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The Novel Quantitative Technique for Assessment of Gait Symmetry Using Advanced Statistical Learning Algorithm
The accurate identification of gait asymmetry is very beneficial to the assessment of at-risk gait in the clinical applications. This paper investigated the application of classification method based on statistical learning algorithm to quantify gait symmetry based on the assumption that the degree...
Tallennettuna:
| Julkaisussa: | Biomed Res Int |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Hindawi Publishing Corporation
2015
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4332467/ https://ncbi.nlm.nih.gov/pubmed/25705672 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/528971 |
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