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Identifying bedrest using 24-hour waist or wrist accelerometry in adults
April 2018
Objectives: To adapt and refine a previously-developed youth-specific algorithm to identify bedrest for use in adults. The algorithm is based on using an automated decision tree (DT) analysis of accelerometry data.
Moderate intensity physical activity associates with CSF biomarkers in a cohort at risk for Alzheimer’s disease
Using Bluetooth proximity sensing to determine where office workers spend time at work
Impact of different recruitment strategies on accelerometry adherence and resulting physical activity data: A secondary analysis
Accelerometer-measured daily activity levels and related factors in patients with heart failure