nano-tera 2016 - bodypoweredsense
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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
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