Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis

Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis

<p>Abstract</p> <p>Background</p> <p>The computer-aided identification of specific gait patterns is an important issue in the assessment of Parkinson's disease (PD). In this study, a computer vision-based gait analysis approach is developed to assist the clinical a...

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Bibliographic Details
Main Authors: Chen Shih-Wei, Lin Sheng-Huang, Liao Lun-De, Lai Hsin-Yi, Pei Yu-Cheng, Kuo Te-Son, Lin Chin-Teng, Chang Jyh-Yeong, Chen You-Yin, Lo Yu-Chun, Chen Shin-Yuan, Wu Robby, Tsang Siny
Format: Article
Language:English
Published: BMC 2011-11-01
Series:BioMedical Engineering OnLine
Subjects:
Parkinson's disease
Kernel-based principal component analysis
power spectrum
classification, quantification
Online Access:http://www.biomedical-engineering-online.com/content/10/1/99

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http://www.biomedical-engineering-online.com/content/10/1/99

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