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.
|Title of host publication||Unknown Host Publication|
|Number of pages||4|
|Publication status||Published - 30 Oct 2015|
|Event||World Congress on Medical Physics and Biomedical Engineering -2015 - Toronto, Canada.|
Duration: 30 Oct 2015 → …
|Conference||World Congress on Medical Physics and Biomedical Engineering -2015|
|Period||30/10/15 → …|
- Wavelet Transform
- atrial fibrillation
- 50Hz Interference removal
- ECG denoising.