000086500 001__ 86500 000086500 005__ 20210820090345.0 000086500 0247_ $$2doi$$a10.1109/TBME.2019.2923587 000086500 0248_ $$2sideral$$a112046 000086500 037__ $$aART-2019-112046 000086500 041__ $$aeng 000086500 100__ $$0(orcid)0000-0002-1297-0691$$aKontaxis, Spyridon$$uUniversidad de Zaragoza 000086500 245__ $$aECG-derived respiratory rate in atrial fibrillation 000086500 260__ $$c2019 000086500 5060_ $$aAccess copy available to the general public$$fUnrestricted 000086500 5203_ $$aObjective: 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. 000086500 536__ $$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON$$9info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS 000086500 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000086500 590__ $$a4.424$$b2019 000086500 591__ $$aENGINEERING, BIOMEDICAL$$b14 / 87 = 0.161$$c2019$$dQ1$$eT1 000086500 592__ $$a1.41$$b2019 000086500 593__ $$aBiomedical Engineering$$c2019$$dQ1 000086500 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000086500 700__ $$0(orcid)0000-0001-8742-0072$$aLázaro Plaza, Jesús$$uUniversidad de Zaragoza 000086500 700__ $$aCorino, Valentina 000086500 700__ $$aSandberg, Frida 000086500 700__ $$0(orcid)0000-0003-1272-0550$$aBailón Luesma, Raquel$$uUniversidad de Zaragoza 000086500 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna Lasaosa, Pablo$$uUniversidad de Zaragoza 000086500 700__ $$aSörnmo, Leif 000086500 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac. 000086500 773__ $$g67, 3 (2019), 905-914$$pIEEE trans. biomed. eng.$$tIEEE Transactions on Biomedical Engineering$$x0018-9294 000086500 8564_ $$s1282786$$uhttps://zaguan.unizar.es/record/86500/files/texto_completo.pdf$$yPostprint 000086500 8564_ $$s151609$$uhttps://zaguan.unizar.es/record/86500/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000086500 909CO $$ooai:zaguan.unizar.es:86500$$particulos$$pdriver 000086500 951__ $$a2021-08-20-08:37:26 000086500 980__ $$aARTICLE