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Adaptive noise canceller for magnetocardiography

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3 Author(s)
Tiporlini, V. ; Electron Sci. Res. Inst., Edith Cowan Univ., Joondalup, WA, Australia ; Nghia Nguyen ; Alameh, K.

This paper discusses the use of adaptive noise cancellation in magnetocardiography system within unshielded environment using three algorithms: Least-Mean Squared (LMS) algorithm; normalized LMS (nLMS) algorithm and Genetic Algorithms (GA). Simulation results show that for low signal-to-noise ratio (SNR) values, the GA algorithm outperforms the other algorithms, displaying an improvement in SNR of 51.155 dB and completely suppressing the noise sources at 60 Hz and at low frequencies. However, the convergence time of the GA algorithm is longer due to the high computational complexity.

Published in:

High Capacity Optical Networks and Enabling Technologies (HONET), 2011

Date of Conference:

19-21 Dec. 2011