• 1. Department of Neurology, Weihai City Central Hospital Affiliated to Weifang Medical College, Weihai 264400, China;
  • 2. Shandong University School of Medicine, Jinan 250012, China;
  • 3. Department of Cardiology, Weihai City Central Hospital Affiliated to Weifang Medical College, Weihai 264400, China;
  • 4. Graduate School, Clinical School, Weifang Medical College, Weifang 261053, China;
  • 5. School of Information Science and Engineering, Shandong University, Jinan 250100, China;
  • 6. Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE1 4LP,;
CHIXianglin, Email: chixl0631@163.com
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The linear analysis for heart rate variability (HRV), including time domain method, frequency domain method and timefrequency analysis, has reached a lot of consensus. The nonlinear analysis has also been widely applied in biomedical and clinical researches. However, for nonlinear HRV analysis, especially for shortterm nonlinear HRV analysis, controversy still exists, and a unified standard and conclusion has not been formed. This paper reviews and discusses three shortterm nonlinear HRV analysis methods (fractal dimension, entropy and complexity) and their principles, progresses and problems in clinical application in detail, in order to provide a reference for accurate application in clinical medicine.

Citation: CHIXianglin, ZHOUJianhua, SHIPing, LIUChengyu. Analysis Methods of Short term Non linear Heart Rate Variability and Their Application in Clinical Medicine. Journal of Biomedical Engineering, 2016, 33(1): 193-200. doi: 10.7507/1001-5515.20160035 Copy

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