Journal article
Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review
- Abstract:
-
Breathing rate (BR) is a key physiological parameter used in a range of clinical settings. Despite its diagnostic and prognostic value, it is still widely measured by counting breaths manually. A plethora of algorithms have been proposed to estimate BR from the electrocardiogram (ECG) and pulse oximetry (photoplethysmogram, PPG) signals. These BR algorithms provide opportunity for automated, electronic, and unobtrusive measurement of BR in both healthcare and fitness monitoring. This paper pr...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
Rhodes Trust
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Royal Academy of Engineering
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National Institute for Health Research
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Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- IEEE Reviews in Biomedical Engineering Journal website
- Volume:
- 11
- Pages:
- 2-20
- Publication date:
- 2017-10-24
- Acceptance date:
- 2017-09-15
- DOI:
- EISSN:
-
1941-1189
- ISSN:
-
1937-3333
Item Description
- Keywords:
- Pubs id:
-
pubs:730231
- UUID:
-
uuid:8b7b2dbd-8d47-4fc6-8106-4c5ac2c3bdef
- Local pid:
- pubs:730231
- Source identifiers:
-
730231
- Deposit date:
- 2017-09-22
Terms of use
- Copyright holder:
- Charlton et al
- Copyright date:
- 2017
- Notes:
- This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/.
- Licence:
- CC Attribution (CC BY)
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