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Classifying signals from a wearable accelerometer device to measure respiratory rate

Gordon B. Drummond, Darius Fischer, Margaret Lees, Andrew Bates, Janek Mann, D.K. Arvind
ERJ Open Research 2021 7: 00681-2020; DOI: 10.1183/23120541.00681-2020
Gordon B. Drummond
1Dept of Anaesthesia, Critical Care, and Pain Medicine, University of Edinburgh, Edinburgh, UK
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  • For correspondence: g.b.drummond@ed.ac.uk
Darius Fischer
2Centre for Speckled Computing, School of Informatics, University of Edinburgh, Edinburgh, UK
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Margaret Lees
3Princess Margaret Eye Pavilion, Edinburgh, UK
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Andrew Bates
2Centre for Speckled Computing, School of Informatics, University of Edinburgh, Edinburgh, UK
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Janek Mann
2Centre for Speckled Computing, School of Informatics, University of Edinburgh, Edinburgh, UK
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D.K. Arvind
2Centre for Speckled Computing, School of Informatics, University of Edinburgh, Edinburgh, UK
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Article Information

vol. 7 no. 2
DOI 
https://doi.org/10.1183/23120541.00681-2020

Published By 
European Respiratory Society
Online ISSN 
2312-0541
History 
  • Received September 19, 2020
  • Accepted February 20, 2021
  • Published online April 26, 2021.

Article Versions

  • previous version (March 18, 2021 - 06:02).
  • You are viewing the most recent version of this article.
Copyright & Usage 
Copyright ©The authors 2021 This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org

Author Information

  1. Gordon B. Drummond1⇑,
  2. Darius Fischer2,
  3. Margaret Lees3,
  4. Andrew Bates2,
  5. Janek Mann2 and
  6. D.K. Arvind2
  1. 1Dept of Anaesthesia, Critical Care, and Pain Medicine, University of Edinburgh, Edinburgh, UK
  2. 2Centre for Speckled Computing, School of Informatics, University of Edinburgh, Edinburgh, UK
  3. 3Princess Margaret Eye Pavilion, Edinburgh, UK
  1. Gordon B. Drummond, Dept of Anaesthesia, Critical Care, and Pain Medicine, University of Edinburgh, Edinburgh Royal Infirmary, 51 Little France Crescent, Edinburgh, EH16 4SA, UK. E-mail: g.b.drummond{at}ed.ac.uk
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Funding

  • EPSRC-funded INHALE project

    EP/T003189/1
  • Edinburgh and Lothians Health Foundation

  • MRC-/AHRC-funded PHILAP project

    MC_PC_MR/R024405/1
  • NERC-/MRC-funded DAPHNE project

    NE/P016340

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Vol 7 Issue 2 Table of Contents
ERJ Open Research: 7 (2)
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Classifying signals from a wearable accelerometer device to measure respiratory rate
Gordon B. Drummond, Darius Fischer, Margaret Lees, Andrew Bates, Janek Mann, D.K. Arvind
ERJ Open Research Apr 2021, 7 (2) 00681-2020; DOI: 10.1183/23120541.00681-2020

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Classifying signals from a wearable accelerometer device to measure respiratory rate
Gordon B. Drummond, Darius Fischer, Margaret Lees, Andrew Bates, Janek Mann, D.K. Arvind
ERJ Open Research Apr 2021, 7 (2) 00681-2020; DOI: 10.1183/23120541.00681-2020
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