San Francisco: While exploring the apple watch‘s electrocardiogram sensor with some depth, a team of researchers has said that data from the watch’s ECG sensor can be used to develop a robust and accurate stress prediction tool.
According to MacRumorsresearchers from Canada University of Waterloo found a close relationship between electrocardiogram dataincluding the ability of the heart to speed up and slow down, and the stress levels reported by the participants at the time the readings were taken, using the Apple Watch 6 Series ECG Sensor.
Using this data, machine learning algorithms were created to create a prediction model. The stress models are said to have a “high level of accuracy” but lower recall, according to the report.
The study concludes that the Apple Watch has “promising” potential for stress prediction and suggests that because the device collects additional health data, such as sleep and activity data, the data points could be further integrated into models. stress to improve predictive accuracy.
In addition, the researchers hypothesize that the Apple Watch could be used to aid mental health care by providing activities such as breathing exercises to offset signals of stress and respond early to changes in mental health, the report added. .
Meanwhile, a recent study also revealed that the Apple Watch can help detect silent heart disease. The mayo clinic The study explains that heart dysfunction often goes undiagnosed due to its asymptomatic nature, which means that people who have it don’t know it.
The findings showed that “consumer observation ECGs acquired in non-clinical settings can identify patients with cardiac dysfunction.”
