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    P.-A. Farine (ESPLAB), J. Gutknecht (em. NSG), T. Gross (LS

    C. iero!" (#NS), $. Atien%a (ESL), $. Brian" (SA#LAB & L#

    #. 'na%ea (L*EN), G. +oh!ra ('SP)

    BPS - Bo"Poere"SenSEToward Zero Power Medical Devices

    Nano-Tera eventLausanne, April 26th, 2016

    T!"#$L$%T!%

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    Bo"Poere"SenSE - / Sensin0 Com1

    NanoTera "od&Powered'enseEEG

    PEM EC

    26(0)(2016

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    26(0)(2016

    Bo"Poere"SenSE - Pro2ect Cha!!en0o m1roe ea!th Care throu*h '+art, %onvenient earale 'ensors suc

    ECG an" PE#

    o A"ance uman Ener0 arestin0 towards a .fit and forget / and .no*oal( $ner*& arvestin* $$ 100+h, $% 0+h

    o Tar*et Ener0 31timisation an" 4sa0e (ET5 NSG6LST 7 #NS,

      EPFL ESL, SA#LAB 7 ESPL3 #pti+ised Power %onversion 4ro+ the $ner*& arvestin* $ sources to stora*e 5MN'

    3 7LTA Low ener*& A'!% 4arication in Microcontroller desi*n 5$'L

    3 'el4 #pti+isin* 8ir+ware +a9i+isin* the results:ener*& ratio 5N', L'T

    o  Appl& the technolo*& in *ea! an" $eman"in0 C!inica! 4se cases ('SP

    ensurin* 4itness 4or purpose3 $pileps& in children 5;!'P!, Al L$N

    o no!e n"ustr (BE!ement, E91!oris, PF#) in +ulti-disciplinar& !T re

    NanoTera "od&Powered'ense

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    Bo"PoerSenSE : Ener0 o1timi%ation 7 sstem "ee!o1

    NanoTera "od&Powered'ense

    EEGEC

    72mWh/24hEH100mWh/24h

    26(0)(2016

     -23% than evaluated in 2015 12.217.2 34.3 6.6

    ! ele"t#$de#edu"ti$n&' (h'i"ian#eea#"h )CH*+

     Tribo /

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    Micro and Nano '&ste+s @ $T Zurich"od& Po

    TEG - Thermoe!ectric ener0 harestin0 o; human o" heat

    Loca! ener0 harestin0 an" conersion

    3 Autonomous sensor no"es3 Bio1otentia! rea"out

    Lar0e-area harestin0 (hea")

    3 $ata 1rocessin03 +ire!ess communication

    $lectronics

    e4erence

    electrode

     A  l     p

    eat sinB

    $lectronics

    T$

    !solation

    eat trans4er 

    $lectrode

    10 ++ Thielen, et al( !%T 201) Thiele

    MN' Micro and Na

    http://var/www/apps/conversion/tmp/scratch_7/MThielen_ICT14_poster.pdfhttp://var/www/apps/conversion/tmp/scratch_7/MThielen_NanoTera_2014.pdfhttp://var/www/apps/conversion/tmp/scratch_7/MThielen_NanoTera_2014.pdfhttp://var/www/apps/conversion/tmp/scratch_7/MThielen_ICT14_poster.pdfhttp://var/www/apps/conversion/tmp/scratch_7/MThielen_ICT14_poster.pdfhttp://var/www/apps/conversion/tmp/scratch_7/MThielen_ICT14_poster.pdf

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    Micro and Nano '&ste+s @ $T Zurich

    Lar0e-area harestin0 ( at

    data processin* and co++unica

    "od& Po

    TEG *esu!ts Poer 0eneration 1ro;i!es ;or oth harester 1roto

    Loca! ener0 harestin0 an" conersion

    3 +-re0ime enales ultra-low power sensor

    nodes

    alBin*

    #utdoor 

    #44ice

    stationar&12 ++

    #44ice

    Proect *oalE

     Avera*e power 

    !nput >olta*e

    #utput power 

    $ner*&

    harvested

    %old

    start

    T

    1( Protot&pe

    2( "iopotential

    recordin*

    MN' Micro and Na

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    PDM':%NT:"aTi#%o+posite

    'tretchale old

    $lectrode

    *ea!i%ation o; 1ie%o harestin0 an"

    o #pti+i

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    Ne 1rinci1!e TrioE!ectric NanoGenerator TE

    Schematic diagram of Stretchable Triboelectric generator 

    Stretchable triboelectric generator 

    H $ner*& harvestin* ased on contact electri4ication e44ect and electrostatic inductio

    Requirements: Materials havin* opposite char*e a44init&(

    %ontact or 4riction etween +aterials(

    Conductive textile

     Nitrile

    Teflon

    Latex

    Dr( DanicB "riand, Dr( uai&at aIue

    Power densit&

    up to 00-00:+2

    JZhon*, 201K

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    areste" ener0 conersion an" re0u!ation  

    Milad Ataei, Dr. Alexis Boegli, Christian Robert, Prof. P.-A. Farine

    System partitioning: Optimized Pow

    Modeling the onverter and designing thefeedba!s:

     T

    26.4.2!6

    owe

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    ill de+onstrate T$ and 'olar ener*& harvestin*

    Modelin* and Prediction o4 ener*& harvestin*

    $$ recordin* and sei

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    EEG en$#3 ' SO(') " TEG powered * +ryode $ sensor,

    3  The aim is to apt-re and proess. $ve# l$nam&ulat$#' (e#i$d0 aspets of the EEG for the linialases of @ Childhood epilepsy spei1ally SP23E +E4S2T5 Meas-rement and

     @ Mild Cognitive +eline MC+0 in Elderly people ,

    3 SP23E +ensity meas-rement algorithms for hildren arebeing developed in M'T('6 based on two approahes 7.8

    3  These algorithms will r-n on the wearable sensor and thedensity meas-res downloaded to a SM')T phone at theend of a long reording period e,g, 79 ho-rs0

    3 6arzegaran and 3nyazeva C#;0 have made progress to-se low density EEG for MC+,

    3 P 6 ele"t#$de en$# will proess and reord 'lphawave EEG at 1ne resol-tion to determine if the sensor anO;E) (O4G PE)2O+S with (O on SO(') ins-nshine b-t falls ba! to appro? 9@> indoors f-rtherwor! reA-ired to inrease system eBieny,

    Steps in the Spi!e detetionproessEEG from 3inderspital

     Twinto bomele

    P 6ele"t#$deEEG en$#

    4ativ32SP2

    Prof, Thomas Gross. +r, +ennis MaDoe. 2vana #n!ovi. Stephan 3oster.ET 4SG/(ST

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    Pe#$nal Envi#$nment M$nit$# - PEM

    3  The PEM is a SO(') powered sensor for monitoring theenvironment onte?t thro-gh aelerometery. amera anda-dio data,

    3  The aim is to be able to apt-re the solit-de. atmosphere andomple?ity of the world aro-nd the -serF relate this to anepilepti 1t or to emotional an?iety deteted in an olderperson with dementia,

    3 ardware design is omplete b-t 'lgorithm developmentontin-es

     @ '-dio feat-re e?tration has been %&> ompleted

    3 -iet

    3 Many people hatting

    3 M-sial so-nds )adio or T; or reordings0

    3 P-bli Transport @ 'elerometery ompression/storage ompleted

     @ Camera feat-re e?tration has D-st now started

    3 Hae +etetion ;iola Iones Method0

    3 )ate of Movement of large obDets

    3 'verage Colo-rs and 6rightness

    3 'lgorithms will now be made energy aware -sing samplingrate and spatial resol-tion as energy omp-te trade oJfators

    Camera Prototype '-dio )Prototpye

      Hriends Chatting Manin a hallway

      Haial Capt-re shapes

    4ativ32SP2

    Prof, Thomas Gross. +r, +ennis MaDoe. 2vana #n!ovi. Stephan 3oster.ET 4SG/(ST

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    !+portant 4or Al, le4t undle ranch locB 5L, ri*ht undle ranch locB 5, and

     

    Pro4( David Atien

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    8eatures ased on and > >er& sensitive to peaB +isdetection

     A+ulator& +onitorin*E peaB +isdetection due to nois& si*nals 5up to

    0O +isclassi4ied peaBs

    %hallen*e Detect wron* peaBs

    %orrect the peaBs

    eart eat classi4ication 5) outco+esE nor+al 5N,e9tra 5e, sBipped 5s and +isplaced 5+

    %on4usion +atri9 5R20) eats, 1h recordin*, 0Oerror rate

    %orrect recover& SS(O o4 the ti+e

    0(6O error in and > calculation

    ECG en$# "hallene am&ulat$#'

    e m

    @&*@7 $ %8 8&

    e @9 K$%= & K

    $ & K797 8

    m *$ & 89 K$@K

    Predicted t&pe

    eal

    t&pe

    Pro4( David Atien

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    Multi-linear structure of Edata

    EEG ma#e# $ in andl8heime#9 dieae

    EEG analysis3 P#e(#$"ein

    3$u#"e (e"t#al anal'i):*;

    3l(ha #h'thm de"$m($iti$nM 

     ANT Neuro,Netherlands 

    "1 &

    1

    a

    "2&2

    a

    ? , , E@ AA

      PARAFAC3EBteni$n $ &ilinea# a"t$# m$3e"$m($iti$n $ EEG a ; t#il"$m($nent

    =#eDuen"ie

       E   E   G 

      %  $

      u  #  "  e  %

       >  a  %   5 

      %

    EEG Recording

    )EC4

    )ECO

    )EC

    EEG=#eDuen"ie

       E   E   G 

       /  $  u  #  "  e  %

    P+ +r, Maria 3nyazeva. Elham 6arzegaran. C#;

    ()E4

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    aging7L8Lomponent str-t-re

      of alpha rhythm

    $L7Lomponent str-t-rof alpha rhythm

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    aging7L8Lomponent str-t-re

      of alpha rhythm

    $L7Lomponent str-t-rof alpha rhythm

    Fine structure of EEG alpha rhythm chanith age

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    26(0)(2016

    Bo"Poere"Sense - Conc!usionso EEG an" PE# ( ET5 NSG6LST an" ET5 #NS) ith TEG an" so!ar ce!!s shos 1er;or

    com1ati!e ithin the e91ecte" ener0 consum1tion an" the use o; haresters

    o ECG ;or emotion sensin0 (EPFL ESL) ;or amu!ator monitorin0 e9hiits at !east / suc

    Emotion c!assi;ication (>$ : arousa! an" a!ence, #T an"6or Au0sur0 emotion "ataase"etermination o; a0itation, "isorientation an" stress (A!%heimer) an" ;or hi0h arousa! an"

    an" *8 (E1i!e1s)

    o C inte0rate" in C#3S @nm (EPFL ESPLAB) ;or Contro! an" Ener0 arestin0 ;or EEG

    ECG /m+h6>m+6h

    e!ectro"e sstem, 0iin0 a 1ossi!e ?= "as autonom)

    o

    Ener0 31timisation to e continue" (ET5 NSG6LST 7 #NS, EPFL ESL, SA#LAB 7 ESP3 #pti+isation o4 Power %onversion 4ro+ the $ner*& arvestin* $ sources to stora*e 5MN', 'AM, $'P3 7LTA Low ener*& A'!% 4arication in Microcontroller desi*n 5$'L

    3 8ir+ware +a9i+isin* the results:ener*& ratio 5N':L'T

    o *e"uce the numer o; e!ectro"es (current! "emonstrate" ;or a!1ha com1onents "on to

    1ara!!e! ;actor ana!sis ParaFac) an" continue c!inica! use ;or e1i!e1s in chi!"ren ('S

    A!%heimers "isease in the e!"er! (C48 L*EN) ith the "ee!o1e" !ocks

    o n"ustria! 1artners he!1 ;or mu!ti-"isci1!inar T

    NanoTera "od&Powered'ense

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    4"2#"!6 Milad Ataei, $%P&AB, $PF&

    4anoLTera 6odyPoweredSenSE Team