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2ndTaiwan-FranceECOTECHConference

January5-6,2017,atBrainSpineInstitute,Paris.

Finalprogram,withabstractsandbiosofspeakers.

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THURSDAY5January201709h30Welcome10h00IntroductionCCChen;ELalo;JRiff;OButtelli10h30RossParry(ICM,HôpitalPitié-Salpêtrière)“WalkingwithParkinson’sdisease:motoractivityindailylifeassensorimotorcouplingbetweenthepersonandtheirenvironment—aninterdisciplinarystudy”11h10ChristineAzevedo(INRIA/LIRMMMontpellier)“ObservingandassistingpostureandgaitinParkinsonDiseaseindividuals"11h50Hsi-PinsMa(NationalTsingHuaUniversity,Taiwan)“DesignandImplementationofWearablePhysiologicalSensors”12h30Lunch14h00MeryemJabloun(PRISMEUniversitéd’Orléans)”AnewgeneralizationofthediscerteTeager-KaiserEnergyoperator-ApplicationtoonsetdetectionusingsEMGsignals.”10h40ChiungChuChen(ChangGungMemorialHospital,Taoyuan,Taiwan)“Oscillationsactivityinsubthalamicnucleuscorrelateswithgaitdisturbance"15h20Coffeebreak16h00PhilippeRavier(PRISME,Universitéd’Orléans),“CharacterizingParkinson’sdiseaseusingEMGfractionallinearprediction”16h20NacimRamdani(PRISME,Universitéd’Orléans)”Aninverseoptimalcontrolapproachtotheclosed-loopmodellingandanalysisofinitiationofwalkinginParkinsonDisease”

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FRIDAY6January201709h30YvesAgid(ICM;AcadémiedesSciences)«MythesdanslamaladiedeParkinson»10h15HsinChen(NationalTsingHuaUniversity,Taiwan)“AMulti-site,Closed-loopNeuromodulatorfortheTheranosisofNeuralDegenerativeDiseases”.10h50CoffeeBreak11h10Marie-LaureWelter(ICM,HôpitalPitié-Salpêtrière)“Virtualgaitfunctionalimageryinhumans:afMRIstudyinhealthyvolunteersandPDpatients.”11h50AmalNaseem(PRISMEUniv.Orléans)”MuscularActivationIntervalsDetectionUsingGaussianMixtureModelGMMAppliedtosEMGSignals”12h20Lunch14h00DijanaNuic(ICM,Braine-Novation)“VideogamestoalleviategaitandbalancedisordersinpatientswithParkinson'sdisease:afeasibilityandacceptabilitystudy14h40FabienClenché(EA3450DevAH54600Villers-lès-Nancy)”DesignaVirtualRealityandHumanMetrologyplatformtoevaluatefallriskintheelderlyandParkinsondisease”15h20NicolasFerveur(TechnologyErgonomicsApplications,Nancy)”TEAAcquisitiondevicesandsolutionforreallifeSettings”15h40Pause/productdemonstration16hWrap-upandClosingRemarks.

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Title:TheTECSANECOTECHproject. Author:ChiungChuChen(ChangGungMemorialHospital,Taoyuan,Taiwan);ElodieLalo(ICM&Universitéd’Orléans);JacquesRiff(Universitéd’Orléans);OlivierBuJelli(PRISME,Univ.Orléans)Bios:Olivier Buttelli received the PhD degree from theUniversityofParis-Sud(Orsay),France,in1996andthehabilitationtosuperviseresearchin2004.He is associated professor, specializing inbiomechanics,physiologyofmuscleandergonomics,at the Multidisciplinary research laboratory ofsystem engineering, mechanics, and energetics,UniversityofOrleans.HehasbeenrunningacademicprogramsatBachelor’s,Master’sandPhDlevelsforSciences in Sport Exercise, Signal Processing andErgonomics. His main activities relate to fatigueprocessesandphysicalexerciseanddevelopmentofsignal processing for electrophysiological signals.Currently,heisconductingandsupervisingresearchactivitiesinhealthtechnologyandhe is the leader of the French-Taiwanese joint project: “innovating technology tocharacterize balance loss in ecological setting of daily life, application to Parkinson’sdisease”. For the French part, this project is funded by the FrenchNational ResearchAgency(ANR),technologiesforhealthandautonomy(TECSAN)program.ElodieLaloisAssociateprofessoratthedepartmentofmotionscience and ergonomics at the University of Orléans. She isdoingherresearchattheBrainSpineInstitute(Paris,France).She has been working on complex motor coordination andbrainactivityinParkinsondiseaseaswellastherapieseffectssuchasdeepbrainstimulationusingelectroencephalographictools. She is currently focusing on the articulation betweenneuroscience and ergonomics towards the ecologicalunderstanding and development of human motor activity inthe cases of neurological and psychiatric disorders. In the line of citizen science andbased on patients and practitioners experience complementary to classicalneurophysiologicalmeasures,thisworkaimsatenablingto(i)furtherunderstandbraininreal-lifesituation,(ii)adjusttherapyandcaremanagement,and(iii)designadaptedandpersonalizedlifeenvironment..

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Title:DesignandImplementationofWearablePhysiologicalSensorsAuthors:Hsi-PinMa(NationalTsingHuaUniversity,Taiwan)Abstract:Inthistalk,aplatformforwearablephysiologicalsensingsystemispresented.WecanusethesensortomonitorECG/respiration/9-axisatthesametime.Wecanusethelowcomplexitylowpowerwirelesssensornodetorecordthephysiologicalsignalsandcontinuouslymonitor fora longtime(severaldays).Bymobilephone,wecanusetheexisting3G/WiFinetworktosendbacktherecordedECGsignalsforfurtheranalysis.Thereisnoextradeploymentcostforthewholeinfrastructure.WealsoproposedsomealgorithmsforECG/respiratorysignalanalysisimplementedbothonthemobilephonesandcloud.Wealsodevelopalgorithmstouse9-axissensorforgesturerecognition.Thiscanalsoletdoctorshavemoreoptionstoprovidemedicalservices.Withthepossibilitiesof wearable sensing techniques, we can also extend the techniques to the life styleapplications or interdisciplinary collaborations. Some demoswill be presentedwithinthetalk.Bio:Hsi-PinMareceivedtheB.S.andPh.D.degrees inelectricalengineering from the National Taiwan University, Taiwan, in1995and2002.Atthesummerof2000,heinternedatSiemensTelecommunication Systems Limited, for feasibility study andestablishment of a dual-mode base station for WCDMA andcdma2000. Since 2003, he has been with the Department ofElectrical Engineering and Institute of CommunicationsEngineering, National Tsing Hua University, Hsinchu, Taiwan,whereheiscurrentlyasaProfessor.Dr.Ma’sresearchinterestsinclude biomedical electronics and signal processing,telemedicine,wearableandimplantabletechnologies,andhealthinformatics. For communications, he continues to focus on thesystem design, signal processing, and SoC implementation for advanced MIMO andcognitive radios. He has published 14 journal and 60 conference papers, and 11international patents. He has got 3 times outstanding publication awards fromNTHUand1excellentprojectawardfromNationalSoCProgram,NationalScienceCouncil.Hehasalsofourcasesoftechnologytransfertotheindustries.

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Title :Observingandassistingpostureandgait inParkinsonDiseaseindividuals"Authors:ChristineAzevedoCoste(INRIA/LIRMMMontpellier),BenoîtSijobert(UNIVMontpellier/LIRMMMontpellier),ChristianGeny(CHUMontpellier)Abstract: We have developped inertial measurement unit (IMU)-based algorithms toanalyzeParkinsonDisease(PD)gaitandFreezingOfGait(FOG)episodes.Wehavealso investigatedtheeffectofasensitivecueingonFOGandgaitdisorders inpatient in PD subjects equipped with an electrical stimulator and an IMU. Electricalstimulation (ES) on the arch of footwas triggered at heel off. Subjectswere asked towalkonapath including5mstraight linewalk,u-turnandwalkaround.ESactedasacueingmodalityandgloballydecreasedthetimetoexecutethedifferentwalkingtasks.Bio: Christine Azevedo Coste graduated from InstitutUniversitairedesSciencesPourl’IngénieurdeMarseille,France,in 1997. She received M.E. and Ph.D. degrees in automaticcontrol from the INPG, Grenoble, France, in 1999 and 2002,respectively.From 2002 to 2003 she was working as a Postdoc at INPC,Marseille,France.From2003to2004shewasaguestresearcherattheSMIcenterinAalborg,Denmark.Since2004sheworksasresearchscientistofINRIAinLIRMMlaboratoryinMontpellier.Her research interests include functional rehabilitation,neuroprosthetics, assistive technology,humanpostural control,functionalelectricalstimulation,movementanalysis

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Title:�Aninverseoptimalcontrolapproachtotheclosed-loopmodellingandanalysisofinitiationofwalkinginParkinsonDisease.Authors:NacimRamdani(Univ.Orléans,PRISME)Abstract: In this talk, Iwill report the resultsonways todevelopadynamical closed-loopmodelthatcanaccuratelypredicthumanactualmotionduringinitiationofwalking,andhowitmaybeusedtoexhibitmotioninvariants.Weareinterestedinmodellingthedynamics of the centre ofmass (CoM), the centre of pressure and the feet placementduringthesteps.Ourideaistoclosetheloopusingamodelpredictiveoptimalcontrolapproach.With a simple inverted pendulummodelwith hybrid dynamics, an optimalcontrolapproachisusedtocomputethecontrolinputstakenastheCoMjerkandstancefoot position. The optimality criteria that should be used to predictmotions close toactualonesare then inferredusingan inverseoptimal controlapproach.The imputedoptimalitycriteriamaythenserveasabasisforcharacterizingmotioninvariantsifany.The latter are expected to change with the subject. Technical details underlying theapproachwillbeintroducedandthepreliminaryresultsasobtainedonactualdatafromParkinsonandcontrolsubjectswillbediscussed.The work was conducted mainly by Adina M. Panchea, in collaboration with SylvainMiossec,OlivierButtelli (Univ.Orléans,PRISME),AngèleVanHammeandMarie-LaureWelter(INSERMICM).Bio: Nacim Ramdani received the Engineer degree from EcoleCentrale de Paris, France, in 1990, the Ph.D. degree from theUniversity of Paris-Est Créteil, France, in 1994 and theHabilitationin2005.SinceSeptember2010,hehasbeenaFullProfessor at the Université de Orléans (IUT de Bourges)affiliated with the Laboratoire PRISME EA 4229 Université ofOrléans-INSACentreValdeLoire,andwiththejointGraduateschool MIPTIS of Université de Orléans and of UniversitéFrançoisRabelaisatTours.From1996 to2010,hewasMaîtrede Conférences with the University Paris-Est Créteil. He wasaffiliatedwith theLIRMMCNRSMontpellierduring2005-2010andalsoonsecondmentwiththeINRIAduring2007-2009.Heistheco-ChairoftheworkgroupgrouponSetComputationTechniqueswithintheFrenchresearch group on Automatic Control (GDR MACS) and of the UK working group onInterval Methods.. His current research interests revolve around developing robustnumericalmethods for themodelling and analysis of cyber-physical and autonomoussystemsinpresenceofuncertainty,andsetmembershipestimationwithapplicationstorobotics, human-robot interaction, and healthcare. He mainly focuses on intervalanalysisandrelatedrobustsetcomputationtechniques.HeisthePIofseveralexternallyfunded projects, amongst others, the French ANR INS 2011-2015 MAGIC-SPS“GuaranteedMethodsandAlgorithmsforIntegrityControlandPreventiveMonitoringofSystems”,FrenchFUI14FEDER2012-2016e-Monitor’âge“SmartSupervisoryControlofRetirementCentres”andEuropeanH2020RISE2015-2019PROPHETIC“AninnovatingPersonal Healthcare Service for a holistic remote management and treatment ofParkinson patients”. He has published 30+ international journal papers, and 80+internationalconferencepapers.

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Title:OscillationsactivityinsubthalamicnucleuscorrelateswithgaitdisturbanceinPDAuthor:ChiungChuCHENMD,PhD,ChangGungMemorialHospital,Taoyuan,TaiwanAbstract:Freezingofgait(FOG)isacommonanddisablingmotorsymptominpatientswithadvancedParkinson’sdisease(PD),characterizedbyepisodicinabilitytogenerateeffectivesteppingdespitetheintentiontowalk.TheFOGisassociatedwithseverityofdiseaseandaffectsthequalityoflife.ThepathogenesisofFOGremainsunclearandtheeffectofmedicalorsurgicaltreatmentislimited.Subthalamicnucleus(STN)stimulationamelioratesmainmotorsymptomsofparkinsomismbut theeffect forFOG isvariable.Local field potential (LFP) recorded from STN in such patients have demonstratedsynchronized oscillations in beta frequency band. Whether this oscillation associateswithgaitfreezingisunknown.Despite FOG can be precipitated in some circumstances including approachingdoorways,dualtaskingorcrowdedplaces,itcanbedifficulttostudyinthelaboratory.HereweinvestigatetheuseofdualtaskstoprovokefreezebehaviorinpatientswithPDwho underwent bilateral STN DBS implantation. LFP was recorded from the STN inparkinsonian patients during walking with dual tasks, including spatial memory,calculationandStroop inhibition.Gaitperformancewasmeasuredwithaccelerometryattachingtolumbarspineofpatients.BetapeakisnotaconsistentfeatureinSTNduringwalking.However,within thosepatients inwhomFOGwasprovokedwithdual tasks,exaggeratedbetasynchronizationinsubthalamicregionwasnotedpriortotheonsetofFOG. Beta synchronization, proposed to be “anti-kinetic” has been suggested tocorrelated to rigidity and bradykinesia in parkinsonism. Here, we revealed that thissynchronization is also associated with gait disturbance in patients whose FOG wasprovokedbydual tasks.Thisresulthighlight thecomplexityofgait freezing inPDandunderliethetherapeuticeffectofSTNDBSforFOGinPD.Bios:

NAME:ChiungChuCHENMD,PhDGENDER:Female

CITIZENSHIP:Taiwan

OFFICEADDRESS:DepartmentofNeurology,ChangGungMemorialHospitalatLinkouNo.9,FuxingSt.,GuishanDist.,TaoyuanCity333,Taiwan(R.O.C.)

E-MAIL:neurozoe@gmail.comEDUCATION:1988-1995,ChinaMedicalUniversity,Taichung,Taiwan-MD

POST-GRADUATEEDUCATION:2004-2008,InstituteofNeurology,UCL,UK-Ph.D2004,ResearchfellowatInserm318,Joseph-FourrierUniversity,Grenoble,France

2003-2004,ResearchfellowatImperialCollege,London,UK

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ACADEMICAPPOINTMENT:SupervisorofMScinInstituteofNeurology,UCL,UK

EMPLOYMENTRECORD:2012~AssociateProfessor,ChangGungUniversity

2007~ Assistant Professor, Department of Neurology, Chang Gung Memorial Hospital, Taipei,Taiwan2000,Attendingdoctor,DepartmentofNeurology,ChangGungMemorialHospital,Taipei,Taiwan

1999~2000,FellowinDepartmentofNeurology,ChangGungMemorialHospital,Taipei,Taiwan

1995~1999, Resident doctor in Department of Neurology, Chang Gung Memorial Hospital, Taipei,Taiwan

BOARDCERTIFICATION:Licensers:1996/05/24:TaiwanMedicalSociety1998/11/20:TaiwanNeurologistSociety

PROFESSIONALAFFILIATIONS:TaiwaneseNeurologySociety,MovementDisorderSocietyPROFESSIONALACTIVITIES:MemberofMedicalRecordCommitteeinChangGungMemorialHospitalCHAIRPERSONINPOSTERSECTION:16thSymposiumofParkinson’sDiseaseandRelatedDisorders,Berlin2005

REVIEWER:JournalofNeurologyNeurosurgeryandPsychiatry,JournalofNeurology,MovementDisorders,EuropeanJournalofNeurology,Neurology.ExperimentalNeurology.Bibliography(Publications)：1. ChenCC,LeeST,WuT,ChenCJ,HuangCC,LuCS.Hemiballismaftersubthalamotomy

inpatientswithParkinson’sdisease:reportof2cases.MovDisord.2002Nov;17(6):1367-71.

2. Chen CC, Lee ST, Wu T, Chen CJ, Chen MC, Lu CS. Short-term effect of bilateralsubthalamic stimulation foradvancedParkinson’sdisease.ChangGungMed J. 2003May;26(5):344-51.

3. Yen TH, Lai PC, Chen CC, Hsueh S, Huang JY. Renal involvement in patients withpolymyosititsanddermatomyositis.IntJClinPract.2005Feb;59(2):188-93.

4. MomeniP,LuCS,ChouYH,ChangHC,ChenRS,ChenCC,HsuJT,SingletonA,HardyJ.Taiwanese cases of SCA2 are derived from a single founder.MovementDisorders.2005Dec;20(12):1633-6.

5. ChenCC,KuhnAA,HoffmannKT,KupschA,SchneiderGH,TrottenbergT,KraussJK,Wohrle JC, Bardinet E, Yelnik J, Brown P. Oscillatory pallidal local field potentialactivitycorrelateswithinvoluntaryEMGindystonia.Neurology.2006Feb14;66(3):418-20.

6. ChenCC,PogosyanA,ZrinzoLU,TischS,LimousinP,AshkanK,YousryT,HarizMI,Brown P. Intra-operative recordings of local field potentials can help localize thesubthalamicnucleusinParkinson’sdiseasesurgery.ExpNeurol.2006Mar;198(1):214-21.

7. BrownP,Chen CC,Wang S,KuhnAA,DoyleL, YarrowK,NuttinB, Stein J, AzizT.Involvement of human basal ganglia in off-line feed-back control of voluntary

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movement.CurrBiol.2006Nov7;16(21):2129-34.8. ChenCC,BruckeC,KempfF,KupschA,LuCS,LeeST,TischS,LimousinP,HarizM,

Brown P. Deep brain stimulation of the subthalamic nucleus: a two edged sword.CurrBiol.2006Nov21;16(22):R952-3.

9. Chen CC, Kuhn AA, Trottenberg T, Kupsch A, Schneider GH, Brown P. Neuronalactivityinglobuspallidusinternacanbesynchronizedtolocalfieldpotentialactivityover3-12Hzinpatientswithdystonia.ExpNeurol.2006Dec;202(2):480-6.

10. AndroulidakisAG,KuhnAA,ChenCC,BlomstedtP,KempfF,KupschA,SchneiderGH,Doyle L, Dowsey-Liousin P, Hariz MI, Brown P. Dopaminergic therapy promoteslateralizedmotoractivityinthesubthalamicareainParkinson’sdisease.Brain.2007Feb;130(Pt2):457-68.

11. ChenCC,BrownP.Theroleofsynchronizedlowfrequencyactivityinglobuspallidusinternaindystonia.ActaNeurolTaiwan.2007Mar;16(1):1-6.

12. ChenCC,LitvakV,GilbertsonT,KuhnAA,LuCS,LeeST,TsaiCH,TischS,LimousinP,HarizM,BrownP.Excessivesynchronizationofbasalganglianeuronsat20HzslowsmovementinParkinson’sdisease.ExpNeurol.2007May;205(1):214-21.

13. KempfF,BruckeC,KuhnAA,SchneiderGH,KupschA,Chen CC,AndroulidakisAG,Wang S, VandenbergheW, Nuttin B, Aziz T, Brown P.Modulation by dopamine ofhumanbasalgangliainvolvementinfeedbackcontrolofmovement.CurrBiol.2007Aug7;17(15):R587-9.

14. BruckeC,KupschA,SchneiderGH,HarizMI,NuttinB,KoppU,KempfF,TrottenbergT, Doyle L, Chen CC, Yarrow K, Brown P, Kuhn AA. The subthalamic region isactivatedduringvalence-relatedemotionalprocessing inpatientswithParkinson’sdisease.EurJNeurosci.2007Aug;26(3):767-74.

15. Chen CC. Oscillatory activity in the basal ganglia: is it relevant to movementdisorders and their therapy? Institute of Neurology (University of London). 2008Sep.

16. EusebioA*,ChenCC*,LuCS,LeeST,TsaiCH,LimousinP,HarizM,BrownP.Effectsof low-frequency stimulation of the subthalamic nucleus on movement inParkinson'sdisease.ExpNeurol.2008 Jan;209(1):125-30. (*The first twoauthorscontributedequallytothepaper)

17. YoshidaF,Martinez-Torres I, PogosyanA,Holl E, PetersenE,Chen CC, FoltynieT,Limousin P, Zrinzo LU, HarizMI, Brown P.Value of subthalamic nucleus local fifldpotentials recordings in prediciting stimulation parameters for deep brainstimulation in Parkinson’s disease. J Neurol Neurosurg Psychiatry. 2010Aug;81(8):885-9.

18. Chen CC*, Hsu YT, Chan HL, Chiou SM, Tu PH, Lee ST, Tsai CH, Lu CS, Brown P.Complexity of subthalamic 13-35 Hz oscillatory activity directly correlates withclinical impairment in patients with Parkinson’s disease. Exp Neurol. 2010Jul;224(1):234-40.

19. LaiSC, JungSM,Grattan-SmithP,SugoE,LinYW,ChenRS,Chen CC,Wu-ChouYH,Lang AE, Lu CS. Neuronal intranuclear inclusion disease: two cases of dopa-responsive juvenileparkinsonismwithdrug-induceddyskinesia.MovDisord.2010Jul15;25(9):1274-9.

20. PogosyanA,YoshidaF,ChenCC,Martinez-TorresI,FoltynieT,LimousinP,ZrinzoL,Hariz MI, Brown P. Parkinsonian Impairment Correlates With Spatially Extensive

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SubthalamicOscillatorySynchronisati.Neuroscience.2010Nov24;171(1):245-57.21. ChenP,LinJJ,LuCS,OngCT,HsiehPF,YangCC,TaiCT,WuSL,LuCH,HsuYC,YuHY,

RoLS,LuCT,ChuCC,TsaiJJ,SuYH,LanSH,SungSF,LinSY,ChuangHP,HuangLC,ChenYJ, Tsai PJ, LiaoHT, LinYH, ChenCH, ChungWH,Hung SI,Wu JY, ChangCF,ChenL,ChenYT, ShenCY;Taiwan SJS Consortium. Carbamazepine-induced toxiceffectsandHLA-B*1502screeninginTaiwan.NEnglJMed.2011;364(12):1126-33.

22. ChenCC*,LinWY*,ChanHL,HsuYT,TuPH,LeeST,ChiouSM,TsaiCH,LuCSandBrownP.Stimulationof thesubthalamicregionat20Hzslowsthedevelopmentofgrip force in Parkinson’s disease. Exp Neurol. 231 (2011) 91–96. ( *The first twoauthorscontributedequallytothisstudy.)

23. HsuYT,LaiHY,ChangYC,ChiouSM,LuMK,LinYC,LiuYL,ChenCC,HuangHC,ChienTF,LinSZ,ChenYY,TsaiCH.Theroleofthesub-thalamicnucleusinthepreparationofvolitionalmovementterminationinParkinson'sdisease.ExpNeurol.233(2012)253–263.

24. Wu-Chou YH, Chen YT, Yeh TH, Chang HC,Weng YH, Lai SC, Huang CL, Chen RS,HuangYZ,ChenCC,HungJ,ChuangWL,LinWY,ChenCH,LuCS.GeneticvariantsofSNCAandLRRK2genesareassociatedwithsporadicPDsusceptibility:areplicationstudyinaTaiwanesecohort.ParkinsonismRelatDisord.2013Feb;19(2):251-5.

25. Chen CC*, LinWY*, ChanHL, Tu PH, Lee ST, Lu CS, Brown P. The impact of low-frequencystimulationofsubthalamicregiononself-generatedisometriccontractioninpatientswithParkinson’sdisease.ExpBrainRes.2013May;227(1):53-62.

26. E.Lalo, J.Riff,R.Parry,M. Jabloun, J.Roussel,C.-C. Chen,M.-L.Welter,O.Buttelli.,2016, Design of Technology and Technology of Design. Activity Analysis as aResource for aPersonalisedApproach forPatientswithParkinsonDisease., IRBM.,2016April;37(2):90–97.

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Title:CharacterizingParkinson’sdiseaseusingEMGfractionallinearpredictionAuthors:PhilippeRavier(PRISMEUniv.Orléans),MeryemJabloun(PRISMEUniv.Orléans),MohamedLamineTalbi(ETA),RossParry(ICMCNRSINSERM),ElodieLalo(ICMCNRSINSERM),OlivierButtelli(PRISMEUniv.Orléans).Abstract:Weproposeamodeling technique for thesurfaceelectromyographic(sEMG)signalsbasedonthefractionallinearprediction(FLP).Toourknowledge,thisisthefirsttimetheFLPmodelingisappliedtosEMGData.ThisstudyismotivatedbytheabilityofFLPmodelingforcharacterizingawaveformwithareducedsetofparameters.TheFLPisappliedonrealsEMGdatarecordedontheSoleusmusclesunderwalkingconditionsand preliminary results are obtained. The dynamics of FLP coefficients for personssufferingfromParkinson’sdisease(PD)wereshowntobelowerthanthoseforhealthysubjects. This suggests less adjustmentpossibilities in theneuromuscular responseofthePDsubjectscomparedtothehealthysubjects.TheevaluationoffractalcomponentsofthesEMGdataisalsoachievedandacomparisonwithFLPevolutionisproposed.Bio: PhilippeRavierwasborn in Chambéry, France on22February 1969. He received the Ph. D. degree inengineering science speciality signal, image and speech,from the Polytechnic National Institute of Grenoble(France) in 1998. Since 1999, he is assistant professor attheEngineerPolytechSchoolof theUniversityofOrleans.Heobtainedin2011theHDRdiplomaoftheUniversityofOrléans, France, which authorises official supervision oftheses.He is in chargeof theSIGNAL teamof thePRISMElaboratory,universityofOrléans,France.Hisresearchdealswith nonstationary and cyclostationary signal analysis,withapplicationtobioelectricalsignalsandradiofrequencyinterference signals. He developed methods for eventdetection, parameter estimation and feature selectionproblems.

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MuscularActivationIntervalsDetectionUsingGaussianMixtureModelGMMAppliedtosEMGSignalsAuthor:AmalNaseemUniversityofJeddah,KingdomofSaudiArabia,Universitéd’Orléans,France.anaseem@uj.edu.saamal.naseem@etu.univ-orleans.frAbstract: We propose to apply the Gaussian Mixture Model (GMM) to surfaceelectromyography(sEMG)signalsinordertodetectthemuscularactivation(MA)onset,timingoffandintervals.First,classicaltimeandfrequencyfeaturesareextractedfromthe sEMG signals, beside the Teager-Kaiser energy operator (TKEO) is evaluated andadded as a new feature which enhances the detection performance. All the obtainedfeaturesarethenusedastheinputfortheGMMtoconductthebinaryclustering.Finally,adecisiontheoryisappliedinordertodeclaresEMGactivationtimingofhumanskeletalmuscles during movement. Accuracy and precision of the algorithm are assessed byusingasetof syntheticsimulatedsEMGsignalsandrealones.Acomparisonwith twopreviously published techniques is conducted: wavelet transform-based method anddoublethresholdbasedmethod.OurexperimentalresultsprovethattheproposedGMM-based algorithm is able to accurately reveal theMA timingwith performance beyondthatofthestate-of-the-artmethods.Moreover,thisproposedalgorithmisautomaticanduser-independent.Index terms: Activation Timing Detection, Onset detection, Timing Off Detection,GaussianmixturemodelGMM.AmalNaseemreceivedthebachelordegreeofcomputersciencein2006fromUniversityofKingAbdulAziz(Jeddah,KingdomofSaudiArabia)andthemasterdegreeofnetworkingandsecurity in2013fromUniversityofParisDescartes(Paris,France).Currentlysheisalecturer at university of Jeddah (Kingdom of Saudi Arabia) and aPhDcandidateincomputerscienceattheUniversityofOrleans.Hercurrent research interests include healthcare applications forParkinson’sdiseasepatients.

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AnewgeneralizationofthediscerteTeager-KaiserEnergyoperator-ApplicationtoonsetdetectionusingsEMGsignals.Author:MeryemJabloun,Univ.Orléans.Abstract. The discrete Teager-Kaiser operator (TKO) was firstly introduced in 1990.Generalized versions of this operator (GTKO)were proposed later. Both theTKO andGTKO were able to detect instantaneous amplitude changes of signals and theysignificantly improved thesignal tonoise ratios (SNR).TheTKO,aswellas theGTKO,canbeviewedas thedeterminantofanembeddingsquarematrixofsize2×2 that isbuilt using a window sliding over signals. In the present paper, we propose a newextension of these operators and we define the extended GTKO (EGTKO) as thedeterminant of an embedding matrix of size d × d with d ≥ 2. We discuss differentstructures of such an embedding matrix. The detection of instantaneous amplitudechanges can be achieved by applying a threshold to the proposed EGTKO. Totheoretically determine the optimal threshold that allows for the most accuratedetection, we present a statistical characterization of the EGTKO based on thedeterminant theory of randommatrices. The receiver operating characteristic (ROC)curvesobtainedatdifferentSNRshowthattheaccuracyoftheEGTKOoutperformsthatof the TKO and GTKO. An application to a real sEMG signal recorded on healthy andParkinson's Patient is also presented and illustrates the superiority of the proposedEGTKO.Bio. Dr Meryem Jabloun is an associatedprofessor at the Multidisciplinary researchlaboratory of system engineering, mechanics,and energetics, University of Orleans,specializing inSignalprocessing.Shehasbeenrunning academic programs at Bachelor’s,Master’s and PhD levels for Electronic andsignal processing. Her main activities areconcerned with biomedical signal processing.Currently, she is conducting and supervisingresearchactivitiesinhealthtechnologies.

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Design a Virtual Reality and HumanMetrology platform to evaluatefallriskintheelderlyandParkinsondisease

Authors.FabienClanché1,FrédericMuhla1,GérômeGauchard1fabien.clanche@univ-lorraine.fr,frederic.muhla@univ-lorraine.fr,gerome.gauchard@univ-lorraine.frEA3450DevAH–30rueduJardinBotanique–54600Villers-lès-Nancy

Abstract: Falls are a major problem in Public Health and are the consequence ofmultifactorial determinants in the elderly and in patientswithParkinsondisease thatrequirea functional andglobal approach toelaboratepreventive strategies.Most fallsoccurduringmovement,withan increasingriskof fallingwhenattentivephenomenonare diverted from the objective of action. The standardized methods in the clinicalsettingoften focusonevaluationof a specificwalkingexercisewithoutdisturbance intheenvironmentandwithoutchallengingbalancecontrol.Wedescribe thedesignofasystem using avirtualenvironment and a human metrology to assess how attentiondemandingandunexpectedevents influenceaperson's ability to controlbalance, gaitand movement. The fall tendency parameters are obtained by measures on neuro-psycho-motor responses in order to identify data processing of the closed-loop:perception-cognition-decision-action. The virtual environment can be displayed on ahead-mounteddisplay(HMD)withintegratedeyetrackerinordertoanalysesthevisualexplorationpatternsandidentifyattentionparameters.Thevirtualrealityexperienceisimprovedwithafirst-personperspectiveandavirtualavatarsynchronizedwiththerealgesturemovementsoftheperson.Thehardwareintheplatformintegratesaserverthatcomputesvirtualenvironment,collectdatafrommanywearablesensors(physiologicalsensors, kinetics sensors and kinematics sensors) and process data. The preliminarypilotstudywillconcern25subjects(age65-85)withnopathologyand25subjectswithParkinsondisease.Thisinnovativeplatformofthe“HôpitalVirtueldeLorraine”projectisfundedbytheFEDERprogram.Keywords:virtual reality,humanmetrology, fall risk,motorcontrol,ageing,Parkinsondisease

Bio: Fabien Clanché received the Engineer degree from ENSIAME inautomaticcontrolandsystemengineer,France,in2004.Since2013,heisResearchEngineer in scientific instrumentationat theUniversityofLorraine (Faculty of Sport Sciences of Nancy) affiliated with theLaboratory EA 3450 DevAH. He is one of the leader for the LorraineVirtualHospitalProjectfundedbyFEDERprogram.Hedesignsavirtualreality andhumanmetrologyplatformand adecision support system(DSS)forsports-healthprogram.Hewroterequirementsandfunctionalspecificationandmanagesprovidersandbudgets.Hemainlyfocusesoncyber-physicalsystem,virtual-realityandsystemmodeling.From2004until2013,hehasbeenEngineerinchargeofexperimentalplatformsatResearchCenterforAutomaticControlofNancy(CRAN).HedesignedanddevelopedaSafetechCenter(homeautomation,interactiveandsafedrivensystems)andanadaptivecontrollerforaglasskiln.Hesupervisedalsoseveralstudentprojectsandinternships.

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Virtualgaitfunctionalimageryinhumans:afMRIstudyinhealthyvolunteersandPDpatients.Marie-LaureWelter,VMarchal,MPelegriniIssac,JasonSellers,CecileGallea,EricBertasi,RomainValabrègue,PierreLeboucher,BrianLau,EricBardinet,CarineKarachi.Abstract.GaitandbalancedisorderswithfallsarefrequentlyreportedinpatientswithParkinson’sdisease(PD).Freezingofgaitisoneofthemostdisablinggaitdisordersandis characterized by sudden motor arrest. It appears more frequenty when turning,passingdoorwayorincaseofemotion.Thepathophysiologyofthesemotorsymptomsisnot fullyunderstood.However, recent clinicalandexperimental reports suggest theinvolvement of non-dopaminergic brain regions, in particular the mesencephaliclocomotorregionandfrontoparietalcorticalareas.Functionalimagingstudiesofhealthyvolunteers have demonstrated that imaginary gait induced similar activation of brainareas than real gait. Here, we propose a new virtual gait task to image the neuronalnetworkinvolveingait,butalsogaitwithobstacles(doorway)tomimicfreezingofgaitcircumstance.Thefirstpartoftheprogramwastoexaminetheeffectsofthisvirtualtaskin healthy controls.We compared activations obtained during virtual gait and virtualmovingwalkway. Incontrols,virtualgait inducedanactivation inthreeclustersat thecortical level: 1) the motor, premotor and SMA cortices, 2) occipital cortices andcerebellum and 3) left hippocampus. At the subcortical level, activated clusters werefoundinthethalamus,striatumandleftMLR.GaitwithdoorwayinducedanactivationofthebilateralprimarymotorandpremotorofthelimbcorticesandSMA,thestriatum,left internal pallidum, right subthalamic area and bilateralMLR. These results confirm that gait execution involvesmainly a motor and premotor network including cortex,cerebellum, basal ganglia and PPN, whereas gait withdoorway requires deep brain structures such as thesubthalamic area and CN that could encode environmentalcues to adapt locomotion and postural control.. In the nextstep,wewillrecordPDpatientsthatsufferedmildtoseveregait and balance disorders to understand the role of thedysfunction of this network in the occurrence of gait andbalancedisordersinthesepatients.Bio.

Dr.Marie-LaureWelter(ICM,HôpitalPitié-Salpêtrière)

NAME WELTER, Marie-Laure ____________________________________________________

POSITION TITLE Medical Doctor

INSTITUTION AND LOCATION University Rouen, France

- University Paris VI Pierre et Marie Curie, Paris, France

DEGREE (if applicable) MD PhD

MM/YY 10/97 02/07

FIELD OF STUDY Neurology, Neurophysiology Neuroscience

University Paris VI Pierre et Marie Curie, Paris, France

HDR 07/11 Neuroscience

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_________________________________________________________________________ A. Personal Statement As a neurologist, I am in charge of the deep brain stimulation program in the Pitié-Salpêtrire Hospital for patients with movement disorders, such as Parkinson’s disease, essential tremor or dystonia. My research program is devoted to the understanding of the pathophysiology of these complex abnormal movement disorders, to indentify new therapeutic targets, especially in the field of functional neurosurgery with combined clinical and electrophysiological approach. My competencies will be applied in the same way in the current project for the evaluation of the effects of brain stimulation in PD patients. B. Positions and Honors

- Position and Employment - 1997-1999 Professor Assistant, Neurophysiological Department, CHU Rouen, Rouen - 1999-2003 Full-time Medical Doctor at the Neurology Departement, Salpêtrière Hospital, Paris - 2003-2006 Full-time Medical Doctor at the Clinical Investigation Center, Salpêtrière Hospital, Paris - 2007- Permanent position (Neurology, Neurophysiologist), Neurology Department, Salpêtrière Hospital, Paris -

Other experience and Professional Memberships 2004- Member of the Société française de Neurologie, Club des mouvements anormaux 2012- Member of the Société de Neurophysiologie Clinique de langue française 2011- Member of the Société Francophone de Posture Equilibre Locomotion 2010- Member of the International Society for gait and posture research

- 2007- Reviewer in: Brain, PloS ONE, J Neurophysiol, Movement Disorders, Journal of Clinical neurophysiology, Neuroscience, J Neural Transm, Gait&Posture, Cortex C. Selected Peer-reviewed Publications Most relevant to the current application 1. Welter ML, Houeto JL, Tezenas du Montcel S, Mesnage V, Bonnet AM, Pillon B, Arnulf I, Pidoux B, Dormont D, Cornu P,

Agid Y. Clinical Predictive Factors of Subthalamic Stimulation in Parkinson’s disease. Brain 2002, Mar;125(3):575-8. 2. D Maltête, N Jodoin, C Karachi, JL Houeto, S Navarro, P Cornu, Y Agid, ML Welter. Subthalamic stimulation and neuronal

activity in the substantia nigra in Parkinson’s disease. J Neurophysiol, 2007 Jun;97(6):4017-22. 3. Bardinet E, Belaid H, Grabli D, Welter ML, Vidal SF, Galanaud D, Derrey S, Dormont D, Cornu P, Yelnik J, Karachi C.

Thalamic stimulation for tremor: Can target determination be improved? Mov Disord. 2011 Feb 1;26(2):307-12. 4. Buot A, Welter ML, Karachi C, Pochon JB, Bardinet E, Yelnik J, Mallet L. Processing of emotional information in the human

subthalamic nucleus. J Neurol Neurosurg Psychiatry. 2012 Oct 25. 5. Welter ML, Schupbach MS, Czernecki V, Karachi C, Fernandez-Vidal S, Golmard JL, Serra G, Navarro S, Welaratne A,

Hartmann A, Mesnage V, Pineau F, Cornu P, Pidoux B, Worbe Y, Zikos P, Grabli D, Galanaud D, Bonnet AM, Belaid H, Dormont D, Vidailhet M, Mallet L, Houeto JL, Bardinet E, Yelnik J, and Agid Y. Optimal target localisation of subthalamic stimulation in Parkinson’s disease patients. Neurology, 2014 Apr 15;82(15):1352-61.

D. Research Support Ongoing Research Support ANR LOCOMOTIV N° ANR-16-CE37-0007-02 (2016-2020) LOsing COntrol of MOTor Inhibition : a different View of parkinsonian akinesia Coordinator: Brian Lau Role: Co-PI Projet REHAB E-NOVATION (Grant Eurostars, Partnership: ICM/Genious Group/Radbound University) Serious games to alleviate gait and balance disorders in Parkinson’s disease patients Role: PI REMINARY-Rehab Mind Imaginary (Grant FUI-21, Partnership: Genious Group/ICM/APHP/INRIA/MENSIA) Serious games to alleviate functional disability in patients with neurological or orthopeadic immobilisation Role: PI GAITPARK_ATLAS (Grant MJFF, INSERM, C15-46) Finding new targets to treat gait and balance disorders in Parkinson’s disease : building a new human brainstem atlas Role: PI CERESTIM (Grant IETF, INSERM, C14-12) Cerebello-thalamo-cortical coupling in essential tremor: effects of high-frequency cerebellar stimulation on brain activity and tremor Role: PI ECOTECH ANR-Technologie de la Santé N° ANR-GUI-AAP-05 (2013-2017) Propose new embedded systems to detect falls and freezing of gait phenomenon, and determine neural correlates of gait disorders in PD patients Coordinator: Olivier Buttelli Role: Co-PI GB-MOV (Grant RATP, INSERM, C11-40) Role of the STN in the control of movement, including locomotion and balance, and its dysfunction in akinesia in PD patients Role: PI STTARLATE (Grant France-Parkinson, INSERM C14-01) Efficacy of STN stimulation in eldest PD patients Role: PI AcouStiC (ANR) “Model based computer assisted surgical planning in deep brain stimulation”

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The goal is to constitute an innovative strategy based on models of neurosurgical electrode implantation (cortical entry, target, blood vessels, ventricles, brain shift) to help decision-making during the surgical planning for Deep Brain Stimulation. Coordination Pierre Jannin, Rennes Role: co-investigator Completed Research Support LABCOM ANR-eBrain Novation N° ANR-13-LAB1-0003-01 (2013-2016) Propose new virtual tools to improve gait and balance disorders in PD patients Role: PI CERESMARCHE (INSERM, C12-05) Role of the SMA and the cerebellum in the initiation of gait Role: PI STIC (PHRC, AP-HP, P05-1050) Efficacy of GPi stimulation in Tourette Syndrome. Ongoing Randomized Controlled Multicentric trial Role: PI PSYCHE (Grant France Parkinson, AP-HP, RBM) Evaluate the efficacy of educational and psychological program for PD patients candidate to STN stimulation Role: PI BOND (Grant France Parkinson, INSERM, RBM C07-42). Implication of the subthalamic nucleus in emotional processing : an electrophysiological and anatomical study in human.” Determine the role of the Subthalamic nucleus in emotional processing Role: PI PHYSIO (Grant France Parkinson, INSERM, RBM C06-02) Etude de la corrélation entre les effets comportementaux et électrophysiologiques de la stimulation électrique à haute fréquence du NST chez les patients parkinsoniens” - Evaluate the effects of STN stimulation on neuronal activity of the basal ganglia Role: PI BG EMO/PATH (ANR-06-NEURO-006-01) “Physiology and functional imagery of emotional and motor behavior in relation to the basal ganglia” Coordination J Yelnik Role :Co-PI GAIT-PARK- (INSERM, C02-60). Etude des paramètres biomécaniques du premier pas dans la maladie de Parkinson et les syndromes parkinsoniens atypiques : paralysie supra-nucléaire progressive, atrophie multi-systémique et dégénérescence cortico-basale Determine the biomechanica parameters of gait in different parkisonian syndrome, in relationship with brain imagery. Role: PI PPN-STIM (INSERM, C08-07) Evaluate the efficacy of PPN stimulation in a randomized cross-over double blind trial in PD patients with levodopa-resistant gait and balance disorders Coordinator : D Grabli Role: Co-PI

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AMulti-site,Closed-loopNeuromodulatorfortheTheranosisofNeuralDegenerativeDiseasesHsinChen

NationalTsingHuaUniversity.ElectricalEngineering.E-mailhchen@nel.ee.nthu.edu.tw.http://www.ee.nthu.edu.tw/hchen/.

Abstract.Thecontemporarymicroelectronicsand informationtechnologieshavebeenemployed to brain research and the development of neural prostheses. In addition torehabilitating sensory or motor functions, stimulating specific brain regions is founduseful for treating several neural disorders. However, how electrical stimulationmodulates neural activities remains not fully understood. As rat models provide theadvantage of recording and stimulating different disease-related regionssimultaneously, this talk introduces the development of a multisite, closed-loop-controlled microsystem for investigating novel treatments on neural diseases withfreely-moving rats. Based on pre-clinical studies with hemi-Parkinsonian rats, themicrosystem is proved able to wirelessly record pathological signals as faithfully asconventionalneuro-physiologicalinstruments.Underwirelesscontrol,themicrosystemis also able to stimulate specific brain regions, so as to suppress the occurrence ofpathologicalrhythms.Moreover,particularattentionispaidtominimizethestimulationartifact, so that neural signals right after each stimulation are recordable forunderstanding how stimulation modulates neural circuitry. The algorithms forrecognising pathological signals automatically are also developed. These technologieswill facilitate long-term study on the therapeutic effects of novel bio-electronicmedicines for various neural diseases. Therefore,we are translating our technologiesinto an implantable bio-electronic medicine, consisting of a multisite, closed-loopneuromodulatorandanexternaltheranosticdevice.Outline:1.Researchmotivationandtheinterdisciplinaryteam2.Abatteryless,implantablemicrosystemforstudyingthemechanismofdeep-brain-stimulation3.Functionalverificationofthemicrosystem4.Preclinicalstudieswithfreely-moving,Parkisonianrats5.Towardsamulti-site,closed-loopneuromodulatorforthetheranosisofneuraldegenerativediseases

Bios.Dr.HsinChenreceivedhisPhDinElectronicsfromtheEdinburgh University, UK in 2004. Afterwards, he joins theEEDept. of theNTHUand isnowappointedas aprofessor.HsinhasestablishedtheNeuro-EngineeringLabfocusingondeveloping (1) novel neuro-electronic interfaces for neuralprostheses and neural engineering; (2) neuromorphicalgorithms and realising the algorithms as stochastic very-large-scale-integration(VLSI)microsystems;(3)bio-mimeticsystems for advanced research in neuroscience. The latestresearch findings have been translated into two clinicalapplications: (1) the batteryless, implantable microsystem

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forinvestigatingthemechanismsofthedeep-brainstimulation;(2)theelectronicnoseforsmellingoutpneumoniainfection.HsinreceivedtheOutstandingYoungResearcherAward from the Taiwan Integrated Circuit Design (TICD) society in 2013. Hewas aninvited researcher in theBordeauxUni. inFrance in2009, in theUniversityd'Evry inFrance in 2011, and in the Inst. of Neuroinformatics, UZH/ETH, Swiss in 2014. Topromote the research in bio-inspired systems andprosthetic devices (BioPro), he hasorganizedsixinternationalBioProworkshopsduring2009-2015.

3.ListofRepresentativePublications1. M.Y. Lin, W.Y. Hsu, Y.S. Yang, J.W. Huang, Y.L. Chung, andH. Chen*, “Immobilized

Rolling Circle Amplification on Extended-gate Field-effect Transistors withIntegrated Readout Circuits for Early Detection of Tumor-related Protein inPhysiological Buffers”Analytical andBioanalyticalChemistry, vol.408, p.4785-4797,2016(IF=3.436,Rank:13/74,ANALYTICALCHEMISTRY,Citedno.0)

2.J.H.Wang,C.T.Tang,H.Chen*,“AnAdaptableContinuousRestrictedBoltzmannMachineinVLSIforFusingtheSensoryDataofanElectronicNose”IEEETrans.NeuralNetw.Learn.Syst.,InPress,2016(SCI,IF=4.291,R=1/102)

3.Y.P.Lin,C.Y.Yeh,P.Y.Huang,Z.Y.Wang,H.H.Cheng,Y.T.Li,C.F.Chuang,P.C.Huang,K.T.Tang,H.P. Ma, Y.C. Chang, S.R. Yeh, andH. Chen* “A Battery-less, Implantable Neuro-electronicInterfaceforStudyingtheMechanismsofDeepBrainStimulationinRatModels”IEEETrans.Biomed.CircuitsSyst.,vol.10,no.1,p.98-112,2016(SCI,IF=2.482,R=34/249)

4. Y.D. Wu and H. Chen* “The Diffusion Network in Analog VLSI Exploiting Noise-inducedStochastic Dynamics to Regenerate Various Continuous Paths” IEEE Trans. Circuits Syst. I,62(6):1617–1626,2015(SCI,IF=2.403,R=39/249)

5. K.T. Tang*, H. Chen, and Y.P. Lin, “Closed-Loop Bidirectional Neuroprosthetic Systems”HandbookofBiochips,Springer,pp.1–15,2015

6.V.Vigneron*andH.Chen,“Amulti-scaleseriationalgorithmforclusteringsparseimbalanceddata: application to spike sorting”PatternAnalysis andApplications, Springer, pp. 1 – 19,2015(SCI,IF=0.646,R=100/123)

7. V. Vigneron* andH. Chen "Sparse data analysis strategy for neural spike classification",Computational IntelligenceandNeuroscience,doi:10.1155/2014/757068,2014. (IF = 0.596,Rank:54/57,MATHEMATICAL&COMPUTATIONALBIOLOGY,Citedno.0)

8.Y.D.Wu,K.C.Cheng,C.C.Lu,andH.Chen* “AnEmbedded,AnalogNonvolatileMemorywithBidirectionalandLinearProgrammability,”IEEETrans.CircuitsSyst.II,59(2):88-92,2012.(SCI,IF=1.234,R=126/249)

9.T.J.Chiu,Y.C.King, J.Gong,Y.H.Tsai,andH. Chen* “AResistive-Protective-OxideTransistorwith Adaptable Low-frequency Noise for Stochastic Neuromorphic Computation in VLSI”IEEEElectronDeviceLett.,vol.32,no.9,pp.1293-1295,2011(SCI,IF=2.754,R=29/249)

10.Y.C.Chen,H.L.Hsu,Y.T.Lee,H.C.Su,S.J.Yen,C.H.Chen,W.L.Hsu,T.R.Yew,S.R.Yeh,D.J.Yao,Y.C.Chang,andH.Chen*“AnActiveandFlexibleCarbon-Nanotube-CoupledMicroelectrodeArray forRecordingElectrocorticograms”, JournalofNeuralEngineering ,vol.8,no.3,2011.(IF=3.295,R=14/76)

11.T.J.Chiu, J.Gong,Y.C.King,C.C.LuandH.Chen* “AnOctagonalDual-gateTransistorwithEnhanced and Adaptable Low-frequency Noise”, IEEEElectronDevice Letters, vol.32, no.1,pp.9-11,2011.(IF=2.754,Rank:29/249,ENGINEERING,ELECTRICAL&ELECTRONIC,Citedno.3)

12.H. Chen*, S. Saïghi and S. Renaud, “Real-time Simulation of Biologically-realisticStochastic Neurons in VLSI”, IEEE Trans. on Neural Networks, vol.21, no.9,p.1511-1517, 2010. (IF = 2.952, Rank : 1/50, COMPUTER SCIENCE, HARDWARE &ARCHITECTURE,Citedno.20)

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TEAAcquisitiondevicesandsolutionforreallifeSettingsNFerveur(TechnologyErgonomicsApplications,Nancy)nicolas.ferveur@teaergo.com

TheCAPTIVSolutiondevelopedbyTEAisabletosynchronizeandfuseawiderangeofdata for the purpose of allowing multi-parameter analysis. The compatible wirelesssensorsareespeciallydesignedforoperationinreal-lifesituations.TEApaysparticularattention to use the most robust and least intrusive wireless devices. The sensorsincludemotioncapture,physiologicalmeasurements(EMG,EEG,ECGetc),eye-tracking,andmanymore.Bios.NicolasFerveurDateofbirth:27/02/1979.NicolasFerveur,R&Dengineer(senior)specializedinelectronicsdesign,softwarecomputing,network,digitalsignalanalysis,Physicsofthesemiconductorsandthecomponents.Mainsactivities:Since2007 TEASARL,Vandoeuvre,France

Developmentofwirelesssensorsandhandheldreceiver(T-Log&T-Sens) Developmentofultrasoundsystemmeasuringbodyfatcomposition(G.E.M.).2006-2007INRIALorraine,Vandoeuvre,FranceDevelopmentofmethodandtoolsforthesynchronizationofmultimodalacquisitionsystems(echographia,sound,video,…).2003-2006MAXMATSARL,Montpellier,FranceElectronicandsoftwaredevelopmentofautomatedbloodanalyzer.Education2000-2003DegreefromtheENSEA,EcoleNormaleSupérieured’ElectroniqueetsesApplications,whichisagraduateschoolinElectricalEngineering,ComputerScienceandTelecommunication(Cergy,France).Publications:BronislawKAPITANIAK,JeanMarieDIROUX,JulienBALMONT,NicolasFERVEUR,BrigitteJEANCOLAS.BIOMECHANICALANALYSISBYCAPTIVMOTIONOFTHEWORKLOADOFSUPERMARKETCASHIERS.MichaelAron,NicolasFerveur,ErwanKerrien,Marie-OdileBerger,YvesLaprie.AcquisitionAndSynchronizationOfMultimodalArticulatoryData.8thAnnualConferenceOfTheInternationalSpeechCommunicationAssociation-Interspeech'07,Aug2007,Antwerpen,Belgium.Pp.1398-1401,2007.<Inria-00165869>

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Walking with Parkinson’s disease: motor activity in daily life assensorimotor coupling between the person and their environment. -AninterdisciplinarystudyRossParry.

InstitutduCerveauetdelaMoelleÉpinièreFrance

ross.parry@icm-institute.org

Abstract.PatientswithParkinson’sdisease(PD)experiencevarious,complexlocomotordisturbances.Theirwalkingabilitiescanbehighlyvariable.Motorfluctuationsoccurinresponsetoprescribedmedicationandspecificgaitproblemsaswellastransientmotorblocks,referredtoasfreezingofgait,mayalsoariseduringdailylifeactivity.Agreaterunderstanding of such difficulties is required in order develop effective therapeuticstrategies.ThispresentationexaminesPDpatientwalkinginordertocharacterisehowgait patterns emerge as part of a person’s activity in everyday situations. The studydetailed here focuses upon the locomotor activity of fourteen PD patients. Datacollection methods combined first person interviews, ethnographic observations andonboardmeasuresofphysiologicalandbiomechanicalperformance.Theresultsofthisinvestigation identified important changes inpatient sensorimotorperception, aswellas specific principles regarding the organisation of patient locomotor behaviourwithrespect to their environment. Analysis revealed characteristic changes to lower limbmuscle activation patterns, most notably a general prolongation of muscle activityduring the mid-stance phase of gait; and an increase in cocontraction of agonist-antagonist muscles across the ankle and knee whilst the leg was in contact with theground.Thesechangesmaybe interpretedasaneuromuscularadaptation to increasepostural stability and would appear to contribute to the emergence of specificParkinsoniangaitdisturbancessuchasashufflinggaitandfreezingofgait.

Bio.RossParryisPhDcandidat eofUniversitéPierreetMarieCurie.BasedattheParisBrainandSpineinstitute,hisPhDprojectinvolvesstudying human gait in real life situations. Prior to undertakingpostgraduatestudies,Rossworkedasanoccupationaltherapist.

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VideogamestoalleviategaitandbalancedisordersinpatientswithParkinson'sdisease:afeasibilityandacceptabilitystudyDijanaNUIC1,MariaVINTI1,CarineKARACHI1,2,3,PierreFOULON1,4,AngèleVANHAMME1,Marie-LaureWELTER1,2,51:LabComBraine-Novation,Institutducerveauetdelamoelleépinière,ICM,75013Paris,France2:Inserm,U1127,Sorbonneuniversités,UPMCUniversitéParis06,UMRS1127,CNRS,UMR7225,75013,Paris,France3:ServicedeNeurochirurgie,HôpitaldelaSalpêtrière,GroupeHospitalierPitié-Salpêtrière,APHP,75013Paris,France4:GroupeGENIOUS,34000Montpellier,France5:FédérationdesMaladiesduSystèmeNerveux,GroupeHospitalierPitié-Salpêtrière,APHP,75013Paris,FranceKeywords:Parkinson'sdisease;Seriousgames;Falls;FreezingofgaitIntroduction: Parkinson's disease (PD) is a neurodegenerative disease leading to gaitand balance disorders with falls. No effective treatment exists to alleviate thesedisabling motor signs. In this study, we evaluated the feasibility/acceptability of arehabilitationprogrambasedona seriousgames (therapeuticvideogame) training in10PDpatientswithfreezingofgait(FOG)andfalls.Materialandmethods:TenPDpatients(age:65±6.8years,diseaseduration:17.7±6.4years)with FOG and falls unresponsive to antiparkinsonian drug treatment and deepbrainstimulationofthesubthalamicnucleuswereincluded.Thepatientsperformed18trainingsessions(2-3/week)byusingtheKinectmotioncapturesystem(MicrosoftTM)with a specific video game. Outcome measures included acceptability and feasibilityscales,clinicalandbiomechanicalanalysisofgaitandbalance.Results:Preliminaryresultsshowaverygoodfeasibility/acceptabilityofthetherapeuticvideo game, with a significant decrease of the FOG and the fear of falling after 18trainingsessions.Biomechanicalanalysisshowsan improvement inpreparationphaseof gait initiation, specifically a decrease in anticipatory postural adjustments time.Duringtheexecutionphase,thelengthandvelocityofthefirststepwereimprovedwithadecreaseinthedouble-stanceduration.Thesemotorchangeswerenotmaintained3monthsafterthelastgamesession.Discussion-Conclusion: This preliminary study suggests that therapeutic video gamesarefeasible,wellaccepted,andeffectiveinalleviatinggaitandbalancedisordersinthesevereformsofPD.Bios.Name:NUICDijana�Dateofbirth:23/10/1986Professionaladdress:InstitutduCerveauetdelaMoelleépinière(ICM)47boulevarddel’hôpital,75013,Paris,France��Phone:+33(0)157274250�Email:dijana.nuic@icm-institute.org�Currentposition:PhDstudentinBRAINe-NOVATIONlabatICM(UPMC)�

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Previousposition:2015-2016Researchengineer(BRAINe-NOVATION,ICM,Paris,France)2011-2012Physiotherapist(PoliklinikaTabain,Omis,Croatia)�Diploma:�2015Master’sdegree:Motorcontrol,UniversityofParis-Sud(MasterContrôlemoteur,UniversitéParis-Sud11),France2014Master’sdegree:Aging,Handicap:MovementandAdaptationUniversityofParis-Sud(MasterVHMA,UniversitéParis-Sud11),France2009Bachelor’sdegree,Physiotherapy,Split,Croatia�