Fusion of Haptic and Gesture Sensors for Rehabilitation of Bimanual Coordination and Dexterous Manipulation.
Identifieur interne : 000068 ( PubMed/Corpus ); précédent : 000067; suivant : 000069Fusion of Haptic and Gesture Sensors for Rehabilitation of Bimanual Coordination and Dexterous Manipulation.
Auteurs : Ningbo Yu ; Chang Xu ; Huanshuai Li ; Kui Wang ; Liancheng Wang ; Jingtai LiuSource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2016.
Abstract
Disabilities after neural injury, such as stroke, bring tremendous burden to patients, families and society. Besides the conventional constrained-induced training with a paretic arm, bilateral rehabilitation training involves both the ipsilateral and contralateral sides of the neural injury, fitting well with the fact that both arms are needed in common activities of daily living (ADLs), and can promote good functional recovery. In this work, the fusion of a gesture sensor and a haptic sensor with force feedback capabilities has enabled a bilateral rehabilitation training therapy. The Leap Motion gesture sensor detects the motion of the healthy hand, and the omega.7 device can detect and assist the paretic hand, according to the designed cooperative task paradigm, as much as needed, with active force feedback to accomplish the manipulation task. A virtual scenario has been built up, and the motion and force data facilitate instantaneous visual and audio feedback, as well as further analysis of the functional capabilities of the patient. This task-oriented bimanual training paradigm recruits the sensory, motor and cognitive aspects of the patient into one loop, encourages the active involvement of the patients into rehabilitation training, strengthens the cooperation of both the healthy and impaired hands, challenges the dexterous manipulation capability of the paretic hand, suits easy of use at home or centralized institutions and, thus, promises effective potentials for rehabilitation training.
DOI: 10.3390/s16030395
PubMed: 26999149
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Fusion of Haptic and Gesture Sensors for Rehabilitation of Bimanual Coordination and Dexterous Manipulation.</title><author><name sortKey="Yu, Ningbo" sort="Yu, Ningbo" uniqKey="Yu N" first="Ningbo" last="Yu">Ningbo Yu</name><affiliation><nlm:affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. nyu@nankai.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Xu, Chang" sort="Xu, Chang" uniqKey="Xu C" first="Chang" last="Xu">Chang Xu</name><affiliation><nlm:affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. xuch@mail.nankai.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Li, Huanshuai" sort="Li, Huanshuai" uniqKey="Li H" first="Huanshuai" last="Li">Huanshuai Li</name><affiliation><nlm:affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. lihuanshuai@mail.nankai.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Kui" sort="Wang, Kui" uniqKey="Wang K" first="Kui" last="Wang">Kui Wang</name><affiliation><nlm:affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. wangkui337@mail.nankai.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Liancheng" sort="Wang, Liancheng" uniqKey="Wang L" first="Liancheng" last="Wang">Liancheng Wang</name><affiliation><nlm:affiliation>Rehabilitation Center, Tianjin Hospital, Tianjin 300211, China. cmoweb@126.com.</nlm:affiliation></affiliation></author><author><name sortKey="Liu, Jingtai" sort="Liu, Jingtai" uniqKey="Liu J" first="Jingtai" last="Liu">Jingtai Liu</name><affiliation><nlm:affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. liujt@nankai.edu.cn.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="doi">10.3390/s16030395</idno><idno type="RBID">pubmed:26999149</idno><idno type="pmid">26999149</idno><idno type="wicri:Area/PubMed/Corpus">000068</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Fusion of Haptic and Gesture Sensors for Rehabilitation of Bimanual Coordination and Dexterous Manipulation.</title><author><name sortKey="Yu, Ningbo" sort="Yu, Ningbo" uniqKey="Yu N" first="Ningbo" last="Yu">Ningbo Yu</name><affiliation><nlm:affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. nyu@nankai.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Xu, Chang" sort="Xu, Chang" uniqKey="Xu C" first="Chang" last="Xu">Chang Xu</name><affiliation><nlm:affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. xuch@mail.nankai.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Li, Huanshuai" sort="Li, Huanshuai" uniqKey="Li H" first="Huanshuai" last="Li">Huanshuai Li</name><affiliation><nlm:affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. lihuanshuai@mail.nankai.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Kui" sort="Wang, Kui" uniqKey="Wang K" first="Kui" last="Wang">Kui Wang</name><affiliation><nlm:affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. wangkui337@mail.nankai.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Liancheng" sort="Wang, Liancheng" uniqKey="Wang L" first="Liancheng" last="Wang">Liancheng Wang</name><affiliation><nlm:affiliation>Rehabilitation Center, Tianjin Hospital, Tianjin 300211, China. cmoweb@126.com.</nlm:affiliation></affiliation></author><author><name sortKey="Liu, Jingtai" sort="Liu, Jingtai" uniqKey="Liu J" first="Jingtai" last="Liu">Jingtai Liu</name><affiliation><nlm:affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. liujt@nankai.edu.cn.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Sensors (Basel, Switzerland)</title><idno type="eISSN">1424-8220</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Disabilities after neural injury, such as stroke, bring tremendous burden to patients, families and society. Besides the conventional constrained-induced training with a paretic arm, bilateral rehabilitation training involves both the ipsilateral and contralateral sides of the neural injury, fitting well with the fact that both arms are needed in common activities of daily living (ADLs), and can promote good functional recovery. In this work, the fusion of a gesture sensor and a haptic sensor with force feedback capabilities has enabled a bilateral rehabilitation training therapy. The Leap Motion gesture sensor detects the motion of the healthy hand, and the omega.7 device can detect and assist the paretic hand, according to the designed cooperative task paradigm, as much as needed, with active force feedback to accomplish the manipulation task. A virtual scenario has been built up, and the motion and force data facilitate instantaneous visual and audio feedback, as well as further analysis of the functional capabilities of the patient. This task-oriented bimanual training paradigm recruits the sensory, motor and cognitive aspects of the patient into one loop, encourages the active involvement of the patients into rehabilitation training, strengthens the cooperation of both the healthy and impaired hands, challenges the dexterous manipulation capability of the paretic hand, suits easy of use at home or centralized institutions and, thus, promises effective potentials for rehabilitation training.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="In-Data-Review"><PMID Version="1">26999149</PMID><DateCreated><Year>2016</Year><Month>03</Month><Day>22</Day></DateCreated><DateRevised><Year>2016</Year><Month>04</Month><Day>07</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1424-8220</ISSN><JournalIssue CitedMedium="Internet"><Volume>16</Volume><Issue>3</Issue><PubDate><Year>2016</Year></PubDate></JournalIssue><Title>Sensors (Basel, Switzerland)</Title><ISOAbbreviation>Sensors (Basel)</ISOAbbreviation></Journal><ArticleTitle>Fusion of Haptic and Gesture Sensors for Rehabilitation of Bimanual Coordination and Dexterous Manipulation.</ArticleTitle><Pagination><MedlinePgn></MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3390/s16030395</ELocationID><ELocationID EIdType="pii" ValidYN="Y">E395</ELocationID><Abstract><AbstractText>Disabilities after neural injury, such as stroke, bring tremendous burden to patients, families and society. Besides the conventional constrained-induced training with a paretic arm, bilateral rehabilitation training involves both the ipsilateral and contralateral sides of the neural injury, fitting well with the fact that both arms are needed in common activities of daily living (ADLs), and can promote good functional recovery. In this work, the fusion of a gesture sensor and a haptic sensor with force feedback capabilities has enabled a bilateral rehabilitation training therapy. The Leap Motion gesture sensor detects the motion of the healthy hand, and the omega.7 device can detect and assist the paretic hand, according to the designed cooperative task paradigm, as much as needed, with active force feedback to accomplish the manipulation task. A virtual scenario has been built up, and the motion and force data facilitate instantaneous visual and audio feedback, as well as further analysis of the functional capabilities of the patient. This task-oriented bimanual training paradigm recruits the sensory, motor and cognitive aspects of the patient into one loop, encourages the active involvement of the patients into rehabilitation training, strengthens the cooperation of both the healthy and impaired hands, challenges the dexterous manipulation capability of the paretic hand, suits easy of use at home or centralized institutions and, thus, promises effective potentials for rehabilitation training.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Yu</LastName><ForeName>Ningbo</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. nyu@nankai.edu.cn.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353, China. nyu@nankai.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xu</LastName><ForeName>Chang</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. xuch@mail.nankai.edu.cn.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353, China. xuch@mail.nankai.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Huanshuai</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. lihuanshuai@mail.nankai.edu.cn.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353, China. lihuanshuai@mail.nankai.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Kui</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. wangkui337@mail.nankai.edu.cn.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353, China. wangkui337@mail.nankai.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Liancheng</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Rehabilitation Center, Tianjin Hospital, Tianjin 300211, China. cmoweb@126.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Jingtai</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China. liujt@nankai.edu.cn.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353, China. liujt@nankai.edu.cn.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>03</Month><Day>18</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Sensors (Basel)</MedlineTA><NlmUniqueID>101204366</NlmUniqueID><ISSNLinking>1424-8220</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Nat Rev Neurosci. 2005 Sep;6(9):726-36</RefSource><PMID Version="1">16100518</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>IEEE Trans Rehabil Eng. 1998 Mar;6(1):75-87</RefSource><PMID 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