Fall risk detection mechanism in the elderly, based on electromyographic signals, through the use of artificial intelligence

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Date

2023-06-25

Document type

journal article

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Investigación
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Authors

Arias-Poblete, Leónidas, Álvarez‐Arangua, Sebastián, Jerez-Mayorga, Daniel, Chamorro, Claudio, Ferrero‐Hernández, Paloma, Ferrari, Gerson, Farías‐Valenzuela, Claudio

Publisher

Servicio de Publicaciones de la Universidad de Murcia

URI

https://repositorio.udla.cl/handle/udla/1562

DOI

https://doi.org/10.6018/sportk.575281

Keywords

Electromyography, Fall risk, Gait, Older adults, Support vector machines

Citation

Sport TK, 12, 5. https://doi.org/10.6018/sportk.575281

Abstract

Introduction: The tests used to classify older adults at risk of falls are questioned in literature. Tools from the field of artificial intelligence are an alternative to classify older adults more pr...

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