Towards a movement quantification system capable of automatic evaluation of upper limb motor function after neurological injury.
Identifieur interne : 000298 ( PubMed/Checkpoint ); précédent : 000297; suivant : 000299Towards a movement quantification system capable of automatic evaluation of upper limb motor function after neurological injury.
Auteurs : Virgílio F. Bento [Portugal] ; Vitor T. Cruz ; David D. Ribeiro ; João P S. CunhaSource :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [ 1557-170X ] ; 2011.
Descripteurs français
- KwdFr :
- Accident vasculaire cérébral (diagnostic), Accident vasculaire cérébral (physiopathologie), Accélération, Analyse de panne d'appareillage, Bras (physiopathologie), Conception d'appareillage, Diagnostic assisté par ordinateur (instrumentation), Humains, Magnétométrie (instrumentation), Mouvement, Surveillance ambulatoire (instrumentation).
- MESH :
- diagnostic : Accident vasculaire cérébral.
- physiopathologie : Accident vasculaire cérébral, Bras.
- instrumentation : Accélération, Analyse de panne d'appareillage, Conception d'appareillage, Diagnostic assisté par ordinateur, Humains, Magnétométrie, Mouvement, Surveillance ambulatoire.
English descriptors
- KwdEn :
- MESH :
- diagnosis : Stroke.
- instrumentation : Diagnosis, Computer-Assisted, Magnetometry, Monitoring, Ambulatory.
- physiopathology : Arm, Stroke.
- Acceleration, Equipment Design, Equipment Failure Analysis, Humans, Movement.
Abstract
The paper proposes an integrated system to automatically assess motor function after neurological injury. A portable motion capture system was developed in order to obtain all the relevant three dimensional kinematics of the upper limb movement. These kinematics were analyzed by means of a decision tree classifier which features where inferred from the Functional Ability Score (FAS) of the Wolf Motor Function Test (WMFT). In addition, the system is able to correctly quantify the performance time of each selected task of the WMFT. In terms of the FAS the system and the clinician show coherent results for 3 out of 5 patients in the first task tested and 4 out of 5 for the second task tested. Regarding performance time, the mean error between the system and the clinician was of 0.216 s for the 25 trials performed (5 patients, 5 tasks each). These results represent an important proof of concept towards a system capable of precisely evaluate upper limb motor function after neurological injury.
DOI: 10.1109/IEMBS.2011.6091392
PubMed: 22255572
Affiliations:
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pubmed:22255572Le document en format XML
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Cruz</name></author><author><name sortKey="Ribeiro, David D" sort="Ribeiro, David D" uniqKey="Ribeiro D" first="David D" last="Ribeiro">David D. Ribeiro</name></author><author><name sortKey="Cunha, Joao P S" sort="Cunha, Joao P S" uniqKey="Cunha J" first="João P S" last="Cunha">João P S. 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Bento</name><affiliation wicri:level="1"><nlm:affiliation>Institute of Electronics and Telematics Engineering of Aveiro, University of Aveiro, Aveiro, Portugal. vbento@ua.pt</nlm:affiliation><country xml:lang="fr">Portugal</country><wicri:regionArea>Institute of Electronics and Telematics Engineering of Aveiro, University of Aveiro, Aveiro</wicri:regionArea><wicri:noRegion>Aveiro</wicri:noRegion></affiliation></author><author><name sortKey="Cruz, Vitor T" sort="Cruz, Vitor T" uniqKey="Cruz V" first="Vitor T" last="Cruz">Vitor T. Cruz</name></author><author><name sortKey="Ribeiro, David D" sort="Ribeiro, David D" uniqKey="Ribeiro D" first="David D" last="Ribeiro">David D. Ribeiro</name></author><author><name sortKey="Cunha, Joao P S" sort="Cunha, Joao P S" uniqKey="Cunha J" first="João P S" last="Cunha">João P S. Cunha</name></author></analytic><series><title level="j">Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference</title><idno type="ISSN">1557-170X</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Acceleration</term><term>Arm (physiopathology)</term><term>Diagnosis, Computer-Assisted (instrumentation)</term><term>Equipment Design</term><term>Equipment Failure Analysis</term><term>Humans</term><term>Magnetometry (instrumentation)</term><term>Monitoring, Ambulatory (instrumentation)</term><term>Movement</term><term>Stroke (diagnosis)</term><term>Stroke (physiopathology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Accident vasculaire cérébral (diagnostic)</term><term>Accident vasculaire cérébral (physiopathologie)</term><term>Accélération</term><term>Analyse de panne d'appareillage</term><term>Bras (physiopathologie)</term><term>Conception d'appareillage</term><term>Diagnostic assisté par ordinateur (instrumentation)</term><term>Humains</term><term>Magnétométrie (instrumentation)</term><term>Mouvement</term><term>Surveillance ambulatoire (instrumentation)</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Stroke</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Accident vasculaire cérébral</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Diagnosis, Computer-Assisted</term><term>Magnetometry</term><term>Monitoring, Ambulatory</term></keywords><keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Accident vasculaire cérébral</term><term>Bras</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Arm</term><term>Stroke</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Acceleration</term><term>Equipment Design</term><term>Equipment Failure Analysis</term><term>Humans</term><term>Movement</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="fr"><term>Accélération</term><term>Analyse de panne d'appareillage</term><term>Conception d'appareillage</term><term>Diagnostic assisté par ordinateur</term><term>Humains</term><term>Magnétométrie</term><term>Mouvement</term><term>Surveillance ambulatoire</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The paper proposes an integrated system to automatically assess motor function after neurological injury. A portable motion capture system was developed in order to obtain all the relevant three dimensional kinematics of the upper limb movement. These kinematics were analyzed by means of a decision tree classifier which features where inferred from the Functional Ability Score (FAS) of the Wolf Motor Function Test (WMFT). In addition, the system is able to correctly quantify the performance time of each selected task of the WMFT. In terms of the FAS the system and the clinician show coherent results for 3 out of 5 patients in the first task tested and 4 out of 5 for the second task tested. Regarding performance time, the mean error between the system and the clinician was of 0.216 s for the 25 trials performed (5 patients, 5 tasks each). These results represent an important proof of concept towards a system capable of precisely evaluate upper limb motor function after neurological injury.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">22255572</PMID><DateCreated><Year>2012</Year><Month>01</Month><Day>18</Day></DateCreated><DateCompleted><Year>2012</Year><Month>06</Month><Day>18</Day></DateCompleted><DateRevised><Year>2014</Year><Month>08</Month><Day>21</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1557-170X</ISSN><JournalIssue CitedMedium="Internet"><Volume>2011</Volume><PubDate><Year>2011</Year></PubDate></JournalIssue><Title>Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference</Title><ISOAbbreviation>Conf Proc IEEE Eng Med Biol Soc</ISOAbbreviation></Journal><ArticleTitle>Towards a movement quantification system capable of automatic evaluation of upper limb motor function after neurological injury.</ArticleTitle><Pagination><MedlinePgn>5456-60</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1109/IEMBS.2011.6091392</ELocationID><Abstract><AbstractText>The paper proposes an integrated system to automatically assess motor function after neurological injury. A portable motion capture system was developed in order to obtain all the relevant three dimensional kinematics of the upper limb movement. These kinematics were analyzed by means of a decision tree classifier which features where inferred from the Functional Ability Score (FAS) of the Wolf Motor Function Test (WMFT). In addition, the system is able to correctly quantify the performance time of each selected task of the WMFT. In terms of the FAS the system and the clinician show coherent results for 3 out of 5 patients in the first task tested and 4 out of 5 for the second task tested. Regarding performance time, the mean error between the system and the clinician was of 0.216 s for the 25 trials performed (5 patients, 5 tasks each). 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Cruz</name><name sortKey="Cunha, Joao P S" sort="Cunha, Joao P S" uniqKey="Cunha J" first="João P S" last="Cunha">João P S. Cunha</name><name sortKey="Ribeiro, David D" sort="Ribeiro, David D" uniqKey="Ribeiro D" first="David D" last="Ribeiro">David D. Ribeiro</name></noCountry><country name="Portugal"><noRegion><name sortKey="Bento, Virgilio F" sort="Bento, Virgilio F" uniqKey="Bento V" first="Virgílio F" last="Bento">Virgílio F. Bento</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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