The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Multiparameter Respiratory Rate Estimation From the Photoplethysmogram
Abstract
We present a novel method for estimating respiratory rate in real time from the photoplethysmogram (PPG) obtained from pulse oximetry. Three respiratory-induced variations (frequency, intensity, and amplitude) are extracted from the PPG using the Incremental-Merge Segmentation algorithm. Frequency content of each respiratory-induced variation is analyzed using fast Fourier transforms. The proposed Smart Fusion method then combines the results of the three respiratory-induced variations using a transparent mean calculation. It automatically eliminates estimations considered to be unreliable because of detected presence of artifacts in the PPG or disagreement between the different individual respiratory rate estimations. The algorithm has been tested on data obtained from 29 children and 13 adults. Results show that it is important to combine the three respiratory-induced variations for robust estimation of respiratory rate. The Smart Fusion showed trends of improved estimation (mean root mean square error 3.0 breaths/min) compared to the individual estimation methods (5.8, 6.2, and 3.9 breaths/min). The Smart Fusion algorithm is being implemented in a mobile phone pulse oximeter device to facilitate the diagnosis of severe childhood pneumonia in remote areas.
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Cites
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Estimation of Respiratory Rate From Photoplethysmogram Data Using Time–Frequency Spectral Estimation
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Cited by
Ghamari, M. (2018) · International Journal of Biosensors & Bioelectronics · doi:10.15406/ijbsbe.2018.04.00125 · Cited by 945
Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review
Charlton, P. H., Birrenkott, D. A., Bonnici, T., Pimentel, M. A. F., Johnson, A. E. W., Alastruey, J., Tarassenko, L., Watkinson, P. J., Beale, R., & Clifton, D. A. (2018) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2017.2763681 · Cited by 379
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Advances in Photopletysmography Signal Analysis for Biomedical Applications
Moraes, J. L., Rocha, M. X., Vasconcelos, G. G., Vasconcelos Filho, J. E., De Albuquerque, V. H. C., & Alexandria, A. R. (2018) · Sensors · doi:10.3390/s18061894 · Cited by 292
Metadata
- Authors
- Karlen, W., Raman, S., Ansermino, J. M., & Dumont, G. A.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2013-07
- Volume
- 60
- Issue
- 7
- Pages
- 1946-1953
- ISSN
- 0018-9294 (ISSN-L)
- 1558-2531
- OpenAlex
- W2124106073
- Cited by
- 485
- References
- 28
- FWCI
- 9.74
- Type
- journal article
- Language
- en
- Open access
- closed
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