Numerical Simulation and Design of Efficient Denoising and Artifact Removal Framework for ECG Signals

  • Imtiaz Hussain, Alok Bansal

Abstract

ECG can be used to diagnose the stable and unstable heart disorder. If ECG is properly evaluated for its noise-free waveform, it can provide very useful heart information. The ECG plays a vital role in diagnosing and treatment of several diseases related to cardiac. Doctors can provide the important information about status of disease and condition of patient by studying the ECG signals generated by heart. ECG signal consists of components like segments, intervals, and waves are studied and evaluated based on the size, and duration time. Cardiac rhythm type is determined by studying these different components. Abnormal rhythm of the heart called arrhythmia (or dysrhythmia) is indicated when above mentioned components vary with expected norm.The electroencephalogram (EEG) electrodes are susceptible to electrocardiogram (ECG) artifacts, misleading the analysis and diagnosis from the EEG recording. This paper mainly focuses on detection and correction of contaminating ECG artifact of various strengths, from a single channel EEG in the absence ofa reference ECG channel. The algorithm involves two stages i.e. detection of ECG artifacts and correction of those artifacts. For detection of ECG artifact, modified S-transform (MST) is used on the band pass filtered contaminated EEG to localize the higher energy QRS segments in time scale. For improved energy concentration of MST around the instantaneous frequency. To correct ECG artifacts from EEG, a modified ensemble average subtraction is proposed, which restrict the overcompensation of the EEG in the correction process. The proposed algorithm is tested on MIT/BIH Polysomnography dataset and synthetic data set with various contamination strength.

Published
2021-11-12
How to Cite
Imtiaz Hussain, Alok Bansal. (2021). Numerical Simulation and Design of Efficient Denoising and Artifact Removal Framework for ECG Signals. Design Engineering, 11815 - 11832. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/6250
Section
Articles