Abstract
A new method for detecting cardiac arrhythmias is proposed. The differences between the instantaneous frequencies of signals recorded in atrium and ventricle are computed by means of a non-linear spectral transform. This transform dilates or contracts the time scale until the ventricle signal has a flat frequency spectrum in time. Singular Spectrum Analysis is used to isolate its oscillatory components. The same temporal dilations and contractions are applied to the atrium signal, that is subsequently projected onto the oscillatory components found in the ventricle signal. It is shown that the frequency spectrum of the processed atrium signal becomes uneven only at arrhythmia episodes.
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Acknowledgements
This work was supported in part by the Science and Innovation Spanish Ministry and FEDER under the Projects TIN2014-56967-R and MTM2013-43671-P (AEI/FEDER, UE), and by the Principality of Asturias Government under Project FC-15-GRUPIN14-073.
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Fernández, J., Velasco, J., Sánchez, L. (2018). Detection of Cardiac Arrhythmias Through Singular Spectrum Analysis of a Time-Distorted EGM Signal. In: Pérez García, H., Alfonso-Cendón, J., Sánchez González, L., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding. SOCO ICEUTE CISIS 2017 2017 2017. Advances in Intelligent Systems and Computing, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-319-67180-2_13
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