A group of researchers has stated that the data from the Apple Watch's ECG sensor can be used to create a stress prediction tool that is both reliable and accurate.
As per MacRumors, the specialists from the Canada-based College of Waterloo found a cozy connection between ECG information, including heart speed increase and deceleration limit, and members' accounted for feelings of anxiety at the time the readings were taken, utilizing the Apple Watch Series 6's ECG sensor.
A prediction model was developed using machine learning algorithms based on this data.
According to the report, the stress models have a "high level of precision," but their recall is lower.
The study comes to the conclusion that the Apple Watch has "promising" potential for stress prediction, and it suggests that even more data points could be incorporated into stress models to improve predictive accuracy because the device collects additional health data like sleep and activity data.
In addition, the analysts guess that the Apple Watch could be utilized to help emotional wellness care by giving exercises, for example, breathing activities to balance pressure flags and answering right on time to changes in psychological well-being, the report added.
In the meantime, a new study found that the Apple Watch can aid in the detection of silent heart disease.
According to the Mayo Clinic study, people with cardiac dysfunction are unaware that they have it because it is asymptomatic.
"Consumer-watch ECGs acquired in nonclinical environments can identify patients with cardiac dysfunction," the findings demonstrated.
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