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Cited by 55Non-Invasive Vital Sign MonitoringHemodynamic Monitoring and TherapyHeart Rate Variability and Autonomic Control

Macrocirculation is not the sole determinant of respiratory induced variations in the reflection mode photoplethysmographic signal

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Nilsson, L, Johansson, A, Kalman, S·2003·Physiological Measurement
DOI 10.1088/0967-3334/24/4/009
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Abstract

Photoplethysmography (PPG) is a non-invasive optical technique sensitive to variations in blood volume and perfusion in the tissue. Reflection mode PPG may have clinical advantages over transmission mode PPG. To improve clinical usefulness and further development of the reflection mode PPG, studies on factors that modify the signal are warranted. We studied the coherence between the respiratory induced intensity variations (RIIV) of the PPG signal and respiratory synchronous pressure variations in central venous pressure (CVP), peripheral venous pressure (PVP) and arterial blood pressure (ABP) during positive pressure ventilation on 12 patients under anaesthesia and on 12 patients with spontaneous breathing. During positive pressure ventilation the coherence between all signals was high. Inspiration was followed first by an increase in CVP, then by increases in ABP and PVP and lastly by RIIV indicating less back-scattered light. In spontaneously breathing patients the coherence was high, but the phases between the signals were changed. During inspiration, ABP decreased slightly before CVP, followed by a decrease in RIIV and PVP. The phase relation between RIIV and respiratory induced variation in macrocirculation changed with ventilatory mode, but not in a uniform way, indicating the influence of mechanisms other than macrocirculation involved in generating the RIIV signal.

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  • Venous pressure can add low-frequency noise to the PPG waveform, often between 0 and 0.5 Hz, contributing to baseline oscillations.

    “Venous pressure can also add low-frequency noise to the PPG waveform, the same effects seen by respiration, which is caused by venous anatomy [129,130,131]. Often between 0 and 0.5 Hz, this noise contributes to be baseline oscillations.”

    From Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring (2021) · cites this paper as [131]

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Authors
Nilsson, L., Johansson, A., & Kalman, S.
Affiliations
  • Linköping University Hospital (SE)
  • Linköping University (SE)
ORCID
Venue
Physiological Measurement
Publisher
IOP Publishing
Published
2003-10-31
Volume
24
Issue
4
Pages
925-937
ISSN
  • 0967-3334 (ISSN-L)
  • 1361-6579
DOI
10.1088/0967-3334/24/4/009
OpenAlex
W2139142627
Cited by
55
References
30
Citations by year
2026: 1 · 2025: 1 · 2022: 3 · 2021: 2 · 2020: 3 · 2019: 3 · 2018: 1 · 2016: 1 · 2015: 2 · 2014: 4 · 2013: 2 · 2012: 4
FWCI
3.14
Type
journal article
Language
en
Open access
Locations
  • Physiological Measurement (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Keywords
macrocirculation, central venous pressure, peripheral venous pressure, arterial blood pressure, positive pressure ventilation, spontaneous breathing, coherence analysis, phase equilibria, anesthesia
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Apnea, Blood Pressure, Blood Volume, Central Venous Pressure, Child, Data Interpretation, Statistical, Female, Fourier Analysis, Humans, Male, Microcirculation, Middle Aged, Positive-Pressure Respiration, Respiratory Mechanics, Photoplethysmography

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