Literature DB >> 16095458

Respiration can be monitored by photoplethysmography with high sensitivity and specificity regardless of anaesthesia and ventilatory mode.

L Nilsson1, A Johansson, S Kalman.   

Abstract

BACKGROUND: Photoplethysmography (PPG) is a non-invasive optical technique used, for instance, in pulse oximetry. Beside the pulse synchronous component, PPG has a respiratory synchronous variation (PPGr). Efforts have been made to utilize this component for indirect monitoring of respiratory rate and volume. Assessment of the clinical usefulness as well as of the physiological background of PPGr is required. We evaluated if anaesthesia and positive-pressure ventilation would affect PPGr.
METHODS: We recorded reflection mode PPGr, at the forearm, and the respiratory synchronous changes in central venous pressure (CVP), peripheral venous pressure (PVP) and arterial blood pressure (ABP) in 12 patients. Recordings for each patient were made on three occasions: awake with spontaneous breathing; anaesthetized with spontaneous breathing; and anaesthetized with positive-pressure ventilation. We analyzed the sensitivity, specificity, coherence and time relationship between the signals.
RESULTS: PPGr sensitivity for breath detection was [mean (SD)] >86(21)% and specificity >96(12)%. Respiratory detection in the macrocirculation (CVP, PVP and ABP) showed a sensitivity >83(29)% and specificity >93(12)%. The coherence between signals was high (0.75-0.99). The three measurement situations did not significantly influence sensitivity, specificity or time shifts between the PPGr, PVP, ABP, and the reference CVP signal despite changes in physiological data between measurements.
CONCLUSION: A respiratory synchronous variation in PPG and all invasive pressure signals was detected. The reflection mode PPGr signal seemed to be a constant phenomenon related to respiration regardless of whether or not the subject was awake, anaesthetized or ventilated, which increases its clinical usefulness in respiratory monitoring.

Entities:  

Mesh:

Year:  2005        PMID: 16095458     DOI: 10.1111/j.1399-6576.2005.00721.x

Source DB:  PubMed          Journal:  Acta Anaesthesiol Scand        ISSN: 0001-5172            Impact factor:   2.105


  14 in total

1.  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

2.  Developing an algorithm for pulse oximetry derived respiratory rate (RR(oxi)): a healthy volunteer study.

Authors:  Paul S Addison; James N Watson; Michael L Mestek; Roger S Mecca
Journal:  J Clin Monit Comput       Date:  2012-01-10       Impact factor: 2.502

3.  Determination of saturation, heart rate, and respiratory rate at forearm using a Nellcor™ forehead SpO2-saturation sensor.

Authors:  Jarkko Harju; Antti Vehkaoja; Ville Lindroos; Pekka Kumpulainen; Sasu Liuhanen; Arvi Yli-Hankala; Niku Oksala
Journal:  J Clin Monit Comput       Date:  2016-10-17       Impact factor: 2.502

4.  Identifying airway obstructions using photoplethysmography (PPG).

Authors:  Bethany R Knorr-Chung; Susan P McGrath; George T Blike
Journal:  J Clin Monit Comput       Date:  2008-01-25       Impact factor: 2.502

5.  Measuring diaphragm movement and respiratory frequency using a novel ultrasound device in healthy volunteers.

Authors:  Håvard Andreassen Sæverud; Ragnhild Sørum Falk; Adam Dowrick; Morten Eriksen; Sigurd Aarrestad; Ole Henning Skjønsberg
Journal:  J Ultrasound       Date:  2019-11-06

6.  Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters.

Authors:  Marco A F Pimentel; Alistair E W Johnson; Peter H Charlton; Drew Birrenkott; Peter J Watkinson; Lionel Tarassenko; David A Clifton
Journal:  IEEE Trans Biomed Eng       Date:  2016-11-18       Impact factor: 4.538

7.  Measurement of respiratory rate from the photoplethysmogram in chest clinic patients.

Authors:  David Clifton; J Graham Douglas; Paul S Addison; James N Watson
Journal:  J Clin Monit Comput       Date:  2006-11-25       Impact factor: 1.977

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

9.  Monitoring of Heart and Breathing Rates Using Dual Cameras on a Smartphone.

Authors:  Yunyoung Nam; Youngsun Kong; Bersain Reyes; Natasa Reljin; Ki H Chon
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

Review 10.  On the analysis of fingertip photoplethysmogram signals.

Authors:  Mohamed Elgendi
Journal:  Curr Cardiol Rev       Date:  2012-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.