Literature DB >> 22185462

Photoplethysmographic derivation of respiratory rate: a review of relevant physiology.

D J Meredith1, D Clifton, P Charlton, J Brooks, C W Pugh, L Tarassenko.   

Abstract

An abnormal respiratory rate is often the earliest sign of critical illness. A reliable estimate of respiratory rate is vital in the application of remote telemonitoring systems, which may facilitate early supported discharge from hospital or prompt recognition of physiological deterioration in high-risk patient groups. Traditional approaches use analysis of respiratory sinus arrhythmia from the electrocardiogram (ECG), but this phenomenon is predominantly limited to the young and healthy. Analysis of the photoplethysmogram (PPG) waveform offers an alternative means of non-invasive respiratory rate monitoring, but further development is required to enable reliable estimates. This review conceptualizes the challenge by discussing the effect of respiration on the PPG waveform and the key physiological mechanisms that underpin the derivation of respiratory rate from the PPG.
Copyright © 2012 Informa UK, Ltd.

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Year:  2011        PMID: 22185462     DOI: 10.3109/03091902.2011.638965

Source DB:  PubMed          Journal:  J Med Eng Technol        ISSN: 0309-1902


  33 in total

1.  Investigation of peripheral photoplethysmographic morphology changes induced during a hand-elevation study.

Authors:  Michelle Hickey; Justin P Phillips; Panayiotis A Kyriacou
Journal:  J Clin Monit Comput       Date:  2015-08-29       Impact factor: 2.502

2.  Body-monitoring with photonic textiles: a reflective heartbeat sensor based on polymer optical fibres.

Authors:  Brit M Quandt; Fabian Braun; Damien Ferrario; René M Rossi; Anke Scheel-Sailer; Martin Wolf; Gian-Luca Bona; Rudolf Hufenus; Lukas J Scherer; Luciano F Boesel
Journal:  J R Soc Interface       Date:  2017-03       Impact factor: 4.118

3.  Automated analysis of breathing waveforms using BreathMetrics: a respiratory signal processing toolbox.

Authors:  Torben Noto; Guangyu Zhou; Stephan Schuele; Jessica Templer; Christina Zelano
Journal:  Chem Senses       Date:  2018-09-22       Impact factor: 3.160

Review 4.  Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severity.

Authors:  Diego R Mazzotti; Diane C Lim; Kate Sutherland; Lia Bittencourt; Jesse W Mindel; Ulysses Magalang; Allan I Pack; Philip de Chazal; Thomas Penzel
Journal:  Physiol Meas       Date:  2018-09-13       Impact factor: 2.833

Review 5.  Sensors Capabilities, Performance, and Use of Consumer Sleep Technology.

Authors:  Massimiliano de Zambotti; Nicola Cellini; Luca Menghini; Michela Sarlo; Fiona C Baker
Journal:  Sleep Med Clin       Date:  2020-01-03

6.  A New Wearable System for Home Sleep Apnea Testing, Screening, and Classification.

Authors:  Alessandro Manoni; Federico Loreti; Valeria Radicioni; Daniela Pellegrino; Luigi Della Torre; Alessandro Gumiero; Damian Halicki; Paolo Palange; Fernanda Irrera
Journal:  Sensors (Basel)       Date:  2020-12-08       Impact factor: 3.576

7.  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

8.  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

9.  Cross time-frequency analysis for combining information of several sources: application to estimation of spontaneous respiratory rate from photoplethysmography.

Authors:  M D Peláez-Coca; M Orini; J Lázaro; R Bailón; E Gil
Journal:  Comput Math Methods Med       Date:  2013-12-01       Impact factor: 2.238

10.  Estimating respiratory and heart rates from the correntropy spectral density of the photoplethysmogram.

Authors:  Ainara Garde; Walter Karlen; J Mark Ansermino; Guy A Dumont
Journal:  PLoS One       Date:  2014-01-22       Impact factor: 3.240

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