Mapping Raw Acceleration Data on ActiGraph Counts

Autor:	Carlos Alberola-López, José Ramón Garmendia-Leiza, Jesus Maria Andres-de-Llano, Rodrigo de-Luis-Garcia, Elena Martín-González, J. P. Casaseca-de-la-Higuera
Rok vydání:	2018
Předmět:	Artificial neural network Computer science business.industry 030229 sport sciences Machine learning computer.software_genre Regression 03 medical and health sciences Acceleration 0302 clinical medicine Clinical diagnosis Artificial intelligence business computer 030217 neurology & neurosurgery
Zdroj:	TEEM
DOI:	10.1145/3284179.3284260
Popis:	A method for mapping actimetry data between two platforms has been carried out; one platform is the CE and FDA approved ActiGraph wGT3X-BT, valid in clinical diagnosis, and the second one is Microsoft Band 2 Smartband, available for the general public. The method consists of a regression performed using machine learning technique, specifically, different configurations of neural networks have been tested. Access to the data has been achieved by means of an in-house mobile application.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f085db29d6f115dbca79d0e2a2a09259 https://doi.org/10.1145/3284179.3284260 Zobrazit plný text záznamu