Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review

被引：152

作者：

Hagiwara, Yuki ^{[1
]}

Fujita, Hamido ^{[2
]}

Oh, Shu Lih ^{[1
]}

Tan, Jen Hong ^{[8
]}

Tan, Ru San ^{[3
,4
]}

Ciaccio, Edward J. ^{[5
]}

Acharya, U. Rajendra ^{[1
,6
,7
]}

机构：

[1] Ngee Ann Polytech, Dept Elect & Comp Engn, Singapore, Singapore

[2] Iwate Prefectural Univ, Fac Software & Informat Sci, Takizawa, Iwate, Japan

[3] Natl Heart Ctr Singapore, Dept Cardiol, Singapore, Singapore

[4] Duke Natl Univ Singapore, Sch Med, Singapore, Singapore

[5] Columbia Univ Coll Phys & Surg, Dept Med, Div Cardiol, 630 W 168th St, New York, NY 10032 USA

[6] Singapore Univ Social Sci, Sch Sci & Technol, Dept Biomed Engn, Singapore, Singapore

[7] Taylors Univ, Fac Hlth & Med Sci, Sch Med, Subang Jaya 47500, Malaysia

[8] Natl Univ Singapore, Inst Syst Sci, Singapore, Singapore

来源：

INFORMATION SCIENCES | 2018年 / 467卷

关键词：

Atrial fibrillation; Arrhythmia; Electrocardiogram signals; Computer-aided diagnosis system; Machine learning; CONVOLUTIONAL NEURAL-NETWORK; AUTOMATED DETECTION; WAVELET TRANSFORM; RECURRENCE PLOTS; FEATURES; DIMENSIONALITY; IDENTIFICATION; INTERVALS; SELECTION; ENTROPY;

D O I：

10.1016/j.ins.2018.07.063

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Arrhythmia is a type of disorder that affects the pattern and rate of the heartbeat. Among the various arrhythmia conditions, atrial fibrillation (AF) is the most prevalent. AF is associated with a chaotic, and frequently fast, heartbeat. Moreover, AF increases the risk of cardioembolic stroke and other heart-related problems such as heart failure. Thus, it is necessary to screen for AF and receive proper treatment before the condition progresses. To date, electrocardiogram (ECG) feature analysis is the gold standard for the diagnosis of AF. However, because it is time-varying, AF ECG signals are difficult to interpret. The ECG signals are often contaminated with noise. Further, manual interpretation of ECG signals may be subjective, time-consuming, and susceptible to inter-observer variabilities. Various computer-aided diagnosis (CADx) methods have been proposed to remedy these shortcomings. In this paper, different CADx systems developed by researchers are discussed. Also, the potentials of the CADx system are highlighted. (C) 2018 Elsevier Inc. All rights reserved.

引用

页码：99 / 114

页数：16

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