An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson’s Disease

The use of wearable sensors allows continuous recordings of physical activity from participants in free-living or at-home clinical studies. The large amount of data collected demands automatic analysis pipelines to extract gait parameters that can be used as clinical endpoints. We introduce a deep l...

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Detalles Bibliográficos
Autores principales: Peraza, Luis R., Kinnunen, Kirsi M., McNaney, Roisin, Craddock, Ian J., Whone, Alan L., Morgan, Catherine, Joules, Richard, Wolz, Robin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707484/
https://www.ncbi.nlm.nih.gov/pubmed/34960379
http://dx.doi.org/10.3390/s21248286

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707484/
https://www.ncbi.nlm.nih.gov/pubmed/34960379
http://dx.doi.org/10.3390/s21248286

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