Literature DB >> 1293445

Monitoring of respiratory and heart rates using a fibre-optic sensor.

L G Lindberg1, H Ugnell, P A Oberg.   

Abstract

A new method, which uses a fibre-optic probe to monitor respiratory and heart rates simultaneously, has been developed and evaluated. The results provide evidence that it is possible to monitor respiratory and heart rates using the reflection mode of photoplethysmography (PPG). The fibre-optic probe makes it possible to monitor from different sites on the patient, and the method is convenient to use. In addition, the probe is X-ray transparent, insensitive to electromagnetic interference (e.g. during MRI investigation) and may be made very light and small. Therefore the method is suitable for the observation of both adults and neonates, in hospitals as well as in other environments.

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Year:  1992        PMID: 1293445     DOI: 10.1007/bf02457833

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


  21 in total

1.  VOLUMETRIC DYNAMICS OF RESPIRATION AS MEASURED BY ELECTRICAL IMPEDANCE PLETHYSMOGRAPHY.

Authors:  R D ALLISON; E L HOLMES; J NYBOER
Journal:  J Appl Physiol       Date:  1964-01       Impact factor: 3.531

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Authors:  L G Lindberg; P A Oberg
Journal:  Med Biol Eng Comput       Date:  1991-01       Impact factor: 2.602

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Authors:  A A Kamal; J B Harness; G Irving; A J Mearns
Journal:  Comput Methods Programs Biomed       Date:  1989-04       Impact factor: 5.428

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Journal:  Med Res Eng       Date:  1967

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Authors:  K Konno; J Mead
Journal:  J Appl Physiol       Date:  1967-03       Impact factor: 3.531

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Authors:  J E Lewin
Journal:  Lancet       Date:  1969-09-27       Impact factor: 79.321

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Authors:  P Rolfe
Journal:  Biomed Eng       Date:  1971-09

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Journal:  J Invest Dermatol       Date:  1981-07       Impact factor: 8.551

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Journal:  Phys Med Biol       Date:  1966-01       Impact factor: 3.609

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Authors:  J Werthammer; J Krasner; J DiBenedetto; A R Stark
Journal:  Pediatrics       Date:  1983-01       Impact factor: 7.124

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  31 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.  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

3.  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

4.  Neural network for photoplethysmographic respiratory rate monitoring.

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

5.  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 6.  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

7.  Non-invasive measurement of systolic blood pressure on the arm utilising photoplethysmography: development of the methodology.

Authors:  C Laurent; B Jönsson; M Vegfors; L G Lindberg
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

8.  An algorithm for the detection of individual breaths from the pulse oximeter waveform.

Authors:  Paul Leonard; Neil R Grubb; Paul S Addison; David Clifton; James N Watson
Journal:  J Clin Monit Comput       Date:  2004-12       Impact factor: 2.502

9.  Unconstrained cardiorespiratory and body movement monitoring system for home care.

Authors:  K Niizeki; I Nishidate; K Uchida; M Kuwahara
Journal:  Med Biol Eng Comput       Date:  2005-11       Impact factor: 2.602

10.  A computational system to optimise noise rejection in photoplethysmography signals during motion or poor perfusion states.

Authors:  Jong Yong A Foo; Stephen J Wilson
Journal:  Med Biol Eng Comput       Date:  2006-03       Impact factor: 2.602

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