NDLI: Hybrid approach for ECG signal enhancement using dictionary learning-based sparse representation

Content Provider	IET Digital Library
Author	Rakshit, Manas Das, Susmita
Abstract	Electrocardiogram (ECG) signal quality enhancement is a crucial task in the computer-based automated processing system. In this study, a dictionary learning (DL)-based sparse representation framework is presented for ECG signal enhancement through denoising. Unlike, traditional filtering techniques, the proposed method removes both low- and high-frequency noises for complete enhancement of the signal quality. The frequency localised DL-based sparse representation approach is applied to remove both baseline wander and power-line interference. The time-localised and signal characteristics based DL-based sparse representation scheme is employed for extraction of clean ECG components from white Gaussian noise and muscle artefact added noisy ECG record. Both qualitative and quantitative performance analyses are carried out using the Massachusetts Institute of Technology - Beth Israel Hospital (MIT-BIH) database, QT database and synthetic ECG signals. The efficacy of the proposed method is compared with the existing ECG denoising approaches using standard performance metrics: signal-to-noise ratio, root-mean-square error and percentage RMS difference. It is observed through the detailed study and analysis that the proposed approach outperforms the existing ones and can be served to further enhance the overall quality of ECG in a computer-based automated medical system.
Starting Page	381
Ending Page	391
Page Count	11
ISSN	17518822
Volume Number	13
e-ISSN	17518830
Issue Number	Issue 3, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/13/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2018.5060
Journal	IET Science, Measurement & Technology
Publisher Date	2018-12-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bioelectric Signal Biology And Medical Computing Computer-based Automated Medical System Dictionary Learning Digital Signal Processing ECG Denoising ECG Signal Enhancement ECG Signal Quality Enhancement Electrical Activity in Neurophysiological Processes Electrocardiogram Signal Quality Enhancement Electrocardiography Electrodiagnostics And Other Electrical Measurement Technique Gaussian Noise Interpolation And Function Approximation Mean Square Error Method Medical Signal Detection Medical Signal Processing Muscle Muscle Artefact Numerical Analysis Numerical Approximation And Analysis Percentage RMS Difference Probability Theory Root Mean Square Error Signal Denoising Signal Processing And Detection Signal Representation Signal to Noise Ratio Sparse Representation Statistics Stochastic Linearised SCUC White Gaussian Noise White Noise
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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