Auto detection and segmentation of daily living activities during a Timed Up and Go task in people with Parkinson’s disease using multiple inertial sensors

BACKGROUND: Wearable sensors have the potential to provide clinicians with access to motor performance of people with movement disorder as they undergo intervention. However, sensor data often have to be manually classified and segmented before they can be processed into clinical metrics. This proce...

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Detalles Bibliográficos
Autores principales: Nguyen, Hung, Lebel, Karina, Boissy, Patrick, Bogard, Sarah, Goubault, Etienne, Duval, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384139/
https://www.ncbi.nlm.nih.gov/pubmed/28388939
http://dx.doi.org/10.1186/s12984-017-0241-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384139/
https://www.ncbi.nlm.nih.gov/pubmed/28388939
http://dx.doi.org/10.1186/s12984-017-0241-2

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