ECG-Derived Respiratory Rate in Atrial Fibrillation
(2020) In IEEE Transactions on Biomedical Engineering 67(3). p.905-914- Abstract
- Objective: The present study addresses the problem of estimating the respiratory rate from the mor- phological ECG variations in the presence of atrial fibrilla- tory waves (f-waves). The significance of performing f-wave suppression before respiratory rate estimation is investi- gated. Methods: The performance of a novel approach to ECG-derived respiration, named “slope range” (SR) and de- signed particularly for operation in atrial fibrillation (AF), is compared to that of two well-known methods based on ei- ther R-wave angle (RA) or QRS loop rotation angle (LA). A novel rule is proposed for spectral peak selection in respira- tory rate estimation. The suppression of f-waves is accom- plished using signal- and noise-dependent QRS... (More)
- Objective: The present study addresses the problem of estimating the respiratory rate from the mor- phological ECG variations in the presence of atrial fibrilla- tory waves (f-waves). The significance of performing f-wave suppression before respiratory rate estimation is investi- gated. Methods: The performance of a novel approach to ECG-derived respiration, named “slope range” (SR) and de- signed particularly for operation in atrial fibrillation (AF), is compared to that of two well-known methods based on ei- ther R-wave angle (RA) or QRS loop rotation angle (LA). A novel rule is proposed for spectral peak selection in respira- tory rate estimation. The suppression of f-waves is accom- plished using signal- and noise-dependent QRS weighted averaging. The performance evaluation embraces real as well as simulated ECG signals acquired from patients with persistent AF; the estimation error of the respiratory rate is determined for both types of signals. Results: Using real ECG signals and reference respiratory signals, rate estima- tion without f-wave suppression resulted in a median error of 0.015 ± 0.021 Hz and 0.019 ± 0.025 Hz for SR and RA, respectively, whereas LA with f-wave suppression resulted in 0.034 ± 0.039 Hz. Using simulated signals, the results also demonstrate that f-wave suppression is superfluous for SR and RA, whereas it is essential for LA. Conclusion: The results show that SR offers the best performance as well as computational simplicity since f-wave suppression is not needed. Significance: The respiratory rate can be robustly estimated from the ECG in the presence of AF. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/9c86f6c3-7e58-4b5c-a3aa-0c063a183eec
- author
- Lázaro, Jesús ; Kontaxis, Spyridon ; Corino, Valentina ; Sandberg, Frida LU ; Bailón, Raquel ; Laguna, Pablo and Sörnmo, Leif LU
- organization
- publishing date
- 2020-02-19
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Respiratory rate, ECG-derived respiration, Atrial fibrillation, f-wave suppression
- in
- IEEE Transactions on Biomedical Engineering
- volume
- 67
- issue
- 3
- pages
- 10 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85078843484
- pmid:31226064
- ISSN
- 1558-2531
- DOI
- 10.1109/TBME.2019.2923587
- language
- English
- LU publication?
- yes
- id
- 9c86f6c3-7e58-4b5c-a3aa-0c063a183eec
- date added to LUP
- 2020-05-25 09:40:36
- date last changed
- 2022-04-18 22:22:40
@article{9c86f6c3-7e58-4b5c-a3aa-0c063a183eec, abstract = {{Objective: The present study addresses the problem of estimating the respiratory rate from the mor- phological ECG variations in the presence of atrial fibrilla- tory waves (f-waves). The significance of performing f-wave suppression before respiratory rate estimation is investi- gated. Methods: The performance of a novel approach to ECG-derived respiration, named “slope range” (SR) and de- signed particularly for operation in atrial fibrillation (AF), is compared to that of two well-known methods based on ei- ther R-wave angle (RA) or QRS loop rotation angle (LA). A novel rule is proposed for spectral peak selection in respira- tory rate estimation. The suppression of f-waves is accom- plished using signal- and noise-dependent QRS weighted averaging. The performance evaluation embraces real as well as simulated ECG signals acquired from patients with persistent AF; the estimation error of the respiratory rate is determined for both types of signals. Results: Using real ECG signals and reference respiratory signals, rate estima- tion without f-wave suppression resulted in a median error of 0.015 ± 0.021 Hz and 0.019 ± 0.025 Hz for SR and RA, respectively, whereas LA with f-wave suppression resulted in 0.034 ± 0.039 Hz. Using simulated signals, the results also demonstrate that f-wave suppression is superfluous for SR and RA, whereas it is essential for LA. Conclusion: The results show that SR offers the best performance as well as computational simplicity since f-wave suppression is not needed. Significance: The respiratory rate can be robustly estimated from the ECG in the presence of AF.}}, author = {{Lázaro, Jesús and Kontaxis, Spyridon and Corino, Valentina and Sandberg, Frida and Bailón, Raquel and Laguna, Pablo and Sörnmo, Leif}}, issn = {{1558-2531}}, keywords = {{Respiratory rate; ECG-derived respiration; Atrial fibrillation; f-wave suppression}}, language = {{eng}}, month = {{02}}, number = {{3}}, pages = {{905--914}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Biomedical Engineering}}, title = {{ECG-Derived Respiratory Rate in Atrial Fibrillation}}, url = {{http://dx.doi.org/10.1109/TBME.2019.2923587}}, doi = {{10.1109/TBME.2019.2923587}}, volume = {{67}}, year = {{2020}}, }