A Critical Review of Feature Extraction Techniques for ECG Signal Analysis

被引：61
作者：
Gupta V. [1 ]
Mittal M. [2 ]
Mittal V. [3 ]
Saxena N.K. [4 ]
机构：
[1] Department of Electronics and Instrumentation Engineering, KIET Group of Institutions, Delhi-NCR, Ghaziabad, 201206, UP
[2] Department of Electrical Engineering, NIT, Kurukshetra, 136119, Haryana
[3] Department of Electronics and Communication Engineering, NIT, Kurukshetra, 136119, Haryana
[4] Department of Electrical and Electronics Engineering, KIET Group of Institutions, Delhi-NCR, Ghaziabad, 201206, UP
来源：
Journal of The Institution of Engineers (India): Series B | 2021年 / 102卷 / 05期
关键词：
Cardiological status; Electrocardiogram (ECG); Feature extraction; Heart rhythm;
D O I：
10.1007/s40031-021-00606-5
中图分类号：
学科分类号：
摘要：
An Electrocardiogram (ECG) is a primary and most prevalent non-invasive test performed on the subjects’ (i.e. patients’) with suspected heart problems. It helps in diagnosing important cardiological status of the subject’s heart i.e. normal or abnormal by investigating rhythm of the heart. This interpretation is not always possible using naked eyes, especially for minute aberrations. Therefore, advanced feature extraction methods are required for investigating these minute differences that might be a challenge to be detected by the human eye. Hence, a critical review of feature extraction techniques presented in this paper will help the researchers to make an informed choice of an appropriate technique for developing efficient methodologies for ECG signal processing. © 2021, The Institution of Engineers (India).
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页码：1049 / 1060
页数：11
相关论文
共 64 条
[1]  
Blood Pressure U.K., Electrocardiogram (ECG) and High Blood Pressure
[2]  
Lee Y.W., Cheatham T.P., Wiesner J.B., Application of correlation analysis to the detection of periodic signals in noise, Proc. IEEE -IRE., 38, 10, pp. 1165-1171, (1950)
[3]  
Saxena S.C., Kumar V., Giri V.K., Quality assurance in cardiac disease diagnostic using computerised feature extraction of ECG signal, IETE Tech. Rev., 20, 4, pp. 377-386, (2015)
[4]  
Seshadri R., Sriram V.K., Rao R., An IC ECG simulator, IETE Tech. Rev., 13, 2, pp. 119-123, (2015)
[5]  
Signal Processing Toolbox, Practical Introduction to Frequency-Domain Analysis
[6]  
Suppappola A.P., Applications in Time-Frequency Signal Processing, (2002)
[7]  
Udhaya Kumar R.K., Karmakar C., Palaniswami M., Understanding irregularity characteristics of short-term HRV signals using sample entropy profile, IEEE Trans. Biom. Eng., 65, 11, pp. 2569-2579, (2018)
[8]  
Short-Time Fourier Transform
[9]  
Gramatikov B., Georgiev I., Wavelets as alternative to short-time Fourier transform in signal-averaged electrocardiography, Med. Biol. Eng. Comput., 33, 3, pp. 482-487, (1995)
[10]  
Gupta V., Mittal M., Respiratory signal analysis using PCA, FFT and ARTFA, Proc. 2016 International Conference on Electrical Power and Energy Systems (ICEPES-16), pp. 221-225, (2016)
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