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Agreement of two entropy-based measures on quantifying the complexity of short-term heart rate variability signals from professional shooters

Zhuang Jian-Jun Ning Xin-Bao Yang Xi Sun Biao Zou Ming

Agreement of two entropy-based measures on quantifying the complexity of short-term heart rate variability signals from professional shooters

Zhuang Jian-Jun, Ning Xin-Bao, Yang Xi, Sun Biao, Zou Ming
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  • Abstract views:  3716
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  • Received Date:  14 July 2007
  • Accepted Date:  24 August 2007
  • Published Online:  28 May 2008

Agreement of two entropy-based measures on quantifying the complexity of short-term heart rate variability signals from professional shooters

  • 1. (1)南京大学电子科学与工程系生物医学电子工程研究所,南京 210093; (2)南京体育学院运动系,南京 210014; (3)南京体育学院运动系,南京 210014;南京森林公安高等专科学校侦查系,南京 210046

Abstract: Using two entropy-based measures, namely the approximate entropy and sample entropy measures, we studied the complexity of heart rate variability signals obtained from professional shooting athletes in the situations of rest and practice match. The results demonstrate that the values of two measures calculated from the resting signals are both greater than those calculated from the training signals, which means that the signals collected during the match are more regular compared to those acquired in a resting state. For a better application of the two methods, we further investigated the influences of two factors: threshold r and data length N, on the performance of the algorithms. Although both approaches have the ability to discriminate the complexity of heart beat interval series from different states of the shooters, provided that the parameters required by the algorithms are chosen within a proper range, it still seems that sample entropy method is more appropriate in quantifying the short-term heart rate variability signals for shooting athletes, especially when the time series are only several hundred points long.

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