A survey on ECG analysis

被引：359

作者：

Berkaya, Selcan Kaplan ^{[1
]}

Uysal, Alper Kursat ^{[1
]}

Gunal, Efnan Sora ^{[2
]}

Ergin, Semih ^{[3
]}

Gunal, Serkan ^{[1
]}

Gulmezoglu, M. Bilginer ^{[3
]}

机构：

[1] Anadolu Univ, Dept Comp Engn, Eskisehir, Turkey

[2] Eskisehir Osmangazi Univ, Dept Comp Engn, Eskisehir, Turkey

[3] Eskisehir Osmangazi Univ, Dept Elect & Elect Engn, Eskisehir, Turkey

来源：

BIOMEDICAL SIGNAL PROCESSING AND CONTROL | 2018年 / 43卷

关键词：

ECG; Electrocardiogram; Classification; Database; QRS; Feature extraction; Feature selection; Preprocessing; OBSTRUCTIVE SLEEP-APNEA; PROBABILISTIC NEURAL-NETWORK; EMPIRICAL MODE DECOMPOSITION; HIGHER-ORDER STATISTICS; HEARTBEAT CLASSIFICATION; FEATURE-EXTRACTION; BEAT CLASSIFICATION; WAVELET-TRANSFORM; FEATURE-SELECTION; ARRHYTHMIA RECOGNITION;

D O I：

10.1016/j.bspc.2018.03.003

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the heart. In the literature, the ECG signal has been analyzed and utilized for various purposes, such as measuring the heart rate, examining the rhythm of heartbeats, diagnosing heart abnormalities, emotion recognition and biometric identification. ECG analysis (depending on the type of the analysis) can contain several steps, such as preprocessing, feature extraction, feature selection, feature transformation and classification. Performing each step is crucial for the sake of the related analysis. In addition, the employed success measures and appropriate constitution of the ECG signal database play important roles in the analysis as well. In this work, the literature on ECG analysis, mostly from the last decade, is comprehensively reviewed based on all of the major aspects mentioned above. Each step in ECG analysis is briefly described, and the related studies are provided. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：216 / 235

页数：20

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