Augmenting Motor Imagery Learning for Brain-Computer Interfacing Using Electrical Stimulation as Feedback

Brain-computer Interfaces (BCI) and Functional electrical stimulation (FES) contribute significantly to induce cortical learning and to elicit peripheral neuronal activation processes and thus, are highly effective to promote motor recovery. This study aims at understanding the effect of FES as a ne...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on medical robotics and bionics Ročník 1; číslo 4; s. 247 - 255
Hlavní autoři: Bhattacharyya, Saugat, Clerc, Maureen, Hayashibe, Mitsuhiro
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.11.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Brain-computer interfaces
Brain-computer interfacing
Cognitive science
common spatial patterns
Computer Science
Electroencephalography
Emerging Technologies
Emulation
Feedback
functional electrical stimulation
Human-Computer Interaction
Human-computer interface
Imagery
Learning
motor imagery
Neuromuscular stimulation
Neuroscience
Rehabilitation
Signal and Image Processing
Stimulation
Systems and Control
ISSN:2576-3202, 2576-3202
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Brain-computer Interfaces (BCI) and Functional electrical stimulation (FES) contribute significantly to induce cortical learning and to elicit peripheral neuronal activation processes and thus, are highly effective to promote motor recovery. This study aims at understanding the effect of FES as a neural feedback and its influence on the learning process for motor imagery tasks while comparing its performance with a classical visual feedback protocol. The participants were randomly separated into two groups: one group was provided with visual feedback (VIS) while the other received electrical stimulation (FES) as feedback. Both groups performed various motor imagery tasks while feedback was provided in form of a bi-directional bar for VIS group and targeted electrical stimulation on the upper and lower limbs for FES group. The results shown in this paper suggest that the FES based feedback is more intuitive to the participants, hence, the superior results as compared to the visual feedback. The results suggest that the convergence of BCI with FES modality could improve the learning of the patients both in terms of accuracy and speed and provide a practical solution to the BCI learning process in rehabilitation.
AbstractList Brain-computer Interfaces (BCI) and Functional electrical stimulation (FES) contribute significantly to induce cortical learning and to elicit peripheral neuronal activation processes and thus, are highly effective to promote motor recovery. This study aims at understanding the effect of FES as a neural feedback and its influence on the learning process for motor imagery tasks while comparing its performance with a classical visual feedback protocol. The participants were randomly separated into two groups: one group was provided with visual feedback (VIS) while the other received electrical stimulation (FES) as feedback. Both groups performed various motor imagery tasks while feedback was provided in form of a bi-directional bar for VIS group and targeted electrical stimulation on the upper and lower limbs for FES group. The results shown in this paper suggest that the FES based feedback is more intuitive to the participants, hence, the superior results as compared to the visual feedback. The results suggest that the convergence of BCI with FES modality could improve the learning of the patients both in terms of accuracy and speed and provide a practical solution to the BCI learning process in rehabilitation.
Author Hayashibe, Mitsuhiro
Bhattacharyya, Saugat
Clerc, Maureen
Author_xml – sequence: 1
  givenname: Saugat
  orcidid: 0000-0001-9191-3670
  surname: Bhattacharyya
  fullname: Bhattacharyya, Saugat
  email: saugatbhattacharyya@live.com
  organization: BCI-NE Lab, University of Essex, Colchester, U.K
– sequence: 2
  givenname: Maureen
  orcidid: 0000-0002-2197-2234
  surname: Clerc
  fullname: Clerc, Maureen
  organization: Athena Project Team, Inria Sophia Antipolis-Méditerranée, Valbonne, France
– sequence: 3
  givenname: Mitsuhiro
  orcidid: 0000-0001-6179-5706
  surname: Hayashibe
  fullname: Hayashibe, Mitsuhiro
  email: mitsuhiro.hayashibe@inria.fr
  organization: Department of Robotics, Tohoku University, Sendai, Japan
BackLink https://inria.hal.science/hal-02401304$$DView record in HAL
BookMark eNp9kUtP3DAUha2KSgXKD0DdRGLFIlO_4sTLYTQ8pEGVCqwtx7meGhJ7cBwk_j1OB6GKRTfX1vF37rXuOUIHPnhA6JTgBSFY_ry__X2xoJjIBZVcNhX_gg5pVYuSUUwP_rl_Qyfj-IgxpqTCNROHyC2n7QA-Ob8tbkMKsbgZ9Bbia7EBHf0s2yxeRO18uQrDbkqQGZ-r1WZ-fhjnuu7BpOiM7ou75Iap18kFX-ixuAToWm2evqOvVvcjnLyfx-jhcn2_ui43v65uVstNaTgTqbRSdLzlGminRWW7LELTSEswtFpYoII32ErGsaR1zUxrjJGSma5rbUuEZMfofN_3j-7VLrpBx1cVtFPXy42aNUw5JgzzF5LZsz27i-F5gjGpxzBFn7-nKKOcCFpjkSmyp0wM4xjBfrQlWM0BqDkANQeg3gPInvqTx7j0dycpr7L_r_PH3ukA4GNS0zSc0Iq9Ac9BlUo
CODEN ITMRBT
CitedBy_id crossref_primary_10_3389_fnins_2021_732545
crossref_primary_10_3390_brainsci11111393
crossref_primary_10_1109_TNSRE_2020_3001990
crossref_primary_10_1186_s12938_020_00824_w
crossref_primary_10_1038_s41598_023_44621_6
crossref_primary_10_1109_TBME_2022_3202189
crossref_primary_10_1088_2057_1976_ac2077
crossref_primary_10_1109_ACCESS_2025_3595953
crossref_primary_10_3389_fbioe_2023_917328
crossref_primary_10_3389_fnsys_2021_578875
crossref_primary_10_1109_TNSRE_2024_3502135
crossref_primary_10_1016_j_ifacol_2023_10_296
Cites_doi 10.1161/01.STR.31.6.1360
10.1016/S0304-3940(03)00947-9
10.1109/ROBIO.2014.7090671
10.3390/s120201211
10.1162/pres.19.1.35
10.1016/j.jneumeth.2009.04.005
10.1109/TBME.2013.2253777
10.1109/EMBC.2013.6610195
10.3389/fnins.2010.00161
10.1016/j.jelekin.2014.09.008
10.1109/CCMB.2011.5952105
10.1006/nimg.1997.0261
10.1109/JAS.2017.7510616
10.1109/MSP.2010.936774
10.1109/IEMBS.2006.259550
10.1109/CONIELECOMP.2014.6808561
10.1109/TNSRE.2014.2312270
10.1016/j.clinph.2010.05.022
10.1109/TSMC.2016.2560532
10.1016/j.jneumeth.2013.03.026
10.1109/SMC.2016.7844670
10.1109/TNSRE.2014.2355856
10.1109/86.895946
10.1109/86.895956
10.1109/TBME.2010.2043432
10.1016/S0304-3940(03)00019-3
10.1016/S1388-2457(01)00661-7
10.1109/IEMBS.2007.4353398
10.1109/CBMS.2008.45
10.1109/TNSRE.2008.926694
10.1109/MC.2012.107
10.1109/86.593285
10.1016/j.jelekin.2007.01.001
10.7551/mitpress/7493.001.0001
10.1038/nature05226
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019
Distributed under a Creative Commons Attribution 4.0 International License
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019
– notice: Distributed under a Creative Commons Attribution 4.0 International License
DBID 97E
RIA
RIE
AAYXX
CITATION
7SP
8FD
K9.
L7M
1XC
DOI 10.1109/TMRB.2019.2949854
DatabaseName IEEE Xplore (IEEE)
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
CrossRef
Electronics & Communications Abstracts
Technology Research Database
ProQuest Health & Medical Complete (Alumni)
Advanced Technologies Database with Aerospace
Hyper Article en Ligne (HAL)
DatabaseTitle CrossRef
ProQuest Health & Medical Complete (Alumni)
Technology Research Database
Advanced Technologies Database with Aerospace
Electronics & Communications Abstracts
DatabaseTitleList ProQuest Health & Medical Complete (Alumni)
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Computer Science
EISSN 2576-3202
EndPage 255
ExternalDocumentID oai:HAL:hal-02401304v1
10_1109_TMRB_2019_2949854
8884125
Genre orig-research
GroupedDBID 0R~
97E
AAJGR
AASAJ
AAWTH
ABAZT
ABJNI
ABQJQ
ABVLG
AGQYO
AHBIQ
AKJIK
ALMA_UNASSIGNED_HOLDINGS
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
EBS
EJD
IFIPE
JAVBF
M~E
OCL
RIA
RIE
AAYXX
CITATION
7SP
8FD
K9.
L7M
1XC
ID FETCH-LOGICAL-c436t-f96d4b4ae2da65fd436e889f10eba6fe26480f934092773cbccc993cddbfb1693
IEDL.DBID RIE
ISICitedReferencesCount 14
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000896594800006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2576-3202
IngestDate Tue Oct 14 20:28:48 EDT 2025
Tue Oct 07 07:17:11 EDT 2025
Tue Nov 18 22:11:20 EST 2025
Sat Nov 29 07:05:55 EST 2025
Sat Oct 25 03:12:33 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 4
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c436t-f96d4b4ae2da65fd436e889f10eba6fe26480f934092773cbccc993cddbfb1693
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0001-6179-5706
0000-0002-2197-2234
0000-0001-9191-3670
OpenAccessLink https://pure.ulster.ac.uk/en/publications/a3c2aa84-0fff-4d9f-ad7c-9d3520943a4e
PQID 2324162706
PQPubID 4437212
PageCount 9
ParticipantIDs hal_primary_oai_HAL_hal_02401304v1
crossref_citationtrail_10_1109_TMRB_2019_2949854
ieee_primary_8884125
crossref_primary_10_1109_TMRB_2019_2949854
proquest_journals_2324162706
PublicationCentury 2000
PublicationDate 2019-11-01
PublicationDateYYYYMMDD 2019-11-01
PublicationDate_xml – month: 11
  year: 2019
  text: 2019-11-01
  day: 01
PublicationDecade 2010
PublicationPlace Piscataway
PublicationPlace_xml – name: Piscataway
PublicationTitle IEEE transactions on medical robotics and bionics
PublicationTitleAbbrev TMRB
PublicationYear 2019
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref35
ref13
ref34
ref12
ref15
ref14
ref31
alpaydin (ref37) 2004
ref30
ref33
ref11
ref32
ref10
ref2
ref1
ref17
ref16
ref18
wang (ref36) 2005
liepert (ref19) 2010; 11
ref24
ref23
ref26
ref25
ref20
corder (ref39) 2009
ref22
ref21
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
corder (ref38) 2009
ref40
References_xml – ident: ref14
  doi: 10.1161/01.STR.31.6.1360
– volume: 11
  start-page: 5
  year: 2010
  ident: ref19
  article-title: Evidence-based methods in motor rehabilitation after stroke
  publication-title: Fortschr Neurol Psychiatr
– ident: ref23
  doi: 10.1016/S0304-3940(03)00947-9
– ident: ref26
  doi: 10.1109/ROBIO.2014.7090671
– ident: ref4
  doi: 10.3390/s120201211
– ident: ref30
  doi: 10.1162/pres.19.1.35
– ident: ref16
  doi: 10.1016/j.jneumeth.2009.04.005
– start-page: 38
  year: 2009
  ident: ref38
  publication-title: Comparing Two Related Samples The Wilcoxon Signed Ranks Test
– ident: ref12
  doi: 10.1109/TBME.2013.2253777
– ident: ref9
  doi: 10.1109/EMBC.2013.6610195
– ident: ref5
  doi: 10.3389/fnins.2010.00161
– start-page: 99
  year: 2009
  ident: ref39
  publication-title: Comparing More Than Two Unrelated Samples The Kruskal-Wallis H-Test
– ident: ref11
  doi: 10.1016/j.jelekin.2014.09.008
– ident: ref34
  doi: 10.1109/CCMB.2011.5952105
– ident: ref25
  doi: 10.1006/nimg.1997.0261
– ident: ref31
  doi: 10.1109/JAS.2017.7510616
– ident: ref1
  doi: 10.1109/MSP.2010.936774
– ident: ref17
  doi: 10.1109/IEMBS.2006.259550
– ident: ref7
  doi: 10.1109/CONIELECOMP.2014.6808561
– ident: ref8
  doi: 10.1109/TNSRE.2014.2312270
– ident: ref18
  doi: 10.1016/j.clinph.2010.05.022
– ident: ref40
  doi: 10.1109/TSMC.2016.2560532
– ident: ref6
  doi: 10.1016/j.jneumeth.2013.03.026
– ident: ref28
  doi: 10.1109/SMC.2016.7844670
– ident: ref27
  doi: 10.1109/TNSRE.2014.2355856
– year: 2004
  ident: ref37
  publication-title: Introduction to Machine Learning
– ident: ref35
  doi: 10.1109/86.895946
– ident: ref13
  doi: 10.1109/86.895956
– ident: ref21
  doi: 10.1109/TBME.2010.2043432
– ident: ref24
  doi: 10.1016/S0304-3940(03)00019-3
– ident: ref32
  doi: 10.1016/S1388-2457(01)00661-7
– ident: ref10
  doi: 10.1109/IEMBS.2007.4353398
– ident: ref22
  doi: 10.1109/CBMS.2008.45
– ident: ref33
  doi: 10.1109/TNSRE.2008.926694
– ident: ref2
  doi: 10.1109/MC.2012.107
– ident: ref15
  doi: 10.1109/86.593285
– ident: ref29
  doi: 10.1016/j.jelekin.2007.01.001
– start-page: 5392
  year: 2005
  ident: ref36
  article-title: Common spatial pattern method for channel selelction in motor imagery based brain-computer interface
  publication-title: Proc 27th Annu Conf IEEE Eng Med Biol
– ident: ref3
  doi: 10.7551/mitpress/7493.001.0001
– ident: ref20
  doi: 10.1038/nature05226
SSID ssj0002150736
Score 2.184468
Snippet Brain-computer Interfaces (BCI) and Functional electrical stimulation (FES) contribute significantly to induce cortical learning and to elicit peripheral...
SourceID hal
proquest
crossref
ieee
SourceType Open Access Repository
Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 247
SubjectTerms Brain-computer interfaces
Brain-computer interfacing
Cognitive science
common spatial patterns
Computer Science
Electroencephalography
Emerging Technologies
Emulation
Feedback
functional electrical stimulation
Human-Computer Interaction
Human-computer interface
Imagery
Learning
motor imagery
Neuromuscular stimulation
Neuroscience
Rehabilitation
Signal and Image Processing
Stimulation
Systems and Control
Title Augmenting Motor Imagery Learning for Brain-Computer Interfacing Using Electrical Stimulation as Feedback
URI https://ieeexplore.ieee.org/document/8884125
https://www.proquest.com/docview/2324162706
https://inria.hal.science/hal-02401304
Volume 1
WOSCitedRecordID wos000896594800006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  customDbUrl:
  eissn: 2576-3202
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002150736
  issn: 2576-3202
  databaseCode: RIE
  dateStart: 20190101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2576-3202
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002150736
  issn: 2576-3202
  databaseCode: M~E
  dateStart: 20190101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1dT9swFL2iiAd4GONL62DImnhCBPLh2PFjmVqBRNHEh8Rb5Dh2qRjtRFukvfDbudd1I6ZNSLxFjh1FOUnuufb1OQAHBimo01keYfxxETeyilTmdGQxFctEZqSNjTebkJeXxd2d-rkER81eGGutLz6zx3To1_LrsZnRVNkJZmscA3ILWlKK-V6tZj4lJWaTibBwmcTq5KZ_dUq1W-o4VVwVOf8r9LTuqfDRO6r88xv2saW3_rG7-gyfAodknTnoG7BkR5uw9kZZcAuGndnAFwKNBqw_xryanT-SWsUfFgRVBwzZKjslg4ho4ezA_PSg04ZO-1oC1vUuOQQku54OH4PXF9MT1sOwV2nzsA23ve7Nj7MouCpEhmdiGjklal5xbdNai9zV2GiLQrkktpUWzlLJW-xUholfKmVmKmMMkhhT15WrSLplB5ZH45H9AswluROFdEiikJjwXFmneV4hxNrhtW0b4sUDL02QHCfni1-lTz1iVRJGJWFUBozacNgM-T3X23iv83dEselHStlnnYuS2ki6DcMzf07asEWYNb0CXG3YW4Behs92UhK9TEQqY_H1_6N2YZVuYL4ZcQ-Wp08z-w1WzPN0OHnah1b_pbvv38tX-zDhIQ
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1da9swFL30C7Y9tGu7saztJsqeytz6Q5atx3Q0pCwJpcugb0KWpSxsTUaTFPbvd6-imJWVQt-MLBnjY_ueK12dA_DJIAV1OssjjD8u4qaoIpk5HVlMxTKRmcLGxptNFINBeXMjr9bgc7MXxlrri8_sKR36tfx6ahY0VXaG2RrHgLwOm-ScFXZrNTMqKXGbTISlyySWZ8P-9TlVb8nTVHJZ5vxB8Fn_QaWP3lPlvx-xjy6dnefd12vYDiyStZew78KanezBq3-0Bfdh3F6MfCnQZMT6U8ys2eUt6VX8YUFSdcSQr7JzsoiIVt4OzE8QOm3otK8mYBfeJ4egZN_m49vg9sX0jHUw8FXa_HwD3zsXwy_dKPgqRIZnYh45KWpecW3TWovc1dhoy1K6JLaVFs5S0VvsZIapX1oUmamMMUhjTF1XriLxlrewMZlO7DtgLsmdKAuHNAqpCc-ldZrnFYKsHV7btiBePXBlgug4eV_8Uj75iKUijBRhpAJGLThphvxeKm481fkYUWz6kVZ2t91T1EbibRig-X3Sgn3CrOkV4GrB4Qp0FT7cmSKCmYi0iMX7x0d9hBfdYb-nepeDrwfwkm5muTXxEDbmdwt7BFvmfj6e3X3wb-dfhcbjOQ
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Augmenting+Motor+Imagery+Learning+for+Brain%E2%80%93Computer+Interfacing+Using+Electrical+Stimulation+as+Feedback&rft.jtitle=IEEE+transactions+on+medical+robotics+and+bionics&rft.au=Bhattacharyya%2C+Saugat&rft.au=Clerc%2C+Maureen&rft.au=Hayashibe%2C+Mitsuhiro&rft.date=2019-11-01&rft.pub=The+Institute+of+Electrical+and+Electronics+Engineers%2C+Inc.+%28IEEE%29&rft.eissn=2576-3202&rft.volume=1&rft.issue=4&rft.spage=247&rft_id=info:doi/10.1109%2FTMRB.2019.2949854&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2576-3202&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2576-3202&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2576-3202&client=summon