Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

ECG-Derived Respiratory Rate in Atrial Fibrillation

Lázaro, Jesús ; Kontaxis, Spyridon ; Corino, Valentina ; Sandberg, Frida LU ; Bailón, Raquel ; Laguna, Pablo and Sörnmo, Leif LU (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:
author
; ; ; ; ; and
organization
publishing date
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}},
}