Literature DB >> 10396841

Estimation of respiratory volumes from the photoplethysmographic signal. Part 2: A model study.

A Johansson1, P A Oberg.   

Abstract

A Windkessel model has been constructed with the aim of investigating the respiratory-volume dependence of the photoplethysmographic (PPG) signal. Experimental studies show a correlation between respiratory volume and the peak-to-peak value of the respiratory-induced intensity variations (RIIV) in the PPG signal. The model compartments are organised in two closed chambers, representing the thorax and the abdomen, and in a peripheral part not directly influenced by respiration. Cardiac pulse and respiration are created by continuous adjustment of the pressures in the affected compartments. Together with the criteria for heart and venous valves, the model is based on a set of 17 differential equations. These equations are solved for varying thoracic and abdominal pressures corresponding to different respiratory volumes. Furthermore, a sensitivity analysis is performed to evaluate the properties of the model. The PPG signals are created as a combination of peripheral blood flow and pressure. From these signals, the respiratory synchronous parts are extracted and analysed. To study some important limitations of the model, respiratory type and rate are varied. From the simulations, it is possible to verify our earlier experimental results concerning the relationship between respiratory volume and the peak-to-peak value of the RIIV signal. An expected decrease in the amplitude of the respiratory signal with increased respiratory rate is also found, which is due to the lowpass characteristics of the vessel system. Variations in the relationship between thoracic and abdominal respiration also affect the RIIV signal. The simulations explain and verify what has been found previously in experimental studies.

Entities:  

Mesh:

Year:  1999        PMID: 10396841     DOI: 10.1007/bf02513265

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  15 in total

1.  AN ANALYSIS OF PRESSURE-VOLUME CHARACTERISTICS OF THE LUNGS.

Authors:  E SALAZAR; J H KNOWLES
Journal:  J Appl Physiol       Date:  1964-01       Impact factor: 3.531

2.  Cardiac output and related measurements and pressure values in the right heart and associated vessels, together with an analysis of the hemo-dynamic response to the inhalation of high oxygen mixtures in healthy subjects.

Authors:  B G BARRATT-BOYES; E H WOOD
Journal:  J Lab Clin Med       Date:  1958-01

3.  Low-frequency variability in the blood volume and in the blood volume pulse measured by photoplethysmography.

Authors:  M Nitzan; S Turivnenko; A Milston; A Babchenko; Y Mahler
Journal:  J Biomed Opt       Date:  1996-04       Impact factor: 3.170

4.  Autonomic control of skin microvessels: assessment by power spectrum of photoplethysmographic waves.

Authors:  L Bernardi; A Radaelli; P L Solda; A J Coats; M Reeder; A Calciati; C S Garrard; P Sleight
Journal:  Clin Sci (Lond)       Date:  1996-05       Impact factor: 6.124

5.  Transmission of pressure within the abdomen.

Authors:  G E Tzelepis; L Nasiff; F D McCool; J Hammond
Journal:  J Appl Physiol (1985)       Date:  1996-09

6.  Model studies of the effects of the thoracic pressure on the circulation.

Authors:  R Beyar; Y Goldstein
Journal:  Ann Biomed Eng       Date:  1987       Impact factor: 3.934

7.  Cardiac assist by intrathoracic and abdominal pressure variations: a mathematical study.

Authors:  R Beyar; S Sideman; U Dinnar
Journal:  Med Biol Eng Comput       Date:  1984-11       Impact factor: 2.602

8.  Computer studies of systemic and regional blood flow mechanisms during cardiopulmonary resuscitation.

Authors:  R Beyar; Y Kishon; S Sideman; U Dinnar
Journal:  Med Biol Eng Comput       Date:  1984-11       Impact factor: 2.602

9.  A method for clinical evaluation of peripheral circulation: photoelectric hemodensitometry.

Authors:  S Eldrup-Jorgensen; S I Schwartz; J D Wallace
Journal:  Surgery       Date:  1966-04       Impact factor: 3.982

10.  Mathematical analysis and digital simulation of the respiratory control system.

Authors:  F S Grodins; J Buell; A J Bart
Journal:  J Appl Physiol       Date:  1967-02       Impact factor: 3.531

View more
  11 in total

1.  Estimation of respiratory volumes from the photoplethysmographic signal. Part I: Experimental results.

Authors:  A Johansson; P A Oberg
Journal:  Med Biol Eng Comput       Date:  1999-01       Impact factor: 2.602

2.  Influence of tidal volume and thoraco-abdominal separation on the respiratory induced variation of the photoplethysmogram.

Authors:  A Johansson; T Strömberg
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

3.  Neural network for photoplethysmographic respiratory rate monitoring.

Authors:  A Johansson
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

4.  Respiratory variations in the reflection mode photoplethysmographic signal. Relationships to peripheral venous pressure.

Authors:  L Nilsson; A Johansson; S Kalman
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

Review 5.  Critical review of non-invasive respiratory monitoring in medical care.

Authors:  M Folke; L Cernerud; M Ekström; B Hök
Journal:  Med Biol Eng Comput       Date:  2003-07       Impact factor: 2.602

6.  Reconstruction of gastric slow wave from finger photoplethysmographic signal using radial basis function neural network.

Authors:  S Mohamed Yacin; V Srinivasa Chakravarthy; M Manivannan
Journal:  Med Biol Eng Comput       Date:  2011-07-12       Impact factor: 2.602

7.  Validation of forehead venous pressure as a measure of respiratory effort for the diagnosis of sleep apnea.

Authors:  Djordje Popovic; Christopher King; Melanie Guerrero; Daniel J Levendowski; Delmer Henninger; Philip R Westbrook
Journal:  J Clin Monit Comput       Date:  2008-12-31       Impact factor: 2.502

8.  Identification of apnea during respiratory monitoring using support vector machine classifier: a pilot study.

Authors:  Paruthi Pradhapan; Muthukaruppan Swaminathan; Hari Krishna Salila Vijayalal Mohan; N Sriraam
Journal:  J Clin Monit Comput       Date:  2012-11-21       Impact factor: 2.502

9.  Quantifying the Delays Between Multi-Site Photoplethysmography Pulse and Electrocardiogram R-R Interval Changes Under Slow-Paced Breathing.

Authors:  John Allen
Journal:  Front Physiol       Date:  2019-09-25       Impact factor: 4.566

10.  A role for haemolymph oxygen capacity in heat tolerance of eurythermal crabs.

Authors:  Folco Giomi; Hans-Otto Pörtner
Journal:  Front Physiol       Date:  2013-05-15       Impact factor: 4.566

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.