The study concludes that the Apple Watch has “promising” potential for stress prediction.
While thoroughly exploring the Apple Watch’s ECG sensor, a team of researchers said the watch’s ECG sensor data could be used to develop a robust and accurate stress prediction tool.
According to MacRumors, researchers from the Canada-based University of Waterloo discovered a close relationship between EKG data, including heart acceleration and deceleration capacity, and participants’ reported stress levels at the time the readings were taken, using the Apple Watch’s EKG. Series 6 sensor.
Using this data, machine learning algorithms were created to create a prediction model. The stress models are said to have a “high degree of precision” but lower recall, the report said.
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, even more data points can be integrated into stress models to improve predictive accuracy.
In addition, the researchers hypothesize that the Apple Watch could be used to support mental health care by providing activities such as breathing exercises to offset stress signals and respond early to mental health changes, the report said.
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Meanwhile, a recent study also revealed that the Apple Watch can help detect silent heart conditions.
The Mayo Clinic study explains that heart dysfunction often goes undiagnosed due to its asymptomatic nature, meaning people who suffer from it are not aware of it. The findings showed that “consumer-watch ECGs obtained in non-clinical settings can identify patients with cardiac dysfunction.”
