'IEEE Engineering in Medicine and Biology, Annual ... · CONTENTS Welcome iij Acknowledgmentsof...
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1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21et Canadian Medical and biological Engineering Conference / Volume One Montreal Canada September 20-23,1995 CMBE8 SCQB EMo UNIVERSITATSBIBLIOTHEK HANNOVER TECHNISCHE 1NF0RMATI0NSBIBLI0THEK demand A. Roberqe Conference Chair Robert E. Kearney Program Chair
Transcript of 'IEEE Engineering in Medicine and Biology, Annual ... · CONTENTS Welcome iij Acknowledgmentsof...
1995 IEEE Engineering in Medicine and Biology17th Annual Conference
and 21et Canadian Medical and biological Engineering Conference /
Volume One
Montreal Canada
September 20-23,1995
CMBE8 SCQB
EMo
UNIVERSITATSBIBLIOTHEKHANNOVER
TECHNISCHE1NF0RMATI0NSBIBLI0THEK
demand A. RoberqeConference Chair
Robert E. KearneyProgram Chair
CONTENTS
Welcomeiij
Acknowledgments of Supportx
EMBC95 Profile
Plenary Session—Keynote Address xiTechnical Program Committee and Highlights xiiTrack Chairs
xiiSpecial Tracks
xiiiMini-Symposia xiii
THEME 1: CARDIOVASCULAR SYSTEM
Track 1.1: Cardiac Electrical ActivitySession 1.1.1: Sinoatrial Node: Thursday Sep 21 10:30 - 408A [slides]
1.1.1.1 Electrical Interactions between Cardiac Cells Studied with "Model Clamp" 1Wilders, Ronald; Verheijck, E. Etienne; Kumar, Rajiv; Golod, David; van Ginneken, Antoni C.G.;Goolsby, William N.; Joyner, Ronald W.; Jongsma, Habo J. Utrecht Univ., Utrecht (TheNetherlands); Univ. ofAmsterdam, Amsterdam (The Netherlands); Emory Univ., Atlanta (U.S.A.)
1.1.1.2 Propagation ofElectrical Activity in the SA Node 3
Winslow, RaimondL. Johns Hopkins Univ., Baltimore (U.S.A.)
1.1.1.3 Phase Sensitivity and Entrainment Studies in a Cardiac Pacemaker Cell 5
Demir, SemahatS.; Clark, John W. (Jr.); Giles, Wayne R. Rice Univ., Houston (U.S.A.); Univ. ofCalgary, Calgary (Canada)
1.1.1.4 Triphasic Response of Sinoatrial Node Pacemaker to Brief Vagal Stimulation: A New Model 7
Dokos, Socrates; Ceiler, Branko; Lovell, Nigel. Univ. ofNew South Wales, Sydney (Australia)
Session 1.1.2: Atrial and Ventricular Cells: Thursday Sep 21 12:00 - 408A [slides]
1.1.2.1 Modeling Cardiac Ventricular Cells 9
Rudy, Yoram, Case Western Reserve Univ., Cleveland (U.S.A.)
1.1.2.2 A Model of the Adult Human Atrial Cell II
Nygren, Anders; Firek, L.; Clark, John W. (Jr.); Lindblad, D.S.; Clark, R.B.; Giles, Wayne R.
Rice Univ., Houston (U.S.A.); Univ. ofCalgary, Calgary (Canada)
1.1.2.3 Cardiac Action Potentials ofVarious Cell Types - A Model Study 13
Weiss, Ingo; Urbaszek, Albrecht; Wetzig, Thomas; Schaldach, Max. Univ. Erlangen-Niirnberg,Erlangen (Germany)
1.1.2.4 Repolarizing Stimuli Followed by Calcium Transmembrane Currents 15
Barr, Roger C; Plonsey, Robert. Duke Univ., Durham (U.S.A.)
1.1.2.5 Modeling the Effects of a Variable Gap Junction Resistance in a Pair of Cardiac Cells 17
Jamaleddine, Rabih; Vinet, Alain; Roberge, FernandA. Univ. de Montreal, Montreal (Canada)
Session 1.1.3: Depolarization and Repolarization: Thursday Sep 21 14:00 - 407 BC [posters]
1.1.3.1 Electrophysiological Interaction between Cardiac Tissues through their Extracellular Space 19
Street, Anne M.; Plonsey, Robert. Duke Univ., Durham (U.S.A.)
1.1.3.2 Effects of Ionic Concentrations on Propagation Speed in Myocardium 21
Feldman, A,; Chernyak, Yuri B.; Cohen, Richard J. Harvard Univ., Cambridge (U.S.A.); Harvard
Univ.-M.I.T., Cambridge (U.S.A.)
1.1.3.3 Sustained Reentrant Propagation in Loops of Decoupled Cardiac Cells 23
Papazoglou, Alexandra A.; Barr, Roger C. Duke Univ., Durham (U.S.A.)
1.1.3.4 Vortex Wave Stability in Homogeneous Excitable Media; Simulations on a Randomized
Discrete Lattice 25
Feldman, A.; Yin, J.Z.; Saxberg, BoE.E; Chernyak, YuriB.; Cohen, Richard J. Harvard Univ.,
Cambridge (U.S.A.); Harvard Univ. M.I.T., Cambridge (U.S.A.)
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1.1.3.5 Simulation ofTriggered Secondary Repolarization at the Junction between Normal and DepressedCardiac Tissue 27
Gagnon, Donald; Roberge, FemandA. Univ. de Montreal, Montreal (Canada)
1.1.3.6 Incorporating Biologic Tissue Data into a Computer Model ofMyocardium: Effects ofHeterogeneousSympathetic Innervation on Dispersion of Repolarization 29
Wagner, Mary B.; Dae, Michael W.; Lesh, Michael D. Univ. ofCalifornia, San Francisco (U.S.A.)
Session 1.1.4: Electrograms and Dynamics: Thursday Sep 21 14:00 - 407 BC [posters]
1.1.4.7 Effects of Parasympathetic Blockade on Nonlinear Dynamics ofHeart Rate in Mice 31
Clairambault, Jean; Mansier, Pascale; Swynghedauw, Bernard. INRJA, Le Chesnay (France);Hop. Lariboisiere, Paris (France)
1.1.4.8 Long-Term Reproducibility of Signal Morphology ofTelemetrically Obtained Intra MyocardialElectrograms from Spontaneous and Paced Heart Beats 33
Schreier, Gunter; Hutten, H.; Schaldach, Max; Auer, T.; Iberer, F.; Tscheliessnigg, Karlheira.
Inst, fur Medizintechnik, Graz (Austria); Univ. Graz, Graz (Austria); Univ. Erlangen-Niirnberg,Erlangen (Germany); Univ. Klinikfur Chirurgie, Graz (Austria)
1.1.4.9 A Non-Invasive Rejection Monitoring System Based on Remote Analysis of IntramyocardialElectrograms from Heart Transplants 35
Schreier, Gunter; Auer, T.; Schaldach, Max; Allmeyer, T.; Grosser, B.; Iberer, F.;
Tscheliessnigg, Karlheinz. Inst, fur Medizintechnik, Graz (Austria); Univ. Klinikfur Chirurgie,Graz (Austria); Univ. Erlangen-Niirnberg, Erlangen (Germany)
1.1.4.10 Investigations of Different Aspects of the Complex Organization ofthe Heart Rate in the Phase Space 37
Hoyer, Dirk; Schmidt, K.; Zwiener, U; Bauer, R. Friedrich-Schiller-Univ., Jena (Germany)
1.1.4.11 Using Measured Intracavitary Potentials to Spatially Map Left-Ventricular Endocardial
Activation Sequences 39
de Jongh, Amy L.; Claydon, Frank J. Univ. ofMemphis, Memphis (U.S.A.)
1.1.4.12 Dynamic Behaviour of a Population ofIonic Channels in Heart Tissue 41
Rauwolf, Thomas P.; Poll, Ruediger. Dresden Univ. ofTechnology, Dresden (Germany)
1.1.4.13 A Model Study ofthe Relationship between T-Wave Area and Recovery Time 43
Awada, Alt; Leon, L. Joshua. £cole Polytechnique, Montreal (Canada); Univ. de Montreal,Montreal (Canada)
1.1.4.14 Frequency Domain Analysis of Fractionation in Ventricular Bipolar Electrograms 45
Panescu, Dorin; Mirotznik, Mark S.; Schwartzwandler, Joseph; Whayne, James G.; Kordis,
Thomas F.; Swanson, DavidK. EP Technologies Inc., Sunnyvale (U.S.A.); Catholic Univ. ofAmerica, Washington (U.S.A.)
Session 1.1.5: Multidimensional Propagation Models: Thursday Sep 21 16:30 - 408A [slides]
1.1.5.1 Relations between Continuous and Discrete Models ofExcitable Media 47
Feldman, A.; Chernyak, YuriB.; Cohen, RichardJ. Harvard Univ., Cambridge (U.S.A.);Harvard Univ. - M.I.T., Cambridge (U.S.A.)
1.1.5.2 Using Domain Decomposition and Priority Queue Integration Scheme to Solve Two-Dimensional
Model of Myocardium ,49
Quan, Weilun; Evans, Steven J.; Hastings, Harold M. Long IslandJewish Med. Ctr., Plainview
(U.S.A.); Hofstra Univ., Hempstead (U.S.A.)
1.1.5.3 Three-Dimensional Bidomain Simulation of Electrical Propagation in Cardiac Tissue 51
Ng, Kwong T.; Saleheen, Hasan I. New Mexico State Univ., Las Cruces (U.S.A.)
1.1.5.4 Loading Effects of Anisotropic Ventricular Muscle on the Peripheral Conduction System 53
Huelsing, Delilah J.; Pollard, AndrewE. Tulane Univ., New Orleans (U.S.A.)
1.1.5.5 Conditions for Wavefront Separation from an Unexcitable Obstacle in Cardiac Tissue ofLow Excitability 55
Starobin, JosefM.; Zilberter, Y.I.; Starmer, C.F. Duke Univ., Durham (U.S.A.)
1.1.5.6 A Study ofPropagation Patterns in Ischemic Myocardium Using Computer Simulations 57
Lit, Louis; Pollard, Andrew E. Tulane Univ., New Orleans (U.S.A.)
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Session 1.1.6: Activation Mapping: Friday Sep 22 10:30 - 408A [slides]
1.1.6.1 Extracellular Potential Measurements of Cultured Fetal Rat Cardiomyocytes 59
Ratner, Jeff; Cafazzo, J.A.; Lam, J; Campbell, D.; Mohabeer, M.K.; Li, R-K. Toronto Hosp.,Toronto (Canada)
1.1.6.2 The Effect ofInterelectrode Distances on Measurements of the Local Potential Gradient
of the Propagating Cardiac Excitation at a Microscopic Size Scale 61
Hofer, E.; Schafferhofer, L; Mohr, G; Karl-Franzens-Univ. Graz, Graz (Austria)
1.1.6.3 Optical Imaging of Activation Patterns in Rabbit Myocardium 63
Abbas, RashidaA.; Lin, Shien-Fong; Wikswo, John P. (Jr.). Vanderbilt Univ., Nashville (U.S.A.)
1.1.6.4 Mapping Intracellular Calcium in Rabbit Hearts with Fluo 3 65
Knisley, Stephen B. Univ. ofAlabama, Birmingham (U.S.A.)
1.1.6.5 Estimation of Cardiac Action Potentials Wavefront 67
Bataillou, Eric; Meste, Olivier; Rix, HerviH; Thakor, Nitish V. CNRS- UNSA, Valbonne
(France); Johns Hopkins Univ., Baltimore (U.S.A.)
1.1.6.6 Mapping ofReentry in a Thin Sheet of Canine Myocardium 69
Nour, C. Abdul; Leon, L. Joshua; Vermeulen, M.; Cardinal, Rene; Roberge, Fernand A. Univ. de
Montreal, Montreal (Canada); Hdp. du Sacre-Coeur, Montreal (Canada)
Session 1.1.7: Myocardial Electrical Anisotropy: Friday Sep 22 16:30 - 408A [slides]
1.1.7.1 Measurement ofMyocardial Conductivities with an Eight-Electrode Technique in the Frequency Domain 71
Le Guyader, Pierre; Savard, Pierre; Trelles, Francisco. Univ. de Montreal, Montreal (Canada);Ecole Polytechnique, Montreal (Canada)
1.1.7.2 A New Method for Measuring Myocardial Conductivities: The Parallel Electrodes Technique 73
Trelles, Francisco; Savard, Pierre; Le Guyader, Pierre. Univ. de Montreal, Montreal (Canada);Ecole Polytechnique, Montreal (Canada)
1.1.7.3 Recovery ofCardiac Transmembrane Potential from Extracellular Potential in Two-Dimensional
Anisotropic Tissue 75
Zimering, Richard; Henriquez, Craig S.; Harrild, David. Duke Univ., Durham (U.S.A.)
1.1.7.4 Modeling Geometrical Aspects in Cardiac Stimulation and Propagation Experiments 77
Platzer, Dieter; Hofer, Ernst; Windisch, Herbert. Univ. ofGraz, Graz (Austria);Karl-Franzens-Univ. Graz, Graz (Austria)
1.1.7.5 A Computer Modeling Study of the Relationship between Intramural Fiber Rotation and the Spatial
Distribution ofRepolarization Properties in Ventricular Myocardium 79
Cates, Adam W.; Pollard, Andrew E. Tulane Univ., New Orleans (U.S.A.)
1.1.7.6 Estimating Fiber Directions from Local Activation Mapping: A Model Study 81
Muzikant, Adam L; Weitzel, ErikK.; Henriquez, CraigS. Duke Univ., Durham (U.S.A.)
Track 1.2: Cardiovascular Dynamics
Session 1.2.1: Cardiac Mechanics: Thursday Sep 21 16:30 - 411A [slides]
1.2.1.1 The Role ofExcitation Contraction Coupling in Cardiac Muscle Mechanics 83
Ter Keurs, Henk E.D.J. Univ. ofCalgary, Calgary (Canada)
1.2.1.2 Pushing Myocardial Cross-Bridges to the Limit 85
Hunter, William. Johns Hopkins Univ., Baltimore (U.S.A.)
1.2.1.3 Understanding Crossbridge Dynamics from a Modeling Perspective 87
Slawnych, Michael P. Univ. ofBritish Columbia, Vancouver (Canada)
1.2.1.4 Dynamic Properties of Myocyte Geometry during the Contractile Process by High Speed Image Processing ...89
Wang, Zhongling; Mukherjee, RupakD; Lam, ChanF.; Spinale, Francis G. Med. Univ. ofSouth
Carolina, Charleston (U.S.A.)
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Session 1.2.3: Hemodynamics of Systemic Arteries: Friday Sep 22 10:30 - 411A [slides]
1.2.3.1 Noninvasive Fiber Optic Measurement of Carotid to Radial Apparent Phase Velocityin Hypertensive Subjects 91
Li, John K.-J; Amory, David; Singh, Maheshwar; McMahon, Richard; Zhu, Ying; Drzewiecki,
GaryM.; O'Hara, DoreneA. Rutgers Univ., Piscataway (U.S.A.); Univ. ofMed. and Dentistry ofNew Jersey, New Brunswick (U.S.A.)
1.2.3.2 On Descriptive and Interpretive Abilities of Arterial System Models 93
Berger, DavidS.; Shroff, Sanjeev G. Univ. ofChicago, Chicago (U.S.A.)
1.2.3.3 Noninvasive Measurement ofVelocity of Small Vibration on Aorta Induced by Impulsive Actuator 95
Kanai, Hiroshi; Murata, Ryoji; Takano, Masahiko; Chubachi, Noriyoshi; Koiwa, Yoshiro.
Tohoku Univ., Sendai (Japan)
1.2.3.4 Pulse Wave Reflection and Arterial Inefficiency 97
Quick, Christopher M.; O'Hara, Dorene A.; Noordergraaf A. Rutgers Univ., Piscataway
(U.S.A.); Univ. ofMed. and Dentistry ofNew Jersey, New Brunswick (U.S.A.); Univ. of
Pennsylvania, Philadelphia (U.S.A.)
1.2.3.5 In-Vitro Investigations on the Influence ofAngioplasty on the Mechanical Properties of Atherosclerotic
Arteries 99
Steenhuijsen, Jacco L.G.; Vaartjes, Simon R.; Poortermans, CeesJ; Boom, Herman B.K. Univ. of
Twente, Enschede (The Netherlands); Hosp. Medisch Spectrum Twente, Enschede (The Netherlands)
1.2.3.6 Interaction Effects of Wave Propagation Phenomena on Aortic Pressure 101
Berger, David S.; Robinson, Kimberly A.; Shroff, Sanjeev G. Univ. ofChicago, Chicago (U.S.A.)
Session 1.2.4: Artificial Cardiovascular Organs and Structures: Friday Sep 22 16:30 - 411A [slides]
1.2.4.1 Functional Conditioning of Skeletal Muscle Ventricles 103
Gustafson, Kenneth J.; Sweeney, James D.; Gibney, John; Brandon, TeddA. Arizona State Univ.,
Tempe (U.S.A.)
1.2.4.2 Vessel Wall Stress and Remodelling at a Graft-Artery Junction 105
Ballyk Peter D.; Walsh, Colin; Ojha, Matadial. Univ. ofToronto, Toronto (Canada)
1.2.4.3 Introduction of a New Coronary Stent with Enhanced Radioopacity and Hemocompatibility 107
Amon, Michael; Winkler, S.; Dekker, A.; Bolz, A.; Mittermayer, C; Schaldach, Max. Univ.
Erlangen-Niirnberg, Erlangen (Germany); Aachen Univ. ofTechnology, Aachen (Germany)
1.2.4.4 Effect ofDynamic Fixation Parameters on the Viscoelastic Properties ofBioprosthetic PorcineAortic Heart Valve Tissue 109
Duncan, Anthony C; Boughner, Derek; Vesely, Ivan. Robarts Research Inst., London (Canada);Univ. of Western Ontario, London (Canada)
1.2.4.5 Optimal Operating Point Controller for Total Artificial Heart Ill
Yoshizawa, Makoto; Tanaka, Akira; Abe, Ken-ichi; Takeda, Hiroshi; Yambe, Tomoyuki; Nitta,
Shin-ichi; Abe, Yuusuke; Imachi, Kou. Tohoku Univ., Sendai (Japan); Tohoku Gakuin Univ.,
Tagajo (Japan); Univ. ofTokyo, Tokyo (Japan)
1.2.4.6 An Adaptive Control Method ofTotal Artificial Heart Based on Peripheral Vascular Resistance 113
Tanaka, Akira; Yoshizawa, Makoto; Abe, Ken-ichi; Takeda, Hiroshi; Yambe, Tomoyuki; Nitta,
Shin-ichi; Abe, Yuusuke; Imachi, Kou. Tohoku Univ., Sendai (Japan); Tohoku Gakuin Univ.,
Tagajo (Japan); Univ. ofTokyo, Tokyo (Japan)
Session 1.2.5: Cardiovascular Signal and Image Processing: Friday Sep 22 14:00 - 407 BC [posters]
1.2.5.1 Neural Modulation ofMyocardial Oxygen Consumption: Experiments and Model Study Based
on the Alternative Starling Curve Description 115
Kerkhof, Peter L.M.; Weber, M.F.; Vanoverschelde, J.-L.J.; Cheng, C.-P. Univ. ofUtrecht,
Utrecht (The Netherlands); Univ. ofLouvain, Brussels (Belgium); Bowman-Gray Sch. ofMed.,
Winston-Salem (U.S.A.)
1.2.5.2 Trajectory Analyses of Time-Varying Multivariate Cardiovascular Dynamics Based on a Distance Measure ..117
Nakao, Mitsuyuki; Hirokawa, Ken; Kawachi, Naoyuki; Yamamoto, Mitsuaki; Munakata, Masanori;
Imai, Yukata; Abe, Keishi. Tohoku Univ., Sendai (Japan); Tohoku Rosai Hosp., Sendai (Japan)
1.2.5.3 Power Spectral Analysis of Arterial Blood Pressure in Mice: Comparison between Normal
and Endothelin-1 Gene Knocked Out Mice 119
Ju, Kihwan; Kuwaki, T.; Cao, W.H.; Ling, G.Y.; Onodera, M.; Kurihara, Y.; Kurihara, H;
Yazaki, Y.; Kumada, M. Univ. ofTokyo, Tokyo (Japan)
xx
1.2.5.4 An Investigation ofthe Stress Relaxation Spectrum ofthe Aortic Valve 121
Lee, MarkK.; Vesely, Ivan. Robarts Research Inst., London (Canada); Univ. of Western Ontario,London (Canada)
1.2.5.5 Comparison ofAbdominal ECG and Phonocardiography for Instantaneous Fetal Heart Rate Detection 123
Peha Castillo, Miguel Angel; Gonzalez Camarena, Ramdn; Aljama C, Tomds; Carrasco Sosa,
Salvador; Ortiz P., Rocio; Vargas, C.G.; Valencia, G. Univ. Autdnoma Metropolitana, Mexico
(Mexico); CIMIGEN, Mexico (Mexico)
1.2.5.6 Spectral Composition of Closing Sounds Produced by Mechanical Prosthetic Heart Valves 125
Sava, Herkole P.; McDonnell, J.T.E.; Grant, P.M. Univ. ofEdinburgh, Edinburgh (U.K.);Hewlett-Packard Labs., Bristol (U.K.)
1.2.5.7 Estimation ofVelocity Vectors with a Finite Element Method for Echocardiographic Images 127
Devlaminck, Vincent; Dubus, J.P. Univ. des Sciences et Technologies de Lille, Lille (France)
1.2.5.8 Classification of Carpentier-Edwards Bioprosthesis Heart Valves Using an Adaptive Single
Layer Perceptron 129
Sava, Herkole P.; Bedi, R.; McDonnell, J.T.E.; Grant, P.M. Univ. ofEdinburgh, Edinburgh (U.K.);Inst, de Recherches Cliniques de Montreal, Montreal (Canada); Hewlett-PackardLabs., Bristol (U.K.)
1.2.5.9 Time-Frequency Analysis ofthe Second Heart Sound Signals 131
Wu, Yanjun; Xu, Jingping; Zhao, Yan; Wang, Jing; Wang, Bo; Cheng, Jingzhi. Xi'an JiaolongUniv., Xi'an (P.R. China)
1.2.5.10 An Adaptive Algorithm for Accurate Estimation of Pulse-Wave Velocity and Attenuation 133
Wang, Jing; Weng, Liangjun; Cheng, Jingzhi. Xi'an Jiaotong Univ., Xi'an (P.R. China); Analog
Scientific, Inc., Shenzhen (P.R. China)
Session 1.2.6: Cardiovascular Measurements and Monitoring: Friday Sep 22 14.00 - 407 BC [posters]
1.2.6.11 Modifications of Point-to-Point Pulse Wave Velocity during Cardiac Cycle 135
Risacher, Frederic; Jossinet, Jacques; Schmitt, M. INSERM, Lyon (France); Hop. E. Herriot,
Lyon (France)
1.2.6.12 Platelet Response to Cardiopulmonary Bypass Studied by Gamma Scintigraphy and Platelet Aggregometry ..137
Li, Jun; Eberhart, Robert C; Harris, FrederickB.; Smith, BradS.; Rajasubramanian, Sathya;
Pandit, Ashit; Jessen, Michael E.; Chao, Robert; Constantinescu, A. Univ. ofTexas, Dallas (U.S.A.)
1.2.6.13 Near-Infrared Spectroscopy (NIRS) Monitoring of Brain Oxygenation during Cardiopulmonary Bypass 139
Benni, PaulB.; Chen, Bo; Amory, David; Li, John K.-J. Rutgers Univ., Piscataway (U.S.A.);
Univ. ofMed. and Dentistry ofNew Jersey, New Brunswick (U.S.A.)
1.2.6.14 Single Artery Pressure - Lumen Volume Curve and Compliance Using Flexible Diaphragm Tonometry 141
Drzewiecki, GaryM.; Bansal, Vineet; Li, JohnK.-J. Rutgers Univ., Piscataway (U.S.A.)
1.2.6.15 A Dynamic and Asymmetric Phantom for Left Ventricular Regional Wall Motion Assessment 143
Millaire, A.; Rousseau, Jean; Ducloux, G.; Marchandise, Xavier. CHUde Lille, Lille (France)
1.2.6.16 A Proof-of-Concept Experiment for the Detection of Occluded Coronary Arteries Using ArraySensor Technology 145
Owsley, Norman L.; Hull, Andrew J.; Ahmed, MohamedH.; Kassal, James. Naval Undersea
Warfare Ctr., New London (U.S.A.); Analysis and Technology Inc., North Stonington (U.S.A.)
1.2.6.17 A Microprocessor-Based Multi-Channel Muscle Stimulator for Skeletal Muscle Cardiac Assist 147
Cheever, ErikA.; Birge, Jonathan R.; Thompson, DirkR.; Santamore, William P.; George, David
T. Swarthmore College, Swarthmore (U.S.A.); Case Western Reserve Univ., Cleveland (U.S.A.);
Univ. ofLouisville, Louisville (U.S.A.)
1.2.6.18 Two Methods for Determination of Diastolic and Systolic Pressures in Fingers 149
Santic, Ante; Saban, Miroslav. Univ. ofZagreb, Zagreb (Croatia)
1.2.6.19 Multichannel Impedance Plethysmography Discriminates Leg Arteries 151
Jossinet, Jacques; Castello, P.; Risacher, Frederic. INSERM, Lyon (France)
1.2.6.20 Venous Compliance Identification by a New Model ofLimb Emptying Measured by Plethysmography:
A Preliminary Study 153
Pochet, Thierry; Leftheriotis, Georges; Gerard, Paul; Saumet, Jean-Louis. Univ. de Liege, Liege
(Belgium); Univ. d'Angers, Angers (France)
XXI
Track 1.3: ECG Signal ProcessingSession 1.3.1: Heart-Rate Variability: Thursday Sep 21 16:30 - 410C [slides]
1.3.1.1 VLF Component Attenuation in Chagasic Myocardiopathy Measured in Holter Recordings 155
Esteller, Rosana; Mora, Fernando; Passariello, Gianfranco; Ginart, Antonio; Mendoza, Ivan;
Marques, Juan. Univ. Simon Bolivar, Caracas (Venezuela); Univ. Central de Venezuela, Caracas
(Venezuela)
1.3.1.2 Power Spectral Density ofUnevenly Sampled Heart Rate Data 157
Laguna, Pablo; Moody, George B.; Mark, Roger G. Univ. de Zaragoza, Zaragoza (Spain)
1.3.1.3 Temporal Dispersion oftheQT Interval and Its Relation to Heart Rate Variability 159
Kostis, William J.; Belina, John C. Cornell Univ., Ithaca (U.S.A.)
1.3.1.4 Nonlinear System Identification ofHeart Rate Variability via an Artificial Neural Network Model 161
Chon, Ki H; Jung, Vivian K; Cohen, Richard J. M.I.T., Cambridge (U.S.A.); Harvard Univ. -
M.I.T., Cambridge (U.S.A.)
1.3.1.5 Multichannel Time-Variant Spectral and Cross-Spectral Parameters for the Evaluation of Cardiovascular
Variability Signals before Syncope 163
Mainardi, Luca T.; Bianchi, Anna Maria; Piazza, Simona; Furlan, Raffaello; Cerutti, Sergio.Politecnico di Milano, Milano (Italy); Univ. di Milano, Milano (Italy)
1.3.1.6 Statistical Properties of Simultaneously Recorded Fluctuations in Pupil Diameter and Heart Rate 165
Yoshida, Hisashi; Mizuta, Hirohisa; Gouhara, T; Suzuki, Y.; Yana, Kazuo; Okuyama, F. Kinki
Univ., Naga (Japan); Hosei Univ., Tokyo (Japan); Tokyo Med. & Dental Univ., Tokyo (Japan)
Session 1.3.2: High-Resolution ECG Innovation: Thursday Sep 21 10:30 - 411A [slides]
1.3.2.1 ECG Compression Using Discrete Symmetric Wavelet Transform 167
Djohan, Adrianus; Nguyen, TruongQ.; Tompkins, Willis J. Univ. ofWisconsin, Madison (U.S.A.)
1.3.2.2 Classification of Normal and His Bundle Branch Block Subjects in Chagas Myocarditis Using
P-R Segment Features Analysis 169
Bravo, R.; Passariello, Gianfranco; Mora, Fernando; Mendoza, Ivan; Lander, Paul. Univ. Simon
Bolivar, Caracas (Venezuela); Univ. Central de Venezuela, Caracas (Venezuela); Univ. ofOklahoma, Oklahoma City (U.S.A.)
1.3.2.3 Atrial Late Potentials in Patients with Paroxysmal Atrial Flutter 171
Ivanov, Gennady G.; Kovtun, Vladimir V; Hasan, Saleem; Titomir, Leonid I. Moscow State
Univ., Moskva (Russia); Pulse Biomedical Inc., Philadelphia (U.S.A.); Russian Academy ofSciences, Moskva (Russia)
1.3.2.4 Multidimensional Adaptive Method for Cancelling EMG Signal from the ECG Signal 173
Bensadoun, Yasmina; Novakov, Emil P.; Raoof, Kosai. Univ. Joseph Fourier, Grenoble (France)
1.3.2.5 Usefulness ofHigh Resolution Electrocardiogram and Heart Rate Variability in Chronic Chagas Disease....
175
Jugo, Diego; Carrasco, Hugo; Medina, Ruben; Castillo, Carlos. Univ. de Los Andes, Merida
(Venezuela)
1.3.2.6 Mutual Information Analysis of Temporal Patterns of Occurrence of Ventricular Premature Beats 177
Osaka, Motohisa; Saitoh, Hirokazu; Someya, Tomoko; Hayakawa, Hirokazu; Cohen, Richard J. M.I.T.,
Cambridge (U.S.A.); Nippon Med. Sck, Tokyo (Japan); Harvard Univ. - M.I.T., Cambridge (U.S.A.)
Session 1.3.3: Arrhythmias and QRS Detection: Thursday Sep 21 14:00 - 407 BC [posters]
1.3.3.15 Detection of Atrial Fibrillation from the Surface Electrocardiogram Using Magnitude-Squared Coherence ...179
Sadek, Lara E.; Ropella, Kristina M. Marquette Univ., Milwaukee (U.S.A.)
1.3.3.16 Identification of Cardiac Arrhythmias Using a Damped Exponential-Predominant Frequency Algorithm 181
Chen, Szi-Wen; Clarkson, Peter M. Ohio State Univ., Columbus (U.S.A.)
1.3.3.17 A Technique for Automated Arrythmia Detection ofHolter ECG 183
Lin, Kang-Ping; Chang, Walter H. Chung Yuan Univ., Chung-Li (Taiwan); Chung Yuan Univ.,
Chung Li (Taiwan)
1.3.3.18 Computerized Analysis of ST vs HR for Assessing Myocardial Ischaemia in the Stress ECG 185
Wong, S.; Almeida, D.; Mora, Fernando; Passariello, Gianfranco; Bevilacqua, Giulio. Univ.
Simon Bolivar, Caracas (Venezuela); Hosp. Universitario, Caracas (Venezuela)
XXII
1.3.3.19 Fetal ECG Extraction from Single Channel Maternal ECG Using SVD and SVR Spectrum 187
Kanjilal, Partha Pratim; Saha, Goutam. Indian Inst, ofTechnology, Kharagpur (India)
1.3.3.20 QRS Detection Using a Fuzzy Neural Network 189
Cohen, Kevin P.; Tompkins, Willis J.; Djohan, Adrianus; Webster, John G; Hu, Yu Hen. Univ. ofWisconsin, Madison (U.S.A.)
Session 1.3.4: ECG Signal Processing: General: Thursday Sep 21 14:00 - 407 BC [posters]
1.3.4.21 Estimating the Instantaneous Frequencies from Heart Rate Tracings: A State Space Approach Based
on Higher-Order Statistics 191
Pilgram, Berndt; Castiglioni, P.; Parati, G; Di Rienzo, Marco. Fondazione Pro Juventute &
Politecnico di Milano, Milano (Italy)
1.3.4.22 ECG Compression Using Artificial Neural Networks 193
Sandham, William A.; Thomson, D.C.; Hamilton, D.J. Univ. ofStrathclyde, Glasgow (U.K.)
1.3.4.23 A Complexity Measure of Heart Rate Variability in Time Domain 195
Lee, Byung Chae; Jeong, K.S.; Lee, M.H.; Shin, K.S.; Minamitani, Haruyuki. Yonsei Univ., Seoul
(South Korea); Keio Univ., Tokyo (Japan)
1.3.4.24 QT Versus RR Spectrum Shades into Sympathetic Control during Hypobaric Hypoxia 197
Negoescu, Radu M.; Filcescu, Viorel; Dinca-Panaitescu, Serban. Inst, ofHygiene and Public
Health, Bucharest (Romania); Inst, ofPhysiology, Bucharest (Romania)
1.3.4.25 Intelligent QRS Typification Using Fuzzy Clustering 199
Kweon, Hyukje; Suk, J.W.; Song, J.S.; Lee, M.H. Yonsei Univ., Seoul (South Korea)
1.3.4.26 A Simple Algorithm for QRS Peak Location: Use on Long Term ECG Recordings from
the HMS-MIT-FFMS Database 201
Risk, Marcelo R.; Sobh, Jamil F.; Barbieri, Riccardo; Saul, J. Philip. Univ. Inst, ofBiomedical
Sciences, Buenos Aires (Argentina); Children's Hosp. & Harvard Med. Sch., Boston (U.S.A.)
1.3.4.27 Adaptive Wavelet Packet Decomposition for ECG Data Compression 203
Krishnamurthy, Nagarajan; Kresch, Edward; Rao, Sathyanarayan S.; Kresh, J Yasha. Villanova
Univ., Villanova (U.S.A.); Hahnemann Univ. Hosp., Philadelphia (U.S.A.)
Track 1.4: Electrocardiography
Session 1.4.1: The Inverse Problem of Electrocardiography: Saturday Sep 23 16:30 - 408A [slides]
1.4.1.1 Myocardial Activation Imaging: A New Theorem and Its Implications 205
Greensite, Fred; Qian, Yao-Jin; Huiskamp, Geertjan. Univ. ofCalifornia, Orange (U.S.A.);Univ. ofNijmegen, Nijmegen (The Netherlands)
1.4.1.2 Physiologically Based Constraints in the Inverse Problem of Electrocardiography 207
Huiskamp, Geertjan; Van Oosterom, Adriaan; Greensite, Fred. Univ. ofNijmegen, Nijmegen(The Netherlands); Univ. ofCalifornia, Orange (U.S.A.)
1.4.1.3 Constraint Evaluation in Inverse Electrocardiography Using Convex Optimization 209
Ahmad, G.F.; Brooks, DanaH; Jacobson, C.A.; MacLeod, Roberts. Northeastern Univ., Boston
(U.S.A.); Univ. ofUtah, Salt Lake City (U.S.A.)
1.4.1.4 Adaptive Regularization of the Inverse Problem in Electrocardiography 211
Khoury, DirarS.; Marks, Gary F. Baylor College ofMed., Houston (U.S.A.)
1.4.1.5 Time-Space Regularization ofthe Inverse Problem ofElectrocardiography 213
El-Jakl, Jalil; Champagnat, Frederic; Goussard, Yves. £cole Polytechnique, Montreal (Canada)
1.4.1.6 The Inverse Problem of Electrocardiography: Application to Localization of Wolff-Parkinson-White
Pre-Excitation Sites 215
Penney, Cindy J.; Clements, John C; Gardner, Martin J; Sterns, Laurence; Hordcek, B. Milan.
Dalhousie Univ., Halifax (Canada)
Session 1.4.2: Laplacian Electrocardiography: Saturday Sep 23 08:30 - 411A [slides]
1.4.2.1 Body Surface Derivative Electrocardiographic Mapping 217
He, Bin. Univ. ofIllinois, Chicago (U.S.A.)
XXIII
1.4.2.2 Effect of Interelectrode Distance on Derivation ofBody Surface Laplacian Maps from Potentials:
A Model Study 219
Ono, Kohei; Hosaka, Hidehiro; Wei, Darning; He, Bin. Nihon Kohden Corp., Tokyo (Japan);Univ. ofIllinois, Chicago (U.S.A.)
1.4.2.3 Comparison ofBody Surface Potential Maps and Laplacian Maps: A Simulation Study 221
Harasawa, Eishi; Wei, Darning; He, Bin. Nihon Kohden Corp., Tokyo (Japan); Univ. ofIllinois,
Chicago (U.S.A.)
1.4.2.4 Simulated Body Surface Potential and Laplacian Maps during the Left Ventricular Breakthrough 223
Wei, Darning; Harasawa, Eishi; He, Bin. Nihon Kohden Corp., Tokyo (Japan); Univ. ofIllinois,
Chicago (U.S.A.)
1.4.2.5 Body Surface Laplacian Mapping ofVentricular Depolarization from Potential Recordings in Humans 225
O'Hara, M.; Yu, X; Mehdi, N; Schwartz, C; Wu, Dongsheng; Avitall, B.; He, Bin. Univ. of
Illinois, Chicago (U.S.A.)
1.4.2.6 Epicardial Inverse Solutions from Body Surface Laplacian Maps: A Model Study 227
Wu, Dongsheng; Saul, J. Philip; He, Bin. Univ. ofIllinois, Chicago (U.S.A.); Children's Hosp. &
Harvard Med. Sck, Boston (U.S.A.)
Session 1.4.3: Forward Problem and Body-Surface Potential Mapping: Saturday Sep 23 14:00 - 407 BC
[posters]
1.4.3.1 Pictorial Representation of Local Events in the Heart on the Basis of Noninvasive
Spherical-Quasiepicardium Potential Mapping 229
Titomir, Leonid!; Trunov, Vladimir G; Poljakova, Irina P. Russian Academy ofSciences, Moskva
(Russia)
1.4.3.2 Magnelocardiographic Localization ofFocal Arrhythmias Using an Equivalent Current Dipole
Source Model 231
Steiner, Paul R; Kynor, David B.; Haupt, Christopher D.; Rowley, HowardA.; Lesh, Michael D.
Univ. ofCalifornia, San Francisco (U.S.A.); Biomagnetic Technologies Inc., San Diego (U.S.A.)
1.4.3.3 The Effects of Inhomogeneities and Anisotropics on Electrocardiographic Fields:
A Three-Dimensional Finite Elemental Study 233
Klepfer, Ruth Nicholson; Johnson, Christopher R,; MacLeod, Roberts. Univ. ofUtah, St. Louis
Park (U.S.A.); Univ. of Utah, Salt Lake City (U.S.A.)
1.4.3.4 Multiple Beat Cardiac Simulations with the Leon-Horacek Propagation Algorithm 235
Xu, Zhenyao; Gulrajani, Ramesh M.; Leon, L. Joshua. Univ. de Montreal, Montreal (Canada)
1.4.3.5 Diagnostic Classification ofPatients with Ventricular Tachycardia, Based on Spatial and TemporalFeatures Derived from Body-Surface Potential Maps 237
Hubley-Kozey, Cheryl L.; Mitchell, L. Brent; Gardner, Martin J; Warren, James W.; Penney,
Cindy J; Smith, Eldon R.; Hordcek, B. Milan. Dalhousie Univ., Halifax (Canada); Univ. of
Calgary, Calgary (Canada)
1.4.3.6 The Effects of Myocardial Anisotropy in the Forward Problem of Electrocardiography 239
Thivierge, Maryse; Gulrajani, Ramesh M.; Savard, Pierre. Univ. de Montreal, Montreal
(Canada); Ecole Polytechnique, Montreal (Canada)
1.4.3.7 Body Surface Mapping Guided VT Localization: User Interface Considerations 241
Linnenbank Andre C; Peeters, Heidi A.P.; SippensGroenewegen, Arne; van Hemel, Norbert M.;
Grimbergen, Kees A. Univ. ofAmsterdam, Amsterdam (The Netherlands); Univ. Hosp. Utrecht,
Utrecht (The Netherlands); Antonius Hosp., Nieuwegein (The Netherlands)
1.4.3.8 Wavelet-Based Temporal Segmentation and Analysis of Body Surface Potential Maps duringPTCA-Induced Ischemia 243
Brooks, DanaH; Chary, R.V.; Krim, H; On, H; MacLeod, Roberts. Northeastern Univ.,
Boston (U.S.A.); M.I.T., Cambridge (U.S.A.); Univ. of Utah, Salt Lake City (U.S.A.)
1.4.3.9 Electrocardiographic Mapping in a Realistic Torso Tank Preparation 245
MacLeod, Roberts.; Taccardi, Bruno; Lux, Robert L. Univ. of Utah, Salt Lake City (U.S.A.)
1.4.3.10 Parallel Finite Difference Solution ofGeneral Inhomogeneous Anisotropic Bio-Electrostatic Problems 247
Saleheen, Hasan I.; Ng, Kwong T. New Mexico Stale Univ., Las Cruces (U.S.A.)
xxiv
Track 1.5: Pacing and Defibrillation
Session 1.5.1: Cardiac Defibrillation 1: Saturday Sep 23 08:30 - 408A [slides]
1.5.1.1 Cardiac Defibrillation 249
Smith, William M. Univ. ofAlabama, Birmingham (U.S.A.)
1.5.1.2 Comparison ofElectroporation Thresholds ofCardiac Cell Membranes by Rectangularand Exponential Pulses 251
Tung, Leslie; O'Neill, RoryJ. Johns Hopkins Univ., Baltimore (U.S.A.)
1.5.1.4 Macroscopic Model of Electroporating Membrane 253
Krassowska, Wanda. Duke Univ., Durham (U.S.A.)
1.5.1.5 Virtual Electrode Effects in a Bidomain Model with Electroporating Membrane 255
Trayanova, Natalia; Krassowska, Wanda. Tulane Univ., New Orleans (U.S.A.); Duke Univ., Durham (U.S.A.)
1.5.1.6 Biphasic Shocks Induce More Uniform Repolarization than Monophasic Shocks in a Cardiac
Cellular Field Excitation Model 257
Sobie, Eric A.; Fishier, Matthew G.; Tung, Leslie. Johns Hopkins Univ., Baltimore (U.S.A.)
Session 1.5.2: Cardiac Defibrillation II: Macroscopic: Saturday Sep 23 10:30 - 408A [slides]
1.5.2.1 Optical Micromapping Reveals Potential Distributions on Cardiomyocytes during Field Stimulation 259
Windisch, Herbert; Ahammer, H.; Schaffer, P.; Miiller, W.; Hartbauer, M. Univ. ofGraz, Graz (Austria)
1.5.2.2 Diastolic Intervals Accompany Increased Cycle Length Following Two Minutes Fibrillation 261
Jones, Janice L.; Tovar, Oscar H. Georgetown Univ., Washington (U.S.A.); Dept. of Veterans
Affairs Med. Ctr., Washington (U.S.A.)
1.5.2.4 The Matched-Pairs Defibrillation Efficacy Hypothesis Test 263
Malkin, Robert A. City College ofNew York, New York (U.S.A.)
1.5.2.5 Internal Atrial Defibrillation: The Importance of Lead Location, Waveform Morphology, and Shock
Synchronization 265
Cooper, RandolphA. Univ. ofAlabama, Birmingham (U.S.A.)
1.5.2.6 The Effect of Uniform and Non-Uniform Electric Fields on Defibrillation Thresholds for Monophasicand Biphasic Waveforms 267
Mears, Andrew Neville; Holley, Loraine K. Univ. ofTechnology Sydney, Sydney (Australia)
Session 1.5.3: Radiofrequency and Microwave Ablation I: Saturday Sep 23 10:30 - 411A [slides]
1.5.3.1 Numerical Models ofRF Ablation in Myocardium 269
Pearce, John A.; Thomsen, Sharon. Univ. ofTexas, Austin (U.S.A.); UT/M.D. Anderson Cancer
Ctr., Houston (U.S.A.)
1.5.3.2 Comparison of Analytical Estimations and Actual Intramyocardial Temperature Gradients
during Intramural Radio-Frequency Ablation In Vivo 271
Daly, Michael P. J.; Kovoor, Pramesh; Nguyen, Hung T.; Ross, David L.; Dewsnap, B.; Eipper,V.E. Univ. ofTechnology Sydney, Sydney (Australia); Westmead Hosp., Sydney (Australia)
1.5.3.3 Chilled-Tip Electrode Radio Frequency Ablation of the Endocardium: A Finite Element Study 273
Jain, MuditK; Wolf, Patrick D.; Henriquez, Craig S. Dept. ofBiomedical Engineering, Durham
(U.S.A.); Duke Univ., Durham (U.S.A.)
1.5.3.4 Contiguous Lesions by Radiofrequency Multielectrode Ablation 275
Panescu, Dorin; Fleischman, Sidney D.; Whayne, James G; Swanson, DavidK. EP Technologies
Inc., Sunnyvale (U.S.A.)
1.5.3.5 Numerical Model of Microwave Ablation ofthe Myocardium 277
Kaouk, Zouheir; Khebir, Ahmed; Savard, Pierre. Univ. de Montreal, Montreal (Canada); Ecole
Polytechnique, Montreal (Canada)
1.5.3.6 Metal-Tip Monopoles for Microwave Ablation 279
Labonti, Sylvain; Blais, A.; Roy, L. Univ. ofOttawa, Ottawa (Canada)
Session 1.5.4: Organization of Fibrillation: Friday Sep 22 16:30 - 41 OB [slides]
1.5.4.1 The Coherence Spectrum in an Experimental Model of Ventricular Fibrillation 281
Sierra Menendez, Gilberto; Cabrera, Anastasio; Martinez-Rubio, Antonio; Fetsch, Thomas; Reinhardt,
Lutz; Shenasa, Hossein; Breithardt, Gunter. Medizinische Klinik und Poliklinik, Mnnster (Germany);
Inst, ofCardiology, Habana (Cuba); Hosp. ofWestflische Wilhelms-Univ., Miinster (Germany)
XXV
1.5.4.2 Effect of Epinephrine on Frequency Content ofVentricular Fibrillation and Probability of SpontaneousDefibrillation 283
Tovar, OscarH; Prokopczuk, Andrzej; Jones, Janice L. Dept. of Veterans Affairs Med. Ctr.,Washington (U.S.A.); Georgetown Univ., Washington (U.S.A.)
1.5.4.3 Evolution ofActivation Dynamics during Early Stages of Electrically-Induced Ventricular Fibrillation 285
Chattipakorn, Nipon; Kenknight, Bruce H; Bayly, Philip V.; Windecker, Stephan, Usui,
Masahiro; Rogers, JackM.; Johnson, Chad R.; Ideker, Raymond E; Smith, William M. Univ. ofAlabama, Birmingham (U.S.A.); Washington Univ., St. Louis (U.S.A.)
1.5.4.4 Development of aNonlinearly Deterministic Signal Generator for Real Time Chaos Control Testing 287
Witkowski, Francis X; Penkoske, Patricia A.; Plonsey, Robert; Kaplan, Daniel T; Spano, Mark
L.; Ditto, William L.; Kavanagh, Katherine M. Univ. ofAlberta, Edmonton (Canada); Duke
Univ., Durham (U.S.A.); McGill Univ., Montreal (Canada); Naval Surface Warfare Ctr., Silver
Spring (U.S.A.); Georgia Inst, ofTechnology, Atlanta (U.S.A.)
1.5.4.5 Maximum Entropy Estimation of Spatial Patterns of Activation Rate during Ventricular Fibrillation 289
Bayly, Philip V; Kenknight, Bruce H; Chattipakorn, Nipon; Windecker, Stephan; Usui,
Masahiro; Rogers, JackM.; Johnson, ChadR.; Ideker, RaymondE.; Smith, William M.
Washington Univ., St. Louis (U.S.A.); Univ. ofAlabama, Birmingham (U.S.A.)
1.5.4.6 Discrimination ofAtrial Fibrillation from Regular Rhythms by Spatial Precision ofActivation Direction 291
Schoenwald, Adam T; Sahakian, Alan V.; Swiryn, Steven. Northwestern Univ., Evanston (U.S.A.)
Session 1.5.5: Radiofrequency and Microwave Ablation: II: Saturday Sep 23 14:00 - 407 BC [posters]
1.5.5.11 Effects of Temperature Sensor Placement on Performance of Temperature-Controlled Ablation 293
Panescu, Dorin; Fleischman, Sidney D.; Whayne, James G; Swanson, David K. EP TechnologiesInc., Sunnyvale (U.S.A.)
1.5.5.12 A Three-Dimensional Model for Microwave Treatment of Heart Rhythm Disorders 295
Khebir, Ahmed; Savard, Pierre. Univ. de Montreal, Montreal (Canada); Ecole Polytechnique,Montreal (Canada)
1.5.5.13 A Flexible, Miniaturized, and Focused Microwave Antenna System for Medical Applications 297
Kasevich, Raymonds. York (U.S.A.)
1.5.5.14 Temperature Distribution under Cooled Electrodes during Radiofrequency Catheter Ablation 299
Panescu, Dorin; Fleischman, Sidney D.; Whayne, James G; Swanson, David K. EP Technologies
Inc., Sunnyvale (U.S.A.)
Session 1.5.6: Defibrillation Electrodes: Saturday Sep 23 14:00 - 407 BC [posters]
1.5.6.15 Chronic Effects of Epicardial Patch Electrodes on Transthoracic Defibrillation 301
McDaniel, Wayne C; Pope, Eric R; Walls, Joseph 71; Zhang, Qin; Sullivan, MarkD.; Hogan,
Margaret C; Yang, Xiao-feng; Curtis, Jack J. Univ. ofMissouri, Columbia (U.S.A.)
1.5.6.16 Effect of Various Metal Areas with the Same Shadow Area on Defibrillation Electrode Resistance 303
Bonner, Matthew; Mehra, Rahul. Medtronic Inc., Minneapolis (U.S.A.)
1.5.6.17 DefibSim: An Interactive Defribrillation Device Design Tool 305
Schmidt, John A.; Johnson, Christopher R. Univ. of Utah, Salt Lake City (U.S.A.)
1.5.6.18 Modifying Potential Gradients with Pentapolar Transvenous Defibrillation Electrodes in a Saline Tank 307
Altman, P.; Miner, B.; Hoffmann, Drew A. Ventritex Inc., Sunnyvale (U.S.A.)
1.5.6.19 Effect of Electrode Polarization on Sensing Performance in Transvenous Defibrillation Leads 309
Hoffmann, Drew A.; Yang, Weiqun. Ventritex Inc., Sunnyvale (U.S.A.)
1.5.6.20 Effect of Point of Connection on the Surface Current Profile over Transvenous Defibrillation Electrodes 311
Pendekanti, Rajesh; Henriquez, Craig S.; Wolf, PatrickD.; Hoffmann, Drew A. Duke Univ.,
Durham (U.S.A.); Ventritex Inc., Sunnyvale (U.S.A.)
Session 1.5.7: Defibrillation Fields: Saturday Sep 23 16:30 - 411A [slides]
1.5.7.1 Characterization ofNon-Linear Electrical Behavior of Lipid Bilayer of Cell Membranes 313
Gowrishankar, T. R.; Chen, Wei; Lee, Raphael C. Univ. ofChicago, Chicago (U.S.A.)
1.5.7.2 A Model Study of Defibrillation of Cardiac Tissue 315
Argoubi, Mohammed Taieb; Leon, L. Joshua. Univ. de Montreal, Montreal (Canada)
xxvi
1.5.7.3 Electrode Polarity Effects on the Shock-Induced Transmembrane Potential Distribution
in the Canine Heart 317
Trayanova, Natalia; Eason, James C; Henriquez, Craig S. Tulane Univ., New Orleans (U.S.A.);Duke Univ., Durham (U.S.A.)
1.5.7.4 Pericardial Effusion Increases Defibrillation Threshold - A Finite Element Method Study 319
Chou, Shih-tsun Alex; Nyenhuis, John A.; Bourland, Joe D.; Tacker, Willis A.; Hansen, David J.
Purdue Univ., West Lafayette (U.S.A.)
1.5.7.5 The Effect of Skeletal Muscle Layer Modeling on Cardiac Damage Estimates during Transthoracic
Defibrillation 321
de Jongh, Amy L.; Claydon, Frank J. Univ. ofMemphis, Memphis (U.S.A.)
1.5.7.6 Experimental and Simulated Human Body Surface Potentials from Applied Transthoracic Currents 323
Dabasinskas, Andrew J; Eason, James C; Schmidt, John A. Duke Univ., Durham (U.S.A.);
Univ. of Utah, Salt Lake City (U.S.A.)
Session 1.5.8: Pacing: Leads and Thresholds: Friday Sep 22 14:00 - 407 BC [posters]
1.5.8.21 Magnetically Induced Myocardial Electric Fields: A Finite Element Study 325
Wang, Weiping; Ragan, Paula M.; Eisenberg, Solomon R. Boston Univ., Boston (U.S.A.)
1.5.8.22 Clinical Validation of an Autonomous Nervous System Controlled Pacemaker 327
Schaldach, Max; Palley, R.; Hutten, H. Univ. Erlangen-Niirnberg, Erlangen (Germany);Univ. Graz, Graz (Austria)
1.5.8.23 A New Method of Single-Lead DDD Stimulation 329
Frohlich, Ronald; Riedmuller, J.; Bolz, A.; Schaldach, Max. Univ. Erlangen-Niirnberg, Erlangen(Germany)
1.5.8.24 Ventricular Evoked Response Measurements from Pacing Electrodes 331
Soykan, Orhan; Schuelke, Robert; Meador, John; Morrison, Scott; Blow, Brian. Medtronic Inc.,
Minneapolis (U.S.A.)
1.5.8.25 High Frequency Impedance Measurements from Implanted Unipolar Pacing Leads 333
Steinhaus, Bruce M.; Nolan, James A.; Samuelson, Kent E.; Morris, Robert A.; Dawson, Albert
K. Telectronics Pacing Systems, Englewood (U.S.A.)
1.5.8.26 Automatic Strength Duration Plot to Optimize Pacing Amplitude and Pulse Width 335
Lu, Richard M.T.; Steinhaus, Bruce M. Telectronics Pacing Systems, Englewood (U.S.A.)
1.5.8.27 Comparison ofPaced and Intrinsic ECG Characteristics for Measurement of Pacing Threshold 337
Kim, Jungkuk; Kadhiresan, Veerichetty; Spinelli, Julio C. Cardiac Pacemakers Inc., St. Paul (U.S.A.)
1.5.8.28 A Surface Charge Integral Equation Model for Intracardiac Electrogram Sensing Electrodes 339
Sun, Weimin; Min, Shirley. Medtronic Inc., Minneapolis (U.S.A.)
1.5.8.29 Detecting Neurohumoral Influences on the Heart by Analysis of Monophasic Action Potentials Measured
with Fractalty Coated Leads 341
Wetzig, Thomas; Bolz, A.; Gohl, K; Richter, P.; Gottwik, M.; Frohlich, Ronald; Schaldach, Max.
Univ. Erlangen-Niirnberg, Erlangen (Germany); Clinical Ctr. Nurnberg, Nurnberg (Germany)
Session 1.5.9: Signal Processing and Instrumentaton: Saturday Sep 23 14:00 - 407 BC [posters]
1.5.9.21 A Combined Method for the Detection of Ventricular Fibrillation 343
Sierra Menendez, Gilberto; Cabrera, Anastasio; Martinez-Rubio, Antonio; Reinhardt, Lutz; Fetsch, Thomas;
Yli-Mdyry, Sinikka; Balkenhoff, Klaus; Breithardt, Gunter. Medizinische Klinik und Poliklinik, Miinster
(Germany); Inst, ofCardiology, Habana (Cuba); Hosp. ofWestfSlische Wilhelms-Univ., Miinster (Germany)
1.5.9.22 A Versatile PC-Based Stimulator for Experimental Cardiac Investigations 345
Tremblay, Maurice; Billette, Jacques. Univ. de Montreal, Montreal (Canada)
1.5.9.23 Cardiac Pacing in a Chronically-Instrumented Non-Human Primate Model during Centrifugation 347
Reister, Craig A.; Muniz, Gary; Ferguson, Tim; Drew, Guy; Fanton, John W. United States Air
Force, Brooks AFB (U.S.A.)
1.5.9.24 Efficient Frequency Domain Characterization of Myocardial Activation Dynamics during Ventricular
Fibrillation 349
Kenknight, Bruce H; Bayly, Philip V; Chattipakorn, Nipon; Windecker, Stephan; Usui,
Masahiro; Rogers, JackM.; Johnson, ChadR.; Ideker, RaymondE.; Smith, William M.
Univ. ofAlabama, Birmingham (U.S.A.); Washington Univ., St. Louis (U.S.A.)
XXVII
1.5.9.25 A Neural Network Method for Detecting Unipolar Activations during Ventricular Fibrillation 351
Tohmaz, Abdul S.; Blanchard, Susan M.; Clark, Bryan P.; Johnson, Eric E.; Ideker, Raymond E.
North Carolina State Univ., Raleigh (U.S.A.)
1.5.9.26 Automatic Generation and Adaptation of 3-D Finite Element Models from X-Ray CT Images 353
Schimpf, PaulH; Kim, Yongmin; Haynor, D.R. Univ. ofWashington, Seattle (U.S.A.)
1.5.9.27 Electro-Mediated Damages in the Narrowest Pore ofthe Voltage-Gated K Channels on Skeletal
Muscle Membrane 355
Chen, Wei; Lee, Raphael C. Univ. ofChicago, Chicago (U.S.A.)
1.5.9.28 A Method for Quantifying the Repeatability of Activation Wavefronts during Ventricular Fibrillation 357
Rogers, JackM.; Usui, Masahiro; Ideker, Raymond E.; Smith, William M. Univ. ofAlabama,
Birmingham (U.S.A.)
1.5.9.29 Visualization of Finite Element Models ofDefibrillation 359
Jantz, S.J.; Schimpf, PaulH; Wang, Y.; Haynor, D.R.; Kim, Yongmin. Univ. ofWashington, Seattle (U.S.A.)
1.5.9.30 The Power Spectrum in an Experimental Model of Ventricular Fibrillation.
Effects ofthe Vagal Stimulation 361
Sierra Menendez, Gilberto; Cabrera, Anastasio; Martinez-Rubio, Antonio; Fetsch, Thomas; Reinhardt, Lutz;
Yli-Mayry, Sinikka; Borggrefe, Martin; Breithardt, Gunter. Medizinische Klinik und Poliklinik, Miinster
(Germany); Inst, ofCardiology, Habana (Cuba); Hosp. ofWestfalische Wilhelms-Univ., Miinster (Germany)
THEME 2: IMAGING
Track 2.1: 3D Imaging
Session 2.1.1: Image-Guided Surgery: Thursday Sep 21 08:30 - 411B [slides]
2.1.1.1 Preliminary In-Theatre Experience with the VISLAN, a Video Based Surgical Guidance System 363
Zhao, Jason; Colchester, A.C.F.; Henri, C.J.; Holton-Tainter, K. Guy's Hosp., London (U.K.)
2.1.1.2 Incorporation of Stereoscopic Video into an Image-Guided Neurosurgery Environment 365
Pisani, Laura J.; Comeau, R.M.; Davey, Bruce L.K; Peters, Terry M. McGill Univ., Montreal (Canada)
2.1.1.3 Integration ofMR Images and EEG Maps 367
Rizzo, Giovanna; Bianchi, Anna Maria; Locatelli, T.; Origgi, D.; Gilardi, M.C.; Delmonte, F.;
Cerati, R.; Comi, G.; Fazio, F; Cerutti, Sergio. Scientific Inst. M. San Raffaele, Milano (Italy);Politecnico di Milano, Milano (Italy)
2.1.1.4 Displaying EEG Data for Neurosurgical Guidance 369
Davey, Bruce L.K.; Asselin, M.C.; Macdonald, D.; Gotman, Jean; Peters, Terry M. McGill Univ.,Montrial (Canada); Montreal Neurological Inst, and Hosp., Montreal (Canada)
2.1.1.5 Angiographic Images in Interactive, Image-Guided Neurosurgery 371
Bass, W. Andrew; Galloway, Robert L. (Jr.); Paschal, Cynthia B. Vanderbilt Univ., Nashville (U.S.A.)
2.1.1.6 Distributed Parallel Volume Rendering Applied to Virtual Endoscopy 373
Pelizzari, Charles A.; Grzeszczuk, R.P.; Johnson, L.S.; Ryan, M.J. Univ. ofChicago, Chicago (U.S.A.)
Session 2.1.2: 3D Imaging: Thursday Sep 21 14:00 - 407 BC [posters]
2.1.2.1 Digital Image Processing for Three Dimensional Reconstruction 375
Gretzinger, David T; Walsh, Colin. Univ. ofToronto, Toronto (Canada)
2.1.2.2 A SPECT-CT Image Fusion Technique for Diagnosis ofHead-Neck Cancer 377
Lin, Kang-Ping; Yao, Wei-Jen. Chung Yuan Univ., Chung-Li (Taiwan); Cheng-KungNational Univ. (Taiwan)
2.1.2.3 Three Dimensional Object Recognition Using a Recurrent Attractor Neural Network 379
Yoon, RichardS.; Barrett, DonS.; Kwan, Hon C. Univ. ofToronto, Toronto (Canada); Toronto
East Gen. Hosp., Toronto (Canada)
2.1.2.4 ANIA: A Tool for Angiographic Image Analysis and Study 381
La Cruz, A.; Morinelli, G.; Windyga, P.; Bevilacqua, G; Silva, J. Univ. Simon Bolivar, Caracas (Venezuela)
2.1.2.5 Automatic Registration of Serial Sections Using a Wavelet-Based Multiresolution Approach 383
Deubler, J; Bastian, T; Boulin, C; Olivo, Jean-Christophe. European Molecular Biology Lab.,Heidelberg (Germany)
XXVlll
2.1.2.6 Incorporation ofPatient Displacement into a Trunk Reconstruction Technique 385
Marcil, Eric; Dansereau, Jean; Labelle, Hubert; de Guise, JacquesA. Ecole Polytechnique, Montreal
(Canada); Hop. Ste-Justine, Montreal (Canada); Ecole de Technologic Superieure, Montreal (Canada)
2.1.2.7 Automatic 3D Shape Reconstruction of Bones 387
Pardo Lopez, Jose Manuel; Cabello, D.; Heras, J. Univ. de Santiago de Compostela, Santiago de
Compostela (Spain)
2.1.2.8 Estimation ofSearch-Space in 3D Coronary Artery Reconstruction Using Angiographic Biplane Images 389
Windyga, Piotr; Bevilacqua, Giulio; Waltesrpacher, D.; Coatrieux, Jean-Louis; Garreau,
Mireille. Univ. Simon Bolivar, Caracas (Venezuela); Univ. Karlsruhe, Karlsruhe (Germany);Univ. de Rennes I, Rennes (France)
2.1.2.9 Reduction ofError Measurements for an Accurate 3D Motion Assessment in Biplane Cineangiography 391
Cheriet, Farida; Meunier, Jean; Lesperance, Jacques. Univ. de Montreal, Montreal (Canada);
Inst, de Cardiologie de Montreal, Montreal (Canada)
2.1.2.10 Multi-Dimensional Vessels Extraction Using Crest Lines 393
Prinet, Veronique; Monga, Oliver; Rocchisani, Jean-Marie. INRIA Rocquencourt, Le Chesnay (France)
2.1.2.11 LLNL High Resolution Extremity CT for Biomechanics Modeling 395
Ashby, A. Elaine; Brand, Hal; Hollerbach, Karin; Logan, Clint M.; Martz, H.E. Univ. of
California, Livermore (U.S.A.); Lawrence Livermore Nat. Lab., Livermore (U.S.A.)
2.1.2.12 3D Radiographic Reconstruction of Thoracic Facet Joints 397
Petit, Yvan; Dansereau, Jean; Labelle, Hubert; de Guise, Jacques A. Ecole Polytechnique, Montreal
(Canada); Hop. Ste-Justine, Montreal (Canada); Ecole de Technologie Superieure, Montreal (Canada)
2.1.2.13 Visualization for Image Guided Neurosurgery 399
Peters, Terry M.; Comeau, R.M.; Pisani, Laura J.; Bakar, Majd; Munger, P.; Davey, Bruce L.K.
McGill Univ., Montreal (Canada)
2.1.2.14 A Method to Match Human Sulci in 3D-Space 401
Luo, Shuqian; Evans, Alan C. MontrealNeurological Inst, Montreal (Canada); McGill Univ.,
Montreal (Canada)
2.1.2.15 Automatic Detection, Identification, and Registration ofAnatomical Landmarks from 3D Laser
Digitizer Body Segment Scans 403
Gleisen, GlenR.; Mason, Carl P.; Houston, VernL.; Whitestone, JenniferJ.; McQuiston,Barbara K; Beattie, Aaron C. Sytronics Inc., Dayton (U.S.A.); Dept. Veterans Affairs Med. Ctr.,
New York (U.S.A.); Wright-Patterson AFB (U.S.A.)
Session 2.1.3: Image Processing: Segmentation: Thursday Sep 21 10:30 - 411B [slides]
2.1.3.1 Segmentation of Ventricular Angiographic Images Using Fuzzy Clustering 405
Medina, Rubin; Garreau, Mireille; Jugo, Diego; Castillo, Carlos; Toro, Javier. Univ. de Los
Andes, Merida (Venezuela); Univ. de Rennes I, Rennes (France)
2.1.3.2 Robust Boundary Detection for Skin Lesions 407
Denton, William E.; Duller, A.W.G.; Fish, Peter J. Univ. of Wales, Bangor (U.K.)
2.1.3.3 New Efficient Image Segmentation Algorithm: Competitive Region Growing ofInitial Regions 409
Alakuijala, Jyrki; Laitinen, Joakim; Sallinen, Sami; Helminen, Hannu. Varian-Dosetek Gy, Espoo
(Finland)
2.1.3.4 A Deformable Region Model for Locating the Boundary of Brain Tumor 411
Zhu, Hui; Chan, Francis H.Y.; Lam, F.K.; Poon, Paul W.F. Univ. ofHong Kong (Hong Kong);
National Cheng Rung Univ., Tainen (Taiwan)
2.1.3.5 Validity Guided Clustering for Brain Tumor Segmentation 413
Velthuizen, Robert P. Univ. ofSouth Florida, Tampa (U.S.A.)
2.1.3.6 Model-Based Multiple Active Contours Matching for Radiographic Images 415
Mallouche, HailS.; de Guise, Jacques A.; Goussard, Yves. Ecole Polytechnique, Montreal
(Canada); Ecole de Technologie Superieure, Montreal (Canada)
Session 2.1.4: Image Processing: General: Thursday Sep 21 14:00 - 407 BC [posters]
2.1.4.16 Photoelastic Analysis Using Chromatic Interpretation ofDigitized Video 417
Sparling, Sherri A.; Small, Carolyn F. Queen's Univ., Kingston (Canada)
XXIX
2.1.4.17 Optical Flow Assessment of Parabolic Velocity Profile in Cineangiography: A Simulation Study 419
Imbert, Bernard; Meunier, Jean; Mongrain, RosaireA.; Hudon, Gittes; Bertrand, Michel.
Univ. de Montreal, Montreal (Canada); Inst, de Cardiologie de Montreal, Montreal (Canada);Ecole Polytechnique, Montreal (Canada)
2.1.4.18 ANew Methodology to Analyze Images from Videokeratography 421
Boi, Jean-Marc; Bulot, Rimy; Sequeira, Jean. Lab. d'Informatique d'Avignon, Avignon (France);Lab. d'Informatique de Marseille, Marseille (France)
2.1.4.19 Accelerating Blind Deconvolution Algorithm for Light Microscopy 423
Bhattacharyya, Santosh K.; Szarowski, D.; McCauley, P.; Turner, J; Holmes, Timothy J.
Rensselaer Polytechnic Inst., Troy (U.S.A.); New York State Dept. ofHealth, Albany (U.S.A.);
Autoquant Imaging Inc., Troy (U.S.A.)
2.1.4.20 A System for Osseointegration Quantification in Oral Implantology 425
Imbert, Bernard; Meunier, Jean; Camarda, Aldo; Berbari, Roni. Univ. de Montreal, Montrial
(Canada); Univ. de Montreal & Saint Mary's Hosp., Montrial (Canada)
2.1.4.21 An Automated Method to Detect Single-Leg Separation in Radiographic Images of Bjork-Shiley
60° and 70° Convexo-Concave Heart Valves 427
Cesmeli, Erdogan; Powell, Kimerly A.; Cornhill, J. Frederick. Ohio State Univ., Columbus
(U.S.A.); Cleveland Clinic Foundation, Cleveland (U.S.A.)
2.1.4.22 ASIC Based Peroperative CdTe Camera 429
Bedoui, H; Rousseau, Jean; Masquelier, P.; Marchandise, Xavier. CHUde Lille, Lille (France);
Inst. Superieur d'Electranique du Nord, Lille (France)
Session 2.1.5: PACS and Image Encoding: Wednesday Sep 20 14:00 - 407 BC [posters]
2.1.5.1 Medical Image Compression using B-spline Wavelet Transform 431
Alirezaie, Javad; Jernigan, M. E. Univ. ofWaterloo, Waterloo (Canada)
2.1.5.2 A C++ Data Dictionary for ACR-NEMA Image Information 433
Zhang, Hua-lei; Fritz, Steven L; Roys, Steve; Munjal, Sunita. Univ. ofMaryland, Baltimore
(U.S.A.); Univ. ofMaryland (U.S.A.)
2.1.5.3 Class Library Design for DICOM in C++ 435
Zhang, Hua-lei; Fritz, Steven L; Roys, Steve. Univ. ofMaryland, Baltimore (U.S.A.)
2.1.5.4 A Simple Spatially Varying DPCM Technique for Lossless Compression of Medical Images 437
Das, Manohar; Lin, Chi-Dar. Oakland Univ., Rochester (U.S.A.); Chrysler Corp., Troy (U.S.A.)
2.1.5.5 Subband Coding of Radiographic Image Sequence Using aNeural Network Approach 439
Park Sang H; Han, Young 0. Yonsei Univ., Seoul (South Korea)
2.1.5.6 Embedded Zerotree Wavelet Compression ofMedical Images 441
Manduca, Armando. Mayo Clinic andFoundation, Rochester (U.S.A.)
Session 2.1.6: 3D Imaging/Stereotaxy: Wednesday Sep 20 16:30 - 411B [slides]
2.1.6.1 On-Line Registration for Longitudinal MR Spectroscopy Studies 443
Dawant, BenoitM.; Li, Tong; Maurer, Calvin R. (Jr.); Kessler, Robert M. Vanderbilt Univ.,
Nashville (U.S.A.)
2.1.6.2 Correction ofImage Distortion for Stereotactic DSA Localization 445
Rousseau, Jean; Coste, E.; Gibon, £>.; Pertuzon, B.; Vasseur, C; Marchandise, Xavier. CHU de
Lille, Lille (France); Ctr. d'Automatique, Lille (France)
2.1.6.3 Advantages of3-D Over 2-D Brain Mapping in the Detection of Central Nervous System Tumors 447
Gutierrez, Josefina; Igartua, Luis; Medina, Veronica; Valdis, Raquel. Inst. Nacional de Neurologia y
Neuroclrugla Manuel Velasco Sudrez (Mexico); Univ. Autonoma Metropolitana, Mixico (Mexico)
2.1.6.4 Evaluation of Digital Radiography for 3D Reconstruction 449
Haigron, Pascal J.; Riot, X.; Collorec, R.; Rolland, Y. Univ. de Rennes, Rennes (France);Hop. Sud, Rennes (France)
2.1.6.5 High Speed Dynamic 3-D Surface Imaging via Stereotactic Radiography 451
Thornton, Micheal M.; Vesely, Ivan. Robarts Research Inst, London (Canada); Univ. of Western
Ontario, London (Canada)
2.1.6.6 Automated Detection ofthe Brain Intercommissural Line from SPECT Data 453
Guimond, Alexandre; Meunier, Jean; Soucy, Jean-Paul. Univ. de Montreal, Montreal (Canada);Hop. Notre-Dame, Montreal (Canada)
XXX
Track 2.2: Magnetic Resonance Imaging
Session 2.2.1: MRI: Motion/Flow: Friday Sep 22 08:30 - 41 IB [slides]
2.2.1.1 Multiple Flip Angle MRA: Data Acquisition and Post-Processing 455
Mohamed, Feroze B.; Faro, Scott; Vinitski, Simon; Ortega, Hector V; Iwanaga, Tad. Thomas
Jefferson Univ., Philadelphia (U.S.A.); Med. College ofPennsylvania, Philadelphia (U.S.A.)
2.2.1.2 The Motion Sensitivity of Magnetic Resonance Imaging: A Comparison between Fourier Transform
Imaging and Projection Reconstruction 457
Van De Walle, Rik; Voet, T; Lemahieu, Ignace. Univ. ofGent, Gent (Belgium)
2.2.1.3 A New Approach to Dynamic Magnetic Resonance Imaging by Object Modeling 459
Jiang, Hong; Liang, Zhi-Pei; Lauterbur, Paul C. Univ. ofIllinois, Urbana (U.S.A.)
2.2.1.4 Cuore: A Graphical User Interface to Analyze Heart Wall Motion in MR Bioimages 461
Cerasoli, Alessandro; Marcenaro, Giampiero; Scapparone, Francesco. BiotekS.R.L„ Genova (Italy)
2.2.1.5 3D Motion Analysis ofMR Imaging Using Optical Flow Method 463
Huang, Siaw-Hwa; Wang, Shu-Tzu; Chen, Jyh-Horng. National Taiwan Univ., Taipei (Taiwan)
2.2.1.6 Automatic Quantitative Analysis of Mitral and Tricuspid Regurgitations by Cine MRI with Mathematical
Morphological Image Segmentation 465
Zheng, Shaowen. Hortmann Med. System, Niirtingen (Germany)
Session 2.2.2: MRI: RF and Gradient: Friday Sep 22 10:30 - 411B [slides]
2.2.2.1 Currents in the Human Body Induced by Time-Varying Magnetic Fields in MRI-FE Simulation 467
Wach, Paul; Simunic, D.; Renhart, W.; Stollberger, R. Graz Univ. ofTechnology, Graz (Austria);Inst, for Fundamentals and Theory in Elec. Eng., Graz (Austria); Univ. ofGraz, Graz (Austria)
2.2.2.2 Relation between Noise Correlation and Transmission Coefficient of Surface Coils for MagneticResonance Imaging 469
Wang, Jianmin. Siemens AG, Erlangen (Germany)
2.2.2.3 Image Nonuniformity Correction in High Field (1.5T) MRI 471
Mohamed, Feroze B.; Vinitski, Simon; Gonzalez, Carlos; Faro, Scott; Burnett, Claudia; Ortega,Hector V; Iwanaga, Tad. Thomas Jefferson Univ., Philadelphia (U.S.A.); Med. College ofPennsylvania,
Philadelphia (U.S.A.)
2.2.2A A 16 Channel Time-Multiplexed Head Coil Array for Functional MR Imaging 473
Wright, Steven M.; Porter, Jay R.; Reykowski, Arne; Finkenstaedt, Michael; Naul, L. Gill. Texas
A&M Univ., College Station (U.S.A.); Scott and White Hosp. and Clinic, Temple (U.S.A.)
2.2.2.5 Electric Fields Induced in a Human Heart by MRI Gradient Coils: A Finite Element Study 475
Wang, Weiping; Hong, Victor; Rohan, Michael; Eisenberg, Solomon R. Boston Univ., Boston
(U.S.A.); AdvancedNMR Systems, Inc., Wilmington (U.S.A.)
Session 2.2.3: MRI: Miscellanea: Friday Sep 22 14:00 - 407 BC [posters]
2.2.3.1 DMUSIC Algorithm for 2D NMR Signals 477
Li, Ye; Razavilar, Javad; Liu, K.J. Ray. Univ. ofMaryland, College Park (U.S.A.)
2.2.3.2 Automatic Muscle/Fat Quantification on MR Images 479
Colin, Arnaud; Erbland, E; Datin, C; Boire.JY.; Veyre, A.; Zanca, M. ERIM-INSERM,
Clermont-Ferrand (France); MIR-CMN-CMC, Montpellier (France)
2.2.3.3 3D Segmentation in MRI ofBrain Tumors: Preliminary Results 481
Vinitski, Simon; Gonzalez, Carlos; Burnett, Claudia; Buchheit, William; Mohamed, Feroze B.;
Ortega, Hector V; Faro, Scott. Thomas Jefferson Univ., Philadelphia (U.S.A.); Med. College of
Pennsylvania, Philadelphia (U.S.A.)
2.23 A The Optimization ofMagnetic Resonance Temperature Imaging Sequences 483
Ho, Pin-Hen; Chen, Jyh-Horng. National Taiwan Univ., Taipei (Taiwan)
2.2.3.5 Evaluation ofFunctional MR Imaging (fMRI) Analysis Method 485
Yang, Jung-Rung; Chiu, Ming-Jang; Huang, G.M.; Chen, Jyh-Horng. National Taiwan Univ.,
Taipei (Taiwan)
2.2.3.6 Maps for Visualization and Analysis of Perfusion 487
Pearlman, Justin D.; Chuang, MichealL.; Dewagan, Navin. BethIsraelHosp., Boston (U.S.A.);Boston Univ., Boston (U.S.A.)
xxxi
2.2.3.7 Registration ofMR Images: From 2D to 3D, Using a Projection Based Cross Correlation Method 489
Didon, Jean Philippe; Langevin, Frangois. Univ. de Technologie de Compiegne, Compiegne (France)
2.2.3.8 Accurate Segmentation of 3-D Magnetic Resonance Images of the Head Using a Directional
Watershed Transform 491
Warscotte, Vincent; Macq, Benoit; Thiran, Jean-Philippe; Michel, Christian. Catholic Univ. ofLouvain,Louvain-La-Neuve (Belgium)
2.2.3.9 Parametric Estimation ofNMR Spectroscopy Using Matrix Pencil 493
Razavilar, Javad; Li, Ye; Liu, K.J. Ray. Univ. ofMaryland, College Park (U.S.A.)
Track 2.3: Microscopic Imaging
Session 2.3.1: Microscopy I: Friday Sep 22 16:30 - 411B [slides]
2.3.1.1 Multiple Spectral Image Decomposition for Stain Analysis in Multiply Labeled Slides 495
Zhou, Ruixia; Hammond, Elizabeth H; Parker, Dennis L. LDSHosp., Salt Lake City (U.S.A.);Univ. ofUtah, Salt Lake City (U.S.A.)
2.3.1.2 An Efficient Method for Automated Segmentation ofHistochemically Stained Slides 497
Gaddipati, Ajeetkumar; Cornhill, J. Frederick; Herderick, EdwardE.; Yagel, Roni. Ohio State
Univ., Columbus (U.S.A.)
2.3.1.3 Region ofInterest Finding in Reduced Resolution Colour Imagery - Application to Cancer Cell
Detection in Cell Overlaps and Clusters 499
Poulsen, RonaldS.; Pedron, Ilario. McGill Univ., Montrial (Canada)
2.3.1.4 Quantitative Imaging for Clinicopathological Correlates in Alzheimer Disease 501
Bartoo, Grace T; Kim, Yongmin; Chang, Dooyong. Univ. of Washington, Seattle (U.S.A.)
2.3.1.5 Optical Sectioning Microscopy and Bioimage-Oriented Interfaces for 2D/3D and Time-Variant
Characterization of Biostructures 503
Beltrame, Francesco; Diaspro, Alberto; Fato, Marco; Ramoino, Paola; Sobel, Irwin.
Univ. di Genova, Genova (Italy); Hewlett PackardLaboratories, Palo Alto (U.S.A.)
2.3.1.6 Volumetric Image Distortion Due to Refractive Index Mismatch in 3D Confocal ScanningLaser Microscopy 505
Doukoglou, Tilemachos D.; Hunter, Ian W. McGill Univ., Montreal (Canada); M.I.T., Cambridge (U.S.A.)
Session 2.3.2: Microscopy II: Friday Sep 22 14:00 - 407 BC [posters]
2.3.2.10 Integrated Optical-Electronic System for Microscopic Manipulation in Cytology 507
Hause, Laurence; Jeutter, Dean C; Mercier, Carljon. Diagnostic Visions, Waukesha (U.S.A.);
Marquette Univ., Milwaukee (U.S.A.)
2.3.2.11 Interactive Edge Detection and Tracing in Cellular Nuclei Images Using B-Splines and Neural Network 509
Barrios, Victor, Reigosa, Aldo; Montilla, Guillermo; Hernandez, Lilia; Torres, Jose; Bonsjak,Antonio. Univ. de Carabobo, Valencia (Venezuela)
2.3.2.12 Application ofthe Principal Components Transform to Colposcopic Color Images 511
de Leon, Alejandro Guzman; Lerallut, Jean-Frangois; Boulanger, Jean-Charles. Univ. de Technologiede Compiegne, Compiegne (France); Ctr. Regional de Grossesses a Haut-Risque, Amiens (France)
2.3.2.13 Image Technique for Wound Assessment 513
McQuiston, Barbara K; Whitestone, Jennifer J; Stytz, Martin R; Bishop, John; Henderson,Richard. Sytronics Inc., Dayton (U.S.A.); Wright-Patterson AFB (U.S.A.)
2.3.2.14 Fluorescence Imaging Using Transport-Theory-Based Imaging Operators 515
Chang, Jenghwa; Graber, Harry; Aronson, Raphael; Barbour, Randall L. SUNY Health Science
Ctr., Brooklyn (U.S.A.); BioimagimgSciences Corporation (U.S.A.)
Track 2.4: SPECT, Mammography and Other Modalities
Session 2.4.1: PET and SPECT: Wednesday Sep 20 14:00 - 407 BC [posters]
2.4.1.7 MAP Transmission Image Reconstruction via Mean Field Annealing for Segmented Attenuation
Correction ofPET Imaging 517
Wang, CliffX.; Snyder, Wesley E. North Carolina State Univ., Raleigh (U.S.A.); Bowman GraySch. ofMed, Winston-Salem (U.S.A.)
xxxii
2.4.1.8 Synergetic Relaxation Labelling Algorithm for Segmentation of SPECT Images Using a Connective Model ..519
Peter, Jorg; Freyer, Richard. Dresden Univ. ofTechnology, Dresden (Germany)
2.4.1.9 On the Simultaneous Fitting for Tracer Delay and Dispersion in Cerebral Blood Flow Studies UsingOxygen-15 Water and PET 521
Toussaint, Paule-Joanne; Meyer, E. Montreal Neurological Inst, Montreal (Canada); McGill
Univ., Montreal (Canada)
2.4.1.10 A Scanner Specific Sinogram Model for PET Image Reconstruction 523
Ma, Yilong; Evans, Alan C. Montreal NeurologicalInst, Montrial (Canada); McGill Univ.,
Montreal (Canada)
2.4.1.11 A High Resolution PET Scanner Based on Avalanche Photodiode Detectors for Animal Studies 525
Lecomte, Roger; Cadorette, J.; Rodrigue, S.; Bentourkia, M.; Rouleau, D.; Yao, Rutao; Msaki, P.
Univ. de Sherbrooke, Sherbrooke (Canada)
2.4.1.12 Assessment of Errors due to Changing Activity during Kinetic SPECT Acquisition 527
Tan, Karen; Hutton, B.F.; Feng, DaganD. Univ. ofSydney, Sydney (Australia); WestmeadHosp.,Sydney (Australia)
2.4.1.13 Comparison between Cross-Correlation and Optical Flow Methods for Patient Motion Detection in SPECT.. 529
Noumeir, Rita; Mailloux, Guy E.; Lemieux, Raymond. Univ. du Quebec, Montrial (Canada);Hop. du Sacre-Coeur, Montrial (Canada)
2.4.1.14 Reduction ofVariance in Multispectral PET Data by Energy Space Filtering 531
Yao, Rutao; Msaki, P.; Cadorette, J; Bentourkia, M.; Lecomte, Roger. Univ. de Sherbrooke,Sherbrooke (Canada)
Session 2.4.2: Mammography: Saturday Sep 23 08:30 - 411B [slides]
2.4.2.1 Detection of Clusters of Microcalcifications Using Neural Network-Based Schemes 533
Azimi-Sadjadi, M.R.; Ydnez-Sudrez, Oscar; Newman, F.; Zeligman, B. Colorado State Univ., Fort
Collins (U.S.A.); Univ. ofColorado, Denver (U.S.A.)
2.4.2.2 Radial-Basis-Function Based Classification of Mammographic Microcalcifications Using Texture Features.. 535
Dhawan, Atam P.; Chitre, Yateen S.; Bonasso, Christine; Wheeler, Kevin. Univ. ofCincinnati,
Cincinnati (U.S.A.)
2.4.2.3 Classification of Breast Lesions Based on Quantitative Measures of Tumor Morphology 537
Pohlman, ScottK.; Powell, KimerlyA.; Obuchowski, Nancy; Chilcote, William;
Grundfest-Broniatowski, Sharon. Ohio State Univ., Dublin (U.S.A.); Cleveland Clinic
Foundation, Cleveland (U.S.A.)
2.4.2.4 UCSF/LLNL High Resolution Digital Mammogram Library 539
Ashby, A. Elaine; Hernandez, Jose M.; Logan, Clint M.; Mascio, Laura N.; Frankel, Steven;
Kegelmeyer, W. Philip (Jr.). Univ. ofCalifornia, Livermore (U.S.A.); Univ. ofCalifornia, San
Francisco (U.S.A.); Sandia National Laboratories, Livermore (U.S.A.)
2.4.2.5 Non-Contact Imaging of Skin Thermal Inertia by Successive Thermographic Measurements 541
Huang, Jian; Ishiwada, Takeshi; Saito, Hirokazu; Togawa, Tatsuo. Tokyo Med. & Dental Univ.,
Tokyo (Japan); Waseda Univ., Tokyo (Japan)
2.4.2.6 Sharpening Enhancement of Digitized Mammograms with Complex Symmetric Daubechies Wavelets 543
Gagnon, Langis; Lina, J.M.; Goulard, B. Univ. de Montreal, Montrial (Canada)
Session 2.4.3: X-Ray Imaging: Saturday Sep 23 10:30 - 411B [slides]
2.4.3.1 Moire Patterns from Plain Radiographs of Trabecular Bone 545
Siffert, RobertS.; Luo, Gangming; Kaufman, Jonathan J. Mount Sinai Med. Sch., New York
(U.S.A.); Cyberlogic Inc., New York (U.S.A.)
2.4.3.2 The Deformity Plane Determination and Shape Approximation ofLong Bones from Bi-Planar
Radiographic 547
Lin, Hong; Birch, John G; Samchukov, Mikhail L. Texas Scottish Rite Hosp. for Children, Dallas (U.S.A.)
2.4.3.3 Digital Imaging System Using Intensity Array 549
Cui, Ying. Univ. ofBritish Columbia, Vancouver (Canada)
2.4.3.4 Adaptive Movable Window Enhancement in Digital Chest Radiography 551
Cao, Xinhua; Jiang, Dazong; Zheng, Chongxun. Xi'an Jiaotong Univ., Xi'an (P.R. China)
xxxiii
2.4.3.5 X-Ray Imaging Technique for In Vitro Tissue Composition Measurements Using Saline/Iodine
Displacement 553
Moreau, Michel; Holdsworth, David W.; Dunmore-Buyze, Joy; Fenster, Aaron. Robarts Research
Inst., London (Canada)
2.4.3.6 A Stochastic Convolution that Describes Both Image Blur and Image Noise Using Linear-Systems Theory ... 555
Cunningham, Ian A.; Westmore, Michael S.; Fenster, Aaron. Robarts Research Inst, London (Canada)
Track 2.5: CT and 3D Imaging
Session 2.5.1: Impedance Tomography: Saturday Sep 23 14:00 - 407 BC [posters]
2.5.1.1 Imaging of Pulmonary Edema with Electrical Impedance Tomography 557
Adler, Andy; Berthiaume, Yves; Guardo, Robert;Amyot, Robert. Ecole Polytechnique, Montrial
(Canada); Hop. Hotel-Dieu de Montrial, Montreal (Canada)
2.5.1.2 Utility of an Esophageal Reference Electrode for Thoracic Electrical Impedance Tomography 559
Schuessler, ThomasF.; Bates, Jason H.T. McGill Univ., Montreal (Canada)
2.5.1.3 Reconstruction Algorithm for Electrical Impedance Tomography Based on the Linear Approximation
Method 561
Patino, NorbertoM.; Valentinuzzi, Max E. INSIBIO-CONICET& FACET-UNT, Tucumdn
(Argentina)
2.5.1.4 Electrical Impedance Tomography: Characterization of In-Vitro Performance 563
Trudelle, Stephane; Adler, Andy, Guardo, Robert. Ecole Polytechnique, Montreal (Canada)
2.5.1.5 Incorporating A-Priori Information in EIT 565
Eyuboglu, B. Murat; Baysal, Ugur. Hacettepe Univ., Beytepe (Turkey)
2.5.1.6 Optimal Current Patterns in Impedance Imaging 567
Jain, Hemant; Isaacson, David; Edic, Peter M.; Newell, Jonathan. Rensselaer Polytechnic Inst,
Troy (U.S.A.)
2.5.1.7 Electrical Impedance Tomography: Regularized Reconstruction Using a Variance Uniformization
Constraint 569
Cohen-Bacrie, Claude; Goussard, Yves. Ecole Polytechnique, Montrial (Canada)
2.5.1.8 A Reconstruction Algorithm for Induced Current Impedance Tomography 571
Bouallouche, Amar; Freeston, IanL; Tozer, Richard C. Univ. ofSheffield, Sheffield (U.K.)
Session 2.5.2: CT: General: Thursday Sep 21 16:30 - 411B [slides]
2.5.2.1 Study on Filtered Maximum Entropy Image Restoration ofLimited Angle Diffraction Tomography 573
Hamamoto, Kazuhiko; Shiina, Tsuyoshi; Nishimura, Toshihiro. Tokai Univ., Hiratsuka (Japan);
Univ. ofTsukuba, Tsukuba (Japan); Oita Univ., Oita (Japan)
2.5.2.2 Iterative Image Reconstruction Algorithms Based on the Theory of Convex Projections 575
Mailloux, GuyE; Noumeir, Rita; Lemieux, Raymond. Hop. du Sacre-Coeur, Montreal (Canada);
Univ. du Quebec, Montrial (Canada)
2.5.2.3 Frequency Characteristic Study of Filtered-Backprojection Reconstruction and Maximum Reconstruction
for PET Images 577
Wang, CliffX; Snyder, Wesley E. North Carolina State Univ., Raleigh (U.S.A.); Bowman Gray
Sch. ofMed., Winston-Salem (U.S.A.)
2.5.2.4 Accelerating the Anti-Aliased Algebraic Reconstruction Technique (ART) by Table-Based Voxel Backward
Projection 579
Mueller, Klaus D.; Yagel, Roni; Cornhill, J. Frederick. Ohio State Univ., Columbus (U.S.A.)
2.5.2.5 A Novel Coherent-Scatter Computed Tomography System 581
Westmore, Michael S.; Fenster, Aaron; Cunningham, Ian A. Robarts Research Inst, London (Canada)
Track 2.6: Ultrasound Imaging and Therapy
Session 2.6.1: Ultrasound: Cardiac/Vascular: Saturday Sep 23 16:30 - 411B [slides]
2.6.1.1 Freehand Three-Dimensional Ultrasound Imaging ofthe Carotid Arteries 583
Sherebrin, Shi; Rankin, R.; Spence, D.; Fenster, Aaron. Robarts Research Inst, London (Canada)
xxxiv
2.6.1.2 Space-Invariant True-Velocity Flow Mapping Using Coplanar Observations 585
Kadah, Yasser; Tewflk, Ahmed H. Univ. ofMinnesota, Minneapolis (U.S.A.)
2.6.1.3 Automated System for Analysing Cardiac Ultrasound Images 587
Asztalos, Balazs; Willis, R.J.; Benye, Zoltan. Technical Univ. ofBudapest, Budapest (Hungary);Griffith Univ., Brisbane (Australia)
2.6.1.4 Detection and Reconstruction of Cavity Contours in a Single Frame 2D Echocardiography UsingPeriodic Splines Approximation on a Roughly Pre-Processed Image, and Automatic Tuningofthe Parameters ofthe Model 589
Robert, Lawrence; Canu, S.; Lerallut, Jean-Frangois; Maingourd, Y. Univ. de Compiegne, Compiegne
(France); Univ. de Technologie de Compiegne, Compiegne (France); Ctr. Hospitalier, Amiens (France)
2.6.1.5 Bayesian Contour Estimation ofthe Left Ventricle in Ultrasound Images of the Heart 591
Papadopoulos, loannis; Strintzis, Michael Gerasimos. Univ. ofThessaloniki, Thessaloniki (Greece)
Session 2.6.2: Ultrasound: Image Processing and Analysis: Saturday Sep 23 14:00 - 407 BC [posters]
2.6.2.9 Motion Estimation in Ultrasound B-mode Images Using a Maximum Likelihood Matching Criterion 593
Kokkinidis, Isaac; Strintzis, Michael Gerasimos; Maglaveras, Nicos. Univ. ofThessaloniki,Thessaloniki (Greece)
2.6.2.10 Ultrasonic Strain Reconstruction Using Matched Filtering Method 595
Fan, Yu; Bai, Jing; Li, Xing. Tsinghua Univ., Beijing (P.R. China)
2.6.2.11 Contrast Enhancement of Invasive Ultrasound Transducers Using Denoising Wavelets to Establish
Dynamic Threshold and Gain 597
Xiang, Shao Huu; Miller, A.G.; Zhang, Yuan-Ting. Chinese Univ. ofHong Kong, Shatin (Hong Kong)
2.6.2.12 Ultrasound Speckle Feature Extraction for Scattering Structure Characterization 599
Rao, Navalgund A.H.K.; Venkatraman, S.; Zhang, Y. Rochester Inst ofTechnology, Rochester (U.S.A.)
2.6.2.13 Model-Based Image Processing ofTransmitral Doppler Velocity Profiles: Automated Determination
ofE-Wave Data Set Start Point 601
Hall, Andrew F.; Kovdcs, SdndorJ. Washington Univ. Med. Ctr., St Louis (U.S.A.)
2.6.2.14 3D Reconstruction of Prostatic Malignancies: Errors Introduced When Using Discrete
Ultrasonographic Images 603
Aarnink, Rene G.; de la Rosette, J.J.M.C.H.; Debruyne, Frans M.J.; Wijkstra, H. Univ. Hosp.
Nijmegen, Nijmegen (The Netherlands)
Session 2.6.3: Ultrasound: General: Saturday Sep 23 14:00 - 407 BC [posters]
2.6.3.15 Echographic Image Processing for Reconstructing Long Bones 605
Migeon, Bruno; Marche, Pierre. Lab. Vision et Robotique, Bourges (France)
2.6.3.16 Three-Dimensional Reconstruction ofthe Arterial Wall from Intravascular Sonograms 607
Soualmi, Lahbib; Bertrand, Michel; Mongrain, Rosaire A.; Tardif Jean-Claude; Laurier, Jean.
Ecole Polytechnique, Montreal (Canada); Inst, de Cardiologie de Montreal, Montreal (Canada)
2.6.3.17 Knowledge-Based Endosonographic Images Processing 609
Pipelier, Florence; Solaiman, Basel; Roux, Christian J.; Robaszkiewicz, M. Telecom Bretagne,
Brest (France); CHU de Brest, Brest (France)
2.6.3.18 Esophageal Wall Detection Using Endosonographic Imaging Systems 611
Solaiman, Basel; Pipelier, Florence; Roux, Christian J.; Robaszkiewicz, M. Telecom Bretagne,
Brest (France); CHU de Brest, Brest (France)
2.6.3.19 Feedback Control of Temperatures during Hyperthermia Treatments with Phased-Array Ultrasound
Applicators 613
VanBaren, Philip D.; Beck, E.; Ebbini, EmadS.; Cain, Charles A. Univ. ofMichigan, Ann Arbor (U.S.A.)
2.6.3.20 Sol-Gel PZT Thick Films for Ultrasonic Imaging 615
Lukacs, Marc; Sayer, M.; Knapik, D.A.; Candela, R.; Foster, F.S. Queen's Univ., Kingston (Canada);
Univ. ofToronto, Toronto (Canada)
2.6.3.21 Adaptive Inverse Filtering with Chirp for Medical Ultrasound 617
Shyam, Venkataraman; Rao, Navalgund A.H.K Rochester Inst ofTechnology, Rochester (U.S.A.)
2.6.3.22 Quantitative Ultrasonic Interferometry Applicable to Differential Transit Time Flow Measurement;
Preliminary Report 619
Franklin, Dean; Caldwell, W. Morton; Erdal, Thomas. Univ. ofMissouri, Columbia (U.S.A.)
xxxv
2 6 3 23 In Vitro Sheep Fetal Lung Acoustic Scatterer Size Characterization 621
Hakim, Souheil, Watkin, Kenneth L McGill Umv, Montrial (Canada)
2 6 3 24 Matching Layer Optimization between Ultrasound Transducer and Human Tissues 623
Xiang, Shao Huu, Zhang, Yuan-Ting Chinese Umv ofHong Kong, Shatin (Hong Kong)
2 6 3 25 Quantification ofVessel Stenosis Using Three-Dimensional Power Doppler Imaging 625
Guo, Zhenyu, Fenster, Aaron Robarts Research Inst, London (Canada)
2 6 3 26 Waveform and Beamform Design for Doppler Ultrasound Vector Flow Mapping 627
Kadah, Yasser, Tewfik, Ahmed H Umv ofMinnesota, Minneapolis (U SA )
2 6 3 27 Quantitative Strain Imaging and Elasticity Reconstruction 629
Kallel, Faouzi Bertrand, Michel Ecole Polytechnique, Montreal (Canada)
THEME 3: CLINICAL ENGINEERING/MEDICAL INFORMATICS
Track 3.1: Clinical EngineeringSession 3.1.1: Physiological Monitoring and Treatment: Wednesday Sep 20 16:30 - 41OA [slides]
3 111 Treating Mouse and Rat Tumors with Direct Current 631
Chou, Chung-Kwang McDougall, JA , Ahn, C Vora, N City ofHope National Med Ctr, Duarte (USA)
3 1.1 2 Experiment and Application of Electrochemical Treatment for Cancer with Electric Pulses 633
Zhu, Fansan, Tan, Su, Lin Jarui, Gao, Xiaohai, Zhou, Yuh Huazhong Umv ofScience & Technology,Wuhan (PR China)
3 113 Autoregulation of the Cerebral Blood Flow in Preterm Infants 635
Tehrani, Fleur T California State Umv, Fullerton (USA)
3 1.1 4 Autonomic Thermoregulatory Responses ofFebrile Monkeys during Microwave Exposure 637
Adair, Eleanor R,Adams, Barbara W, Kelleher, Sharon A John B Pierce Lab & Yale Umv,
New Haven (USA), John B Pierce Lab,Inc
,New Haven (USA)
3 1.15 Circadian Blood Pressure Variability in Healthy Human Pregnancy, Comparison with Gestational
Hypertension 639
Ayala, D E, Hermida, R C, Mojon, A , Iglesias, M Umv de Vigo, Vigo (Spain), Umv de
Santiago de Compostela, Santiago de Compostela (Spain)
3 1 1.6 Monitoring of Peripheral Edema Using Electrical Bioimpedance Measurements 641
Abboud, Marwan, Guardo Robert, Martineau, R, Taillefer, J, Pelletier, Claude H Inst de
Cardiologie de Montrial, Montrial (Canada), Ecole Polytechnique, Montrial (Canada)
Session 3.1.2: Tissue Interactions: Thursday Sep 21 08:30 - 410A [slides]
3 12 1 Characterization ofTissue Interaction by Analysis ofElectrosurgical Smoke 642
Wurzer, Helmut, Lademann, Jurgen, Weigmann, Hans-Jurgen, Mackel, Rainer, Liefi,Hans-Dieter Umv der Bundeswehr Munchen, Munchen (Germany), Humboldt-Umv zu Berlin,Berlin (Germany)
3 12 2 Methods for the Reduction ofthe Production ofToxic and Carcinogenic Substances m the Laser Plume
during Cutting and Evaporation ofTissue 645
Lademann, Jurgen, Weigmann, Hans-Jurgen, Meffert, Hans Sterry, Wolfram, Liefi, Hans-Dieter,
Albrecht Hansjorg Muller, Gerhard Umv der Bundeswehr Munchen, Munchen (Germany),Humboldt-Umv zu Berlin, Berlin (Germany), Laser-Medizm-Zentrum gGmbH, Berlin (Germany)
3 12 3 Skin Burn Risks Using Transcutaneous Direct Current 647
Lambert Hendrik, De Baetseher, E, Vanalme, G, De Mey, G Umv ofGent, Gent (Belgium)
3 124 Establishing Predictive Indicators of Soft Tissue Status 649
Gigg, Sarah L,Bader D L Queen Mary & Westfleld College, London (UK)
3 125 Evaluations of a Commercial Impedance Spectroscopy Instrument Inaccuracies and Their Corrections 651
Patterson, Robert P Latterell, Todd Umv ofMinnesota, Minneapolis (US A )
Session 3.1.3: Planning and Management: Thursday Sep 21 10:30 - 410C [slides]
3 131 Assimilation ofBiomedical Engineering into Environmental Services at University Hospital 653
Campbell, Gordon J Umv Hosp London (Canada)
xxxvi
3.1.3.2 A Fee-for-Service Model for Clinical Engineering Services: Our Implementation Experience 655
Boetzkes, Gus; Olmstead, Dean. Univ. ofAlberta, Edmonton (Canada)
3.1.3.3 Moving Beyond Maintenance Insurance: Increasing Savings with a Self-Managed Program 657
Gentles, William M.; Pan, Alice. Sunnybrook Health Science Ctr., Toronto (Canada)
3.1.3.4 General Capital Equipment Selection Process 659
Campbell, Gordon J. Univ. Hosp., London (Canada)
3.1.3.5 A Practical Biomedical Engineering Planning and Decision Making Model 661
Ramirez, Mario R. Izaak Walton Killam Children's Hosp., Halifax (Canada)
Session 3.1.4: Medical Devices: Friday Sep 22 14:00 - 407 BC [posters]
3.1.4.1 Non-Invasive Monitoring ofUltrasound Phased Array Hyperthermia and Surgery Treatments 663
Seip, Ralf; Ebbini, EmadS. Univ. ofMichigan, Ann Arbor (U.S.A.)
3.1.4.2 One Solution to Transporting the Transport Incubator 665
Switzer, Marvin. Queen's Univ., Kingston (Canada)
3.1.4.3 Modification ofthe Design of the Invasive Lithotripter Sheath for Effective Urinary Calculi Disintegration ..667
Nasr, MohammedE. Hugh Macmillan Rehabilitation Ctr., Toronto (Canada)
3.1.4.4 An Air Embolism Protection System for Extracorporeal Circuits Using Centrifugal Pumps 669
Kresta, Petr; Campbell, D.; Gonzalez, R.; Dodd, W.; Cafazzo, J.A.; Noble, L. Toronto Hosp.,
Toronto (Canada)
3.1.4.5 Centrifugal Pumps May Have Lower Hemolysis Rates than Roller Pumps at Low Flow 671
Moon, Yuko S.; Ohtsubo, Satoshi; Gomez, Micheal R.; Moon, Jon K; Nose, Yukihiko. Baylor
College ofMed., Houston (U.S.A.)
3.1.4.6 Validating the Integrity of One-Way Check Valves for the Delivery of Contrast Solution
to Multiple Patients 673
Gretzinger, David T.; Cafazzo, J.A.; Ratner, Jeff; Easty, Anthony C; Conly, J.M. Univ. of
Toronto, Toronto (Canada); Toronto Hosp., Toronto (Canada)
3.1.4.7 Power Quality for Medical Electronics - Taking Charge of the Electrical Environment 675
Leger, Joseph V; Scott, Lyn. On Power Systems Inc., Brossard (Canada)
3.1.4.8 Field Medical Laser System 677
Allen, MichaelS.; Gaddis, Mark; Garber, Dan; Webb, Doug; Kelly, John; Colvard, Michael.
KirtlandAFB, Albuquerque (U.S.A.); Schaumberg (U.S.A.)
3.1.4.9 Study ofCatheter Design for Infusion Procedures Using Numerical Simulations 679
Mongrain, Rosaire A.; Bertrand, Michel; Kandarpa, Krishna. Inst, de Cardiologie de Montreal,
Montreal (Canada); Ecole Polytechnique, Montreal (Canada); Harvard Med. Sch., Boston (U.S.A.)
3.1.4.10 Controlled Reduction of Intussusceptions: A Case Study in Effective Medical Device Technology 681
Smith, John M.; Alton, Douglas J.; Coutlee, John. Hosp. for Sick Children, Toronto (Canada)
3.1.4.11 The Electromagnetic Environment due to Portable Sources in a Typical Hospital Room 683
Vlach, Philip T; Liu-Hinz, C; Segal, Bernard N.; Skulic, B.; Pavldsek, Tomas. McGill Univ.,
Montreal (Canada)
3.1.4.12 Comparison ofPhonocardiography Monitoring Locations 685
Rice, Murray L; Doyle, D. John. Toronto Hosp., Toronto (Canada); Univ. ofToronto, Toronto (Canada)
3.1.4.13 Monitoring of Breathing Tube Position and Patency In Situ Using Reflected Sound 687
Mansfield, Jeffrey P.; Wodicka, George R. Purdue Univ., West Lafayette (U.S.A.)
3.1.4.14 Evaluation ofBed Rest, Using a Bed Temperature Monitor, after Acute Myocardial Infarction 689
Nakajima, Kazuki; Tamura, Toshiyo; Lu, L; Miike, H; Kasaoka, S.; Nakashima, K.; Maekawa,
T; Togawa, Tatsuo. Yamaguchi Univ., Ube (Japan); Tokyo Med. & Dental Univ., Tokyo (Japan)
3.1.4.15 The Application of Signal Averaging to the NIBP Oscillometric Waveform 691
Taylor, Lee A.; Bennett, Ronald G; Dorsett, ThomasJ. Protocol Systems Inc., Beaverton (U.S.A.)
3.1.4.16 An Automatic Shielding-Block Cutter for Radiotherapy 693
Coles, John R.; Kenny, Michael; Todd, Stephen. Peter MacCallum Cancer Inst, Melbourne
(Australia)
3.1.4.17 Evaluation of the Delivered Temperature ofPrewarmed Irrigation Saline 695
Campbell, EarlA.D.; Magi, Enzio; Malkinson, Terrance John. Univ. ofCalgary, Calgary (Canada)
xxxvn
Session 3.1.5: Knowledge-Based Systems: Friday Sep 22 10:30 - 410B [slides]
3.1.5.1 Knowledge-Based Support in Study Design of Scientific Urological Research 697
d'Hollosy, Wendy; Witjes, WimP.J.; Mars, Nicolaas J.I.; de Vries Robbe, PieterF.; Debruyne,Frans M.J.; Wijkstra, H. Univ. Hosp. Nijmegen, Nijmegen (The Netherlands); Univ. ofTwente,Enschede (The Netherlands); Univ. ofNijmegen, Nijmegen (The Netherlands)
3.1.5.2 Research on Gastric Multiparameter Expert System 699
Lin, Xuemei; Lin, Jarui; Xu, Bangquan; Li, Bin; Ye, Zhuang. Huazhong Univ. ofScience &
Technology, Wuhan (P.R. China)
3.1.5.3 Diagnosis and Management ofPacemaker-Related Problems Using an Interactive Expert System 701
Bernstein, Alan D.; Chiang, Chih-ming J.; Parsonnet, Victor. Newark Beth Israel Med. Ctr.,
Newark (U.S.A.); Telectronics Pacing Systems, Englewood (U.S.A.)
3.1.5.4 AI-Based Classification of Single-Trial EEG Data 703
Ivanovo, Irena; Pfurtscheller, Gert; Andrew, Colin M. Inst, for Information Technologies, Sofiya
(Bulgaria); Graz Univ. of Technology, Graz (Austria)
3.1.5.5 Computer-Based System for Early Diagnosis of Gestational Hypertension and Preeclampsia 705
Mojon, Artemio; Hermida, Ramon C; Ayala, Diana E.; Fernandez, Jose R; Iglesias, M. Univ. de
Vigo, Vigo (Spain); Univ. de Santiago de Compostela, Santiago de Compostela (Spain)
3.1.5.6 An Intelligent System for Biosignal Processing Circuit Design 707
Cheng, Kuo-sheng; Tsai, C.-T. National Cheng Kung Univ., Taipei (Taiwan); National ChengKung Univ., Tainan (Taiwan)
Track 3.2: Technology Assessment
Session 3.2.1: Technology Assessment: Friday Sep 22 16:30 - 41OA [slides]
3.2.1.1 How Does Technology Assessment Differ among Countries: A Discussion ofThree Countries
with Different Styles ofTechnology Assessment 709
Goodman, GeraldR. Texas Children's Hosp., Houston (U.S.A.)
3.2.1.2 Biomedical Engineering's Role in Hospital Health Technology Assessment 711
Elder, Sieve; Corrin, N. Victoria Hosp. Corp., London (Canada)
3.2.1.3 Future of New Medical Technology in the Present Health Care System 713
Saha, Subrata; Saha, Pamela. Loma Linda Univ. Med. Ctr., Loma Linda (U.S.A.); St. Bernardine
Med. Ctr., San Bernardino (U.S.A.)
3.2.1.4 Causes and Prevention ofRehabilitation Technology Prescription Failure 715
Brown, Ralph; Zimmermann, Kuno P.; Monga, Trilok. Baylor College ofMed., Houston (U.S.A.)
3.2.1.5 A Technology Assessment ofTENS 717
Corabian, Paula; Menon, Devidas; Reeve, Janis. Univ. ofAlberta, Edmonton (Canada);
Canadian Coordinating Officefor Health TechnologyAssessment, Ottawa (Canada)r
Track 3.3: Critical Care Monitoring
Session 3.3.1: Critical Care Monitoring I: Anesthesia and Respiration: Saturday Sep 23 14:00 - 407 BC
[posters]
3.3.1.1 A System for Tracking the Depth of Anaesthesia 719
Gansler, Tomas; Hansson, Maria; Salomonsson, Gdran. Lund Univ., Lund (Sweden)
3.3.1.2 Clinical Staging ofChronic Rejection in Lung Transplantation Using Home Spirometry 721
Finkelstein, Stanley M.; Hertz, M.I.; Dutta, P.; Chlan, L; Wielinski, C; Lindgren, B.; Warwick
W.J.; Snyder, M. Univ. ofMinnesota, Minneapolis (U.S.A.)
3.3.1.3 Anaesthesiological Heart Rate Monitor 723
Kalakutsky, Lev Ivanovich; Kuraev, Grigory A.; Manelis, Emmanuel. Samara State Aerospace
Univ., Samara (Russia); Rostov State Univ., Rostov (Russia)
3.3.1.4 Prediction of Oxygen Consumption Rates from Heart Interval Mean and Variance 725
Moon, Jon K. Baylor College ofMed., Houston (U.S.A.)
XXXVIII
3.3.1.5 An Intelligent Airway Sensor System to Increase Safety in Computer Controlled Mechanical Ventilation ....727
Stegmaier, Peter A.; Brunner, J.X.; Zollinger, A. Swiss Federal Inst ofTechnology, Zurich
(Switzerland); Hamilton Bonaduz AG, Bonaduz (Switzerland); Univ. Hosp. Zurich, Zurich (Switzerland)
3.3.1.6 A Genetic-Based Controller for Automatic Control of Induced Paralysis 729
Behbehani, Khosrow; Mokhtar, Jeffrey; Klein, Kevin W. Univ. ofTexas, Arlington (U.S.A.);Univ. ofTexas Southwestern Med. Ctr., Dallas (U.S.A.)
3.3.1.7 A Ventilator Workstation for Simultaneous Recording of Lung Function Indices and Airway Signals 731
Stegmaier, Peter A.; Zollinger, A. Swiss Federal Inst, of Technology, Zurich (Switzerland);Univ. Hosp. Zurich, Zurich (Switzerland)
Session 3.3.2: Critical Care Monitoring II: Cardiac: Saturday Sep 23 14:00 - 407 BC [posters]
3.3.2.8 ECG Processing System to Integrate Data to Aid in Secondary Prevention Involving Post-Infarction
Risk Patients 733
Pulido, Nicanor; Pascual, M.; Mdrquez-Montes, J.; Gonzalez, M.A.; Salvador, Carlos H. Insalud
- Clinica Puerto de Hierro, Madrid (Spain)
3.3.2.9 Multi-Channel Activity Correlation Analysis - A Method to Detect Ischemic Changes of the EEG 735
Czinege, Ldszlo; Urbanics, Rudolf; Farkas, Zsolt. Technical Univ. ofBudapest, Budapest
(Hungary); Semmelweiss Med. Univ., Budapest (Hungary)
3.3.2.10 Arrhythmia Diagnosis System: Validation Methodology 737
Giraldo, Beatriz F.; Binia, M.; Marrugat, J.; Caminal, P. Inst, de Cibernetica, Barcelona
(Spain); Hosp. del Mar, Barcelona (Spain)
3.3.2.11 Rule-Based Multiple Mode Control of Hemodynamic States in Patients with Congestive Heart Failure 739
Held, Claudio, M.; Omura, Alexander; Nayak, Abinash; Roy, Rob J. Rensselaer Polytechnic Inst,
Troy (U.S.A.)
3.3.2.12 3D Visualization for Evaluating a Monitoring System in an ICU 741
Abu-Shihab, Osama; Zia, V.; Al-Refaee, F.A.; Leijonhufvud, H.; Malowany, Alfred S.; Gottesman,
R,; Carnevale, F. McGill Univ., Montreal (Canada); Montreal Children's Hosp., Montreal (Canada)
Track 3.4: Medical Informatics
Session 3.4.1: Medical Informatics: Wednesday Sep 20 14:00 - 407 BC [posters]
3.4.1.1 Design ofthe Children's Health Network: A Distributed Computer System for Pediatric Primary Care 743
Bronzino, Joseph D.; Deutsch, L.; Fisk M. Trinity College, Hartford (U.S.A.); Hartford PrimaryCare Consortium, Hartford (U.S.A.)
3.4.1.2 Development of an Object-Oriented Intelligent Clinical Information Management System 745
Kalogeropoulos, Dimitri; Carson, Ewart R.; Collinson, P.O.; Cramp, D.G. City Univ., London
(U.K.); Mayday Univ. Hosp., Surrey (U.K.); City Univ., Surrey (U.K.)
3.4.1.3 PLACO: A Cooperative Architecture for Solving Coordination Problem in Health Care 747
Yousfl, F.; Bricon-Souf N.; Beuscart, R.; Geib, J.M. CERIM, Lille (France); Univ. de Lille, Lille (France)
3.4.1.4 Development of a PC Based PACS Open to ISDN and Internet for Research Purposes 749
Morr, Christo Jamil El; Lerallut, Jean-Frangois. Univ. de Technologie de Compiegne, Compiegne(France)
3.4.1.5 A Distributed Health Information Network for Consultative Services in Surgical Pathology 751
Foran, David J.; Goodell, Lauri A.; Trelstad, Robert L. Robert Wood Johnson Med. Ctr.,
Piscataway (U.S.A.); Robert WoodJohnson Univ. Hosp., New Brunswick (U.S.A.)
3.4.1.6 Interfacing Existing Medical Monitoring Equipment: A Device Driver Approach 753
van Oostrom, Johannes H.; Schwab, Wilhelm; van der A a, Jan J; Gibby, Gordon L. Univ. of
Florida, Gainesville (U.S.A.)
3.4.1.7 The Development of a Balanced Scorecard Information System 755
Gordon, Daniel; Kunov, Hans; Dolan, Alf; Carter, Michael. Univ. of Toronto, Toronto (Canada)
3.4.1.8 A Data Model for a Patient Data Management System in an Intensive Care Unit 757
Saab, Emile; Zia, V.; Abu-Shihab, Osama; Malowany, Alfreds.; Carnevale, P.; Gottesman, R.
McGill Univ., Montreal (Canada); Montreal Children's Hosp., Montreal (Canada)
3.4.1.9 Integration System Architecture: The ISAR Project 759
Beuscart, Regis; Dubois, Alain; Blassel, Nathalie; Roussel, Denis. Univ. de Lille, Lille (France);CHU de Lille, Lille (France)
XXXIX
3.4.1.10 Smart Card and Information Superhighways in Health Care Information Systems 761
Haye, Marie-Pierre; Beuscart, Rigis; Delignieres, I. CNRS - RD2P, Lille (France); Univ. de
Lille, Lille (France); Univ. de Lille I, Lille (France)
Track 3.5: Telecommunications for Health Care
Session 3.5.1: Telemedicine: Wednesday Sep 20 14:00 - 407 BC [posters]
3.5.1.11 Telemedicine: ISDN and ATM - The Future? 763
McClelland, Ian; Adamson, Kenneth; Black, N.D. Univ. ofUlster, Newtonabbey (U.K.)
3.5.1.12 A Novel Medical Image Processing and Management System - NIKA 765
Pavlopoulos, Sotiris; Dembeyiotis, S.; Konnis, G; Koutsouris, D. National Technical Univ. ofAthens, Athens (Greece)
3.5.1.13 The Implementation of Emergency Teleradiology System Using Multiple Digital Signal Processors 767
Yoo, Sun K.; Kim, Sun H.; Kim, Nam H; Park, Sung W.; Youn, Dae H. Yonsei Univ., Seoul
(South Korea)
3.5.1.14 Heterogeneous Integrated Multimedia Medical System (HIMMS) 769
McClelland, Ian; Adamson, Kenneth; Black, N.D. Univ. ofUlster, Newtonabbey (U.K.)
Track 3.6: Education, Ethics, Economics, Liability and Responsibility
Session 3.6.3: Standards of Practice and Peer Review I: Thursday Sep 21 14:00 - 410A [slides]
3.6.3.1 Development ofClinical Engineering Standards of Practice and Peer Review. A Process Overview 771
McLeod, J. Edwin (Ted); Easty, Anthony C; Gentles, William M. Univ. ofToronto, Toronto
(Canada); Toronto Hosp., Toronto (Canada); Sunnybrook Health Science Ctr., Toronto (Canada)
Session 3.6.5: Education, Training and Teaching: Friday Sep 22 08:30 - 41OA [slides]
3.6.5.1 The Clinical Engineering Program in NTUH 773
Wang, Cheng-Yi; Chen, Jih-Horn Stanley. National Taiwan Univ. Hosp., Taipei (Taiwan)
3.6.5.2 International Biomedical Engineering Exchanges 775
Somerwil, Steve; Easty, Anthony C. Toronto Hosp., Toronto (Canada)
3.6.5.3 A System Designed to Help Diabetic Patients to Take Greater Charge ofTheir Own Insulin Therapy 777
Fontaine, Pierre; Leroy, P.; Beuscart-Zephir, M.C. CHU de Lille, Lille (France); Labacolil -
UCDG, Lille (France)
3.6.5.4 A Training Simulator for Retinal Laser Photocoagulation 779
Dubois, Patrick; Rouland, J.F.; Chaillou, C; Karpf, S.; Meseure, P.; Duquenoy, F. Univ. de
Lille, Lille (France); CHU de Lille, Lille (France)
3.6.5.5 From Content to Courseware: Through a Looking Glass 781
Bencsdth-Makkai, Zsuzsanna; Funnell, W. Robert J.; De Mori, Renato; Fleiszer, DavidM.
McGill Univ., Montreal (Canada)
3.6.5.6 The World Wide Web - A Teaching Tool for Biomedical Engineering 783
Blanchard, Susan M.; Hale, S.Andrew; Clark, Bryan P.; Pool, Tamara S.; McCaslin, Jeffrey W.
North Carolina State Univ., Raleigh (U.S.A.)
THEME 4: SIGNAL PROCESSING
Track 4.1: Neural Network Applications
Session 4.1.1: Neural-Net Applications: EEG: Wednesday Sep 20 16:30 - 411C [slides]
4.1.1.1 Artificial Neural Networks Used with Bispectral Analysis for Intra-Operative EEG Monitoring 785
Watt, Richard C; Sisemore, Chris; Kanemoto, Ansel; Dakwar, Perry; Mylrea, Kenneth. Univ. ofArizona, Tucson (U.S.A.)
4.1.1.2 A Method for the Adaptive Design ofPower Spectral Parameters Using Artificial Neural Networks and Its
Application in the EEG Classification during Brain Ischemia 787
Hoyer, Dirk; Conrad, K; Wagner, H; Bauer, R; Zwiener, U Friedrich-Schiller-Univ., Jena (Germany)
xl
4.1.1.3 Neuro-Fuzzy Recognition of K-Complexes in Sleep EEG Signals 789
Pohl, Vaclav; Fahr, E. Berufsakademie Ravensburg, Tettnang (Germany)
4.1.1.4 Detection ofCharacteristic Waves of Sleep EEG by Neural Network Analysis 791
Shimada, Takamasa; Shiina, Tsuyoshi. Univ. ofTsukuba, Tsukuba (Japan)
4.1.1.5 Neural Networks for EEG Signal Decomposition and Classification 793
Vaz, Francisco; Principe, Jose Carlos. Univ. de Aveiro, Aveiro (Portugal); Univ. ofFlorida,Gainesville (U.S.A.)
4.1.1.6 On Divided Neural Network and Its Application to Source Localization in the Brain 795
Yan, Xiaopu; Sun, Mingui; Sonmez, Murat; Sclabassi, Robert J. Univ. ofPittsburgh, Pittsburgh (U.S.A.)
Session 4.1.2: Neural-Net Applications: Evoked Potentials: Thursday Sep 21 08:30 - 411C [slides]
4.1.2.1 Neural Networks for Predicting Depth ofAnesthesia from Auditory Evoked Potentials:
A Comparison ofthe Wavelet Transform with Autoregressive Modeling and Power SpectrumFeature Extraction Methods 797
Nayak, Abinash; Roy, Rob J. Rensselaer Polytechnic Inst, Troy (U.S.A.)
4.1.2.2 Classification ofEvent-Related Potential Waveforms with Parallel Principal Component Neural Networks ... 799
Sveinsson, Johannes R; Benediktsson, J.A.; Stefansson, S.B. Univ. ofIceland, Reykjavik (Iceland)
4.1.2.3 Adaptive Stimulus Artifact Cancellation in Biological Signals Using Neural Networks 801
Grieve, Richard C W.; Parker, Philip A.; Hudgins, Bernard. Univ. ofNew Brunswick,
Fredericton (Canada)
4.1.2.4 A Neural Network Based Approach to Whitening Biological Noise for Somatosensory Evoked
Potential Detection 803
Smith, Derek B.; Lovely, Dennis F. Univ. ofNew Brunswick, Fredericton (Canada)
4.1.2.5 Visual Evoked Potential Estimation by Artificial Neural Network Filter: Comparison with the Ensemble
Averaging Method 805
Fung, Kenneth S.M.; Chan, Francis H.Y.; Lam, F.K.; Boon, Paul W.F.; Liu, J.G. Univ. ofHong
Kong (Hong Kong); National Cheng Kung Univ., Tainen (Taiwan)
Session 4.1.3: Neural-Net Applications: Miscellanea: Wednesday Sep 20 14:00 - 407 BC [posters]
4.1.3.1 Probabilistic Neural Network Array Architecture for ECG Classification 807
Kramer, Christopher; McKay, Brian; Belina, John C. Cornell Univ., Ithaca (U.S.A.)
4.1.3.2 A Neural Network Reconstruction Algorithm for Intraventricular Impedance Imaging 809
Walker, Gregory W.; Kun, Stevan; Peura, Robert A. Worcester Polytechnic Inst, Worcester (U.S.A.)
4.1.3.3 Neural Network Techniques for Fine-Form Discrimination 811
Germagnoli, Fabio; Lazzari, Stefano; Magenes, Giovanni. Univ. di Pavia, Pavia (Italy)
4.1.3.4 Customization ofECG Beat Classifiers Developed Using SOM and LVQ 813
Palreddy, Surekha; Tompkins, Willis J; Hu, Yu Hen. Univ. of Wisconsin, Madison (U.S.A.)
4.1.3.5 The Classification ofthe Depth of Burn Injury Using Hybrid Neural Network 815
Zhao, SeanX.; Lu, Taiwei. Physical Optics Corporation, Torrance (U.S.A.)
4.1.3.6 Comparison ofGradient Descent and Conjugate Gradient Learning Algorithms for Classification
ofElectrogastrogram 817
Lin, Zhiyue; Maris, Jan; Hermans, Lieven; Vandewalle, Joos; Chen, Jian De Z. Univ. of Virginia,
Charlottesville (U.S.A.); Katholieke Univ. Leuven, Leuven (Belgium)
4.1.3.7 A Dynamic Feedforward Neural Network for Subset Classification ofMyoelectric Signal Patterns 819
Englehart, Kevin B.; Hudgins, Bernard; Stevenson, M.; Parker, Philip A. Univ. ofNew
Brunswick Fredericton (Canada)
4.1.3.8 A Comparison of Neural Network Architectures for the Classification ofThree Types of Infant
Cry Vocalizations 821
Petroni, Marco; Malowany, Alfreds.; Johnston, C.C.; Stevens, B.J. McGill Univ., Montreal
(Canada); Univ. ofToronto, Toronto (Canada)
4.1.3.9 Artificial Neural Networks for Estimation ofJoint Angle from EMG Signals 823
Suryanarayanan, Srikanth; Reddy, NarenderP.; Gupta, Vineet. Univ. ofAkron, Akron (U.S.A.)
4.1.3.10 Artificial Neural Networks for the Classification of Electrophoretic Patterns 825
Ruggeri, Alfredo; Danzi, Giovanni. Univ. ofPadova, Padova (Italy)
xii
4.1.3.11 The Number ofProcessing Elements in Hidden-Layer ofBack-Propagation Neural Networkfor Karyotyping 827
Cho, Jongman; Hong, SeungHong. Inje Univ., Pusan (South Korea); Inha Univ., Inchon (South Korea)
4.1.3.12 Calibration ofLow Back Load Exposure Estimation through Surface EMG Signals with the Use
of Artificial Neural Network Technology 829
Baten, Chris T.M.; Hamberg, Hendrik J; Veltink, Peter H; Hermens, Hermie J. Roessingh Research
& Development, Enschede (The Netherlands); Univ. ofTwente, Enschede (The Netherlands)
4.1.3.13 Feature Extraction by Genetic Algorithms for Neural Networks in Breast Cancer Classification 831
Kermani, Bahram G; White, Mark W.; Nagle, H. Troy. North Carolina State Univ., Raleigh (U.S.A.)
4.1.3.14 Optimization by Neural Networks Application ofMotion Estimation 833
Yacoubi, Abole Paziz; Lelaurin, L.; Devlaminck, Vincent; Dubus, J.P. Univ. des Sciences et
Technologies de Lille, Lille (France)
4.1.3.15 Image Segmentation with the Spatiotemporal Neuron and Adaptive Threshold Learning 835
Richardson, Warren A.; Kim, Soowon; Waldron, Manjula B. Ohio State Univ., Columbus (U.S.A.)
4.1.3.16 Global Motion Discrimination Using More Physiological Modified Artificial Neural Networks 837
Deligeorges, Socrates; Vaina, Lucia. Boston Univ., Boston (U.S.A.)
4.1.3.17 A New Method for Parameter Estimation in the NARMAX Model Using Neural Computation 839
Shindou, Hiroyuki; Noshiro, Makoto; Fukuoka, Yutaka; Ishikawa, Masumi; Minamitani, Haruyuki. Keio
Univ., Tokyo (Japan); Kitasato Univ., Tokyo (Japan); Tokyo Medical & Dental Univ., Tokyo (Japan);
Kyushu Inst, ofTechnology, Izuka (Japan)
4.1.3.18 Electromagnetic Inverse Scattering Using Neural Networks 841
Kaufman, Jonathan J.; Bianco, Bruno; Zhou, Ying; Chiabrera, Alessandro. Cyberlogic Inc., New
York (U.S.A.); Univ. di Genova, Genova (Italy); City Univ. ofNew York, New York (U.S.A.)
4.1.3.19 Development ofan Integrated Detector for NMR Microscopy 843
Stacker, Jeffrey E.; Peck, Timothy L; Franke, S.J; Kruse, 1; Feng, M.; Magin, RichardL. Univ.
ofIllinois, Urbana (U.S.A.)
4.1.3.20 A Comparative Study ofMethods of Processing Patient Pain Drawings for Analysis by an Artificial
Neural Network 845
Sanders, Neal W.; Mann, Noah Horace (III). Vanderbilt Univ., Nashville (U.S.A.)
4.1.3.21 The Detection of Glaucoma Using an Artificial Neural Network 847
Parfitt, Craig Michael; Mikelberg, F.S.; Swindale, N. V. Univ. of British Columbia, Vancouver (Canada)
4.1.3.22 On-Line Neuromorphic Biomedical Waveform Analysis 849
Kohen, HamidS. UCLA, Chatsworth (U.S.A.)
4.1.3.23 Application of Artificial Neural Network Approach to the Interpretation Biosignal of Diabetic Skin
Microcirculation 851
Zhang, Qingyu; Barbenel, J.C. Univ. ofStrathclyde, Glasgow (U.K.)
Author Index
VOLUME 2
Track 4.2: Signal Processing Applications
Session 4.2.1: EEG Signal Processing: Thursday Sep 21 10:30 - 411C [slides]
4.2.1.1 Adaptive Base Line Correction of EEG's Using Warped Polynomials 853
Philips, Wilfried R. Univ. Gent, Gent (Belgium)
4.2.1.2 Interpretation of Coherence Changes between EEG Signals Recorded during a Finger Movement Task 855
Andrew, Colin M.; Pfurtscheller, Gert. Graz Univ. ofTechnology, Graz (Austria)
4.2.1.3 Spatio-Temporal EEG Patterns Associated with Voluntary Motion Preparation 857
Barreto, Armando B.; Vicente, L.M.; Persad, Ivanov K. Florida International Univ., Miami (U.S.A.)
4.2.1.4 The Topographic Mapping of EEG Using the First Positive Lyapunov Exponent 859
Lin, Yue-Der; Chong, Fok-Ching; Sung, Shing-Ming; Kuo, Te-Son. National Taiwan Univ.,
Taipei (Taiwan); Taipei Municipal Jen-Ai Hosp., Taipei (Taiwan)
xiii
