Abstract
The paper studies the influence of biorthogonal wavelets upon several steps of the processing of magnetocardiograms recorded in stress conditions: baseline drift correction, denoising, and compression. The implementation of a novel technique implies the performance of several tests in order to define the optimal parameters of the algorithms. Therefore, simulations have been performed using several biorthogonal families of mother wavelets. Analyzing the results, we notice that even a high baseline drift is properly corrected and that the denoising performances are better, compared to orthogonal wavelets. Also, there has been obtained a significant improvement of the compression ratio, enabling the development of a more competitive monitoring system.
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Arvinti, B., Costache, M., Stolz, R. (2016). Testing Biorthogonal Wavelets on Magnetocardiogram Processing Algorithms. In: Balas, V., Jain, L., Kovačević, B. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-18416-6_58
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DOI: https://doi.org/10.1007/978-3-319-18416-6_58
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