Robust electrocardiogram (ECG) beat classification using discrete wavelet transform

Physiological Measurement
Fayyaz-ul-Amir Afsar Minhas, Muhammad Arif

Abstract

This paper presents a robust technique for the classification of six types of heartbeats through an electrocardiogram (ECG). Features extracted from the QRS complex of the ECG using a wavelet transform along with the instantaneous RR-interval are used for beat classification. The wavelet transform utilized for feature extraction in this paper can also be employed for QRS delineation, leading to reduction in overall system complexity as no separate feature extraction stage would be required in the practical implementation of the system. Only 11 features are used for beat classification with the classification accuracy of approximately 99.5% through a KNN classifier. Another main advantage of this method is its robustness to noise, which is illustrated in this paper through experimental results. Furthermore, principal component analysis (PCA) has been used for feature reduction, which reduces the number of features from 11 to 6 while retaining the high beat classification accuracy. Due to reduction in computational complexity (using six features, the time required is approximately 4 ms per beat), a simple classifier and noise robustness (at 10 dB signal-to-noise ratio, accuracy is 95%), this method offers substantial advantages o...Continue Reading

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Citations

Sep 15, 2010·Journal of Medical Systems·Hui Fang HuangLi Zhu
Jun 29, 2011·Biomedical Engineering Online·Jinkwon KimMyoungho Lee
Feb 18, 2014·Computers in Biology and Medicine·Zhancheng ZhangXiaojun Wu
Apr 1, 2014·Computers in Biology and Medicine·Roshan Joy MartisHojjat Adeli
Sep 21, 2013·Journal of Medical Engineering & Technology·Mehrdad Javadi
Mar 24, 2016·Computer Methods and Programs in Biomedicine·Fatin A ElhajTaqwa Ahmed
Jan 10, 2012·Medical Engineering & Physics·João P V MadeiroCarlos R M R Sobrinho
Jan 18, 2016·Computer Methods and Programs in Biomedicine·Eduardo José da S LuzDavid Menotti
Aug 21, 2009·Medical Engineering & Physics·A GhaffariM Daevaeiha
Sep 28, 2010·Physiological Measurement·Arturo MartínezJosé Joaquín Rieta
Mar 17, 2010·Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine·A GhaffariM Davaeeha
May 7, 2020·Health Information Science and Systems·Daban Abdulsalam AbdullahAbdulkadir Şengür
Sep 7, 2017·Scientific Reports·Gabriel GarciaEduardo Luz
Aug 20, 2019·Journal of Electrical Bioimpedance·Abdullah Jafari Chashmi, Mehdi Chehel Amirani

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