najoNanosystems: Physics, Chemistry, MathematicsНаносистемы: физика, химия, математика2220-80542305-7971Университет ИТМОnajo-1321Research ArticlePAPERS, PRESENTED AT MAM-12PAPERS, PRESENTED AT MAM-12Noise Cancellation in Unshielded Magnetocardiography based on Least-Mean-Squared Algorithm and Genetic AlgorithmTiporliniV.

Electron Science Research Institute

v.tiporlini@ecu.edu.auNguyenHoang N.

Electron Science Research Institute

h.nguyen@ecu.edu.auAlamehK.

Electron Science Research Institute

k.alameh@ecu.edu.auEdith Cowan University JoondalupAustralia20132108202543417424Copyright © Tiporlini V., Nguyen H.N., Alameh K., 20252025Tiporlini V., Nguyen H.N., Alameh K.Tiporlini V., Nguyen H.N., Alameh K.This work is licensed under a Creative Commons Attribution 4.0 License.https://nanojournal.ifmo.ru/jour/article/view/1321

This paper discusses adaptive noise cancellation in magnetocardiographic systems within unshielded environment using two algorithms, namely, the Least-Mean-Squared (LMS) algorithm and the Genetic Algorithm (GA). Simu- lation results show that the GA algorithm outperforms the LMS algorithm in extracting a weak heart signal from a much-stronger magnetic noise, with a signal-to-noise ratio (SNR) of -35.8 dB. The GA algorithm displays an improvement in SNR of 37.4 dB and completely suppresses the noise sources at 60Hz and at low frequencies; while the LMS algorithm exhibits an improvement in SNR of 33 dB and noisier spectrum at low frequencies. The GA algorithm is shown to be able to recover a heart signal with the QRS and T features being easily extracted. On the other hand, the LMS algorithm can also recover the input signal, however, with a lower SNR improvement and noisy QRS complex and T wave.

Magnetocardiographyadaptive noise cancellationLeast-Mean-Squared algorithmgenetic algorithmsReferencesF.E.Smith, et al. Comparison of magnetocardiography and electrocardiography: a study of automatic measurement of dispersion of ventricular repolarization. The European Society of Cardiology, 8, P. 887–893 (2006).F.E.Smith, et al. Comparison of magnetocardiography and electrocardiography: a study of automatic measurement of dispersion of ventricular repolarization. The European Society of Cardiology, 8, P. 887–893 (2006).G.Bison, R.Wynards, A.Weis. Dynamical mapping of the human cardiomagnetic field with a roomЁtemperature, laser-optical sensor. Optics Express, 11, P. 904–909 (2003).G.Bison, R.Wynards, A.Weis. Dynamical mapping of the human cardiomagnetic field with a roomЁtemperature, laser-optical sensor. Optics Express, 11, P. 904–909 (2003).J.Q.Campbell, et al. Fetal Magnetocardiographic Source Separation: Indipendent Component Analysis Techniques and Signal-Space Projection. International Journal of Bioelectromagnetism, 7, P. 329–333 (2005).J.Q.Campbell, et al. Fetal Magnetocardiographic Source Separation: Indipendent Component Analysis Techniques and Signal-Space Projection. International Journal of Bioelectromagnetism, 7, P. 329–333 (2005).R.Fenici, D.Brisinda, A.M.Meloni, P.Fenici. First 36-Channel System for Clinical Magnetocardiography in Unshielded Hospital laboratory for Cardiac Electrophysiology. International Journal of Bioelectromagnetism, 5, P. 80–83 (2003).R.Fenici, D.Brisinda, A.M.Meloni, P.Fenici. First 36-Channel System for Clinical Magnetocardiography in Unshielded Hospital laboratory for Cardiac Electrophysiology. International Journal of Bioelectromagnetism, 5, P. 80–83 (2003).N.V.Thakor, Y.-S.Zhu. Applications of Adaptive Filtering to ECG Analysis: Noise Cancellation and Arrhytmia Detection. IEEE Transactions on Biomedical Engineering, 38, P. 785–794 (1991).N.V.Thakor, Y.-S.Zhu. Applications of Adaptive Filtering to ECG Analysis: Noise Cancellation and Arrhytmia Detection. IEEE Transactions on Biomedical Engineering, 38, P. 785–794 (1991).M.Z.U.Rahman, R.A.Shaik, R.K.Reddy. Noise Cancellation in ECG Signals using Computationally Simplified Adaptive Filtering Techniques: Application to Biotelemetry. Signal Processing: An International Juornal, 3, P. 120–131 (2009).M.Z.U.Rahman, R.A.Shaik, R.K.Reddy. Noise Cancellation in ECG Signals using Computationally Simplified Adaptive Filtering Techniques: Application to Biotelemetry. Signal Processing: An International Juornal, 3, P. 120–131 (2009).B.Widrow, et al. Adaptive Noise Cancelling: Principles and Applications. Proceedings of the IEEE, 63, P. 1692–1716 (1975).B.Widrow, et al. Adaptive Noise Cancelling: Principles and Applications. Proceedings of the IEEE, 63, P. 1692–1716 (1975).P.S.R.Diniz. Adaptive Filtering Algorithms and Practical Implementation, Springer (2008).P.S.R.Diniz. Adaptive Filtering Algorithms and Practical Implementation, Springer (2008).D.E.Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley pubblishing company, inc. (1989).D.E.Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley pubblishing company, inc. (1989).A.Chipperfield, P.Fleming, H.Pohlheim, C.Fonseca. Genetic Algorithm Toolbox For Use with Matlab. User’s Guide, version 1.2 (2005).A.Chipperfield, P.Fleming, H.Pohlheim, C.Fonseca. Genetic Algorithm Toolbox For Use with Matlab. User’s Guide, version 1.2 (2005).M.GB and M.RG. The impact of the MIT-BIH Arrhythmia Database. IEEE Engineering in Medicine and Biology, 20, P. 45–50 (2001).M.GB and M.RG. The impact of the MIT-BIH Arrhythmia Database. IEEE Engineering in Medicine and Biology, 20, P. 45–50 (2001).MIT-BIH Arrhythmia Database. Available: http://physionet.org/physiobank/database/mitdb/.MIT-BIH Arrhythmia Database. Available: http://physionet.org/physiobank/database/mitdb/.J.Malmivuo, R.Plonsey. Bioelectromagnetism. Principles and Applications of Bioelectric and Biomagnetic Fields. New York Osford: Oxford University Press (1995).J.Malmivuo, R.Plonsey. Bioelectromagnetism. Principles and Applications of Bioelectric and Biomagnetic Fields. New York Osford: Oxford University Press (1995).

The authors declare that there are no conflicts of interest present.