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The CNN Hip Accelerometer Posture (CHAP) Method for Classifying Sitting Patterns from Hip Accelerometers: A Validation Study

INTRODUCTION: Sitting patterns predict several healthy aging outcomes. These patterns can potentially be measured using hip-worn accelerometers, but current methods are limited by an inability to detect postural transitions. To overcome these limitations, we developed the Convolutional Neural Networ...

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Detalles Bibliográficos
Autores principales:	GREENWOOD-HICKMAN, MIKAEL ANNE, NAKANDALA, SUPUN, JANKOWSKA, MARTA M., ROSENBERG, DORI E., TUZ-ZAHRA, FATIMA, BELLETTIERE, JOHN, CARLSON, JORDAN, HIBBING, PAUL R., ZOU, JINGJING, LACROIX, ANDREA Z., KUMAR, ARUN, NATARAJAN, LOKI
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Lippincott Williams & Wilkins 2021
Materias:	SPECIAL COMMUNICATIONS: Methodological Advances
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516667/ https://www.ncbi.nlm.nih.gov/pubmed/34033622 http://dx.doi.org/10.1249/MSS.0000000000002705

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