Article Information
vol. 7 no. 2
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History
- Received September 19, 2020
- Accepted February 20, 2021
- Published online April 26, 2021.
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- previous version (March 18, 2021 - 06:02).
- You are viewing the most recent version of this article.
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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
- 1Dept of Anaesthesia, Critical Care, and Pain Medicine, University of Edinburgh, Edinburgh, UK
- 2Centre for Speckled Computing, School of Informatics, University of Edinburgh, Edinburgh, UK
- 3Princess Margaret Eye Pavilion, Edinburgh, UK
- 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
Funding
EPSRC-funded INHALE project
EP/T003189/1Edinburgh and Lothians Health Foundation
MRC-/AHRC-funded PHILAP project
MC_PC_MR/R024405/1NERC-/MRC-funded DAPHNE project
NE/P016340
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Vol 7 Issue 2
Table of Contents
Classifying signals from a wearable accelerometer device to measure respiratory rate
