Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review

Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literature on the us...

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Published inJournal of neuroengineering and rehabilitation Vol. 18; no. 1; p. 15
Main Authors Baniqued, Paul Dominick E, Stanyer, Emily C, Awais, Muhammad, Alazmani, Ali, Jackson, Andrew E, Mon-Williams, Mark A, Mushtaq, Faisal, Holt, Raymond J
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 23.01.2021
BioMed Central
BMC
Subjects
Activities of daily living
Automation
Brain research
Brain–computer interface
Care and treatment
Discriminant analysis
Display devices
EEG
Electroencephalography
Feedback
Hand
Hand (anatomy)
Heterogeneity
Human-computer interface
Imagery
Interfaces
Medical equipment
Medical research
Medicine, Experimental
Mental task performance
Motor imagery
Motor skill
Neural networks
Patients
Physiology
Rehabilitation
Rehabilitation technology
Review
Robot control
Robotics
Robots
Signal processing
Statistical analysis
Stroke
Stroke patients
Systematic review
Therapists
Therapy
Wavelet transforms
United Kingdom
Stroke
Motor imagery
Rehabilitation
EEG
Robotics
Brain–computer interface
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Abstract Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literature on the use of BCI-robot systems for the rehabilitation of fine motor skills associated with hand movement and profile these systems from a technical and clinical perspective. A search for January 2010-October 2019 articles using Ovid MEDLINE, Embase, PEDro, PsycINFO, IEEE Xplore and Cochrane Library databases was performed. The selection criteria included BCI-hand robotic systems for rehabilitation at different stages of development involving tests on healthy participants or people who have had a stroke. Data fields include those related to study design, participant characteristics, technical specifications of the system, and clinical outcome measures. 30 studies were identified as eligible for qualitative review and among these, 11 studies involved testing a BCI-hand robot on chronic and subacute stroke patients. Statistically significant improvements in motor assessment scores relative to controls were observed for three BCI-hand robot interventions. The degree of robot control for the majority of studies was limited to triggering the device to perform grasping or pinching movements using motor imagery. Most employed a combination of kinaesthetic and visual response via the robotic device and display screen, respectively, to match feedback to motor imagery. 19 out of 30 studies on BCI-robotic systems for hand rehabilitation report systems at prototype or pre-clinical stages of development. We identified large heterogeneity in reporting and emphasise the need to develop a standard protocol for assessing technical and clinical outcomes so that the necessary evidence base on efficiency and efficacy can be developed.
AbstractList Background Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literature on the use of BCI-robot systems for the rehabilitation of fine motor skills associated with hand movement and profile these systems from a technical and clinical perspective. Methods A search for January 2010-October 2019 articles using Ovid MEDLINE, Embase, PEDro, PsycINFO, IEEE Xplore and Cochrane Library databases was performed. The selection criteria included BCI-hand robotic systems for rehabilitation at different stages of development involving tests on healthy participants or people who have had a stroke. Data fields include those related to study design, participant characteristics, technical specifications of the system, and clinical outcome measures. Results 30 studies were identified as eligible for qualitative review and among these, 11 studies involved testing a BCI-hand robot on chronic and subacute stroke patients. Statistically significant improvements in motor assessment scores relative to controls were observed for three BCI-hand robot interventions. The degree of robot control for the majority of studies was limited to triggering the device to perform grasping or pinching movements using motor imagery. Most employed a combination of kinaesthetic and visual response via the robotic device and display screen, respectively, to match feedback to motor imagery. Conclusion 19 out of 30 studies on BCI-robotic systems for hand rehabilitation report systems at prototype or pre-clinical stages of development. We identified large heterogeneity in reporting and emphasise the need to develop a standard protocol for assessing technical and clinical outcomes so that the necessary evidence base on efficiency and efficacy can be developed. Keywords: Brain-computer interface, EEG, Robotics, Rehabilitation, Motor imagery, Stroke
Background Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literature on the use of BCI-robot systems for the rehabilitation of fine motor skills associated with hand movement and profile these systems from a technical and clinical perspective. Methods A search for January 2010–October 2019 articles using Ovid MEDLINE, Embase, PEDro, PsycINFO, IEEE Xplore and Cochrane Library databases was performed. The selection criteria included BCI-hand robotic systems for rehabilitation at different stages of development involving tests on healthy participants or people who have had a stroke. Data fields include those related to study design, participant characteristics, technical specifications of the system, and clinical outcome measures. Results 30 studies were identified as eligible for qualitative review and among these, 11 studies involved testing a BCI-hand robot on chronic and subacute stroke patients. Statistically significant improvements in motor assessment scores relative to controls were observed for three BCI-hand robot interventions. The degree of robot control for the majority of studies was limited to triggering the device to perform grasping or pinching movements using motor imagery. Most employed a combination of kinaesthetic and visual response via the robotic device and display screen, respectively, to match feedback to motor imagery. Conclusion 19 out of 30 studies on BCI-robotic systems for hand rehabilitation report systems at prototype or pre-clinical stages of development. We identified large heterogeneity in reporting and emphasise the need to develop a standard protocol for assessing technical and clinical outcomes so that the necessary evidence base on efficiency and efficacy can be developed.
Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literature on the use of BCI-robot systems for the rehabilitation of fine motor skills associated with hand movement and profile these systems from a technical and clinical perspective. A search for January 2010-October 2019 articles using Ovid MEDLINE, Embase, PEDro, PsycINFO, IEEE Xplore and Cochrane Library databases was performed. The selection criteria included BCI-hand robotic systems for rehabilitation at different stages of development involving tests on healthy participants or people who have had a stroke. Data fields include those related to study design, participant characteristics, technical specifications of the system, and clinical outcome measures. 30 studies were identified as eligible for qualitative review and among these, 11 studies involved testing a BCI-hand robot on chronic and subacute stroke patients. Statistically significant improvements in motor assessment scores relative to controls were observed for three BCI-hand robot interventions. The degree of robot control for the majority of studies was limited to triggering the device to perform grasping or pinching movements using motor imagery. Most employed a combination of kinaesthetic and visual response via the robotic device and display screen, respectively, to match feedback to motor imagery. 19 out of 30 studies on BCI-robotic systems for hand rehabilitation report systems at prototype or pre-clinical stages of development. We identified large heterogeneity in reporting and emphasise the need to develop a standard protocol for assessing technical and clinical outcomes so that the necessary evidence base on efficiency and efficacy can be developed.
Abstract Background Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literature on the use of BCI-robot systems for the rehabilitation of fine motor skills associated with hand movement and profile these systems from a technical and clinical perspective. Methods A search for January 2010–October 2019 articles using Ovid MEDLINE, Embase, PEDro, PsycINFO, IEEE Xplore and Cochrane Library databases was performed. The selection criteria included BCI-hand robotic systems for rehabilitation at different stages of development involving tests on healthy participants or people who have had a stroke. Data fields include those related to study design, participant characteristics, technical specifications of the system, and clinical outcome measures. Results 30 studies were identified as eligible for qualitative review and among these, 11 studies involved testing a BCI-hand robot on chronic and subacute stroke patients. Statistically significant improvements in motor assessment scores relative to controls were observed for three BCI-hand robot interventions. The degree of robot control for the majority of studies was limited to triggering the device to perform grasping or pinching movements using motor imagery. Most employed a combination of kinaesthetic and visual response via the robotic device and display screen, respectively, to match feedback to motor imagery. Conclusion 19 out of 30 studies on BCI-robotic systems for hand rehabilitation report systems at prototype or pre-clinical stages of development. We identified large heterogeneity in reporting and emphasise the need to develop a standard protocol for assessing technical and clinical outcomes so that the necessary evidence base on efficiency and efficacy can be developed.
Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literature on the use of BCI-robot systems for the rehabilitation of fine motor skills associated with hand movement and profile these systems from a technical and clinical perspective. A search for January 2010-October 2019 articles using Ovid MEDLINE, Embase, PEDro, PsycINFO, IEEE Xplore and Cochrane Library databases was performed. The selection criteria included BCI-hand robotic systems for rehabilitation at different stages of development involving tests on healthy participants or people who have had a stroke. Data fields include those related to study design, participant characteristics, technical specifications of the system, and clinical outcome measures. 30 studies were identified as eligible for qualitative review and among these, 11 studies involved testing a BCI-hand robot on chronic and subacute stroke patients. Statistically significant improvements in motor assessment scores relative to controls were observed for three BCI-hand robot interventions. The degree of robot control for the majority of studies was limited to triggering the device to perform grasping or pinching movements using motor imagery. Most employed a combination of kinaesthetic and visual response via the robotic device and display screen, respectively, to match feedback to motor imagery. 19 out of 30 studies on BCI-robotic systems for hand rehabilitation report systems at prototype or pre-clinical stages of development. We identified large heterogeneity in reporting and emphasise the need to develop a standard protocol for assessing technical and clinical outcomes so that the necessary evidence base on efficiency and efficacy can be developed.
Abstract Background Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literature on the use of BCI-robot systems for the rehabilitation of fine motor skills associated with hand movement and profile these systems from a technical and clinical perspective. Methods A search for January 2010–October 2019 articles using Ovid MEDLINE, Embase, PEDro, PsycINFO, IEEE Xplore and Cochrane Library databases was performed. The selection criteria included BCI-hand robotic systems for rehabilitation at different stages of development involving tests on healthy participants or people who have had a stroke. Data fields include those related to study design, participant characteristics, technical specifications of the system, and clinical outcome measures. Results 30 studies were identified as eligible for qualitative review and among these, 11 studies involved testing a BCI-hand robot on chronic and subacute stroke patients. Statistically significant improvements in motor assessment scores relative to controls were observed for three BCI-hand robot interventions. The degree of robot control for the majority of studies was limited to triggering the device to perform grasping or pinching movements using motor imagery. Most employed a combination of kinaesthetic and visual response via the robotic device and display screen, respectively, to match feedback to motor imagery. Conclusion 19 out of 30 studies on BCI-robotic systems for hand rehabilitation report systems at prototype or pre-clinical stages of development. We identified large heterogeneity in reporting and emphasise the need to develop a standard protocol for assessing technical and clinical outcomes so that the necessary evidence base on efficiency and efficacy can be developed.
BACKGROUNDHand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literature on the use of BCI-robot systems for the rehabilitation of fine motor skills associated with hand movement and profile these systems from a technical and clinical perspective.METHODSA search for January 2010-October 2019 articles using Ovid MEDLINE, Embase, PEDro, PsycINFO, IEEE Xplore and Cochrane Library databases was performed. The selection criteria included BCI-hand robotic systems for rehabilitation at different stages of development involving tests on healthy participants or people who have had a stroke. Data fields include those related to study design, participant characteristics, technical specifications of the system, and clinical outcome measures.RESULTS30 studies were identified as eligible for qualitative review and among these, 11 studies involved testing a BCI-hand robot on chronic and subacute stroke patients. Statistically significant improvements in motor assessment scores relative to controls were observed for three BCI-hand robot interventions. The degree of robot control for the majority of studies was limited to triggering the device to perform grasping or pinching movements using motor imagery. Most employed a combination of kinaesthetic and visual response via the robotic device and display screen, respectively, to match feedback to motor imagery.CONCLUSION19 out of 30 studies on BCI-robotic systems for hand rehabilitation report systems at prototype or pre-clinical stages of development. We identified large heterogeneity in reporting and emphasise the need to develop a standard protocol for assessing technical and clinical outcomes so that the necessary evidence base on efficiency and efficacy can be developed.
ArticleNumber 15
Audience Academic
Author Stanyer, Emily C
Mon-Williams, Mark A
Mushtaq, Faisal
Baniqued, Paul Dominick E
Holt, Raymond J
Jackson, Andrew E
Awais, Muhammad
Alazmani, Ali
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/33485365$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1161/STROKEAHA.116.016304
10.1016/S1388-2457(99)00141-8
10.1109/EMBC.2018.8512547
10.1080/03323310600950411
10.3389/fneng.2014.00030
10.1016/j.pmrj.2018.06.005
10.3389/fnins.2012.00039
10.1109/TBME.2010.2082539
10.1006/nimg.2001.0832
10.1109/IROS.2006.281778
10.1109/MRA.2008.928304
10.1177/1545968310368683
10.1186/1743-0003-6-20
10.1152/jn.00762.2018
10.1097/00146965-200603000-00003
10.1016/B978-072343285-2.50007-3
10.1371/journal.pone.0085192
10.3389/fnbot.2019.00007
10.1152/jn.00467.2013
10.1088/1741-2552/ab2b61
10.1109/TNSRE.2019.2908125
10.1016/j.neuroscience.2019.07.037
10.1007/BF01797193
10.1523/JNEUROSCI.3303-16.2017
10.1136/jnnp-2016-314728
10.1177/155005941104200410
10.3389/fnins.2011.00039
10.1166/asl.2018.12357
10.3389/fncom.2019.00080
10.1109/ICVR.2015.7358592
10.1371/journal.pone.0224055
10.1016/j.brs.2016.11.003
10.1109/JBHI.2018.2863212
10.5772/67519
10.1109/VITAE.2014.6934416
10.1109/MWSCAS.2016.7870163
10.1155/2019/7084618
10.1007/978-3-642-02091-9_1
10.3390/e16126553
10.4102/sajp.v75i1.475
10.2340/1650197771331
10.1016/j.neuroimage.2016.03.016
10.1016/j.neubiorev.2018.08.003
10.1186/1472-6963-14-216
10.1088/1741-2552/ab260c
10.3389/fnbot.2019.00034
10.1016/j.neuroscience.2013.12.005
10.1109/ICORR.2015.7281174
10.1109/JSEN.2019.2912688
10.1038/nature04970
10.1088/0967-3334/36/7/1469
10.1186/1743-0003-10-24
10.3758/s13428-019-01242-0
10.3389/fnhum.2013.00564
10.7551/mitpress/9609.001.0001
10.1016/j.neuroimage.2015.01.058
10.1146/annurev.bb.02.060173.001105
10.3389/fnhum.2017.00499
10.1016/j.neuroimage.2018.09.012
10.1016/j.pmrj.2017.04.016
10.1109/PAHCE.2015.7173328
10.1016/S0165-0173(01)00092-3
10.1109/TBME.2011.2131142
10.1093/acprof:oso/9780195388855.001.0001
10.1109/APSIPA.2016.7820761
10.1109/LRA.2017.2771329
10.1038/18581
10.3389/fnhum.2016.00692
10.1002/hbm.23730
10.1016/j.nicl.2017.03.005
10.1016/0022-510X(77)90205-2
10.1016/j.irbm.2018.02.001
10.3389/frobt.2019.00043
10.1016/j.neuropsychologia.2018.04.016
10.1097/00004356-198112000-00001
10.1155/2018/9758939
10.1109/I2MTC.2014.6860961
10.3389/fnhum.2013.00807
10.1109/TCDS.2017.2787040
10.1097/WCO.0000000000000025
10.1016/j.neuroimage.2014.12.026
10.1016/j.apmr.2012.11.031
10.1155/2017/3908135
10.1002/14651858.CD008349.pub4
10.1111/psyp.12536
10.1186/1743-0003-11-165
10.1007/s00702-007-0763-z
10.1109/ISCE.2012.6241718
10.1371/journal.pone.0047048
10.3389/fneur.2018.00810
10.2340/16501977-2229
10.1007/978-3-030-04491-6_10
10.1177/0954411918755828
10.1088/1741-2552/aad724
10.1101/224618
10.1109/EHB.2015.7391389
10.1093/ptj/83.8.713
10.3389/fnins.2017.00400
10.1109/TNSRE.2016.2597157
10.1161/STROKEAHA.115.012520
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Issue 1
Keywords Stroke
Motor imagery
Rehabilitation
EEG
Robotics
Brain–computer interface
Language English
License Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
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PublicationTitle Journal of neuroengineering and rehabilitation
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References T Kim (820_CR43) 2017; 11
F Lotte (820_CR30) 2011; 58
820_CR56
F Mawase (820_CR20) 2017; 37
820_CR58
820_CR51
820_CR54
S Vogt (820_CR40) 2013; 7
F Cincotti (820_CR62) 2012; 2012
820_CR103
820_CR106
T Mulder (820_CR39) 2007; 114
G Quattrocchi (820_CR124) 2016; 88
K Takahashi (820_CR16) 2016; 47
DL Eaves (820_CR42) 2016; 10
M Bergamasco (820_CR60) 2011; 2011
L Marchal-Crespo (820_CR37) 2009; 6
A Chowdhury (820_CR87) 2015; 2015
820_CR6
L Randazzo (820_CR90) 2018; 3
R Bauer (820_CR97) 2015; 108
M Vukelic (820_CR99) 2015; 111
BR Ballester (820_CR112) 2019; 1
820_CR45
820_CR47
J Saab (820_CR115) 2011
820_CR110
820_CR111
F Hülsmann (820_CR49) 2019; 6
E Abdalsalam (820_CR116) 2017
820_CR117
CE King (820_CR104) 2011; 2011
820_CR107
820_CR109
AR Fugl-Meyer (820_CR53) 1975; 7
A Sarasola-Sanz (820_CR71) 2017; 2017
G McHugh (820_CR1) 2014; 14
AC McConnell (820_CR52) 2017; 49
MJ Johnson (820_CR122) 2008; 15
CD Holmes (820_CR93) 2012; 2012
JR Wolpaw (820_CR4) 2012
MV Manguerra (820_CR3) 2018; 24
G Tacchino (820_CR91) 2017; 25
RM Hardwick (820_CR33) 2018; 1
820_CR118
R Chaudhari (820_CR108) 2017; 11
820_CR119
SL Norman (820_CR82) 2018; 15
M Li (820_CR88) 2019; 13
AA Frolov (820_CR80) 2017; 11
RB Schirrmeister (820_CR32) 2017; 38
820_CR27
820_CR29
G Pellegrino (820_CR68) 2012; 30
820_CR22
T Ono (820_CR74) 2013; 2013
820_CR21
JWY Kam (820_CR113) 2019; 184
DT Bundy (820_CR77) 2017; 48
Y Ono (820_CR100) 2018; 114
N Sharma (820_CR35) 2013; 7
A Houwink (820_CR15) 2013; 94
MV Ntsiea (820_CR2) 2019; 75
S Silvoni (820_CR8) 2011; 42
D Rathee (820_CR65) 2019; 27
820_CR12
Y Roy (820_CR31) 2019; 16
D Broetz (820_CR61) 2010; 24
A Chowdhury (820_CR79) 2018; 22
KE Mathewson (820_CR114) 2017; 54
820_CR13
S Fok (820_CR102) 2011; 2011
820_CR14
820_CR10
A Ramos-Murguialday (820_CR95) 2012; 7
SR Zeiler (820_CR19) 2013; 26
P Belardinelli (820_CR59) 2017; 14
820_CR94
CG Maher (820_CR57) 2003; 83
J Brookes (820_CR38) 2020; 15
F Shiman (820_CR72) 2015; 2015
CL Friesen (820_CR41) 2017; 10
M Li (820_CR23) 2018; 232
X Wang (820_CR83) 2018; 9
F Molteni (820_CR11) 2018; 10
M Jeannerod (820_CR36) 2001; 14
820_CR86
G Naros (820_CR66) 2017; 10
820_CR81
RI Carino-Escobar (820_CR85) 2019; 2019
WB Matthews (820_CR55) 1977; 33
K Liao (820_CR121) 2014; 9
J Brookes (820_CR46) 2019
G Pfurtscheller (820_CR24) 1999; 110
AL Coffey (820_CR92) 2014; 2014
H Nakano (820_CR44) 2017
F Fregni (820_CR17) 2006; 19
E Formaggio (820_CR70) 2013; 10
820_CR78
A Ramos-Murguialday (820_CR96) 2015; 113
820_CR76
KK Ang (820_CR105) 2012; 6
LR Hochberg (820_CR7) 2006; 442
M Arvaneh (820_CR123) 2011; 58
A Muralidharan (820_CR73) 2011; 5
N Birbaumer (820_CR9) 1999; 398
L Xu (820_CR34) 2014; 261
M Hallett (820_CR18) 2001; 36
J Zhang (820_CR89) 2019; 13
820_CR67
X Jiang (820_CR25) 2019; 19
A Kilicarslan (820_CR28) 2019; 16
820_CR63
820_CR64
JJ Vidal (820_CR5) 1973; 2
M Johnston (820_CR48) 2007; 29
R Srinivasan (820_CR120) 1999; 1
M Witkowski (820_CR101) 2014; 11
S Tsuchimoto (820_CR84) 2019; 416
N Mammone (820_CR26) 2014; 16
R Bousseta (820_CR69) 2018; 39
KK Ang (820_CR75) 2014; 7
G Naros (820_CR98) 2016; 134
E Monge-Pereira (820_CR50) 2017; 9
References_xml – volume: 48
  start-page: 1908
  year: 2017
  ident: 820_CR77
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.116.016304
  contributor:
    fullname: DT Bundy
– volume: 1
  start-page: 102
  year: 1999
  ident: 820_CR120
  publication-title: Int J Bioelectromagn
  contributor:
    fullname: R Srinivasan
– volume: 110
  start-page: 1842
  year: 1999
  ident: 820_CR24
  publication-title: Clin Neurophysiol.
  doi: 10.1016/S1388-2457(99)00141-8
  contributor:
    fullname: G Pfurtscheller
– ident: 820_CR29
  doi: 10.1109/EMBC.2018.8512547
– volume: 29
  start-page: 1117
  year: 2007
  ident: 820_CR48
  publication-title: Disabil Rehabil
  doi: 10.1080/03323310600950411
  contributor:
    fullname: M Johnston
– volume: 7
  start-page: 30
  year: 2014
  ident: 820_CR75
  publication-title: Front Neuroeng
  doi: 10.3389/fneng.2014.00030
  contributor:
    fullname: KK Ang
– volume: 10
  start-page: S174
  year: 2018
  ident: 820_CR11
  publication-title: PM&R
  doi: 10.1016/j.pmrj.2018.06.005
  contributor:
    fullname: F Molteni
– volume: 2017
  start-page: 895
  year: 2017
  ident: 820_CR71
  publication-title: IEEE Int Conf Rehabil Robot
  contributor:
    fullname: A Sarasola-Sanz
– volume: 6
  start-page: 39
  year: 2012
  ident: 820_CR105
  publication-title: Front Neurosci
  doi: 10.3389/fnins.2012.00039
  contributor:
    fullname: KK Ang
– ident: 820_CR12
– volume: 58
  start-page: 355
  year: 2011
  ident: 820_CR30
  publication-title: IEEE Trans Biomed Eng
  doi: 10.1109/TBME.2010.2082539
  contributor:
    fullname: F Lotte
– ident: 820_CR58
– volume: 14
  start-page: S103
  year: 2001
  ident: 820_CR36
  publication-title: NeuroImage
  doi: 10.1006/nimg.2001.0832
  contributor:
    fullname: M Jeannerod
– ident: 820_CR111
  doi: 10.1109/IROS.2006.281778
– volume: 15
  start-page: 16
  year: 2008
  ident: 820_CR122
  publication-title: IEEE Robot Autom Mag
  doi: 10.1109/MRA.2008.928304
  contributor:
    fullname: MJ Johnson
– volume: 24
  start-page: 674
  year: 2010
  ident: 820_CR61
  publication-title: Neurorehabil Neural Repair
  doi: 10.1177/1545968310368683
  contributor:
    fullname: D Broetz
– volume: 6
  start-page: 1
  year: 2009
  ident: 820_CR37
  publication-title: J NeuroEng Rehab.
  doi: 10.1186/1743-0003-6-20
  contributor:
    fullname: L Marchal-Crespo
– ident: 820_CR21
– volume: 1
  start-page: 350
  year: 2019
  ident: 820_CR112
  publication-title: J Neurophysiol
  doi: 10.1152/jn.00762.2018
  contributor:
    fullname: BR Ballester
– volume: 19
  start-page: 21
  year: 2006
  ident: 820_CR17
  publication-title: Cogn Behav Neurol
  doi: 10.1097/00146965-200603000-00003
  contributor:
    fullname: F Fregni
– ident: 820_CR110
  doi: 10.1016/B978-072343285-2.50007-3
– volume: 9
  start-page: e85192
  year: 2014
  ident: 820_CR121
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0085192
  contributor:
    fullname: K Liao
– volume: 13
  start-page: 7
  year: 2019
  ident: 820_CR89
  publication-title: Front Neurorobot
  doi: 10.3389/fnbot.2019.00007
  contributor:
    fullname: J Zhang
– volume: 113
  start-page: 3663
  year: 2015
  ident: 820_CR96
  publication-title: J Neurophysiol
  doi: 10.1152/jn.00467.2013
  contributor:
    fullname: A Ramos-Murguialday
– volume: 16
  start-page: 1
  year: 2019
  ident: 820_CR28
  publication-title: J Neural Eng
  doi: 10.1088/1741-2552/ab2b61
  contributor:
    fullname: A Kilicarslan
– volume: 27
  start-page: 1020
  year: 2019
  ident: 820_CR65
  publication-title: IEEE Trans Neural Syst Rehabil Eng
  doi: 10.1109/TNSRE.2019.2908125
  contributor:
    fullname: D Rathee
– volume: 416
  start-page: 109
  year: 2019
  ident: 820_CR84
  publication-title: Neuroscience
  doi: 10.1016/j.neuroscience.2019.07.037
  contributor:
    fullname: S Tsuchimoto
– ident: 820_CR67
– ident: 820_CR6
  doi: 10.1007/BF01797193
– volume: 37
  start-page: 2673
  year: 2017
  ident: 820_CR20
  publication-title: J Neurosci
  doi: 10.1523/JNEUROSCI.3303-16.2017
  contributor:
    fullname: F Mawase
– volume: 88
  start-page: 730
  year: 2016
  ident: 820_CR124
  publication-title: J Neurol Neurosurg Psychiatry
  doi: 10.1136/jnnp-2016-314728
  contributor:
    fullname: G Quattrocchi
– volume: 42
  start-page: 245
  year: 2011
  ident: 820_CR8
  publication-title: Clin EEG Neurosci
  doi: 10.1177/155005941104200410
  contributor:
    fullname: S Silvoni
– start-page: 297
  volume-title: 9th International Conference on Robotic
  year: 2017
  ident: 820_CR116
  contributor:
    fullname: E Abdalsalam
– volume: 5
  start-page: 39
  year: 2011
  ident: 820_CR73
  publication-title: Front Neurosci
  doi: 10.3389/fnins.2011.00039
  contributor:
    fullname: A Muralidharan
– volume-title: Simultaneous EEG recordings with dry and wet electrodes in motor-imagery
  year: 2011
  ident: 820_CR115
  contributor:
    fullname: J Saab
– volume: 24
  start-page: 9937
  year: 2018
  ident: 820_CR3
  publication-title: Adv Sci Lett
  doi: 10.1166/asl.2018.12357
  contributor:
    fullname: MV Manguerra
– ident: 820_CR27
  doi: 10.3389/fncom.2019.00080
– ident: 820_CR47
  doi: 10.1109/ICVR.2015.7358592
– volume: 15
  start-page: 1
  year: 2020
  ident: 820_CR38
  publication-title: PLOS ONE.
  doi: 10.1371/journal.pone.0224055
  contributor:
    fullname: J Brookes
– volume: 10
  start-page: 251
  year: 2017
  ident: 820_CR66
  publication-title: Brain Stimul
  doi: 10.1016/j.brs.2016.11.003
  contributor:
    fullname: G Naros
– volume: 22
  start-page: 1786
  year: 2018
  ident: 820_CR79
  publication-title: IEEE J Biomed Health Inform
  doi: 10.1109/JBHI.2018.2863212
  contributor:
    fullname: A Chowdhury
– volume: 2011
  start-page: 5975377
  year: 2011
  ident: 820_CR60
  publication-title: IEEE Int Conf Rehabil Robot
  contributor:
    fullname: M Bergamasco
– volume-title: Motor imagery and action observation as effective tools for physical therapy
  year: 2017
  ident: 820_CR44
  doi: 10.5772/67519
  contributor:
    fullname: H Nakano
– ident: 820_CR64
  doi: 10.1109/VITAE.2014.6934416
– ident: 820_CR103
  doi: 10.1109/MWSCAS.2016.7870163
– volume: 2019
  start-page: 11
  year: 2019
  ident: 820_CR85
  publication-title: Neural Plasticity
  doi: 10.1155/2019/7084618
  contributor:
    fullname: RI Carino-Escobar
– ident: 820_CR10
  doi: 10.1007/978-3-642-02091-9_1
– ident: 820_CR13
– volume: 16
  start-page: 6553
  year: 2014
  ident: 820_CR26
  publication-title: Entropy
  doi: 10.3390/e16126553
  contributor:
    fullname: N Mammone
– volume: 75
  start-page: 475
  year: 2019
  ident: 820_CR2
  publication-title: S Afr J Physiother
  doi: 10.4102/sajp.v75i1.475
  contributor:
    fullname: MV Ntsiea
– volume: 7
  start-page: 13
  year: 1975
  ident: 820_CR53
  publication-title: Scand J Rehabil Med.
  doi: 10.2340/1650197771331
  contributor:
    fullname: AR Fugl-Meyer
– volume: 134
  start-page: 142
  year: 2016
  ident: 820_CR98
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.03.016
  contributor:
    fullname: G Naros
– volume: 1
  start-page: 31
  year: 2018
  ident: 820_CR33
  publication-title: Neurosci Biobeh Rev.
  doi: 10.1016/j.neubiorev.2018.08.003
  contributor:
    fullname: RM Hardwick
– volume: 14
  start-page: 216
  year: 2014
  ident: 820_CR1
  publication-title: BMC Health Serv Res
  doi: 10.1186/1472-6963-14-216
  contributor:
    fullname: G McHugh
– volume: 16
  start-page: 1
  year: 2019
  ident: 820_CR31
  publication-title: J Neural Eng.
  doi: 10.1088/1741-2552/ab260c
  contributor:
    fullname: Y Roy
– volume: 30
  start-page: 497
  year: 2012
  ident: 820_CR68
  publication-title: Restor Neurol Neurosci
  contributor:
    fullname: G Pellegrino
– volume: 13
  start-page: 34
  year: 2019
  ident: 820_CR88
  publication-title: Front Neurorobot
  doi: 10.3389/fnbot.2019.00034
  contributor:
    fullname: M Li
– volume: 261
  start-page: 184
  year: 2014
  ident: 820_CR34
  publication-title: Neuroscience
  doi: 10.1016/j.neuroscience.2013.12.005
  contributor:
    fullname: L Xu
– volume: 2015
  start-page: 1922
  year: 2015
  ident: 820_CR72
  publication-title: Conf Proc IEEE Eng Med Biol Soc
  contributor:
    fullname: F Shiman
– ident: 820_CR76
  doi: 10.1109/ICORR.2015.7281174
– volume: 2014
  start-page: 3622
  year: 2014
  ident: 820_CR92
  publication-title: Conf Proc IEEE Eng Med Biol Soc
  contributor:
    fullname: AL Coffey
– volume: 2012
  start-page: 1749
  year: 2012
  ident: 820_CR93
  publication-title: Conf Proc IEEE Eng Med Biol Soc
  contributor:
    fullname: CD Holmes
– volume: 19
  start-page: 1
  year: 2019
  ident: 820_CR25
  publication-title: Sensors.
  doi: 10.1109/JSEN.2019.2912688
  contributor:
    fullname: X Jiang
– volume: 442
  start-page: 164
  year: 2006
  ident: 820_CR7
  publication-title: Nature
  doi: 10.1038/nature04970
  contributor:
    fullname: LR Hochberg
– volume: 10
  start-page: 514
  year: 2016
  ident: 820_CR42
  publication-title: Front Human Neurosci
  contributor:
    fullname: DL Eaves
– ident: 820_CR117
  doi: 10.1088/0967-3334/36/7/1469
– volume: 10
  start-page: 24
  year: 2013
  ident: 820_CR70
  publication-title: J Neuroeng Rehabil
  doi: 10.1186/1743-0003-10-24
  contributor:
    fullname: E Formaggio
– year: 2019
  ident: 820_CR46
  publication-title: Behav Res Methods.
  doi: 10.3758/s13428-019-01242-0
  contributor:
    fullname: J Brookes
– volume: 7
  start-page: 564
  year: 2013
  ident: 820_CR35
  publication-title: Front Hum Neurosci
  doi: 10.3389/fnhum.2013.00564
  contributor:
    fullname: N Sharma
– volume: 2012
  start-page: 4112
  year: 2012
  ident: 820_CR62
  publication-title: Conf Proc IEEE Eng Med Biol Soc
  contributor:
    fullname: F Cincotti
– ident: 820_CR22
  doi: 10.7551/mitpress/9609.001.0001
– volume: 111
  start-page: 1
  year: 2015
  ident: 820_CR99
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2015.01.058
  contributor:
    fullname: M Vukelic
– volume: 2
  start-page: 157
  year: 1973
  ident: 820_CR5
  publication-title: Ann Rev Biophys Bioeng
  doi: 10.1146/annurev.bb.02.060173.001105
  contributor:
    fullname: JJ Vidal
– volume: 2013
  start-page: 265
  year: 2013
  ident: 820_CR74
  publication-title: Conf Proc IEEE Eng Med Biol Soc
  contributor:
    fullname: T Ono
– volume: 11
  start-page: 499
  year: 2017
  ident: 820_CR43
  publication-title: Front Human Neurosci
  doi: 10.3389/fnhum.2017.00499
  contributor:
    fullname: T Kim
– volume: 184
  start-page: 119
  year: 2019
  ident: 820_CR113
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2018.09.012
  contributor:
    fullname: JWY Kam
– volume: 9
  start-page: 918
  year: 2017
  ident: 820_CR50
  publication-title: PM R
  doi: 10.1016/j.pmrj.2017.04.016
  contributor:
    fullname: E Monge-Pereira
– ident: 820_CR86
  doi: 10.1109/PAHCE.2015.7173328
– volume: 36
  start-page: 169
  year: 2001
  ident: 820_CR18
  publication-title: Brain Res Brain Res Rev
  doi: 10.1016/S0165-0173(01)00092-3
  contributor:
    fullname: M Hallett
– volume: 58
  start-page: 1865
  year: 2011
  ident: 820_CR123
  publication-title: Biomed Eng IEEE Trans
  doi: 10.1109/TBME.2011.2131142
  contributor:
    fullname: M Arvaneh
– volume-title: Brain–Computer Interfaces, principles and practise
  year: 2012
  ident: 820_CR4
  doi: 10.1093/acprof:oso/9780195388855.001.0001
  contributor:
    fullname: JR Wolpaw
– ident: 820_CR81
  doi: 10.1109/APSIPA.2016.7820761
– volume: 3
  start-page: 500
  year: 2018
  ident: 820_CR90
  publication-title: IEEE Robot Autom Lett
  doi: 10.1109/LRA.2017.2771329
  contributor:
    fullname: L Randazzo
– volume: 398
  start-page: 297
  year: 1999
  ident: 820_CR9
  publication-title: Nature
  doi: 10.1038/18581
  contributor:
    fullname: N Birbaumer
– volume: 10
  start-page: 692
  year: 2017
  ident: 820_CR41
  publication-title: Front Human Neurosci
  doi: 10.3389/fnhum.2016.00692
  contributor:
    fullname: CL Friesen
– volume: 38
  start-page: 5391
  year: 2017
  ident: 820_CR32
  publication-title: Hum Brain Mapp
  doi: 10.1002/hbm.23730
  contributor:
    fullname: RB Schirrmeister
– volume: 14
  start-page: 726
  year: 2017
  ident: 820_CR59
  publication-title: Neuroimage Clin
  doi: 10.1016/j.nicl.2017.03.005
  contributor:
    fullname: P Belardinelli
– volume: 33
  start-page: 299
  year: 1977
  ident: 820_CR55
  publication-title: J Neurol Sci
  doi: 10.1016/0022-510X(77)90205-2
  contributor:
    fullname: WB Matthews
– volume: 39
  start-page: 129
  year: 2018
  ident: 820_CR69
  publication-title: IRBM
  doi: 10.1016/j.irbm.2018.02.001
  contributor:
    fullname: R Bousseta
– volume: 6
  start-page: 43
  year: 2019
  ident: 820_CR49
  publication-title: Front Robot AI
  doi: 10.3389/frobt.2019.00043
  contributor:
    fullname: F Hülsmann
– volume: 114
  start-page: 134
  year: 2018
  ident: 820_CR100
  publication-title: Neuropsychologia
  doi: 10.1016/j.neuropsychologia.2018.04.016
  contributor:
    fullname: Y Ono
– volume: 2015
  start-page: 4610
  year: 2015
  ident: 820_CR87
  publication-title: Conf Proc IEEE Eng Med Biol Soc
  contributor:
    fullname: A Chowdhury
– ident: 820_CR54
  doi: 10.1097/00004356-198112000-00001
– ident: 820_CR109
  doi: 10.1155/2018/9758939
– ident: 820_CR63
  doi: 10.1109/I2MTC.2014.6860961
– volume: 7
  start-page: 807
  year: 2013
  ident: 820_CR40
  publication-title: Front Human Neurosci
  doi: 10.3389/fnhum.2013.00807
  contributor:
    fullname: S Vogt
– ident: 820_CR78
  doi: 10.1109/TCDS.2017.2787040
– volume: 26
  start-page: 609
  year: 2013
  ident: 820_CR19
  publication-title: Curr Opin Neurol
  doi: 10.1097/WCO.0000000000000025
  contributor:
    fullname: SR Zeiler
– ident: 820_CR106
– volume: 108
  start-page: 319
  year: 2015
  ident: 820_CR97
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2014.12.026
  contributor:
    fullname: R Bauer
– volume: 94
  start-page: 839
  year: 2013
  ident: 820_CR15
  publication-title: Arch Phys Med Rehabil
  doi: 10.1016/j.apmr.2012.11.031
  contributor:
    fullname: A Houwink
– ident: 820_CR14
  doi: 10.1155/2017/3908135
– ident: 820_CR45
  doi: 10.1002/14651858.CD008349.pub4
– volume: 54
  start-page: 74
  year: 2017
  ident: 820_CR114
  publication-title: Psychophysiology
  doi: 10.1111/psyp.12536
  contributor:
    fullname: KE Mathewson
– volume: 11
  start-page: 165
  year: 2014
  ident: 820_CR101
  publication-title: J NeuroEng Rehabil
  doi: 10.1186/1743-0003-11-165
  contributor:
    fullname: M Witkowski
– volume: 114
  start-page: 1265
  year: 2007
  ident: 820_CR39
  publication-title: J Neural Transm (Vienna)
  doi: 10.1007/s00702-007-0763-z
  contributor:
    fullname: T Mulder
– ident: 820_CR118
  doi: 10.1109/ISCE.2012.6241718
– volume: 7
  start-page: e47048
  year: 2012
  ident: 820_CR95
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0047048
  contributor:
    fullname: A Ramos-Murguialday
– volume: 9
  start-page: 810
  year: 2018
  ident: 820_CR83
  publication-title: Front Neurol
  doi: 10.3389/fneur.2018.00810
  contributor:
    fullname: X Wang
– volume: 2011
  start-page: 5786
  year: 2011
  ident: 820_CR104
  publication-title: Conf Proc IEEE Eng Med Biol Soc
  contributor:
    fullname: CE King
– volume: 49
  start-page: 449
  year: 2017
  ident: 820_CR52
  publication-title: J Rehabil Med
  doi: 10.2340/16501977-2229
  contributor:
    fullname: AC McConnell
– ident: 820_CR56
– ident: 820_CR107
  doi: 10.1007/978-3-030-04491-6_10
– volume: 232
  start-page: 344
  year: 2018
  ident: 820_CR23
  publication-title: Proc Inst Mech Eng H
  doi: 10.1177/0954411918755828
  contributor:
    fullname: M Li
– ident: 820_CR119
– volume: 15
  start-page: 056026
  year: 2018
  ident: 820_CR82
  publication-title: J Neural Eng
  doi: 10.1088/1741-2552/aad724
  contributor:
    fullname: SL Norman
– volume: 2011
  start-page: 6277
  year: 2011
  ident: 820_CR102
  publication-title: Conf Proc IEEE Eng Med Biol Soc
  contributor:
    fullname: S Fok
– ident: 820_CR51
  doi: 10.1101/224618
– ident: 820_CR94
  doi: 10.1109/EHB.2015.7391389
– volume: 83
  start-page: 713
  year: 2003
  ident: 820_CR57
  publication-title: Phys Ther
  doi: 10.1093/ptj/83.8.713
  contributor:
    fullname: CG Maher
– volume: 11
  start-page: 16
  year: 2017
  ident: 820_CR108
  publication-title: Signal Process
  contributor:
    fullname: R Chaudhari
– volume: 11
  start-page: 400
  year: 2017
  ident: 820_CR80
  publication-title: Front Neurosci
  doi: 10.3389/fnins.2017.00400
  contributor:
    fullname: AA Frolov
– volume: 25
  start-page: 761
  year: 2017
  ident: 820_CR91
  publication-title: IEEE Trans Neural Syst Rehabil Eng
  doi: 10.1109/TNSRE.2016.2597157
  contributor:
    fullname: G Tacchino
– volume: 47
  start-page: 1385
  year: 2016
  ident: 820_CR16
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.115.012520
  contributor:
    fullname: K Takahashi
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Snippet Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of...
Abstract Background Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of...
Background Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of...
BACKGROUNDHand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of...
Abstract Background Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of...
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StartPage 15
SubjectTerms Activities of daily living
Automation
Brain research
Brain–computer interface
Care and treatment
Discriminant analysis
Display devices
EEG
Electroencephalography
Feedback
Hand
Hand (anatomy)
Heterogeneity
Human-computer interface
Imagery
Interfaces
Medical equipment
Medical research
Medicine, Experimental
Mental task performance
Motor imagery
Motor skill
Neural networks
Patients
Physiology
Rehabilitation
Rehabilitation technology
Review
Robot control
Robotics
Robots
Signal processing
Statistical analysis
Stroke
Stroke patients
Systematic review
Therapists
Therapy
Wavelet transforms
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Title Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review
URI https://www.ncbi.nlm.nih.gov/pubmed/33485365
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Volume 18
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