Wavelet Power Spectrum Analysis for PVC Discrimination

被引：0

作者：

Uchaipichat, N. ^{[1
]}

Thanawattano, C. ^{[2
]}

Buakhamsri, A. ^{[3
]}

机构：

[1] Thammasat Univ, Fac Engn, Pathum Thani 12120, Thailand

[2] Natl Elect & Comp Technol Ctr, Pathum Thani 12120, Thailand

[3] Thammasat Univ, Fac Med, Thammasat Heart Ctr, Cardiol Unit, Bangkok 12120, Thailand

来源：

WORLD CONGRESS ON ENGINEERING - WCE 2013, VOL II | 2013年

关键词：

Arrhythmias; Electrocardiogram; Premature ventricular contraction; Wavelet transform; PREDICTION; TRANSFORM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Premature ventricular contraction (PVC) is a type of heart arrhythmias that occurs a contraction of ventricles before normal ECG rhythm. This paper presents a technique for PVC screening. Wavelet power spectrum analysis was applied to extract some characteristic features form ECG beats. The database used in this study is MIT-BIH arrhythmia database. The discriminant analysis with Mahalanobis distance was used as classifier to discriminate between sinus group and PVC group. The classification with combined features achieved the best performance with sensitivity of 81.99 +/- 1.07% and specificity of 90.38 +/- 0.64%.

引用

页码：1316 / +

页数：2

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