Efficacy of DWT denoising in the removal of power line interference and the effect on morphological distortion of underlying atrial fibrillatory waves in AF-ECG.

J Goodfellow, OJ Escalona, V Kodoth, G Manoharan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The objective of this study is to assess the efficacy of Discrete Wavelet Transform (DWT) in the removal of power line (50Hz) interference (PLI). Eighteen mains noise corrupted ECG signals were denoised using thirty two different DWT mother wavelets in order to assess which are the top performing for power line interference cancellation. For comparative purposes the signals were also denoised using a traditional notch filtering approach and the results assessed using three performance parameters: Signal to noise ratio (SNR), Mean Square Error (MSE) and Signal Correlation Value (SCV). 12 of the 32 wavelet functions utilized for mains interference denoising outperformed the traditional notch filtering approach, with the top four performing wavelets being Daubechies ‘Db10’, Biorthogonal ‘Bior6.8’, DMeyer ‘Dmey’ and Daubechies ‘Db8’, with Db10 producing SNR, MSE and CCV values of 32.50, 5.13x10− 5 and 0.9995 respectively. This was considerably better than the notch filtering technique which produced comparable results of 25.67, 1.10x10− 3 and 0.9952 respectively. The second phase of this study assessed the effect that DWT PLI attenuation had on underlying fibrillatory wave morphology. The results indicate that discrete wavelet processing has a negligible effect on underlying fibrillatory waves and is therefore a viable method for mains noise removal in ECG analysis of AF patients.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages1056-1059
Number of pages4
Volume51
DOIs
Publication statusPublished - 30 Oct 2015
EventWorld Congress on Medical Physics and Biomedical Engineering -2015 - Toronto, Canada.
Duration: 30 Oct 2015 → …

Conference

ConferenceWorld Congress on Medical Physics and Biomedical Engineering -2015
Period30/10/15 → …

Fingerprint

Discrete wavelet transforms
Electrocardiography
Mean square error
Signal to noise ratio
Processing

Keywords

  • Wavelet Transform
  • DWT
  • atrial fibrillation
  • AF–ECG
  • 50Hz Interference removal
  • ECG denoising.

Cite this

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title = "Efficacy of DWT denoising in the removal of power line interference and the effect on morphological distortion of underlying atrial fibrillatory waves in AF-ECG.",
abstract = "The objective of this study is to assess the efficacy of Discrete Wavelet Transform (DWT) in the removal of power line (50Hz) interference (PLI). Eighteen mains noise corrupted ECG signals were denoised using thirty two different DWT mother wavelets in order to assess which are the top performing for power line interference cancellation. For comparative purposes the signals were also denoised using a traditional notch filtering approach and the results assessed using three performance parameters: Signal to noise ratio (SNR), Mean Square Error (MSE) and Signal Correlation Value (SCV). 12 of the 32 wavelet functions utilized for mains interference denoising outperformed the traditional notch filtering approach, with the top four performing wavelets being Daubechies ‘Db10’, Biorthogonal ‘Bior6.8’, DMeyer ‘Dmey’ and Daubechies ‘Db8’, with Db10 producing SNR, MSE and CCV values of 32.50, 5.13x10− 5 and 0.9995 respectively. This was considerably better than the notch filtering technique which produced comparable results of 25.67, 1.10x10− 3 and 0.9952 respectively. The second phase of this study assessed the effect that DWT PLI attenuation had on underlying fibrillatory wave morphology. The results indicate that discrete wavelet processing has a negligible effect on underlying fibrillatory waves and is therefore a viable method for mains noise removal in ECG analysis of AF patients.",
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Goodfellow, J, Escalona, OJ, Kodoth, V & Manoharan, G 2015, Efficacy of DWT denoising in the removal of power line interference and the effect on morphological distortion of underlying atrial fibrillatory waves in AF-ECG. in Unknown Host Publication. vol. 51, pp. 1056-1059, World Congress on Medical Physics and Biomedical Engineering -2015, 30/10/15. https://doi.org/10.1007/978-3-319-19387-8_257

Efficacy of DWT denoising in the removal of power line interference and the effect on morphological distortion of underlying atrial fibrillatory waves in AF-ECG. / Goodfellow, J; Escalona, OJ; Kodoth, V; Manoharan, G.

Unknown Host Publication. Vol. 51 2015. p. 1056-1059.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Kodoth, V

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N2 - The objective of this study is to assess the efficacy of Discrete Wavelet Transform (DWT) in the removal of power line (50Hz) interference (PLI). Eighteen mains noise corrupted ECG signals were denoised using thirty two different DWT mother wavelets in order to assess which are the top performing for power line interference cancellation. For comparative purposes the signals were also denoised using a traditional notch filtering approach and the results assessed using three performance parameters: Signal to noise ratio (SNR), Mean Square Error (MSE) and Signal Correlation Value (SCV). 12 of the 32 wavelet functions utilized for mains interference denoising outperformed the traditional notch filtering approach, with the top four performing wavelets being Daubechies ‘Db10’, Biorthogonal ‘Bior6.8’, DMeyer ‘Dmey’ and Daubechies ‘Db8’, with Db10 producing SNR, MSE and CCV values of 32.50, 5.13x10− 5 and 0.9995 respectively. This was considerably better than the notch filtering technique which produced comparable results of 25.67, 1.10x10− 3 and 0.9952 respectively. The second phase of this study assessed the effect that DWT PLI attenuation had on underlying fibrillatory wave morphology. The results indicate that discrete wavelet processing has a negligible effect on underlying fibrillatory waves and is therefore a viable method for mains noise removal in ECG analysis of AF patients.

AB - The objective of this study is to assess the efficacy of Discrete Wavelet Transform (DWT) in the removal of power line (50Hz) interference (PLI). Eighteen mains noise corrupted ECG signals were denoised using thirty two different DWT mother wavelets in order to assess which are the top performing for power line interference cancellation. For comparative purposes the signals were also denoised using a traditional notch filtering approach and the results assessed using three performance parameters: Signal to noise ratio (SNR), Mean Square Error (MSE) and Signal Correlation Value (SCV). 12 of the 32 wavelet functions utilized for mains interference denoising outperformed the traditional notch filtering approach, with the top four performing wavelets being Daubechies ‘Db10’, Biorthogonal ‘Bior6.8’, DMeyer ‘Dmey’ and Daubechies ‘Db8’, with Db10 producing SNR, MSE and CCV values of 32.50, 5.13x10− 5 and 0.9995 respectively. This was considerably better than the notch filtering technique which produced comparable results of 25.67, 1.10x10− 3 and 0.9952 respectively. The second phase of this study assessed the effect that DWT PLI attenuation had on underlying fibrillatory wave morphology. The results indicate that discrete wavelet processing has a negligible effect on underlying fibrillatory waves and is therefore a viable method for mains noise removal in ECG analysis of AF patients.

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UR - http://www.springer.com/gb/book/9783319193861?wt_mc=ThirdParty.SpringerLink.3.EPR653.About_eBook

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