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

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

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 precisely. Objective: To identify the risk of falls in the elderly through electromyographic signals...

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Detalles Bibliográficos
Autores principales: Leónidas Arias-Poblete, Sebastián Álvarez‐Arangua, Daniel Jerez-Mayorga, Claudio Chamorro, Paloma Ferrero‐Hernández, Gerson Ferrari, Claudio Farías‐Valenzuela
Formato: Artículo
Lenguaje:English
Publicado: Universidad de Murcia 2023-06-01
Colección:Sport TK
Materias:
Older adults
Fall risk
Gait
Electromyography
Support vector machines
Acceso en línea:https://revistas.um.es/sportk/article/view/575281

Internet

https://revistas.um.es/sportk/article/view/575281

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