Abstract
This article considers the possibility of application of high-resolution electrocardiography spectral methods to the analysis of the variability of cardiac cycle spectral analysis results, which will significantly improve the diagnostic capabilities of these methods. Implementation of the proposed approaches will move from a one-dimensional (the duration of the cardiac cycle) analysis of heart rate variability to a multidimensional (parameters of the form and location of the peaks of the cardiac cycle) analysis of the cardiac parameters.
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Baldin, A.V. et al. (2020). ECG Signal Spectral Analysis Approaches for High-Resolution Electrocardiography. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education II. AIMEE2018 2018. Advances in Intelligent Systems and Computing, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-12082-5_18
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DOI: https://doi.org/10.1007/978-3-030-12082-5_18
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