Adaptive removal of power-line interference from high resolution ECG
ABSTRACT
The paper presents a novel approach to adaptive removal of power-line interference, taken to be at 50 Hz, from high resolution ECG sampled at 1 KHz. ECG data consists of 12 lead data. Each of the 12 leads contains power line interference at the time of acquisition. So power line interference needs to be removed from each lead. An approach that uses the power spectral density over the range of interest is used to determine the exact frequency of the interfering component and filter coefficients for the desired notch filter are determined using an interpolation technique.
The paper presents a novel approach to adaptive removal of power-line interference, taken to be at 50 Hz, from high resolution ECG sampled at 1 KHz. ECG data consists of 12 lead data. Each of the 12 leads contains power line interference at the time of acquisition. So power line interference needs to be removed from each lead. An approach that uses the power spectral density over the range of interest is used to determine the exact frequency of the interfering component and filter coefficients for the desired notch filter are determined using an interpolation technique.
Cite this paper
Sadiq, I. , Zuberi, A. , Zaman, I. , Hassan, A. and Zaidi, T. (2012) Adaptive removal of power-line interference from high resolution ECG. Advances in Bioscience and Biotechnology, 3, 324-326. doi: 10.4236/abb.2012.34047.
Sadiq, I. , Zuberi, A. , Zaman, I. , Hassan, A. and Zaidi, T. (2012) Adaptive removal of power-line interference from high resolution ECG. Advances in Bioscience and Biotechnology, 3, 324-326. doi: 10.4236/abb.2012.34047.
References
[1] Proakis, J.G. and Manolakis, D.G. (1996) Digital signal processing. 3rd Edition, Prentice Hall, Upper Saddle River, 343-345. [2] Olguín, D.O., Bouchereau, F. and Martínez, S. (2005) Adaptive notch filter for EEG signals based on the LMS algorithm with variable step-size parameter. Conference on Information Sciences and Systems, Baltimore, 16-18 March 2005. [3] Mihov, G. (2011) Subtraction procedure for removing powerline interference from ECG: Dynamic threshold linearity criterion for interference suppression. The 4th International Conference on Biomedical Engineering and Informatics (BMEI), Sofia, 15-17 October 2011. [4] Malindi, P. (2002) Cancelling power line interference in electrophy-siological signals. ECT Research Journal, 2.
[1] Proakis, J.G. and Manolakis, D.G. (1996) Digital signal processing. 3rd Edition, Prentice Hall, Upper Saddle River, 343-345. [2] Olguín, D.O., Bouchereau, F. and Martínez, S. (2005) Adaptive notch filter for EEG signals based on the LMS algorithm with variable step-size parameter. Conference on Information Sciences and Systems, Baltimore, 16-18 March 2005. [3] Mihov, G. (2011) Subtraction procedure for removing powerline interference from ECG: Dynamic threshold linearity criterion for interference suppression. The 4th International Conference on Biomedical Engineering and Informatics (BMEI), Sofia, 15-17 October 2011. [4] Malindi, P. (2002) Cancelling power line interference in electrophy-siological signals. ECT Research Journal, 2.