A Simple Method for Determining the HRV Parameters

• Published in: International Conference and Exposition on Electrical and Power Engineering (Online) pp. 151 - 155
• Main Authors: Podaru, Alexandru Constantin, David, Valeriu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.10.2020
• Subjects: Biomedical monitoring; Correlation; Correlation coefficient; ear lobe pulse rate variability (ePRV); electrocardiographic signal (ECG); Electrocardiography; Frequency-domain analysis; Heart rate variability; heart rate variability (HRV); photoplethysmographic signal (PPG); pulse rate variability (PRV); Time-domain analysis
• ISSN: 2644-223X
• DOI: 10.1109/EPE50722.2020.9305660

In this paper, we present a simple way to determine the heart rate variability (HRV) parameters. We designed a device which is capable of simultaneously recording three biological signals, namely the electrocardiographic signal (ECG), the photoplethysmographic signal (PPG) and a pulse signal acquired from the earlobe, graphically represented by the rectangular form. We recorded and processing these signals from 14 subjects. All data was recorded in the same way, namely with the participant sitting on a chair and by using the same sampling frequency. We determined the heart rate variability (HRV) parameters from the electrocardiographic signal, the pulse rate variability (PRV) parameters from the photoplethysmographic signals, and earlobe PRV from the pulse signal (ePRV). We calculated the Pearson coefficient in three ways, first between the HRV and the PRV parameters, second, using the HRV and the ePRV parameters and the last one using the PRV and the ePRV parameters. Both in case of the time-domain and frequency-domain parameters, the Pearson correlation coefficients were above 0.97, that means a strong link between HRV and ePRV/PRV.