Journal of Northeastern University Natural Science ›› 2017, Vol. 38 ›› Issue (1): 31-35.DOI: 10.12068/j.issn.1005-3026.2017.01.007

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Feasibility Analysis on Pulse Rate Variability as an Estimate of Heart Rate Variability

XU Li-sheng1,2, ZHOU Shu-ran1, YAO Yang1, QI Lin1   

  1. 1. School of Sino-Dutch Biomedical and Information Engineering, Northeastern University, Shenyang 110169,China; 2. Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang 110169,China.
  • Received:2015-08-28 Revised:2015-08-28 Online:2017-01-15 Published:2017-01-13
  • Contact: XU Li-sheng
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Abstract: Whether pulse rate variability (PRV) can be a surrogate of heart rate variability (HRV) was investigated, and their quantitative relationship was also studied. Three groups (healthy adolescents, old people and patients with cardiovascular diseases) were enrolled. Each group has 25 subjects and their pulse waves and ECG data were acquired simultaneously. Furthermore, the differences and relationships between them were analyzed after comparing some characteristic parameters of HRV and PRV in the time domain, frequency domain and nonlinear domain. The results show that HRV and PRV are not exactly the same, but there are some agreements in healthy adolescent group for all the parameters (SDNN, RMSSD, PNN50, HF, LF, SD1, SD2, α1, α2, SE, CD and AE; Ratio<0.2), which, in a certain extent, can be replaced. There are insufficient agreements for other parameters (old people: PNN50, RMSSD, LF and HF; Patients: PNN50, RMSSD, LF, HF, SD1 and SE; Ratio≥0.2) while there are agreements in old people group and patients with cardiovascular disease group for some parameters (old people: SDNN, SD1, SD2, SE, α1, α2, CD, SE and AE; patients: SDNN, SD2, α1, α2, CD and AE; Ratio<0.2), so HRV cannot be replaced with PRV.

Key words: heart rate variability, pulse rate variability, time domain analysis, frequency domain analysis, nonlinear analysis

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