The study found that a 30-second ECG reading delivered instant feedback on their stress levels with an accuracy of 52 percent to 64 percent, compared with 60 percent to 80 percent for “state-of ...

The team enrolled over 2,000 participants in a study that employed the algorithm to look for extended periods when heart rate is higher than normal — a sign that something might be amiss.

As the company explains, the Sense 2 can “track your stress in real-time by using a machine learning algorithm that was trained to know what to look for, like sweat levels, but also heart rate ...

Using data from smartwatches, a new algorithm reads heart rate as a proxy for physiological or mental stress, potentially alerting wearers they're falling ill before they have symptoms.