Analytical Validation of Wrist-Worn Accelerometer-Based Step-Count Methods during Structured and Free-Living Activities
Introduction: Wrist-worn accelerometers can capture stepping behavior passively, continuously, and remotely. Methods utilizing peak detection, threshold crossing, and frequency analysis have been used to detect steps from wrist-worn accelerometer data, but it remains unclear how different...
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| Main Authors: | Robert T. Marcotte, Shelby L. Bachman, Yaya Zhai, Ieuan Clay, Kate Lyden |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Karger Publishers
2024-12-01
|
| Series: | Digital Biomarkers |
| Online Access: | https://karger.com/article/doi/10.1159/000542850 |
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