Using hierarchical clustering methods to classify motor activities of COPD patients from wearable sensor data

BACKGROUND: Advances in miniature sensor technology have led to the development of wearable systems that allow one to monitor motor activities in the field. A variety of classifiers have been proposed in the past, but little has been done toward developing systematic approaches to assess the feasibi...

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Detalles Bibliográficos
Autores principales: Sherrill, Delsey M, Moy, Marilyn L, Reilly, John J, Bonato, Paolo
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1188068/
https://www.ncbi.nlm.nih.gov/pubmed/15987518
http://dx.doi.org/10.1186/1743-0003-2-16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1188068/
https://www.ncbi.nlm.nih.gov/pubmed/15987518
http://dx.doi.org/10.1186/1743-0003-2-16

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