DocumentCode :
2713904
Title :
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
Link To Document :
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