Analysis of short-term heart rate and diastolic period variability using a refined fuzzy entropy method.

Journal: Biomedical engineering online
PMID: 26126807

Abstract

BACKGROUND: Heart rate variability (HRV) has been widely used in the non-invasive evaluation of cardiovascular function. Recent studies have also attached great importance to the cardiac diastolic period variability (DPV) examination. Short-term variability measurement (e.g., 5 min) has drawn increasing attention in clinical practice, since it is able to provide almost immediate measurement results and enables the real-time monitoring of cardiovascular function. However, it is still a contemporary challenge to robustly estimate the HRV and DPV parameters based on short-term recordings.

Authors

  • Lizhen Ji
    School of Control Science and Engineering, Shandong University, 17923 Jingshi Road, Jinan, 250061, People's Republic of China. bmelzji@gmail.com.
  • Peng Li
    WuXi AppTec Co, Shanghai, China.
  • Ke Li
    School of Ideological and Political Education, Shanghai Maritime University, Shanghai, China.
  • Xinpei Wang
    School of Pharmaceutical Sciences, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
  • Changchun Liu
    School of Control Science and Engineering, Shandong University, 17923 Jingshi Road, Jinan, 250061, People's Republic of China. changchunliu@sdu.edu.cn.

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