HIGHLIGHTS
- who: OR I G I and collaborators from the Department of Psychiatry, University of Cambridge, Cambridge, UK have published the Article: A study of wrist-worn activity measurement as a potential real-world biomarker for late-life depression, in the Journal: (JOURNAL)
- what: Wear-time was estimated using the approach described in van Hees et_al , where each 30 min segment of recording is classified as ‘weartime' if the standard deviation of the acceleration magnitude exceeds a fixed threshold of 13 mg (g=9.81 m/s2). This study utilized a novel wrist-worn device to . . .
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