Study of pulse wave parameters based on the instantaneous frequency of the remote photoplethysmography signal

The article is devoted to the actual problem of studying the indicators of instantaneous frequencies and periods of the pulse wave signal registered by electrocardiography and remote photoplethysmography and considering the indicators of heart rate variability on the basis of the obtained data. Target – justification of the stages of the system approach to the automated analysis of remote photoplethysmography signals and the possibility of calculating heart rate variability indices by non-contact methods. The basic indices of heart rate variability were obtained on the basis of rhythmograms. The obtained results were analysed on the correspondence between the values of instantaneous heart rate on the basis of remote photoplethysmography and electrocardiography data was carried out. According to the price/quality criteria, the advantages of the methodology of structural decomposition of non-stationary time series of electrocardiography and remote photoplethysmography on their own wave processes were demonstrated. The effectiveness of machine learning methods for models of patterns hidden in the dynamics of the pulse wave for the identification of instantaneous periods of the basic heart rate tone of the subjects is substantiated.

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Publication Details

Journal
Dynamics of Complex Systems - XXI century
Published
2025-01-01
DOI
https://doi.org/10.18127/j19997493-202503-08
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Study of pulse wave parameters based on the instantaneous frequency of the remote photoplethysmography signal

Mariya Yu. Ryakhina, L. V. Labunets
Dynamics of Complex Systems - XXI century
Non-Invasive Vital Sign Monitoring
article

Study of pulse wave parameters based on the instantaneous frequency of the remote photoplethysmography signal

Mariya Yu. Ryakhina, L. V. Labunets
article en

Abstract

The article is devoted to the actual problem of studying the indicators of instantaneous frequencies and periods of the pulse wave signal registered by electrocardiography and remote photoplethysmography and considering the indicators of heart rate variability on the basis of the obtained data. Target – justification of the stages of the system approach to the automated analysis of remote photoplethysmography signals and the possibility of calculating heart rate variability indices by non-contact methods. The basic indices of heart rate variability were obtained on the basis of rhythmograms. The obtained results were analysed on the correspondence between the values of instantaneous heart rate on the basis of remote photoplethysmography and electrocardiography data was carried out. According to the price/quality criteria, the advantages of the methodology of structural decomposition of non-stationary time series of electrocardiography and remote photoplethysmography on their own wave processes were demonstrated. The effectiveness of machine learning methods for models of patterns hidden in the dynamics of the pulse wave for the identification of instantaneous periods of the basic heart rate tone of the subjects is substantiated.

Dynamics of Complex Systems - XXI centuryVol. 19(3)
Openalex Percentile: Top 77%
Non-Invasive Vital Sign Monitoring
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