Recognizing Manual Activities Using Wearable Inertial Measurement Units: Clinical Application for Outcome Measurement

The ability to monitor activities of daily living in the natural environments of patients could become a valuable tool for various clinical applications. In this paper, we show that a simple algorithm is capable of classifying manual activities of daily living (ADL) into categories using data from w...

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Detalles Bibliográficos
Autores principales: El Khoury, Ghady, Penta, Massimo, Barbier, Olivier, Libouton, Xavier, Thonnard, Jean-Louis, Lefèvre, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125825/
https://www.ncbi.nlm.nih.gov/pubmed/34067190
http://dx.doi.org/10.3390/s21093245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125825/
https://www.ncbi.nlm.nih.gov/pubmed/34067190
http://dx.doi.org/10.3390/s21093245

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