HapticV1, PubMed, Corpus, bibRecord, 000D01

Upper limb assessment using a Virtual Peg Insertion Test.

Identifieur interne : 000D01 ( PubMed/Corpus ); précédent : 000D00; suivant : 000D02

Upper limb assessment using a Virtual Peg Insertion Test.

Auteurs : Marie-Christine Fluet ; Olivier Lambercy ; Roger Gassert

Source :

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] [ 1945-7901 ] ; 2011.

RBID : pubmed:22275552

English descriptors

KwdEn :
- Adult, Arm (physiology), Arm (physiopathology), Biomechanical Phenomena, Female, Hand (physiology), Hand (physiopathology), Humans, Male, Psychomotor Performance (physiology), Stroke (physiopathology), Upper Extremity (physiology), Upper Extremity (physiopathology).
MESH :
- physiology : Arm, Hand, Psychomotor Performance, Upper Extremity.
- physiopathology : Arm, Hand, Stroke, Upper Extremity.
- Adult, Biomechanical Phenomena, Female, Humans, Male.

Abstract

This paper presents the initial evaluation of a Virtual Peg Insertion Test developed to assess sensorimotor functions of arm and hand using an instrumented tool, virtual reality and haptic feedback. Nine performance parameters derived from kinematic and kinetic data were selected and compared between two groups of healthy subjects performing the task with the dominant and non-dominant hand, as well as with a group of chronic stroke subjects suffering from different levels of upper limb impairment. Results showed significantly smaller grasping forces applied by the stroke subjects compared to the healthy subjects. The grasping force profiles suggest a poor coordination between position and grasping for the stroke subjects, and the collision forces with the virtual board were found to be indicative of sensory deficits. These preliminary results suggest that the analyzed parameters could be valid indicators of impairment.

DOI: 10.1109/ICORR.2011.5975348
PubMed: 22275552

Links to Exploration step

pubmed:22275552

Le document en format XML

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<author><name sortKey="Fluet, Marie Christine" sort="Fluet, Marie Christine" uniqKey="Fluet M" first="Marie-Christine" last="Fluet">Marie-Christine Fluet</name>
<affiliation><nlm:affiliation>Rehabilitation Engineering Lab, ETH Zurich, Switzerland. mfluet@ethz.ch</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Lambercy, Olivier" sort="Lambercy, Olivier" uniqKey="Lambercy O" first="Olivier" last="Lambercy">Olivier Lambercy</name>
</author>
<author><name sortKey="Gassert, Roger" sort="Gassert, Roger" uniqKey="Gassert R" first="Roger" last="Gassert">Roger Gassert</name>
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<author><name sortKey="Lambercy, Olivier" sort="Lambercy, Olivier" uniqKey="Lambercy O" first="Olivier" last="Lambercy">Olivier Lambercy</name>
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<series><title level="j">IEEE ... International Conference on Rehabilitation Robotics : [proceedings]</title>
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<term>Upper Extremity (physiopathology)</term>
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<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Arm</term>
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<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Biomechanical Phenomena</term>
<term>Female</term>
<term>Humans</term>
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<front><div type="abstract" xml:lang="en">This paper presents the initial evaluation of a Virtual Peg Insertion Test developed to assess sensorimotor functions of arm and hand using an instrumented tool, virtual reality and haptic feedback. Nine performance parameters derived from kinematic and kinetic data were selected and compared between two groups of healthy subjects performing the task with the dominant and non-dominant hand, as well as with a group of chronic stroke subjects suffering from different levels of upper limb impairment. Results showed significantly smaller grasping forces applied by the stroke subjects compared to the healthy subjects. The grasping force profiles suggest a poor coordination between position and grasping for the stroke subjects, and the collision forces with the virtual board were found to be indicative of sensory deficits. These preliminary results suggest that the analyzed parameters could be valid indicators of impairment.</div>
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<PubDate><Year>2011</Year>
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<Title>IEEE ... International Conference on Rehabilitation Robotics : [proceedings]</Title>
<ISOAbbreviation>IEEE Int Conf Rehabil Robot</ISOAbbreviation>
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<ArticleTitle>Upper limb assessment using a Virtual Peg Insertion Test.</ArticleTitle>
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<Abstract><AbstractText>This paper presents the initial evaluation of a Virtual Peg Insertion Test developed to assess sensorimotor functions of arm and hand using an instrumented tool, virtual reality and haptic feedback. Nine performance parameters derived from kinematic and kinetic data were selected and compared between two groups of healthy subjects performing the task with the dominant and non-dominant hand, as well as with a group of chronic stroke subjects suffering from different levels of upper limb impairment. Results showed significantly smaller grasping forces applied by the stroke subjects compared to the healthy subjects. The grasping force profiles suggest a poor coordination between position and grasping for the stroke subjects, and the collision forces with the virtual board were found to be indicative of sensory deficits. These preliminary results suggest that the analyzed parameters could be valid indicators of impairment.</AbstractText>
<CopyrightInformation>© 2011 IEEE</CopyrightInformation>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D020521">Stroke</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D034941">Upper Extremity</DescriptorName>
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Upper limb assessment using a Virtual Peg Insertion Test.

Upper limb assessment using a Virtual Peg Insertion Test.

Source :

English descriptors

Abstract

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki