A capacitively coupled textile ECG system achieved a mean R-peak coverage of 98.0% and low normalized errors (0.15%-4.20%) for HRV measures compared to a standard Ag/AgCl system.
Does a capacitively coupled textile ECG system accurately measure HR and HRV compared to a standard Ag/AgCl system in healthy subjects during sleep?
A novel capacitively coupled textile ECG system integrated into a bed demonstrated high accuracy for continuous heart rate and heart rate variability monitoring during sleep.
In this study, we developed and tested a capacitively coupled electrocardiogram (ECG) measurement system using conductive textiles on a bed, for long-term healthcare monitoring. The system, which was designed to measure ECG in a bed with no constraints of sleep position and posture, included a foam layer to increase the contact region with the curvature of the body and a cover to ensure durability and easy installation. Nine healthy subjects participated in the experiment during polysomnography (PSG), and the heart rate (HR) coverage and heart rate variability (HRV) parameters were analyzed to evaluate the system. The experimental results showed that the mean of R-peak coverage was 98.0% (95.5%-99.7%), and the normalized errors of HRV time and spectral measures between the Ag/AgCl system and our system ranged from 0.15% to 4.20%. The root mean square errors for inter-beat (RR) intervals and HR were 1.36 ms and 0.09 bpm, respectively. We also showed the potential of our developed system for rapid eye movement (REM) sleep and wake detection as well as for recording of abnormal states.
Lee et al. (Thu,) conducted a other in Healthy (n=9). Capacitively coupled ECG measurement system vs. Ag/AgCl system was evaluated on R-peak coverage (95% CI 95.5-99.7). A capacitively coupled textile ECG system achieved a mean R-peak coverage of 98.0% and low normalized errors (0.15%-4.20%) for HRV measures compared to a standard Ag/AgCl system.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: