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<p>This work proposes a&#xa0;method for studying the variability of a&#xa0;subject’s heart rate based on the intelligent analysis of non-stationary time series measured by non-contact photoplethysmography. Logically consistent stages in the identification of pulse wave parameters are presented based on its empirical mode decomposition into trend and cyclic structural components. Adaptive estimates of the instantaneous frequency of the fundamental heart rate are obtained using modern methods of digital spectral estimation and singular analysis of the cyclic component of the pulse wave.</p>

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Empirical mode decomposition of remote photoplethysmography signals for assessment of heart rate

  • 期刊论文

  • 发表日期：

    2025年9月22日

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  • L. V. Labunets

摘要

This work proposes a method for studying the variability of a subject’s heart rate based on the intelligent analysis of non-stationary time series measured by non-contact photoplethysmography. Logically consistent stages in the identification of pulse wave parameters are presented based on its empirical mode decomposition into trend and cyclic structural components. Adaptive estimates of the instantaneous frequency of the fundamental heart rate are obtained using modern methods of digital spectral estimation and singular analysis of the cyclic component of the pulse wave.