Slidingan analysis of analytical signal of non-contact photoplethysmography for assessing heart rate

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Abstract

The paper proposes a method for studying the variability of the subject’s heart rate based on the intellectual analysis of the pulse wave measured with remote photoplethysmography. The logically related stages of the formation of quadrature components based on the Hilbert transform of biomedical signals’ dynamics are presented. Within the framework of modern methods of intellectual analysis of non-stationary time series, realizations of adaptive estimates of instantaneous frequencies and periods of the heartbeat basic tone are obtained.

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About the authors

L. V. Labunets

Bauman Moscow State Technical University; Российский новый университет

Author for correspondence.
Email: labunets@bmstu.ru
Russian Federation, 2-ya Baumanskaya st., 5, Moscow, 105005; Radio st., 22, Moscow, 105005

D. S. Lukin

Российский новый университет

Email: labunets@bmstu.ru
Russian Federation, Radio st., 22, Moscow, 105005

M. Y. Ryakhina

Bauman Moscow State Technical University

Email: labunets@bmstu.ru
Russian Federation, 2-ya Baumanskaya st., 5, Moscow, 105005

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Supplementary files

Supplementary Files
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1. JATS XML
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2. Fig. 1. SPM dependences on the ns segment number for two examples of waves: P1H1 (a) and P1M3 with artifacts (b) and without artifacts (c).

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3. Fig. 2. Cluster structure of the matrix W of offset segments w(n): fragments for P1H1 (a) and P1M3 (b).

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4. Fig. 3. Dynamics of the estimation f1(t) of the instantaneous heart rate for P1H1 (a) and P1M3(b): noisy BP (curve 1), as well as its quasi-cyclical (2) and trend (3) components.

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5. Fig. 4. Dynamics of the estimation f2(t) of the instantaneous fundamental heart rate for P1H1 (a) and P1M3(b): noisy BP (curve 1), as well as its quasi- cyclic (2) and trend (3) components.

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6. Fig. 5. Dynamics of the f3(t) estimate of the instantaneous heart rate for P1H1: TFG (a): noisy BP (curve 1), quasi-cyclical (2) and trend(3) components of the f3(t) estimate (b).

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7. Figure 6. Dynamics of the f4(t) estimate of the instantaneous heart rate for P1H1(a) and P1M3(b): noisy BP (curve 1), as well as its quasi-cyclical (2) and trend (3) components.

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8. 7. Dynamics of the f5(t) estimate of the instantaneous heart rate for P1H1 (a) and P1M3(b): noisy BP (curve 1), as well as its quasi-cyclical (2) and trend (3) components.

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9. Figure 8. Comparative analysis of HR estimates for P1H1 (a) and P1M3 (b): trend component BP f1(n) of instantaneous frequencies (1), as well as trend (2) and Bollinger band boundaries (3) obtained by electrocardiography.

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