Geodesic
Noise cancellation in unshielded magnetocardiography based on Least-Mean-Squared algorithm and genetic algorithm
Nanosistemy: fizika, himiâ, matematika, Tome 4 (2013) no. 3, pp. 417-424.

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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). Simulation results show that the GA algorithm outperforms the LMS algorithm in extracting a weak heart signal from a muchstronger 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.
Keywords: magnetocardiography, adaptive noise cancellation, Least-Mean-Squared algorithm, genetic algorithms. 
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     author = {Valentina Tiporlini and Hoang N. Nguyen and Kamal Alameh},
     title = {Noise cancellation in unshielded magnetocardiography based on {Least-Mean-Squared} algorithm and genetic algorithm},
     journal = {Nanosistemy: fizika, himi\^a, matematika},
     pages = {417--424},
     publisher = {mathdoc},
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     number = {3},
     year = {2013},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/NANO_2013_4_3_a16/}
}
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Valentina Tiporlini; Hoang N. Nguyen; Kamal Alameh. Noise cancellation in unshielded magnetocardiography based on Least-Mean-Squared algorithm and genetic algorithm. Nanosistemy: fizika, himiâ, matematika, Tome 4 (2013) no. 3, pp. 417-424. http://geodesic.mathdoc.fr/item/NANO_2013_4_3_a16/