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 in | Journal of neuroengineering and rehabilitation Vol. 18; no. 1; p. 15 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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England
BioMed Central Ltd
23.01.2021
BioMed Central BMC |
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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. |
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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 |
Author_xml | – sequence: 1 givenname: Paul Dominick E orcidid: 0000-0001-7141-8330 surname: Baniqued fullname: Baniqued, Paul Dominick E organization: School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK – sequence: 2 givenname: Emily C surname: Stanyer fullname: Stanyer, Emily C organization: School of Psychology, University of Leeds, Leeds, LS2 9JZ, UK – sequence: 3 givenname: Muhammad surname: Awais fullname: Awais, Muhammad organization: School of Psychology, University of Leeds, Leeds, LS2 9JZ, UK – sequence: 4 givenname: Ali surname: Alazmani fullname: Alazmani, Ali organization: School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK – sequence: 5 givenname: Andrew E surname: Jackson fullname: Jackson, Andrew E organization: School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK – sequence: 6 givenname: Mark A surname: Mon-Williams fullname: Mon-Williams, Mark A organization: School of Psychology, University of Leeds, Leeds, LS2 9JZ, UK – sequence: 7 givenname: Faisal surname: Mushtaq fullname: Mushtaq, Faisal email: f.mushtaq@leeds.ac.uk organization: School of Psychology, University of Leeds, Leeds, LS2 9JZ, UK. f.mushtaq@leeds.ac.uk – sequence: 8 givenname: Raymond J surname: Holt fullname: Holt, Raymond J organization: School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK |
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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Keywords | Stroke Motor imagery Rehabilitation EEG Robotics Brain–computer interface |
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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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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 |
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