Comparison Between Heart Rate Variability and Pulse Rate Variability for Bradycardia and Tachycardia Subjects

• Published in: 2018 International Conference on Control, Automation and Information Sciences (ICCAIS) pp. 1 - 6
• Main Authors: Chou, Yongxin, Zhu, Peiyi, Huang, Xufeng, Lin, Jiajun, Liu, Jicheng, Gu, Ya
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2018
• Subjects: bradycardia; ECG; Electrocardiography; Feature extraction; Frequency-domain analysis; Heart rate variability; Indexes; PPG; pulse rate variability; Rail to rail inputs; tachycardia; Time-domain analysis
• ISSN: 2475-7896
• DOI: 10.1109/ICCAIS.2018.8570697

Pulse rate variability (PRV) derived from photoplethysmograph (PPG) signal has increasingly applied potentiality in wearable devices for telecare and personal healthcare. In this study, the relevance between PRV and HRV of bradycardia and tachycardia subjects are compared. First, we extract R to R wave interval sequences (RRIs) and P to P wave interval sequences (PPIs) from ECG and PPG signals, respectively. Then, the 5 features in time domain, 7 features in frequency domain and 9 features in nonlinear domain are extracted from PPIs and RRIs. Finally, two-sample t-test is employed to analyze the relevance of each same features. The results show that there is obvious relevance for these features except for basic scale entropy (BSE). Therefore, PRV can be used to analyze HRV for bradycardia subjects except for the pacemaker wearers, which have less variation patterns and higher HR and PRV For the tachycardia subjects, the PRV has more variation patterns than HRV. If we just consider the accuracy between HR and PR, there are not obviously different for bradycardia and tachycardia subjects.