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Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors’ Data

BACKGROUND: Time-resolved quantification of physical activity can contribute to both personalized medicine and epidemiological research studies, for example, managing and identifying triggers of asthma exacerbations. A growing number of reportedly accurate machine learning algorithms for human activ...

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Detalles Bibliográficos
Autores principales:	Li, Kenan, Habre, Rima, Deng, Huiyu, Urman, Robert, Morrison, John, Gilliland, Frank D, Ambite, José Luis, Stripelis, Dimitris, Chiang, Yao-Yi, Lin, Yijun, Bui, Alex AT, King, Christine, Hosseini, Anahita, Vliet, Eleanne Van, Sarrafzadeh, Majid, Eckel, Sandrah P
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2019
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386646/ https://www.ncbi.nlm.nih.gov/pubmed/30730297 http://dx.doi.org/10.2196/11201

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