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Dynamic neural network approach to targeted balance assessment of individuals with and without neurological disease during non-steady-state locomotion
BACKGROUND: Clinical balance assessments often rely on functional tasks as a proxy for balance (e.g., Timed Up and Go). In contrast, analyses of balance in research settings incorporate quantitative biomechanical measurements (e.g., whole-body angular momentum, H) using motion capture techniques. Fu...
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| 出版年: | J Neuroeng Rehabil |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6625014/ https://ncbi.nlm.nih.gov/pubmed/31300001 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12984-019-0550-8 |
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