Influence of QRS complex detection errors on entropy algorithms. Application to heart rate variability discrimination

被引：15

作者：

Molina-Pico, Antonio ^{[1
]}

Cuesta-Frau, David ^{[1
]}

Miro-Martinez, Pau ^{[2
]}

Oltra-Crespo, Sandra ^{[1
]}

Aboy, Mateo ^{[3
]}

机构：

[1] Univ Politecn Valencia, Inst Informat Technol, Alcoy, Spain

[2] Univ Politecn Valencia, Dept Stat, Alcoy, Spain

[3] Oregon Inst Technol, Dept Elect Engn, Portland, OR USA

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2013年 / 110卷 / 01期

关键词：

Heart rate variability; QRS detection; Approximate entropy; Sample entropy; APPROXIMATE ENTROPY; TIME-SERIES; SAMPLE ENTROPY; RR; DYNAMICS; TRIAL;

D O I：

10.1016/j.cmpb.2012.10.014

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Signal entropy measures such as Approximate Entropy (ApEn) and Sample Entropy (SampEn) are widely used in Heart Rate Variability (HRV) analysis and biomedical research. In this article, we analyze the influence of QRS detection errors on HRV results based on signal entropy measures. Specifically, we study the influence that QRS detection errors have on the discrimination power of ApEn and SampEn using the Cardiac Arrhythmia Suppression Trial (CAST) database. The experiments assessed the discrimination capability of ApEn and SampEn under different levels of QRS detection errors. The results demonstrate that these measures are sensitive to the presence of ectopic peaks: from a successful classification rate of 100%, down to a 75% when spikes are present. The discriminating capability of the metrics degraded as the number of misdetections increased. For an error rate of 2% the segmentation failed in a 12.5% of the experiments, whereas for a 5% rate, it failed in a 25%. (C) 2012 Elsevier Ireland Ltd. All rights reserved.

引用

页码：2 / 11

页数：10

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