DocumentCode
2922140
Title
Arm path fragmentation and spatiotemporal features of hand reaching in healthy subjects and stroke patients
Author
Liebermann, Dario G. ; Levin, Mindy F. ; McIntyre, Joseph ; Weiss, Patrice Tamar L ; Berman, Sigal
Author_Institution
Phys. Therapy Dept., Tel Aviv Univ., Tel Aviv, Israel
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
5242
Lastpage
5245
Abstract
Arm motion in healthy humans is characterized by smooth and relatively short paths. The current study focused on 3D reaching in stroke patients. Sixteen right-hemiparetic stroke patients and 8 healthy adults performed 42 reaching movements towards 3 visual targets located at an extended arm distance. Performance was assessed in terms of spatial and temporal features of the movement; i.e., hand path, arm posture and smoothness. Differences between groups and within subjects were hypothesized for spatial and temporal aspects of reaching under the assumption that both are independent. As expected, upper limb motion of patients was characterized by longer and jerkier hand paths and slower speeds. Assessment of the number of sub-movements within each movement did not clearly discriminate between groups. Principal component analyses revealed specific clusters of either spatial or temporal measures, which accounted for a large proportion of the variance in patients but not in healthy controls. These findings support the notion of a separation between spatial and temporal features of movement. Stroke patients may fail to integrate the two aspects when executing reaching movements towards visual targets.
Keywords
biomechanics; diseases; principal component analysis; spatiotemporal phenomena; arm motion; arm path fragmentation; arm posture; arm smoothness; hand path; hand reaching; principal component analysis; right-hemiparetic stroke; spatiotemporal features; upper limb motion; Electronic mail; Kinematics; Principal component analysis; Robots; Spatiotemporal phenomena; Three dimensional displays; Visualization; Arm Kinematics; Hand Reaching; Movement Fragmentation; Principal Component Analysis; Stroke; Aged; Aged, 80 and over; Analysis of Variance; Arm; Biomechanics; Female; Hand; Health; Humans; Male; Middle Aged; Movement; Posture; Principal Component Analysis; Stroke; Time Factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5626297
Filename
5626297
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