ECG De-noising: A Comparison Between EEMD-BLMS and DWT-NN Algorithms.

Kevin Kærgaard, Søren Hjøllund Jensen, Sadasivan Puthusserypady

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Electrocardiogram (ECG) is a widely used noninvasive method to study the rhythmic activity of the heart and thereby to detect the abnormalities. However, these signals are often obscured by artifacts from various sources and minimization of these artifacts are of paramount important. This paper proposes two adaptive techniques, namely the EEMD-BLMS (Ensemble Empirical Mode Decomposition in conjunction with the Block Least Mean Square algorithm) and DWT-NN (Discrete Wavelet Transform followed by Neural Network) methods in minimizing the artifacts from recorded ECG signals, and compares their performance. These methods were first compared on two types of simulated noise corrupted ECG signals: Type-I (desired ECG+noise frequencies outside the ECG frequency band) and Type-II (ECG+noise frequencies both inside and outside the ECG frequency band). Subsequently, they were tested on real ECG recordings. Results clearly show that both the methods works equally well when used on Type-I signals. However, on Type-II signals the DWTNN performed better. In the case of real ECG data, though both methods performed similar, the DWT-NN method was a slightly better in terms of minimizing the high frequency artifacts.
Original languageEnglish
Title of host publicationProceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE
Publication date2015
Pages3811-3814
ISBN (Print)978-1-4244-9270-1
DOIs
Publication statusPublished - 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Milano, Italy
Duration: 25 Aug 201529 Aug 2015
Conference number: 37

Conference

Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number37
CountryItaly
CityMilano
Period25/08/201529/08/2015

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