EDITORIAL The rehabilitation of subjects with stroke: common ...
Editorial Advances in Rehabilitation and Assistive Robots for...
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Editorial Advances in Rehabilitation and Assistive Robots for Restoring Limb Function in Persons with Movement Disorders Fan Gao, 1 Guanglin Li, 2 Huapeng Wu, 3 Qining Wang, 4 Jie Liu, 5 and Justin Keogh 6 1 Department of Health Care Sciences, UT Southwestern Medical Center at Dallas, Dallas, TX 75390, USA 2 Research Center for Neural Engineering, e Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China 3 School of Energy Systems, Lappeenranta University of Technology, 53851 Lappeenranta, Finland 4 e Robotics Research Group, College of Engineering, Peking University, Beijing 100871, China 5 e Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL 60611, USA 6 Faculty of Health Sciences and Medicine, Bond University, Robina, QLD 4226, Australia Correspondence should be addressed to Fan Gao; [email protected] Received 3 July 2016; Accepted 3 July 2016 Copyright © 2016 Fan Gao et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. People with movement disorders are plagued with debilitat- ing conditions, which significantly degrade their quality of life. Traditional rehabilitation typically involves intensive interaction between patients and therapists. While effective, traditional rehabilitation cannot keep abreast of the increas- ing patient population primarily attributed to a higher surviv- ing rate aſter diseases and/or injuries. Furthermore, patients living in the rural areas have fairly limited access to rehabili- tation services. In the past two decades, tremendous efforts have been put into developing rehabilitation and assistive robots to facilitate the rehabilitation training while relieving the physical involvement of therapists and/or lowering the related cost. Most notably, the rehabilitation and assistive robots have been significantly advanced with developments in actuators, sensors, microprocessors, and mobile soſtware platforms. However, unlike traditional robotics, the intimate interaction between robot and human in rehabilitation robots indicates that the success is also closely related to a thorough understanding of the human neuromuscular aspects and human-machine interaction. is special issue primarily aims to gather the latest achievements in rehabilitation robots, exoskeletons, and prostheses including the following topics: (a) development of rehabilitation robots, exoskeleton, and upper/lower limb prostheses driven by bionics; (b) functional evaluation of rehabilitation robots, exoskeleton, and upper/lower limb prostheses with an emphasis on human movement biome- chanics; (c) musculoskeletal modeling and simulation of human movements while wearing exoskeleton or prostheses; (d) noninvasive human-machine interface based on elec- tromyography and/or electroencephalogram; (e) sensors for monitoring kinematics/kinetics, as well as biological signals in real time; (f) innovative actuators and control algorithms applied to rehabilitation robots, exoskeletons, and prostheses. In this special issue, collective studies address the afore- mentioned key elements via both technical and biomechan- ical approaches. A reconfigurable robotic hand exoskeleton was proposed to meet the fast growing need in hand rehabil- itation. A novel control algorithm integrating sliding model control with cerebellar model articulation controller neural network was implemented in lower limb exoskeleton to enhance the coordination between patient and exoskeleton. An upper limb exoskeleton was enhanced with integrated optical cameras to offer more accurate estimation of joint posture than traditional motion capture system. A hybrid upper limb rehabilitation system consisting of a shoulder- elbow-forearm exoskeleton and a robotic manipulator was validated and tested in the clinic. e characteristics of muscle-tendon stimulation such as perception threshold and vibration frequency significantly influenced the muscle forces as well as the reaction time. Patellar retention was found to be superior to patellar replacement in knee arthroplasty Hindawi Publishing Corporation Applied Bionics and Biomechanics Volume 2016, Article ID 3864728, 2 pages http://dx.doi.org/10.1155/2016/3864728
Transcript of Editorial Advances in Rehabilitation and Assistive Robots for...
EditorialAdvances in Rehabilitation and Assistive Robots forRestoring Limb Function in Persons with Movement Disorders
Fan Gao,1 Guanglin Li,2 Huapeng Wu,3 Qining Wang,4 Jie Liu,5 and Justin Keogh6
1Department of Health Care Sciences, UT Southwestern Medical Center at Dallas, Dallas, TX 75390, USA2Research Center for Neural Engineering, The Institute of Biomedical and Health Engineering,Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China3School of Energy Systems, Lappeenranta University of Technology, 53851 Lappeenranta, Finland4The Robotics Research Group, College of Engineering, Peking University, Beijing 100871, China5The Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL 60611, USA6Faculty of Health Sciences and Medicine, Bond University, Robina, QLD 4226, Australia
Correspondence should be addressed to Fan Gao; [email protected]
Received 3 July 2016; Accepted 3 July 2016
Copyright © 2016 Fan Gao et al.This is an open access article distributed under the Creative Commons Attribution License, whichpermits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
People with movement disorders are plagued with debilitat-ing conditions, which significantly degrade their quality oflife. Traditional rehabilitation typically involves intensiveinteraction between patients and therapists. While effective,traditional rehabilitation cannot keep abreast of the increas-ing patient population primarily attributed to a higher surviv-ing rate after diseases and/or injuries. Furthermore, patientsliving in the rural areas have fairly limited access to rehabili-tation services. In the past two decades, tremendous effortshave been put into developing rehabilitation and assistiverobots to facilitate the rehabilitation training while relievingthe physical involvement of therapists and/or lowering therelated cost. Most notably, the rehabilitation and assistiverobots have been significantly advanced with developmentsin actuators, sensors, microprocessors, and mobile softwareplatforms. However, unlike traditional robotics, the intimateinteraction between robot and human in rehabilitation robotsindicates that the success is also closely related to a thoroughunderstanding of the human neuromuscular aspects andhuman-machine interaction.
This special issue primarily aims to gather the latestachievements in rehabilitation robots, exoskeletons, andprostheses including the following topics: (a) developmentof rehabilitation robots, exoskeleton, and upper/lower limbprostheses driven by bionics; (b) functional evaluation ofrehabilitation robots, exoskeleton, and upper/lower limb
prostheses with an emphasis on human movement biome-chanics; (c) musculoskeletal modeling and simulation ofhuman movements while wearing exoskeleton or prostheses;(d) noninvasive human-machine interface based on elec-tromyography and/or electroencephalogram; (e) sensors formonitoring kinematics/kinetics, as well as biological signalsin real time; (f) innovative actuators and control algorithmsapplied to rehabilitation robots, exoskeletons, and prostheses.
In this special issue, collective studies address the afore-mentioned key elements via both technical and biomechan-ical approaches. A reconfigurable robotic hand exoskeletonwas proposed to meet the fast growing need in hand rehabil-itation. A novel control algorithm integrating sliding modelcontrol with cerebellar model articulation controller neuralnetwork was implemented in lower limb exoskeleton toenhance the coordination between patient and exoskeleton.An upper limb exoskeleton was enhanced with integratedoptical cameras to offer more accurate estimation of jointposture than traditional motion capture system. A hybridupper limb rehabilitation system consisting of a shoulder-elbow-forearm exoskeleton and a robotic manipulator wasvalidated and tested in the clinic. The characteristics ofmuscle-tendon stimulation such as perception threshold andvibration frequency significantly influenced themuscle forcesas well as the reaction time. Patellar retention was foundto be superior to patellar replacement in knee arthroplasty
Hindawi Publishing CorporationApplied Bionics and BiomechanicsVolume 2016, Article ID 3864728, 2 pageshttp://dx.doi.org/10.1155/2016/3864728
2 Applied Bionics and Biomechanics
via a comprehensive computer simulation. These collectivestudies, as part of the latest representative work, offered somenew insights into the development and implementation ofrehabilitation and assistive robots.
Fan GaoGuanglin Li
Huapeng WuQining Wang
Jie LiuJustin Keogh
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