Cited by 47Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic ControlHemodynamic Monitoring and Therapy

Comparison of respiratory-induced variations in photoplethysmographic signals

Open access
Li, Jin, Jin, Jie, Chen, Xiang, Sun, Weixin, Guo, Ping·2010·Physiological Measurement

Abstract

Photoplethysmography (PPG) is an optical method for detecting blood volume changes in tissue. Respiratory-induced intensity, frequency and amplitude variations are contained in the PPG signal; thus, an understanding of the relationships between all of these variations and respiration is essential to advancing respiration monitoring based on PPG. This study investigated correlations between respiratory-induced variations extracted from PPG and simultaneous respiratory signals. PPG signals were recorded from 28 healthy subjects under eight different conditions. Six respiratory-induced variations, i.e. the period of the systole, diastole and pulse, the amplitude of the systole and diastole, and the intensity variation, were determined from the PPG signal. The results indicate that, compared with the period of the pulse, the period of the systole and diastole correlates weakly with respiration; the amplitude of the diastole has a stronger correlation with respiration than the amplitude of the systole. For men, when the respiratory rate is less than 10 breaths min(-1), the period of the pulse has the strongest correlation with respiration, whereas up to or above 15 breaths min(-1), the intensity variation becomes strongest in the sitting posture, while the amplitude of the diastole is strongest in the supine posture. For women, compared with the other variations, the period of the pulse has nearly the strongest correlation with respiration, independent of respiratory rate or posture.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1088/0967-3334/31/3/009

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Respiration signal amplitude has the strongest influence on respiratory-induced variation of the PPG signal.

    “From experimentation results, it is concluded that respiration signal amplitude has the strongest influence on respiratory-induced variation of the PPG signal.”
  • As respiratory rate increases, the respiratory signal decreases, indicating that higher rates of respiration leads to lower fluctuations in respiratory influence changes to PPG.

    “Moreover, as the respiratory rate increases, the respiratory signal decreases, indicating that higher rates of respiration leads to lower fluctuations in respiratory influence changes to PPG [122].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Li, J., Jin, J., Chen, X., Sun, W., & Guo, P.
Affiliations
Xi'an Jiaotong University (CN)
Venue
Physiological Measurement
Published
2010-02-10
Volume
31
Issue
3
Pages
415-425
ISSN
  • 0967-3334 (ISSN-L)
  • 1361-6579
OpenAlex
W2081341964
Cited by
47
References
14
Citations by year
2025: 4 · 2024: 2 · 2023: 4 · 2022: 2 · 2021: 3 · 2020: 5 · 2019: 4 · 2018: 5 · 2017: 5 · 2016: 3 · 2015: 2 · 2014: 3 · 2013: 4
FWCI
0.94
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 › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
Keywords
photoplethysmography, respiratory monitoring, pulse period, respiratory rate, posture, sex differences
MeSH terms
Adolescent, Adult, Algorithms, Female, Heart Rate, Humans, Male, Middle Aged, Posture, Respiration, Sex Characteristics, Stochastic Processes, Time Factors, Photoplethysmography, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review