Using hidden markov models to improve quantifying physical activity in accelerometer data - a simulation study.

INTRODUCTION: The use of accelerometers to objectively measure physical activity (PA) has become the most preferred method of choice in recent years. Traditionally, cutpoints are used to assign impulse counts recorded by the devices to sedentary and activity ranges. Here, hidden Markov models (HMM)...

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Bibliographic Details
Main Authors: Vitali Witowski, Ronja Foraita, Yannis Pitsiladis, Iris Pigeot, Norman Wirsik
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4251969?pdf=render