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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2005
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| Materias: | |
| 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 |