Literature DB >> 34087217

Low-frequency component of photoplethysmogram reflects the autonomic control of blood pressure.

Anatoly S Karavaev1, Anatoly S Borovik2, Ekaterina I Borovkova3, Eugeniya A Orlova2, Margarita A Simonyan4, Vladimir I Ponomarenko5, Viktoriia V Skazkina6, Vladimir I Gridnev3, Boris P Bezruchko5, Mikhail D Prokhorov7, Anton R Kiselev8.   

Abstract

The question of how much information the photoplethysmogram (PPG) signal contains on the autonomic regulation of blood pressure (BP) remains unsolved. This study aims to compare the low-frequency (LF) and high-frequency components of PPG and BP and assess their correlation with oscillations in interbeat (RR) intervals at similar frequencies. The PPG signal from the distal phalanx of the right index finger recorded using a reflective PPG sensor at green light, the BP signal from the left hand recorded using a Finometer, and RR intervals were analyzed. These signals were simultaneously recorded within 15 min in a supine resting condition in 17 healthy subjects (12 males and 5 females) aged 33 ± 9 years (mean ± SD). The study revealed the high coherence of LF components of PPG and BP with the LF component of RR intervals. The high-frequency components of these signals had low coherence. The analysis of the signal instantaneous phases revealed the presence of high-phase coherence between the LF components of PPG and BP. It is shown that the LF component of PPG is determined not only by local myogenic activity but also reflects the processes of autonomic control of BP.
Copyright © 2021 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 34087217      PMCID: PMC8390904          DOI: 10.1016/j.bpj.2021.05.020

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   3.699


  49 in total

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2.  Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.

Authors: 
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Authors:  Maja Elstad; Lars Walløe; Ki H Chon; Karin Toska
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Authors:  Liangyou Chen; Andrew T Reisner; Andrei Gribok; Jaques Reifman
Journal:  Shock       Date:  2010-11       Impact factor: 3.454

6.  Gain-induced oscillations in blood pressure.

Authors:  R M Abbiw-Jackson; W F Langford
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8.  Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm.

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9.  Innovative Multi-Site Photoplethysmography Analysis for Quantifying Pulse Amplitude and Timing Variability Characteristics in Peripheral Arterial Disease.

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Review 10.  Advances in Photopletysmography Signal Analysis for Biomedical Applications.

Authors:  Jermana L Moraes; Matheus X Rocha; Glauber G Vasconcelos; José E Vasconcelos Filho; Victor Hugo C de Albuquerque; Auzuir R Alexandria
Journal:  Sensors (Basel)       Date:  2018-06-09       Impact factor: 3.576

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Authors:  Anatoly S Karavaev; Viktoriia V Skazkina; Ekaterina I Borovkova; Mikhail D Prokhorov; Aleksey N Hramkov; Vladimir I Ponomarenko; Anastasiya E Runnova; Vladimir I Gridnev; Anton R Kiselev; Nikolay V Kuznetsov; Leonid S Chechurin; Thomas Penzel
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7.  The Effect of Aquatic Exercise Training on Heart Rate Variability in Patients with Coronary Artery Disease.

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  7 in total

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