Jingjing Fan, Junhua Mei, Yuan Yang, Jiajia Lu, Quan Wang, Xiaoyun Yang, Guohua Chen, Runsen Wang, Yujia Han, Rong Sheng, Wei Wang, Fengfei Ding
We propose a novel approach for predicting stress severity by measuring sleep phasic heart rate variability (HRV) using a smart device. This device can potentially be applied for stress self-screening in large populations. Using a Holter electrocardiogram (ECG) and a Huawei smart device, we conducted 24-h dual recordings of 159 medical workers working regular shifts. Based on photoplethysmography (PPG) and accelerometer signals acquired by the Huawei smart device, we sorted episodes of cyclic alternating pattern (CAP; unstable sleep), non-cyclic alternating pattern (NCAP; stable sleep), wakefulness, and rapid eye movement (REM) sleep based on cardiopulmonary coupling (CPC) algorithms...
February 27, 2024: Stress and Health: Journal of the International Society for the Investigation of Stress