Pattern classification of kinematic and kinetic running data to distinguish gender, shod/barefoot and injury groups with feature ranking-Reference-Cited by-同舟云学术

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Pattern classification of kinematic and kinetic running data to distinguish gender, shod/barefoot and injury groups with feature ranking

Published:2012-05 Issue:5 Volume:15 Page:467-474
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Eskofier Bjoern M.,Kraus Martin,Worobets Jay T.,Stefanyshyn Darren J.,Nigg Benno M.

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/10255842.2010.542153

Reference28 articles.

1. Discrete Cosine Transform

2. Biomechanical changes at the hip, knee, and ankle joints during gait are associated with knee osteoarthritis severity

3. A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data

4. Biomechanical analysis of the stance phase during barefoot and shod running

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