A Composite Wavelets and Morphology Approach for ECG Noise Filtering

  • Vikrant Bhateja
  • Shabana Urooj
  • Rini Mehrotra
  • Rishendra Verma
  • Aimé Lay-Ekuakille
  • Vijay Deepak Verma
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)


Noisy ECG signals contain variations in the amplitudes or in the time intervals which represents the abnormalities associated with the heart; thereby making visual diagnosis difficult for cardiovascular diseases. Hence, to facilitate proper analysis of ECG; this paper presents a combination of wavelets analysis and morphological filtering as an approach for noise removal in ECG signals. The proposed algorithm involves sub-band decomposition of ECG signal using bi-orthogonal wavelet family. The wavelet detail coefficients containing the noisy components are then processed by morphological operators using linear structuring elements. The morphological filter processes only the corrupted bands without affecting the signal parameters. Simulation results of the proposed algorithm show noteworthy suppression of noise in terms of higher signal-to-noise ratio preserving the ST segment and R wave of ECG.

Index Terms

bi-orthogonal wavelets detail coefficients morphological filtering 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Vikrant Bhateja
    • 1
  • Shabana Urooj
    • 2
  • Rini Mehrotra
    • 1
  • Rishendra Verma
    • 1
  • Aimé Lay-Ekuakille
    • 3
  • Vijay Deepak Verma
    • 4
  1. 1.Department of Electronics and Communication EngineeringShri Ramswaroop Memorial Group of Professional Colleges (SRMGPC)LucknowIndia
  2. 2.Department of Electrical Engineering, School of EngineeringGautam Buddha UniversityGreater-NoidaIndia
  3. 3.Department of Innovation EngineeringUniversity of SalentoLecceItaly
  4. 4.Medical University & Associated Hospitals GreaterNoidaIndia

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