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.

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 ...

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.

Each group of machine learning algorithms has its own dedicated metrics. In the case of Anomaly Detection, we distinguish two metrics that are accessible in ML.NET: AUC - ROC curve and Detection ...