Heart Rate Estimation Based on Remote Photoplethysmography Signal Hilbert Transform

In this paper, methodology of frequency analysis of remote photoplethysmography signals is considered. The intelligent analysis methods for assessing peripheral blood vessels pulsations instantaneous frequency are presented. Logically related stages of quadrature components formation based on biomed...

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Bibliographic Details
Published in2024 26th International Conference on Digital Signal Processing and its Applications (DSPA) pp. 1 - 5
Main Authors Labunets, Leonid V., Ryakhina, Mariya Yu
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.03.2024
Subjects
data mining
discrete Hilbert transform
Electrocardiography
Estimation
Heart rate
instantaneous frequencies and periods of heart rate
pulse wave
remote photoplethysmography
Signal processing algorithms
Time series analysis
Time-frequency analysis
Transforms
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Summary:In this paper, methodology of frequency analysis of remote photoplethysmography signals is considered. The intelligent analysis methods for assessing peripheral blood vessels pulsations instantaneous frequency are presented. Logically related stages of quadrature components formation based on biomedical signals Hilbert transform are analyzed. Realizations of adaptive estimations of instantaneous frequencies of the basic heart rate tone have been obtained within the framework of modern methods of intellectual analysis of non-stationary time series. Results of implementation the algorithms based on Hilbert transform, unwrapped phase and pseudo-phase portrait were compared with the actual heart rate obtained with the ECG and demonstrate the compliance. An important advantage of the proposed approach in terms of price/quality criteria consists in modern algorithms of digital correlation-spectral analysis, effectively realized in real time by both algorithmic and hardware means.
DOI:10.1109/DSPA60853.2024.10510151