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Removal of 50Hz PLI using Discrete Wavelet Transform for Quality Diagnosis of Biomedical ECG Signal
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 23 - Number 7 |
| Year of Publication: 2011 |
| Authors: Ramesh D. Mali, Mahesh S. Khadtare, Dr. U.L Bombale |
10.5120/2902-3805
|
Ramesh D. Mali, Mahesh S. Khadtare, Dr. U.L Bombale . Removal of 50Hz PLI using Discrete Wavelet Transform for Quality Diagnosis of Biomedical ECG Signal. International Journal of Computer Applications. 23, 7 ( June 2011), 35-40. DOI=10.5120/2902-3805
Abstract
Electrocardiogram (EKG or ECG) is an important electrical activity of the human Heart. ECG is used for the primary diagnosis of heart diseases since it shows the electrophysiology of the heart and the ischemic changes that may occur like the myocardial infarction, conduction defects, and arrhythmia. But, in real condition, ECG is often corrupted by different artifacts and noises. For the purpose of quality diagnosis, the ECG signal must be clearly de-noised to remove all noises and artifacts from the signal. In this paper, we present the Wavelet Transform, a new approach in digital signal processing to filter the ECG signal. Different ECG signals from MIT/BIH arrhythmia database are used with added 10dB, 5dB & 0dB Power Line Interference (PLI) noise which is common in ECG signal. The results were evaluated using MATLAB software. Basically, two synthesis parameters Mean Square Error (MSE) and Signal to Noise ratio (SNR) have been used. The prime aim of this paper is to adapt the discrete wavelet transform (DWT) to improve the (ECG) signal quality for better clinical diagnosis. The evaluated results have been compared with Butterworth IIR filter. The proposed method shows improvement in output SNRo for 5dB noise is 98.5% and for 10dB noise is 95.7%.
References
- Kligfield P, Gettes L, Bailey J, et al. “Recommendations for the Standardization and Interpretation of the Electrocardiogram” , J Am Coll Cardiol 2007;49:276–281.
- G. Umamaheswara Reddy, Prof. M. Muralidhar, Dr. S. Varadarajan,” ECG De- Noising using improved thresholding based on Wavelet transforms”, IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.9, September 2009.
- David L. Donoho, “De-noising by soft thresholding”, IEEE Trans. Trans. Inform. Theory, vol. 41, pp. 613-627, 1995
- Manpreet Kaur, Birmohan Singh,” Powerline Interference Reduction in ECG Using Combination of MA Method and IIR Notch”, International Journal of Recent Trends in Engineering, Vol 2, No. 6, November 2009
- Mahesh S. Chavan, R.A. Aggarwala, M.D.Uplane ‘Interference reduction in ECG using digital FIR filters based on Rectangular window’ WSEAS Transactions on Signal Processing, Issue 5,Volume 4, May 2008, pp.340-49.
- Ying-Wen Bai, Chien-Yung Cheng, Cheng-Kai Lu, Chuang-Hsiang Huang, Yuh-Ting Chen and Ya-Nan Lin,” Adjustable 60Hz Noise Reduction and ECG Signal Amplification of a Remote Electrocardiogram System”, 0-7803-770S-UO31$17.0002 003 IEEE, IMTC 2003.
- Zhi-Dong Zhao Yu-Quan Chen,” A New Method for Removal of Baseline Wander and Power Line Interference in ECG Signals”, Machine Learning and Cybernetics, International Conference, 10.1109/ICMLC.2006.259082, 04 March 2009.
- Ziarani AK, Konard A, ‘A nonlinear adaptive method of elimination of power line interference in ECG signals’, IEEE Transaction on Biomed Eng; 49(6), Jun 2002, pp 540-47.
- Hu, Y.H. Lin, Y.D,” Detection and suppression of power-line interference in electrocardiogram signal”, computers in cardiology, 10.1109/ CIC.2007.4745544, 09, January 2009.
- Kalchev,” DSP-algorithms for cardiac symptoms investigations”, Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings of the Second IEEE International Workshop on, 10.1109/IDAACS.2003.1249576, 08 December 2003
- Van Alste JA, van Eck W, Herrmann OE, “ECG baseline wander reduction using linear phase filters”, Comput Biomed Res. 1986 Oct;19(5):417-27.
- Sornmo L., “Time-varying digital filtering of ECG baseline wander”, Med Biol Eng Comput. 1993 Sep; 31(5): 503-8.
- De Pinto V., “Filters for the reduction of baseline wander and muscle artifact in the ECG”, J Electrocardiol. 1992; 25 Suppl: 40-8.
- Mikhled Alfaouri and Khaled Daqrouq,”ECG Signal Denoising By Wavelet Transform Thresholding” American Journal of Applied Sciences 5 (3): 276-281, 2008.
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