Researchers from Singapore have introduced a fitness tracker t | Trend Review: IT, technology, business
Researchers from Singapore have introduced a fitness tracker to detect depression.
The Fitbit Charge 2 uses Ycogni software based on a machine learning model. It analyzes data - sleep, circadian rhythms, heartbeat, steps, energy expenditure - and uses them to predict the likelihood of a disorder with 80% accuracy.
A useful thing is a familiar fitness bracelet with a function of unobtrusive screening for depression.
