Literature DB >> 6643543

Quantitative gait evaluation of hip diseases using principal component analysis.

S Yamamoto, Y Suto, H Kawamura, T Hashizume, S Kakurai, S Sugahara.   

Abstract

The measurement of five gait parameters, namely, joint angular displacement of lower extremities, floor reaction forces, trajectory for a point of force application, temporal factor and distance factor has been performed with ease and high speed using mini-computer on-line real-time processing. Gait data of 211 patients with hip diseases was normalized, quantified and summarized by the principal component analysis. A 'gait evaluation plane' was formed according to the results obtained by the principal component analysis. The gait evaluation using the plane was compared with clinical conditions of patients, and it was evident that this system can evaluate the recovery of the gait by treatment.

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Year:  1983        PMID: 6643543     DOI: 10.1016/0021-9290(83)90081-7

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Feature selection of stabilometric parameters based on principal component analysis.

Authors:  L Rocchi; L Chiari; A Cappello
Journal:  Med Biol Eng Comput       Date:  2004-01       Impact factor: 2.602

2.  Quantification of gait abnormalities on the basis of continuous foot-force measurement: correlation between quantitative indices and visual rating.

Authors:  S Miyazaki; T Kubota
Journal:  Med Biol Eng Comput       Date:  1984-01       Impact factor: 2.602

3.  A review on the coordinative structure of human walking and the application of principal component analysis.

Authors:  Xinguang Wang; Nicholas O'Dwyer; Mark Halaki
Journal:  Neural Regen Res       Date:  2013-03-05       Impact factor: 5.135

  3 in total

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