Electrocardiogram-derived tidal volume during treadmill stress test

Milagro, Javier (Universidad de Zaragoza) ; Hernando, David ; Lázaro, Jesús (Universidad de Zaragoza) ; Casajús, Jose Antonio (Universidad de Zaragoza) ; Garatachea, Nuria (Universidad de Zaragoza) ; Gil, Eduardo (Universidad de Zaragoza) ; Bailón, Raquel (Universidad de Zaragoza)
Electrocardiogram-derived tidal volume during treadmill stress test
Financiación H2020 / H2020 Funds
Resumen: 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.
Idioma: Inglés
DOI: 10.1109/TBME.2019.2911351
Año: 2019
Publicado en: IEEE Transactions on Biomedical Engineering 67, 1 (2019), 193 - 202
ISSN: 0018-9294

Factor impacto JCR: 4.424 (2019)
Categ. JCR: ENGINEERING, BIOMEDICAL rank: 14 / 87 = 0.161 (2019) - Q1 - T1
Factor impacto SCIMAGO: 1.41 - Biomedical Engineering (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS
Financiación: info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON
Financiación: info:eu-repo/grantAgreement/ES/MINECO/BES-2015-073694
Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Educación Física y Depor. (Dpto. Fisiatría y Enfermería)
Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)

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