Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease

Remote assessment of the gait of older adults (OAs) during daily living using wrist-worn sensors has the potential to augment clinical care and mobility research. However, hand movements can degrade gait detection from wrist-sensor recordings. To address this challenge, we developed an anomaly detec...

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Detalles Bibliográficos
Autores principales: Brand, Yonatan E., Schwartz, Dafna, Gazit, Eran, Buchman, Aron S., Gilad-Bachrach, Ran, Hausdorff, Jeffrey M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502704/
https://www.ncbi.nlm.nih.gov/pubmed/36146441
http://dx.doi.org/10.3390/s22187094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502704/
https://www.ncbi.nlm.nih.gov/pubmed/36146441
http://dx.doi.org/10.3390/s22187094

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