Data from wearable technology to detect depression

Computer programme uses data from wearables to detect depression


Image: The Ycogni model connected to a laptop; Copyright: Nanyang Technological University

The Ycogni model screens for the risk of depression by analysing an individual’s physical activity, sleep patterns, and circadian rhythms derived from data from wearable devices that measure his or her steps, heart rate, energy expenditure, and sleep data.

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