79845 20210820090345.0 doi 10.1109/TBME.2019.2911351 sideral 112730 ART-2019-112730 eng Milagro, Javier Universidad de Zaragoza (orcid)0000-0002-7842-9611 Electrocardiogram-derived tidal volume during treadmill stress test 2019 Access copy available to the general public Unrestricted Objective: 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. 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/BES-2015-073694 info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 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 Hernando, David (orcid)0000-0002-1462-4880 Lázaro, Jesús Universidad de Zaragoza (orcid)0000-0001-8742-0072 Casajús, Jose Antonio Universidad de Zaragoza (orcid)0000-0002-7215-6931 Garatachea, Nuria Universidad de Zaragoza (orcid)0000-0001-8374-9081 Gil, Eduardo Universidad de Zaragoza (orcid)0000-0001-7285-0715 Bailón, Raquel Universidad de Zaragoza (orcid)0000-0003-1272-0550 1006 245 Universidad de Zaragoza Dpto. Fisiatría y Enfermería Área Educación Física y Depor. 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 67, 1 (2019), 193 - 202 IEEE trans. biomed. eng. IEEE Transactions on Biomedical Engineering 0018-9294 1170454 http://zaguan.unizar.es/record/79845/files/texto_completo.pdf Postprint 142774 http://zaguan.unizar.es/record/79845/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:79845 articulos driver 2021-08-20-08:37:47 ARTICLE