Literature DB >> 14658783

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

L Nilsson1, A Johansson, S Kalman.   

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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Year:  2003        PMID: 14658783     DOI: 10.1088/0967-3334/24/4/009

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  12 in total

1.  Using the morphology of photoplethysmogram peaks to detect changes in posture.

Authors:  Stephen P Linder; Suzanne M Wendelken; Edward Wei; Susan P McGrath
Journal:  J Clin Monit Comput       Date:  2006-05-11       Impact factor: 2.502

2.  Age and gender do not influence the ability to detect respiration by photoplethysmography.

Authors:  Lena Nilsson; Tomas Goscinski; Anders Johansson; Lars-Göran Lindberg; Sigga Kalman
Journal:  J Clin Monit Comput       Date:  2006-10-11       Impact factor: 2.502

3.  A new method for objective identification and measurement of airway lumen in paediatric flexible videobronchoscopy.

Authors:  I B Masters; M M Eastburn; R Wootton; R S Ware; P W Francis; P V Zimmerman; A B Chang
Journal:  Thorax       Date:  2005-08       Impact factor: 9.139

4.  Detection of sleep disordered breathing and its central/obstructive character using nasal cannula and finger pulse oximeter.

Authors:  Dirk Sommermeyer; Ding Zou; Ludger Grote; Jan Hedner
Journal:  J Clin Sleep Med       Date:  2012-10-15       Impact factor: 4.062

5.  Noninvasive detection of the hemodynamic stress of exercise using the photoplethysmogram.

Authors:  Stephen Paul Linder; Suzanne Wendelken; Jeffrey Clayman; Paul R Steiner
Journal:  J Clin Monit Comput       Date:  2008-06-25       Impact factor: 2.502

6.  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

7.  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

8.  Pulse oximetry-derived respiratory rate in general care floor patients.

Authors:  Paul S Addison; James N Watson; Michael L Mestek; James P Ochs; Alberto A Uribe; Sergio D Bergese
Journal:  J Clin Monit Comput       Date:  2014-05-06       Impact factor: 2.502

Review 9.  Fluid responsiveness in the pediatric population.

Authors:  Ji-Hyun Lee; Eun-Hee Kim; Young-Eun Jang; Hee-Soo Kim; Jin-Tae Kim
Journal:  Korean J Anesthesiol       Date:  2019-10-01

Review 10.  Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring.

Authors:  Jesse Fine; Kimberly L Branan; Andres J Rodriguez; Tananant Boonya-Ananta; Jessica C Ramella-Roman; Michael J McShane; Gerard L Coté
Journal:  Biosensors (Basel)       Date:  2021-04-16
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