Time-frequency Research of Pulse Rate Variability Based on the EEMD
10.3969/j.issn.1671-7104.2017.04.005
- VernacularTitle:基于EEMD的脉率变异性时频域研究
- Author:
Genxuan ZHANG
1
;
Bo SHI
;
Sai ZHANG
;
Young TSAU
Author Information
1. 蚌埠医学院医学影像学系
- Keywords:
pulse rate variability;
heart rate variability;
ensemble empirical mode decomposition
- From:
Chinese Journal of Medical Instrumentation
2017;41(4):251-254
- CountryChina
- Language:Chinese
-
Abstract:
In this paper, based on the feature of ensemble empirical mode decomposition(EEMD) which is very suitable for analyzing non-stationary and nonlinear signals, the pulse rate variability (PRV) signal is decomposed into multiple intrinsic mode function (IMF) components by EEMD, to calculate the energy of each IMF component respectively, and high-frequency energy(EHF), low-frequency energy(ELF) and very low-frequency energy(EVLF) of PRV were reconstructed from the energy of the IMF components according to the characteristics of each IMF component spectrum. This method is compared with the traditional AR power spectrum estimation method through the experiment. The results show that the correlation coefficient of each frequency domain parameter corresponding to PRV obtained by the two methods is higher than 0.96, which indicates that the method can truly reflect the sympathetic nerve and vagus nerve activity.
