Journal of Guangdong University of Technology ›› 2019, Vol. 36 ›› Issue (03): 32-38.doi: 10.12052/gdutxb.180161

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A Heart Rate Variability Analysis via Modified Multi-time Scale Permutation Entropy

Lei Rui-sheng, Ling Bingo Wing-Kuen   

  1. School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2018-12-07 Online:2019-05-09 Published:2019-04-04

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Abstract: For analyzing the differences in human heart rate variability under different physiological conditions, and overcoming the problem of analyzing with only single time scale in traditional heart rate variability analysis methods, an HRV analysis method combining the complementary ensemble empirical mode decomposition and modified permutation entropy algorithm is proposed to obtain an indicator named CEEMD-mPE for measuring the obvious differences from HRV time series. The experimental results based on the MIT-BIH arrhythmia database show that our proposed HRV analysis method outperforms the other existing methods based on entropy.

Key words: complementary ensemble empirical mode decomposition, intrinsic mode functions, permutation entropy, heart rate variability

CLC Number: 

  • TP301
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