Abstract
The analysis of heart rate variability (HRV) is central for cardiac diagnostics, but the essential non-stationarity of heart rate has started to gain attention only recently. The aim of this work is to develop a set of special new techniques for calculating mathematical indicators of HRV spectral properties associated with non-stationarity in frequency. The analysis is done both for the new model of a tachogram taking into account frequency modulation and for the true tachogram record during head up tilt test. Continuous wavelet transformation of the frequency-modulated signal (CWT) has been derived in analytical form. The local frequency of heart rhythm giving the maximum of CWT has been determined. Treated as another non-stationary signal, this frequency has been subjected to CWT following double CWT procedure (DCWT). The special algorithm for eliminating boundary effects at the computing CWT is used. The transient periods for local frequency, the frequencies of local frequency fluctuation against the main trend and the periods of emergence and attenuation of such fluctuations have been defined by estimating the spectral integrals in the ranges {ULF, VLF, LF, HF}. The combined use of several new techniques taking into account the non-stationary character of heart rate can provide reliable diagnostic results.
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The work has been supported by the Russian Science Foundation (Grant of the RSF 17-12-01085).
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Bozhokin, S., Suslova, I., Tarakanov, D. (2020). Special Techniques in Applying Continuous Wavelet Transform to Non-stationary Signals of Heart Rate Variability. In: Roque, A., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2019. Communications in Computer and Information Science, vol 1211. Springer, Cham. https://doi.org/10.1007/978-3-030-46970-2_14
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