Incorporating haptic effects into three-dimensional virtual environments to train the hemiparetic upper extremity.
Identifieur interne : 001237 ( PubMed/Corpus ); précédent : 001236; suivant : 001238Incorporating haptic effects into three-dimensional virtual environments to train the hemiparetic upper extremity.
Auteurs : Sergei V. Adamovich ; Gerard G. Fluet ; Alma S. Merians ; Abraham Mathai ; Qinyin QiuSource :
- IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [ 1558-0210 ] ; 2009.
English descriptors
- KwdEn :
- Computer-Assisted Instruction (instrumentation), Computer-Assisted Instruction (methods), Equipment Design, Equipment Failure Analysis, Humans, Imaging, Three-Dimensional (instrumentation), Imaging, Three-Dimensional (methods), Paresis (rehabilitation), Robotics (instrumentation), Therapy, Computer-Assisted (instrumentation), Touch, User-Computer Interface.
- MESH :
- instrumentation : Computer-Assisted Instruction, Imaging, Three-Dimensional, Robotics, Therapy, Computer-Assisted.
- methods : Computer-Assisted Instruction, Imaging, Three-Dimensional.
- rehabilitation : Paresis.
- Equipment Design, Equipment Failure Analysis, Humans, Touch, User-Computer Interface.
Abstract
Current neuroscience has identified several constructs to increase the effectiveness of upper extremity rehabilitation. One is the use of progressive, skill acquisition-oriented training. Another approach emphasizes the use of bilateral activities. Building on these principles, this paper describes the design and feasibility testing of a robotic/virtual environment system designed to train the arm of persons who have had strokes. The system provides a variety of assistance modes, scalable workspaces and hand-robot interfaces allowing persons with strokes to train multiple joints in three dimensions. The simulations utilize assistance algorithms that adjust task difficulty both online and offline in relation to subject performance. Several distinctive haptic effects have been incorporated into the simulations. An adaptive master-slave relationship between the unimpaired and impaired arm encourages active movement of the subject's hemiparetic arm during a bimanual task. Adaptive anti-gravity support and damping stabilize the arm during virtual reaching and placement tasks. An adaptive virtual spring provides assistance to complete the movement if the subject is unable to complete the task in time. Finally, haptically rendered virtual objects help to shape the movement trajectory during a virtual placement task. A proof of concept study demonstrated this system to be safe, feasible and worthy of further study.
DOI: 10.1109/TNSRE.2009.2028830
PubMed: 19666345
Links to Exploration step
pubmed:19666345Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Incorporating haptic effects into three-dimensional virtual environments to train the hemiparetic upper extremity.</title><author><name sortKey="Adamovich, Sergei V" sort="Adamovich, Sergei V" uniqKey="Adamovich S" first="Sergei V" last="Adamovich">Sergei V. Adamovich</name><affiliation><nlm:affiliation>New Jersey Institute of Technology, Newark, NJ 07102, USA. sergei.adamovich@njit.edu</nlm:affiliation></affiliation></author><author><name sortKey="Fluet, Gerard G" sort="Fluet, Gerard G" uniqKey="Fluet G" first="Gerard G" last="Fluet">Gerard G. Fluet</name></author><author><name sortKey="Merians, Alma S" sort="Merians, Alma S" uniqKey="Merians A" first="Alma S" last="Merians">Alma S. Merians</name></author><author><name sortKey="Mathai, Abraham" sort="Mathai, Abraham" uniqKey="Mathai A" first="Abraham" last="Mathai">Abraham Mathai</name></author><author><name sortKey="Qiu, Qinyin" sort="Qiu, Qinyin" uniqKey="Qiu Q" first="Qinyin" last="Qiu">Qinyin Qiu</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2009">2009</date><idno type="doi">10.1109/TNSRE.2009.2028830</idno><idno type="RBID">pubmed:19666345</idno><idno type="pmid">19666345</idno><idno type="wicri:Area/PubMed/Corpus">001237</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Incorporating haptic effects into three-dimensional virtual environments to train the hemiparetic upper extremity.</title><author><name sortKey="Adamovich, Sergei V" sort="Adamovich, Sergei V" uniqKey="Adamovich S" first="Sergei V" last="Adamovich">Sergei V. Adamovich</name><affiliation><nlm:affiliation>New Jersey Institute of Technology, Newark, NJ 07102, USA. sergei.adamovich@njit.edu</nlm:affiliation></affiliation></author><author><name sortKey="Fluet, Gerard G" sort="Fluet, Gerard G" uniqKey="Fluet G" first="Gerard G" last="Fluet">Gerard G. Fluet</name></author><author><name sortKey="Merians, Alma S" sort="Merians, Alma S" uniqKey="Merians A" first="Alma S" last="Merians">Alma S. Merians</name></author><author><name sortKey="Mathai, Abraham" sort="Mathai, Abraham" uniqKey="Mathai A" first="Abraham" last="Mathai">Abraham Mathai</name></author><author><name sortKey="Qiu, Qinyin" sort="Qiu, Qinyin" uniqKey="Qiu Q" first="Qinyin" last="Qiu">Qinyin Qiu</name></author></analytic><series><title level="j">IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society</title><idno type="eISSN">1558-0210</idno><imprint><date when="2009" type="published">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Computer-Assisted Instruction (instrumentation)</term><term>Computer-Assisted Instruction (methods)</term><term>Equipment Design</term><term>Equipment Failure Analysis</term><term>Humans</term><term>Imaging, Three-Dimensional (instrumentation)</term><term>Imaging, Three-Dimensional (methods)</term><term>Paresis (rehabilitation)</term><term>Robotics (instrumentation)</term><term>Therapy, Computer-Assisted (instrumentation)</term><term>Touch</term><term>User-Computer Interface</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Computer-Assisted Instruction</term><term>Imaging, Three-Dimensional</term><term>Robotics</term><term>Therapy, Computer-Assisted</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Computer-Assisted Instruction</term><term>Imaging, Three-Dimensional</term></keywords><keywords scheme="MESH" qualifier="rehabilitation" xml:lang="en"><term>Paresis</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Equipment Design</term><term>Equipment Failure Analysis</term><term>Humans</term><term>Touch</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Current neuroscience has identified several constructs to increase the effectiveness of upper extremity rehabilitation. One is the use of progressive, skill acquisition-oriented training. Another approach emphasizes the use of bilateral activities. Building on these principles, this paper describes the design and feasibility testing of a robotic/virtual environment system designed to train the arm of persons who have had strokes. The system provides a variety of assistance modes, scalable workspaces and hand-robot interfaces allowing persons with strokes to train multiple joints in three dimensions. The simulations utilize assistance algorithms that adjust task difficulty both online and offline in relation to subject performance. Several distinctive haptic effects have been incorporated into the simulations. An adaptive master-slave relationship between the unimpaired and impaired arm encourages active movement of the subject's hemiparetic arm during a bimanual task. Adaptive anti-gravity support and damping stabilize the arm during virtual reaching and placement tasks. An adaptive virtual spring provides assistance to complete the movement if the subject is unable to complete the task in time. Finally, haptically rendered virtual objects help to shape the movement trajectory during a virtual placement task. A proof of concept study demonstrated this system to be safe, feasible and worthy of further study.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">19666345</PMID><DateCreated><Year>2009</Year><Month>11</Month><Day>05</Day></DateCreated><DateCompleted><Year>2010</Year><Month>01</Month><Day>13</Day></DateCompleted><DateRevised><Year>2014</Year><Month>12</Month><Day>07</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1558-0210</ISSN><JournalIssue CitedMedium="Internet"><Volume>17</Volume><Issue>5</Issue><PubDate><Year>2009</Year><Month>Oct</Month></PubDate></JournalIssue><Title>IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society</Title><ISOAbbreviation>IEEE Trans Neural Syst Rehabil Eng</ISOAbbreviation></Journal><ArticleTitle>Incorporating haptic effects into three-dimensional virtual environments to train the hemiparetic upper extremity.</ArticleTitle><Pagination><MedlinePgn>512-20</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1109/TNSRE.2009.2028830</ELocationID><Abstract><AbstractText>Current neuroscience has identified several constructs to increase the effectiveness of upper extremity rehabilitation. One is the use of progressive, skill acquisition-oriented training. Another approach emphasizes the use of bilateral activities. Building on these principles, this paper describes the design and feasibility testing of a robotic/virtual environment system designed to train the arm of persons who have had strokes. The system provides a variety of assistance modes, scalable workspaces and hand-robot interfaces allowing persons with strokes to train multiple joints in three dimensions. The simulations utilize assistance algorithms that adjust task difficulty both online and offline in relation to subject performance. Several distinctive haptic effects have been incorporated into the simulations. An adaptive master-slave relationship between the unimpaired and impaired arm encourages active movement of the subject's hemiparetic arm during a bimanual task. Adaptive anti-gravity support and damping stabilize the arm during virtual reaching and placement tasks. An adaptive virtual spring provides assistance to complete the movement if the subject is unable to complete the task in time. Finally, haptically rendered virtual objects help to shape the movement trajectory during a virtual placement task. A proof of concept study demonstrated this system to be safe, feasible and worthy of further study.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Adamovich</LastName><ForeName>Sergei V</ForeName><Initials>SV</Initials><AffiliationInfo><Affiliation>New Jersey Institute of Technology, Newark, NJ 07102, USA. sergei.adamovich@njit.edu</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fluet</LastName><ForeName>Gerard G</ForeName><Initials>GG</Initials></Author><Author ValidYN="Y"><LastName>Merians</LastName><ForeName>Alma S</ForeName><Initials>AS</Initials></Author><Author ValidYN="Y"><LastName>Mathai</LastName><ForeName>Abraham</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Qiu</LastName><ForeName>Qinyin</ForeName><Initials>Q</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>H133E050011</GrantID><Agency>PHS HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>HD 42161</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>HD 58301</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01 HD058301</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01 HD058301-01A2</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2009</Year><Month>08</Month><Day>07</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>IEEE Trans Neural Syst Rehabil 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