Algorithm of Sliding Correlation-Spectral Analysis for the Pulse Wave Instantaneous Frequency Estimation

This paper discusses methods and algorithms for studying the variability of the subject's heart rate by means of intelligent analysis of the pulse wave signal registered with remote photoplethysmography. Successive steps of obtaining the time series correlation-spectral characteristics consider...

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Bibliographic Details
Published inInternational Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE ...) (Online) pp. 1 - 6
Main Authors Labunets, Leonid V., Ryakhina, Mariya Yu
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.02.2024
Subjects
correlation-spectral analysis
Heart rate
Heuristic algorithms
intellectual data analysis
Photoplethysmography
Power engineering
pulse wave
Signal processing algorithms
Time series analysis
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Summary:This paper discusses methods and algorithms for studying the variability of the subject's heart rate by means of intelligent analysis of the pulse wave signal registered with remote photoplethysmography. Successive steps of obtaining the time series correlation-spectral characteristics considering the complex character of biomedical signals' time changes are presented. The aim of this study is to consider the content of intellectual digital signal processing of remote photoplethysmography signals, the methodology for estimating the instantaneous period of a quasi-harmonic pulse wave signal, as well as the application of these methods at the stage of the cardiovascular system diagnostic equipment development.
ISSN:2831-7262
DOI:10.1109/REEPE60449.2024.10479863