86500 20210820090345.0 doi 10.1109/TBME.2019.2923587 sideral 112046 ART-2019-112046 eng Kontaxis, Spyridon Universidad de Zaragoza (orcid)0000-0002-1297-0691 ECG-derived respiratory rate in atrial fibrillation 2019 Access copy available to the general public Unrestricted Objective: The present study addresses the problem of estimating the respiratory rate from the morphological ECG variations in the presence of atrial fibrillatory waves (f-waves). The significance of performing f-wave suppression before respiratory rate estimation is investigated. Methods: The performance of a novel approach to ECG-derived respiration, named “slope range” (SR) and designed particularly for operation in atrial fibrillation (AF), is compared to that of two well-known methods based on either R-wave angle (RA) or QRS loop rotation angle (LA). A novel rule is proposed for spectral peak selection in respiratory rate estimation. The suppression of f-waves is accomplished 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 estimation 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. info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 4.424 2019 ENGINEERING, BIOMEDICAL 14 / 87 = 0.161 2019 Q1 T1 1.41 2019 Biomedical Engineering 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Lázaro Plaza, Jesús Universidad de Zaragoza (orcid)0000-0001-8742-0072 Corino, Valentina Sandberg, Frida Bailón Luesma, Raquel Universidad de Zaragoza (orcid)0000-0003-1272-0550 Laguna Lasaosa, Pablo Universidad de Zaragoza (orcid)0000-0003-3434-9254 Sörnmo, Leif 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 67, 3 (2019), 905-914 IEEE trans. biomed. eng. IEEE Transactions on Biomedical Engineering 0018-9294 1282786 http://zaguan.unizar.es/record/86500/files/texto_completo.pdf Postprint 151609 http://zaguan.unizar.es/record/86500/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:86500 articulos driver 2021-08-20-08:37:26 ARTICLE