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Gait analysis is very significant for early diagnosis of gait diseases and treatment assessment. Gait analysis is used to assess, plan and to treat the individuals with conditions affecting their ability to walk. In recent years, doctors gain more clarity and exact disease assessment by means of machine learning technologies and this has gained much application of gait analysis. The patients suffering from movement disorders such as Parkinson’s disease (PD), Huntington’s disease (HD), and Amyotrophic Lateral Sclerosis (ALS) can best be diagnosed by gait analysis. For these reasons, analysis of the above said diseases are taken into consideration. In this paper we propose an effective method for detection of movement disorders using multi SVM technique.
A. Athisakthi, Dr.M.Pushparani. 1970. "Detection of Movement Disorders Using Multi SVM". Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 13 (GJCST Volume 13 Issue G1).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 147
Country: India
Subject: Global Journal of Computer Science and Technology
Authors: A. Athisakthi, Dr.M.Pushparani (PhD/Dr. count: 1)
View Count (all-time): 414
Total Views (Real + Logic): 9375
Total Downloads (simulated): 765
Publish Date: 2013 01, Tue
Monthly Totals (Real + Logic):
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