Literature DB >> 21685112

Validation of a new non-invasive automatic monitor of respiratory rate for postoperative subjects.

G B Drummond1, A Bates, J Mann, D K Arvind.   

Abstract

BACKGROUND: Respiratory rate is an important measurement in patient care but frequently poorly assessed. We set out to develop a simple non-invasive device to reliably measure respiratory movements and estimate respiratory rate, in clinical circumstances.
METHODS: Respiratory movement was detected with an encapsulated tri-axial accelerometer (Orient speck) and the data transmitted wirelessly to a computer for analysis. We studied subjects after gynaecological surgery who received opioid analgesia, and compared the derived signal with a signal from nasal cannula using directly matched breaths and within the same 5 min epoch. We analysed the signals for 5 min epochs over a 15 h recording period.
RESULTS: For matched breath analysis, the instantaneous respiratory rates matched within 2 bpm on 86% of occasions. A similar match was found between epoch averages of the respiratory rate. The mean absolute difference between the respiratory rate measured by nasal cannula and Orient speck was 0.6 bpm. The Orient speck generated reliable measures of respiratory rate every 5 min in 95.4% of epochs.
CONCLUSIONS: The Orient speck provides a reliable measure of respiratory rate at frequent intervals in subjects receiving patient-controlled morphine analgesia after surgery.

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Year:  2011        PMID: 21685112     DOI: 10.1093/bja/aer153

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  8 in total

1.  Exploration of key stakeholders' preferences for pre-hospital physiologic monitoring by emergency rescue services.

Authors:  Alasdair J Mort; Gordon F Rushworth
Journal:  J Clin Monit Comput       Date:  2013-05-26       Impact factor: 2.502

2.  Lightweight physiologic sensor performance during pre-hospital care delivered by ambulance clinicians.

Authors:  Alasdair J Mort; David Fitzpatrick; Philip M J Wilson; Chris Mellish; Anne Schneider
Journal:  J Clin Monit Comput       Date:  2015-03-25       Impact factor: 2.502

3.  A novel adhesive biosensor system for detecting respiration, cardiac, and limb movement signals during sleep: validation with polysomnography.

Authors:  Elise Jortberg; Ikaro Silva; Viprali Bhatkar; Ryan S McGinnis; Ellora Sen-Gupta; Briana Morey; John A Wright; Jesus Pindado; Matt T Bianchi
Journal:  Nat Sci Sleep       Date:  2018-11-26

Review 4.  Wearable devices to monitor recovery after abdominal surgery: scoping review.

Authors:  Cameron I Wells; William Xu; James A Penfold; Celia Keane; Armen A Gharibans; Ian P Bissett; Greg O'Grady
Journal:  BJS Open       Date:  2022-03-08

5.  Performance of Contactless Respiratory Rate Monitoring by Albus HomeTM, an Automated System for Nocturnal Monitoring at Home: A Validation Study.

Authors:  William Do; Richard Russell; Christopher Wheeler; Megan Lockwood; Maarten De Vos; Ian Pavord; Mona Bafadhel
Journal:  Sensors (Basel)       Date:  2022-09-21       Impact factor: 3.847

6.  Frequent respiratory events in postoperative patients aged 60 years and above.

Authors:  Suzanne Jl Broens; Xuan He; Rachel Evley; Erik Olofsen; Marieke Niesters; Ravi P Mahajan; Albert Dahan; Monique van Velzen
Journal:  Ther Clin Risk Manag       Date:  2017-08-26       Impact factor: 2.423

7.  Influences of Sensor Placement Site and Subject Posture on Measurement of Respiratory Frequency Using Triaxial Accelerometers.

Authors:  Stephen Hughes; Haipeng Liu; Dingchang Zheng
Journal:  Front Physiol       Date:  2020-07-09       Impact factor: 4.566

8.  Classifying signals from a wearable accelerometer device to measure respiratory rate.

Authors:  Gordon B Drummond; Darius Fischer; Margaret Lees; Andrew Bates; Janek Mann; D K Arvind
Journal:  ERJ Open Res       Date:  2021-04-26
  8 in total

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