Identification of optimal wavelet-based algorithm for removal of power line interferences in ECG signals

Author

Garg, Girisha ; Gupta, Shorya ; Singh, Vijander ; Gupta, J.R.P. ; Mittal, A.P.

Author_Institution

Dept. of Instrum. & Control Eng., Univ. of Delhi, New Delhi, India

fYear

2011

fDate

28-30 Jan. 2011

Firstpage

1

Lastpage

5

Abstract

Identification of optimal denoising algorithm for ECG signals using DWT is described. The parameters are determined by comparing different types of wavelet functions, decomposition levels and threshold selection methods. The algorithm is used to improve the SNR of the ECG contaminated by disturbances like power line interferences, to present a clean signal for accurate auto diagnosis.

Keywords

discrete wavelet transforms; electrocardiography; interference (signal); medical signal processing; patient diagnosis; power cables; signal denoising; DWT; ECG; SNR; accurate autodiagnosis; decomposition levels; optimal denoising algorithm; optimal wavelet-based algorithm; power line interference removal; threshold selection methods; wavelet functions; Discrete wavelet transforms; Electrocardiography; Noise reduction; Signal to noise ratio; Electrocardiogram; Signal to Noise Ratio; denoising; discrete wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics (IICPE), 2010 India International Conference on

Conference_Location

New Delhi

Print_ISBN

978-1-4244-7883-5

Type

conf

DOI

10.1109/IICPE.2011.5728090

Filename

5728090