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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...
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| Veröffentlicht in: | Biomed Res Int |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi Publishing Corporation
2015
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| Schlagworte: | |
| Online Zugang: | 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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