Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
Electron Science Research Institute (ESRI)
RAS ID
13149
Abstract
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.
DOI
10.1109/HONET.2011.6149770
Access Rights
free_to_read
Comments
This is an Author's Accepted Manuscript of: Tiporlini, V., Nguyen, N., & Alameh, K. (2011). Adaptive noise canceller for magnetocardiography. Paper presented at High-Capacity Optical Networks and Enabling Technologies (HONET) 2011, Riyadh, Saudi Arabia. Available here
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