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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Detalles Bibliográficos
Autores principales: Remedios, Sarah M., Armstrong, Daniel P., Graham, Ryan B., Fischer, Steven L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212384/
https://www.ncbi.nlm.nih.gov/pubmed/32426346
http://dx.doi.org/10.3389/fbioe.2020.00364

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212384/
https://www.ncbi.nlm.nih.gov/pubmed/32426346
http://dx.doi.org/10.3389/fbioe.2020.00364

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