NDLI: Effect analysis of age and gender on postural stability using PCA decomposition

Content Provider	IEEE Xplore Digital Library
Author	Maatar, D. Fournier, R. Naitali, A. Lachiri, Z.
Copyright Year	2011
Description	Author affiliation: UR, Traitement du Signal de l'Image et Reconnaissance des Formes (UR-TSIRF), École Nat. Des Ingénieurs de Tunis, Tunisie (Maatar, D.; Lachiri, Z.) \|\| Laboratoire Image, signaux et Systèmes Intelligents (LISSI), Université Paris Est Créteil (UPEC), Paris France (Fournier, R.; Naitali, A.)
Abstract	This paper presents an analysis of stabilogram using the Principal Component Analysis (PCA) decomposition. It shows also the effects of different aspects on the human postural stability. The stabilogram measures either lateral displacement or forward-backward displacement of a subject. These measurements are taken to quantify posture while standing in one of four controlled positions. By using Principal Component Analysis (PCA), the stabilogram is decomposed into three components with biological meaning. The components are trend, rambling and trembling. This paper proposes to create analytic signals for rambling (deterministic) and trembling (random) and use the resulting complex trajectories to identify the effect of age and gender on postural stability. The proposed method employs a signal analysis front end (PCA analysis) and a signal interpretation backend (clustering of complex trajectories). Experimental results show the efficiency of the PCA analysis to identify the effect of age and gender on the postural stability. These results are able to discriminate between control and young groups and indicate a less well-controlled posture for control subjects (34.5 ± 7.5yrs) relatively to young subjects (22.5 ± 2.5yrs). Results are also able to discriminate between female subjects and male subjects and indicate a less well-controlled posture for female subjects relatively to males.
Starting Page	349
Ending Page	354
File Size	280243
Page Count	6
File Format	PDF
ISBN	9781457719202
ISSN	21623562
e-ISBN	9781457719219
DOI	10.1109/SiPS.2011.6089001
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-04
Publisher Place	Lebanon
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Principal component analysis Stability analysis Trajectory Wavelet analysis Senior citizens Antenna measurements Aging trembling stabilogram age gender PCA rambling
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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