![]() ![]() ![]() Heart rate variability (HRV) features from the ECG were extracted and analyzed against self-reported stress questionnaires based on the DASS-21 questionnaire and a single-item LIKERT-type scale. Here we collected ECG data using the Apple Watch from 36 health participants during their daily routines. ![]() Interestingly, ECG data can be used to derive Heart Rate Variability (HRV) features commonly used in the identification of stress, suggesting that the Apple Watch ECG app could potentially be utilized as a simple, cost-effective, and minimally invasive tool to monitor individual stress levels. A novel electrocardiogram (ECG) feature has recently been introduced to the Apple Watch device. However, wearable smart technologies offer a novel strategy to continuously and non-invasively collect objective health data in the real-world. Traditional methods of stress measurement and monitoring typically relies on self-reporting. Chronic stress has become an epidemic with negative health risks including cardiovascular disease, hypertension, and diabetes. ![]()
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