A new method for enhancement of ECG signals using cumulant based AR modeling

Author

Sharmila, V. ; HariKrishna, E. ; Reddy, Katta Narasimha ; Reddy, K. Ashoka

Author_Institution

Dept. of ECE, Kamala Inst. of Technol. & Sci., Huzurabad, India

fYear

2013

fDate

11-12 April 2013

Firstpage

634

Lastpage

637

Abstract

Electrocardiogram (ECG) signal gets corrupted with artifacts, such as 50/60 Hz power line interference (PLI), electromyogram (EMG) and baseline wander, making it difficult to diagnose the cardiac abnormalities. This paper presents autoregressive (AR) modelling of cumulants for enhancement of ECG signals. Higher order spectral (HOS) cumulants possess many properties that make it an effective tool for the analysis of nonlinear and non stationary signals like ECG. Novelty of the proposed algorithm is that it combines the higher order spectral cumulant properties in conjunction with AR modelling. Results on the records of MIT-BIH data base revealed that the proposed algorithm is effective in reducing the noise and enhancing the ECG data with low root mean square error (RMSE), root mean square variance (RMSV), root mean square deviation (RMSD) and improved signal to Noise Ratio (SNRI).

Keywords

autoregressive processes; electrocardiography; electromyography; mean square error methods; medical signal processing; physiological models; signal denoising; AR modelling; ECG signal enhancement; EMG; MIT-BIH data; RMSD; RMSE; RMSV; SNRI; baseline wander; cumulant based AR modeling; electrocardiogram signal enhancement; electromyogram; frequency 50 Hz to 60 Hz; high order spectral cumulant properties; nonlinear analysis; nonstationary signals; power line interference; root mean square deviation; root mean square error; root mean square variance; signal-noise ratio; Computational modeling; Data models; Electrocardiography; Electromyography; Noise measurement; Root mean square; Signal to noise ratio; AR model; Cumulants; ECG; HOS;

fLanguage

English

Publisher

ieee

Conference_Titel

Information & Communication Technologies (ICT), 2013 IEEE Conference on

Conference_Location

JeJu Island

Print_ISBN

978-1-4673-5759-3

Type

conf

DOI

10.1109/CICT.2013.6558171

Filename

6558171