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Principal Component Analysis of Gait Kinematics Data in Acute and Chronic Stroke Patients
Joint Authors
Milovanović, Ivana
Popović, Dejan B.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We present the joint angles analysis by means of the principal component analysis (PCA).
The data from twenty-seven acute and chronic hemiplegic patients were used and compared with data from five healthy subjects.
The data were collected during walking along a 10-meter long path.
The PCA was applied on a data set consisting of hip, knee, and ankle joint angles of the paretic and the nonparetic leg.
The results point to significant differences in joint synergies between the acute and chronic hemiplegic patients that are not revealed when applying typical methods for gait assessment (clinical scores, gait speed, and gait symmetry).
The results suggest that the PCA allows classification of the origin for the deficit in the gait when compared to healthy subjects; hence, the most appropriate treatment can be applied in the rehabilitation.
American Psychological Association (APA)
Milovanović, Ivana& Popović, Dejan B.. 2012. Principal Component Analysis of Gait Kinematics Data in Acute and Chronic Stroke Patients. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-488172
Modern Language Association (MLA)
Milovanović, Ivana& Popović, Dejan B.. Principal Component Analysis of Gait Kinematics Data in Acute and Chronic Stroke Patients. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-488172
American Medical Association (AMA)
Milovanović, Ivana& Popović, Dejan B.. Principal Component Analysis of Gait Kinematics Data in Acute and Chronic Stroke Patients. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-488172
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-488172