A group of researchers has revealed that data from ECG sensors can be used for Apple Watch Smart to develop a robust and accurate stress prediction tool.
And according to MacRumors, researchers at Canada’s University of Waterloo have discovered a close relationship between the data Electrocardiogram including heart rate and deceleration capacity, and stress levels reported by participants at the time the readings were taken, using an ECG from the Apple Watch Series 6.
Using this data, machine learning algorithms were built to create a prediction model, and the report says stress models have a “high level of accuracy,” but lower recall.
The study concludes that the Apple Watch has “promising” potential for predicting stress and notes that as the device collects additional health data such as sleep and activity data, the data points can be incorporated into stress models to improve predictive accuracy. mental health by providing activities such as breathing exercises to offset signs of stress and respond promptly to changes in mental health, the report adds.
Meanwhile, a recent study also reveals that the Apple Watch can help detect silent heart disease. The Mayo Clinic study shows heart failure often goes undiagnosed due to its asymptomatic nature, meaning people who are affected are unaware of it.
The results showed that “Consumer-monitored ECGs acquired in non-clinical settings can identify patients with impaired cardiac function.”
