Literature DB >> 10396840

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

A Johansson1, P A Oberg.   

Abstract

To evaluate the possibility of respiratory-volume measurement using photoplethysmography (PPG), PPG signals from 16 normal volunteers are collected, and the respiratory-induced intensity variations (RIIV) are digitally extracted. The RIIV signals are studied while respiratory volume is varied. Furthermore, respiratory rate, body posture and type of respiration are varied. A Fleisch pneumotachograph is used as the inspired volume reference. The RIIV and pneumotachograph signals are compared, and a statistical analysis is performed (linear regression and t-tests). The key idea is that the amplitude of the RIIV signal is related to the respiratory volume. The conclusion from the measurements is that there exists a relationship between the amplitude of the RIIV signal and the respiratory volume (R = 0.842, s = 0.428, p < 0.005). Absolute measurements of the respiratory volume are not possible from the RIIV signal with the present set-up. The RIIV signal also seems to be affected by respiratory rate and type. More knowledge about respiratory parameters and improved sensor and filter design are required to make absolute measurements of volumes possible.

Mesh:

Year:  1999        PMID: 10396840     DOI: 10.1007/bf02513264

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


  15 in total

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Journal:  J Appl Physiol       Date:  1964-01       Impact factor: 3.531

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Journal:  J Appl Physiol       Date:  1974-12       Impact factor: 3.531

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Journal:  Physiol Meas       Date:  1993-05       Impact factor: 2.833

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Journal:  Br J Anaesth       Date:  1985-05       Impact factor: 9.166

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Journal:  Surgery       Date:  1966-04       Impact factor: 3.982

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Authors:  B Hök; L Wiklund; S Henneberg
Journal:  Int J Clin Monit Comput       Date:  1993-05

9.  Capnometry for continuous postoperative monitoring of nonintubated, spontaneously breathing patients.

Authors:  G Lenz; W Heipertz; E Epple
Journal:  J Clin Monit       Date:  1991-07

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Authors:  J Roy; S E McNulty; M C Torjman
Journal:  J Clin Monit       Date:  1991-07
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  22 in total

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

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.  The use of joint time frequency analysis to quantify the effect of ventilation on the pulse oximeter waveform.

Authors:  Kirk H Shelley; Aymen A Awad; Robert G Stout; David G Silverman
Journal:  J Clin Monit Comput       Date:  2006-06-01       Impact factor: 2.502

7.  Impact of withdrawal of 450 ml of blood on respiration-induced oscillations of the ear plethysmographic waveform.

Authors:  Michael J Gesquiere; Aymen A Awad; David G Silverman; Robert G Stout; Denis H Jablonka; Tyler J Silverman; Kirk H Shelley
Journal:  J Clin Monit Comput       Date:  2007-08-16       Impact factor: 2.502

8.  Monitoring of cardiovascular reactivity to cold stress using digital volume pulse characteristics in health and diabetes.

Authors:  Ashok K Jaryal; Nandakumar Selvaraj; Jayashree Santhosh; Sneh Anand; Kishore K Deepak
Journal:  J Clin Monit Comput       Date:  2009-03-24       Impact factor: 2.502

9.  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

10.  Monitoring of respiratory rate in postoperative care using a new photoplethysmographic technique.

Authors:  L Nilsson; A Johansson; S Kalman
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

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