000079845 001__ 79845 000079845 005__ 20210820090345.0 000079845 0247_ $$2doi$$a10.1109/TBME.2019.2911351 000079845 0248_ $$2sideral$$a112730 000079845 037__ $$aART-2019-112730 000079845 041__ $$aeng 000079845 100__ $$0(orcid)0000-0002-7842-9611$$aMilagro, Javier$$uUniversidad de Zaragoza 000079845 245__ $$aElectrocardiogram-derived tidal volume during treadmill stress test 000079845 260__ $$c2019 000079845 5060_ $$aAccess copy available to the general public$$fUnrestricted 000079845 5203_ $$aObjective: Electrocardiogram (ECG) has been regarded as a source of respiratory information with the main focus in the estimation of the respiratory rate. Although little research concerning the estimation of tidal volume (TV) has been conducted, there are several ECG-derived features that have been related with TV in the literature, such as ECG-derived respiration, heart rate variability or respiratory rate. In this work, we exploited these features for estimating TV using a linear model. Methods: 25 young (33.4 ± 5.2 years) healthy male volunteers were recruited for performing a maximal (MaxT) and a submaximal (SubT) treadmill stress test, which were conducted in different days. Both tests were automatically segmented in stages attending to the heart rate. Afterwards, a subject-specific TV model was calibrated for each stage, employing features from MaxT, and the model was later used for estimating the TV in SubT. Results: During exercise, the different proposed approaches led to relative fitting errors lower than 14% in most of the cases and than 6% in some of them. Conclusion: Low achieved fitting errors suggest that TV can be estimated from ECG during a treadmill stress test. Significance: The results suggest that it is possible to estimate TV during exercise using only ECG-derived features. 000079845 536__ $$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00$$9info:eu-repo/grantAgreement/ES/MINECO/BES-2015-073694$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON$$9info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS 000079845 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000079845 590__ $$a4.424$$b2019 000079845 591__ $$aENGINEERING, BIOMEDICAL$$b14 / 87 = 0.161$$c2019$$dQ1$$eT1 000079845 592__ $$a1.41$$b2019 000079845 593__ $$aBiomedical Engineering$$c2019$$dQ1 000079845 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000079845 700__ $$0(orcid)0000-0002-1462-4880$$aHernando, David 000079845 700__ $$0(orcid)0000-0001-8742-0072$$aLázaro, Jesús$$uUniversidad de Zaragoza 000079845 700__ $$0(orcid)0000-0002-7215-6931$$aCasajús, Jose Antonio$$uUniversidad de Zaragoza 000079845 700__ $$0(orcid)0000-0001-8374-9081$$aGaratachea, Nuria$$uUniversidad de Zaragoza 000079845 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza 000079845 700__ $$0(orcid)0000-0003-1272-0550$$aBailón, Raquel$$uUniversidad de Zaragoza 000079845 7102_ $$11006$$2245$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Educación Física y Depor. 000079845 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát. 000079845 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac. 000079845 773__ $$g67, 1 (2019), 193 - 202$$pIEEE trans. biomed. eng.$$tIEEE Transactions on Biomedical Engineering$$x0018-9294 000079845 8564_ $$s1170454$$uhttps://zaguan.unizar.es/record/79845/files/texto_completo.pdf$$yPostprint 000079845 8564_ $$s142774$$uhttps://zaguan.unizar.es/record/79845/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000079845 909CO $$ooai:zaguan.unizar.es:79845$$particulos$$pdriver 000079845 951__ $$a2021-08-20-08:37:47 000079845 980__ $$aARTICLE