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Exploring the Application of Pattern Recognition and Machine Learning for Identifying Movement Phenotypes During Deep Squat and Hurdle Step Movements
BACKGROUND: Movement screens are increasingly used in sport and rehabilitation to evaluate movement competency. However, common screens are often evaluated using subjective visual detection of a priori prescribed discrete movement features (e.g., spine angle at maximum squat depth) and may not accou...
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| Vydáno v: | Front Bioeng Biotechnol |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Frontiers Media S.A.
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7212384/ https://ncbi.nlm.nih.gov/pubmed/32426346 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fbioe.2020.00364 |
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