In-lab versus at-home activity recognition in ambulatory subjects with incomplete spinal cord injury

BACKGROUND: Although commercially available activity trackers can aid in tracking therapy and recovery of patients, most devices perform poorly for patients with irregular movement patterns. Standard machine learning techniques can be applied on recorded accelerometer signals in order to classify th...

Descripción completa

Detalles Bibliográficos
Autores principales: Albert, Mark V., Azeze, Yohannes, Courtois, Michael, Jayaraman, Arun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5294819/
https://www.ncbi.nlm.nih.gov/pubmed/28166824
http://dx.doi.org/10.1186/s12984-017-0222-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5294819/
https://www.ncbi.nlm.nih.gov/pubmed/28166824
http://dx.doi.org/10.1186/s12984-017-0222-5

Ejemplares similares