Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability
Appropriately combining mental practice (MP) and physical practice (PP) in a poststroke rehabilitation is critical for ensuring a substantially positive rehabilitation outcome. Here, we present a rehabilitation protocol incorporating a separate active PP stage followed by MP stage, using a hand exos...
Gespeichert in:
Veröffentlicht in: | IEEE journal of biomedical and health informatics 2018-11, Vol.22 (6), p.1786-1795 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1795 |
---|---|
container_issue | 6 |
container_start_page | 1786 |
container_title | IEEE journal of biomedical and health informatics |
container_volume | 22 |
creator | Chowdhury, Anirban Meena, Yogesh Kumar Raza, Haider Bhushan, Braj Uttam, Ashwani Kumar Pandey, Nirmal Hashmi, Adnan Ariz Bajpai, Alok Dutta, Ashish Prasad, Girijesh |
description | Appropriately combining mental practice (MP) and physical practice (PP) in a poststroke rehabilitation is critical for ensuring a substantially positive rehabilitation outcome. Here, we present a rehabilitation protocol incorporating a separate active PP stage followed by MP stage, using a hand exoskeleton and brain-computer interface (BCI). The PP stage was mediated by a force sensor feedback-based assist-as-needed control strategy, whereas the MP stage provided BCI-based multimodal neurofeedback combining anthropomorphic visual feedback and proprioceptive feedback of the impaired hand extension attempt. A six week long clinical trial was conducted on four hemiparetic stroke patients (screened out of 16) with a left-hand disability. The primary outcome, motor functional recovery, was measured in terms of changes in grip-strength (GS) and action research arm test (ARAT) scores; whereas the secondary outcome, usability of the system was measured in terms of changes in mood, fatigue, and motivation on a visual-analog-scale. A positive rehabilitative outcome was found as the group mean changes from the baseline in the GS and ARAT were +6.38 kg and +5.66 accordingly. The VAS scale measurements also showed betterment in mood (-1.38), increased motivation (+2.10) and reduced fatigue (-0.98) as compared to the baseline. Thus, the proposed neurorehabilitation protocol is found to be promising both in terms of clinical effectiveness and usability. |
doi_str_mv | 10.1109/JBHI.2018.2863212 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2121972678</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8424844</ieee_id><sourcerecordid>2121972678</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3072-a0c6ae51d72b4f57c29c3d450bacdb0ed47a78c30ee2115b598187cca8a981eb3</originalsourceid><addsrcrecordid>eNpdkcFOGzEQhq2qqCDgAapKlaVeetlge727Xm4hDSQI1BzI2fJ6Z1uDY1N7U8hL8Mx4SUAIXzya-f6Z0fwIfaVkRCmpTy7PZvMRI1SMmChzRtkndMBoKTLGiPj8GtOa76PjGG9JeiKl6vIL2s9TTGjBDtDTWPfmP-DF3000Wlm8CCplNOBzb61_gBY3G3wNrn9fW0bj_uCzyTz7FZLa4ZlyLZ4--ngHFnrvTvEYL4z1Pb4JJik7H_DEGvcyYtp18DLVQYx4UC6jaow1_eYI7XXKRjje_YdoeT69mcyyq98X88n4KtM5qVimiC4VFLStWMO7otKs1nnLC9Io3TYEWl6pSiQWgFFaNEUtqKi0VkKlCJr8EP3c9r0P_t8aYi9XJmqwVjnw6yjTCXnOBedFQn98QG_9Ori0nUxHp3XFykokim4pHXyMATp5H8xKhY2kRA5-ycEvOfgld34lzfdd53WzgvZN8epOAr5tAQMAb2XB2bBZ_gw8LJkM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2121972678</pqid></control><display><type>article</type><title>Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability</title><source>IEEE Electronic Library (IEL)</source><creator>Chowdhury, Anirban ; Meena, Yogesh Kumar ; Raza, Haider ; Bhushan, Braj ; Uttam, Ashwani Kumar ; Pandey, Nirmal ; Hashmi, Adnan Ariz ; Bajpai, Alok ; Dutta, Ashish ; Prasad, Girijesh</creator><creatorcontrib>Chowdhury, Anirban ; Meena, Yogesh Kumar ; Raza, Haider ; Bhushan, Braj ; Uttam, Ashwani Kumar ; Pandey, Nirmal ; Hashmi, Adnan Ariz ; Bajpai, Alok ; Dutta, Ashish ; Prasad, Girijesh</creatorcontrib><description>Appropriately combining mental practice (MP) and physical practice (PP) in a poststroke rehabilitation is critical for ensuring a substantially positive rehabilitation outcome. Here, we present a rehabilitation protocol incorporating a separate active PP stage followed by MP stage, using a hand exoskeleton and brain-computer interface (BCI). The PP stage was mediated by a force sensor feedback-based assist-as-needed control strategy, whereas the MP stage provided BCI-based multimodal neurofeedback combining anthropomorphic visual feedback and proprioceptive feedback of the impaired hand extension attempt. A six week long clinical trial was conducted on four hemiparetic stroke patients (screened out of 16) with a left-hand disability. The primary outcome, motor functional recovery, was measured in terms of changes in grip-strength (GS) and action research arm test (ARAT) scores; whereas the secondary outcome, usability of the system was measured in terms of changes in mood, fatigue, and motivation on a visual-analog-scale. A positive rehabilitative outcome was found as the group mean changes from the baseline in the GS and ARAT were +6.38 kg and +5.66 accordingly. The VAS scale measurements also showed betterment in mood (-1.38), increased motivation (+2.10) and reduced fatigue (-0.98) as compared to the baseline. Thus, the proposed neurorehabilitation protocol is found to be promising both in terms of clinical effectiveness and usability.</description><identifier>ISSN: 2168-2194</identifier><identifier>EISSN: 2168-2208</identifier><identifier>DOI: 10.1109/JBHI.2018.2863212</identifier><identifier>PMID: 30080152</identifier><identifier>CODEN: IJBHA9</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>BCI ; Brain ; Brain-computer interfaces ; Clinical trials ; Computer applications ; EEG ; Electroencephalography ; Exoskeleton ; Exoskeletons ; Fatigue ; Feedback ; Hand ; Human-computer interface ; Implants ; Mood ; Motivation ; Neurofeedback ; Neurology ; neurorehabilitation ; Patient rehabilitation ; Proprioception ; Recovery of function ; Rehabilitation ; Stroke ; Stroke (medical condition) ; Usability ; Visual perception</subject><ispartof>IEEE journal of biomedical and health informatics, 2018-11, Vol.22 (6), p.1786-1795</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3072-a0c6ae51d72b4f57c29c3d450bacdb0ed47a78c30ee2115b598187cca8a981eb3</citedby><cites>FETCH-LOGICAL-c3072-a0c6ae51d72b4f57c29c3d450bacdb0ed47a78c30ee2115b598187cca8a981eb3</cites><orcidid>0000-0002-4005-4586 ; 0000-0002-3955-0144 ; 0000-0002-3635-9731 ; 0000-0003-3284-9589 ; 0000-0001-5177-1209</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8424844$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8424844$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30080152$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chowdhury, Anirban</creatorcontrib><creatorcontrib>Meena, Yogesh Kumar</creatorcontrib><creatorcontrib>Raza, Haider</creatorcontrib><creatorcontrib>Bhushan, Braj</creatorcontrib><creatorcontrib>Uttam, Ashwani Kumar</creatorcontrib><creatorcontrib>Pandey, Nirmal</creatorcontrib><creatorcontrib>Hashmi, Adnan Ariz</creatorcontrib><creatorcontrib>Bajpai, Alok</creatorcontrib><creatorcontrib>Dutta, Ashish</creatorcontrib><creatorcontrib>Prasad, Girijesh</creatorcontrib><title>Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability</title><title>IEEE journal of biomedical and health informatics</title><addtitle>JBHI</addtitle><addtitle>IEEE J Biomed Health Inform</addtitle><description>Appropriately combining mental practice (MP) and physical practice (PP) in a poststroke rehabilitation is critical for ensuring a substantially positive rehabilitation outcome. Here, we present a rehabilitation protocol incorporating a separate active PP stage followed by MP stage, using a hand exoskeleton and brain-computer interface (BCI). The PP stage was mediated by a force sensor feedback-based assist-as-needed control strategy, whereas the MP stage provided BCI-based multimodal neurofeedback combining anthropomorphic visual feedback and proprioceptive feedback of the impaired hand extension attempt. A six week long clinical trial was conducted on four hemiparetic stroke patients (screened out of 16) with a left-hand disability. The primary outcome, motor functional recovery, was measured in terms of changes in grip-strength (GS) and action research arm test (ARAT) scores; whereas the secondary outcome, usability of the system was measured in terms of changes in mood, fatigue, and motivation on a visual-analog-scale. A positive rehabilitative outcome was found as the group mean changes from the baseline in the GS and ARAT were +6.38 kg and +5.66 accordingly. The VAS scale measurements also showed betterment in mood (-1.38), increased motivation (+2.10) and reduced fatigue (-0.98) as compared to the baseline. Thus, the proposed neurorehabilitation protocol is found to be promising both in terms of clinical effectiveness and usability.</description><subject>BCI</subject><subject>Brain</subject><subject>Brain-computer interfaces</subject><subject>Clinical trials</subject><subject>Computer applications</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>Exoskeleton</subject><subject>Exoskeletons</subject><subject>Fatigue</subject><subject>Feedback</subject><subject>Hand</subject><subject>Human-computer interface</subject><subject>Implants</subject><subject>Mood</subject><subject>Motivation</subject><subject>Neurofeedback</subject><subject>Neurology</subject><subject>neurorehabilitation</subject><subject>Patient rehabilitation</subject><subject>Proprioception</subject><subject>Recovery of function</subject><subject>Rehabilitation</subject><subject>Stroke</subject><subject>Stroke (medical condition)</subject><subject>Usability</subject><subject>Visual perception</subject><issn>2168-2194</issn><issn>2168-2208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkcFOGzEQhq2qqCDgAapKlaVeetlge727Xm4hDSQI1BzI2fJ6Z1uDY1N7U8hL8Mx4SUAIXzya-f6Z0fwIfaVkRCmpTy7PZvMRI1SMmChzRtkndMBoKTLGiPj8GtOa76PjGG9JeiKl6vIL2s9TTGjBDtDTWPfmP-DF3000Wlm8CCplNOBzb61_gBY3G3wNrn9fW0bj_uCzyTz7FZLa4ZlyLZ4--ngHFnrvTvEYL4z1Pb4JJik7H_DEGvcyYtp18DLVQYx4UC6jaow1_eYI7XXKRjje_YdoeT69mcyyq98X88n4KtM5qVimiC4VFLStWMO7otKs1nnLC9Io3TYEWl6pSiQWgFFaNEUtqKi0VkKlCJr8EP3c9r0P_t8aYi9XJmqwVjnw6yjTCXnOBedFQn98QG_9Ori0nUxHp3XFykokim4pHXyMATp5H8xKhY2kRA5-ycEvOfgld34lzfdd53WzgvZN8epOAr5tAQMAb2XB2bBZ_gw8LJkM</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Chowdhury, Anirban</creator><creator>Meena, Yogesh Kumar</creator><creator>Raza, Haider</creator><creator>Bhushan, Braj</creator><creator>Uttam, Ashwani Kumar</creator><creator>Pandey, Nirmal</creator><creator>Hashmi, Adnan Ariz</creator><creator>Bajpai, Alok</creator><creator>Dutta, Ashish</creator><creator>Prasad, Girijesh</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4005-4586</orcidid><orcidid>https://orcid.org/0000-0002-3955-0144</orcidid><orcidid>https://orcid.org/0000-0002-3635-9731</orcidid><orcidid>https://orcid.org/0000-0003-3284-9589</orcidid><orcidid>https://orcid.org/0000-0001-5177-1209</orcidid></search><sort><creationdate>201811</creationdate><title>Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability</title><author>Chowdhury, Anirban ; Meena, Yogesh Kumar ; Raza, Haider ; Bhushan, Braj ; Uttam, Ashwani Kumar ; Pandey, Nirmal ; Hashmi, Adnan Ariz ; Bajpai, Alok ; Dutta, Ashish ; Prasad, Girijesh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3072-a0c6ae51d72b4f57c29c3d450bacdb0ed47a78c30ee2115b598187cca8a981eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>BCI</topic><topic>Brain</topic><topic>Brain-computer interfaces</topic><topic>Clinical trials</topic><topic>Computer applications</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>Exoskeleton</topic><topic>Exoskeletons</topic><topic>Fatigue</topic><topic>Feedback</topic><topic>Hand</topic><topic>Human-computer interface</topic><topic>Implants</topic><topic>Mood</topic><topic>Motivation</topic><topic>Neurofeedback</topic><topic>Neurology</topic><topic>neurorehabilitation</topic><topic>Patient rehabilitation</topic><topic>Proprioception</topic><topic>Recovery of function</topic><topic>Rehabilitation</topic><topic>Stroke</topic><topic>Stroke (medical condition)</topic><topic>Usability</topic><topic>Visual perception</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chowdhury, Anirban</creatorcontrib><creatorcontrib>Meena, Yogesh Kumar</creatorcontrib><creatorcontrib>Raza, Haider</creatorcontrib><creatorcontrib>Bhushan, Braj</creatorcontrib><creatorcontrib>Uttam, Ashwani Kumar</creatorcontrib><creatorcontrib>Pandey, Nirmal</creatorcontrib><creatorcontrib>Hashmi, Adnan Ariz</creatorcontrib><creatorcontrib>Bajpai, Alok</creatorcontrib><creatorcontrib>Dutta, Ashish</creatorcontrib><creatorcontrib>Prasad, Girijesh</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE journal of biomedical and health informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chowdhury, Anirban</au><au>Meena, Yogesh Kumar</au><au>Raza, Haider</au><au>Bhushan, Braj</au><au>Uttam, Ashwani Kumar</au><au>Pandey, Nirmal</au><au>Hashmi, Adnan Ariz</au><au>Bajpai, Alok</au><au>Dutta, Ashish</au><au>Prasad, Girijesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability</atitle><jtitle>IEEE journal of biomedical and health informatics</jtitle><stitle>JBHI</stitle><addtitle>IEEE J Biomed Health Inform</addtitle><date>2018-11</date><risdate>2018</risdate><volume>22</volume><issue>6</issue><spage>1786</spage><epage>1795</epage><pages>1786-1795</pages><issn>2168-2194</issn><eissn>2168-2208</eissn><coden>IJBHA9</coden><abstract>Appropriately combining mental practice (MP) and physical practice (PP) in a poststroke rehabilitation is critical for ensuring a substantially positive rehabilitation outcome. Here, we present a rehabilitation protocol incorporating a separate active PP stage followed by MP stage, using a hand exoskeleton and brain-computer interface (BCI). The PP stage was mediated by a force sensor feedback-based assist-as-needed control strategy, whereas the MP stage provided BCI-based multimodal neurofeedback combining anthropomorphic visual feedback and proprioceptive feedback of the impaired hand extension attempt. A six week long clinical trial was conducted on four hemiparetic stroke patients (screened out of 16) with a left-hand disability. The primary outcome, motor functional recovery, was measured in terms of changes in grip-strength (GS) and action research arm test (ARAT) scores; whereas the secondary outcome, usability of the system was measured in terms of changes in mood, fatigue, and motivation on a visual-analog-scale. A positive rehabilitative outcome was found as the group mean changes from the baseline in the GS and ARAT were +6.38 kg and +5.66 accordingly. The VAS scale measurements also showed betterment in mood (-1.38), increased motivation (+2.10) and reduced fatigue (-0.98) as compared to the baseline. Thus, the proposed neurorehabilitation protocol is found to be promising both in terms of clinical effectiveness and usability.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>30080152</pmid><doi>10.1109/JBHI.2018.2863212</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-4005-4586</orcidid><orcidid>https://orcid.org/0000-0002-3955-0144</orcidid><orcidid>https://orcid.org/0000-0002-3635-9731</orcidid><orcidid>https://orcid.org/0000-0003-3284-9589</orcidid><orcidid>https://orcid.org/0000-0001-5177-1209</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2168-2194 |
ispartof | IEEE journal of biomedical and health informatics, 2018-11, Vol.22 (6), p.1786-1795 |
issn | 2168-2194 2168-2208 |
language | eng |
recordid | cdi_proquest_journals_2121972678 |
source | IEEE Electronic Library (IEL) |
subjects | BCI Brain Brain-computer interfaces Clinical trials Computer applications EEG Electroencephalography Exoskeleton Exoskeletons Fatigue Feedback Hand Human-computer interface Implants Mood Motivation Neurofeedback Neurology neurorehabilitation Patient rehabilitation Proprioception Recovery of function Rehabilitation Stroke Stroke (medical condition) Usability Visual perception |
title | Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T03%3A09%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Active%20Physical%20Practice%20Followed%20by%20Mental%20Practice%20Using%20BCI-Driven%20Hand%20Exoskeleton:%20A%20Pilot%20Trial%20for%20Clinical%20Effectiveness%20and%20Usability&rft.jtitle=IEEE%20journal%20of%20biomedical%20and%20health%20informatics&rft.au=Chowdhury,%20Anirban&rft.date=2018-11&rft.volume=22&rft.issue=6&rft.spage=1786&rft.epage=1795&rft.pages=1786-1795&rft.issn=2168-2194&rft.eissn=2168-2208&rft.coden=IJBHA9&rft_id=info:doi/10.1109/JBHI.2018.2863212&rft_dat=%3Cproquest_RIE%3E2121972678%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2121972678&rft_id=info:pmid/30080152&rft_ieee_id=8424844&rfr_iscdi=true |