Stepping towards More Intuitive Physical Activity Metrics with Wrist-Worn Accelerometry: Validity of an Open-Source Step-Count Algorithm

Stepping towards More Intuitive Physical Activity Metrics with Wrist-Worn Accelerometry: Validity of an Open-Source Step-Count Algorithm

Stepping-based targets such as the number of steps per day provide an intuitive and commonly used method of prescribing and self-monitoring physical activity goals. Physical activity surveillance is increasingly being obtained from wrist-worn accelerometers. However, the ability to derive stepping-b...

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Bibliographic Details
Main Authors: Benjamin D. Maylor, Charlotte L. Edwardson, Paddy C. Dempsey, Matthew R. Patterson, Tatiana Plekhanova, Tom Yates, Alex V. Rowlands
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
physical activity
accelerometry
ambulatory measurement
algorithms
Online Access:https://www.mdpi.com/1424-8220/22/24/9984

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