Noise Reduction of Electrocardiographic Signals using Wavelet Transforms

Authors

  • S. A. Qureshi University of Engineering and Technology (UET)
  • I. Masood University of Engineering and Technology (UET)
  • M. Hashmi VTT Technical Research Centre of Finland
  • S. Hanninen VTT Technical Research Centre of Finland
  • M. Sarwar Punjab University College of Information Technology (PUCIT)
  • A. Jameel University of Engineering and Technology (UET)

DOI:

https://doi.org/10.5755/j01.eee.20.3.6676

Keywords:

Electrocardiogram, de-noising, noise, stationary wavelet transform, signal-to-noise ratio

Abstract

It has always been a critical issue to extract original signal having low signal-to-noise ratio (SNR) buried in heavy noise and interferences. Since the amplitude of the electrocardiogram (ECG) signal is smaller so while gathering and recording it may mix with various kinds of noises and interferences. In this paper, wavelet thresholding de-noising method based on stationary wavelet transform (SWT) is proposed in de-noising of ECG signal. In addition, this paper compares various de-noising methods to validate the proposed de-noising method. The improved de-noising method ensures that the geometrical characteristics of the original ECG are retained as well as efficiently suppresses additive noises. The experimental results reveal that the SWT method is better than traditional wavelet de-noising methods to maintain original shape of ECG waveform having improved SNR.

DOI: http://dx.doi.org/10.5755/j01.eee.20.3.6676

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Published

2014-03-12

How to Cite

Qureshi, S. A., Masood, I., Hashmi, M., Hanninen, S., Sarwar, M., & Jameel, A. (2014). Noise Reduction of Electrocardiographic Signals using Wavelet Transforms. Elektronika Ir Elektrotechnika, 20(3), 29-32. https://doi.org/10.5755/j01.eee.20.3.6676

Issue

Vol. 20 No. 3 (2014)

Section

ELECTRICAL ENGINEERING

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