Sitting Position

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Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods.

Medicine and science in sports and exercise Jul 1, 2018
PURPOSE: This study aimed to improve estimates of sitting time from hip-worn accelerometers used in large cohort studies by using machine learning methods developed on free-living activPAL data.
Humans Machine Learning Algorithms Female Aged Breast Neoplasms Cross-Sectional Studies Middle Aged Exercise Pilot Projects Thigh Monitoring, Ambulatory Accelerometry Sitting Position Hip Survivors
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