Heart rate variability and heart rate monitoring of nurses using PPG and ECG signals during working condition: A pilot study

Abstract

The use of wearable photoplethysmography (PPG) technology for estimating heart rate (HR) and HR variability (HRV) in the health care system is gaining attention in recent years. However, the performance of these devices remains questionable in their ability to collect data in real working conditions for long-term monitoring. The present study aimed to examine the data collected from nurses during working hours by PPG and electrocardiography (ECG) devices. Twenty-two nurses underwent a 60-minute work protocol during the normal working conditions while wearing a PPG device and an ECG device. HR, low-frequency component (LF) and high-frequency component (HF), LF/HF ratio, and percent LF distribution in total spectral power, and steps were examined. Pearson's correlation analysis and Bland-Altman method was performed to examine the relationships between the two devices based on HR and HRV indices. The results found strong positive correlations between HR estimates of both devices, and moderate correlations between LF/HF ratio and percent LF indices estimates, respectively. Moreover, the Bland-Altman analysis showed a small mean bias in general between the captured data of both devices. This pilot study suggested that the PPG device appears to demonstrate good overall reliability in measuring HR, LF/HF ratio, and percent LF. A further large-scale study is required to investigate the feasibility and practicality for HR and HRV analysis in nurses during real working conditions using PPG devices.

CogWatch: An open-source platform to monitor physiological indicators for cognitive workload and stress

“…PPG can be implemented on a variety of body sites including earlobes, finger tips, wrist, and neck; it eliminates wires by using an optical method to predict HR based on blood oxygenation [16] , [29] . Historically the clinical gold standard for HR and HRV has been ECG [11] , [17] , but many studies have found that PPG derived HRV values are acceptably close to those of ECG [16] , [29] , [30] . Both PPG and ECG have been shown to be useful in deriving RR and BVP, with PPG being slightly better for BVP [31] , [32] , [33] .…”

Feasibility of biomarkers to measure stress, burnout and fatigue in emergency nurses: a cross-sectional study

“…[19][20][21][22] Heart rate variability (HRV) has been used in research to measure the negative health effects of shift work, 23 the benefits of aromatherapy 24 and the efficacy of using photoplethysmography compared with electrocardiography in nursing populations. 25 The fluctuating heart rate of a normally regulated person will show high HRV when responding to a stressful event. 22 For people who have been exposed to childhood trauma, chronic stress and/ or disease, HRV may be low and dysregulated indicating an impaired ANS response to stressors.…”