000106725 001__ 106725
000106725 005__ 20210827115915.0
000106725 0247_ $$2doi$$a10.1109/EMBC44109.2020.9175486
000106725 0248_ $$2sideral$$a120316
000106725 037__ $$aART-2020-120316
000106725 041__ $$aeng
000106725 100__ $$0(orcid)0000-0001-8742-0072$$aLazaro, Jesús$$uUniversidad de Zaragoza
000106725 245__ $$aElectrocardiogram Derived Respiration for Tracking Changes in Tidal Volume from a Wearable Armband
000106725 260__ $$c2020
000106725 5060_ $$aAccess copy available to the general public$$fUnrestricted
000106725 5203_ $$aA pilot study on tracking changes in tidal volume (TV) using ECG signals acquired by a wearable armband is presented. The wearable armband provides three ECG channels by using three pairs of dry electrodes, resulting in a device that is convenient for long-term daily monitoring. An additional ECG channel was derived by computing the first principal component of the three original channels (by means of principal component analysis). Armband and spirometer signals were simultaneously recorded from five healthy subjects who were instructed to breathe with varying TV. Three electrocardiogram derived respiration (EDR) methods based on QRS complex morphology were studied: the QRS slopes range (SR), the R-wave angle (), and the R-S amplitude (RS). The peak-to-peak amplitudes of these EDR signals were estimated as surrogates for TV, and their correlations with the reference TV (estimated from the spirometer signal) were computed. In addition, a multiple linear regression model was calculated for each subject, using the peak-to-peak amplitudes from the three EDR methods from the four ECG channels. Obtained correlations between TV and EDR peak-to-peak amplitude ranged from 0.0448 up to 0.8491. For every subject, a moderate correlation (>0.5) was obtained for at least one EDR method. Furthermore, the correlations obtained for the subject-specific multiple linear regression model ranged from 0.8234 up to 0.9154, and the goodness of fit was 0.73±0.07 (median ± standard deviation). These results suggest that the peak-to-peak amplitudes of the EDR methods are linearly related to the TV. opening the possibility of estimating TV directly from an armband ECG device.Clinical Relevance - This opens the door to possible continuous monitoring of TV from the armband by using EDR.
000106725 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T96-BSICoS$$9info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON$$9info:eu-repo/grantAgreement/ES/ISCIII/CIBER-BBN
000106725 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000106725 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000106725 700__ $$aReljin, N.
000106725 700__ $$0(orcid)0000-0003-1272-0550$$aBailón, Raquel$$uUniversidad de Zaragoza
000106725 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza
000106725 700__ $$aNoh, Y.
000106725 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000106725 700__ $$aChon, K.H.
000106725 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000106725 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000106725 773__ $$g2020-July (2020), 596-599$$pConf. proc. (IEEE Eng. Med. Biol. Soc., Conf.)$$tConference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.)$$x1557-170X
000106725 8564_ $$s379641$$uhttps://zaguan.unizar.es/record/106725/files/texto_completo.pdf$$yPostprint
000106725 8564_ $$s3469026$$uhttps://zaguan.unizar.es/record/106725/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000106725 909CO $$ooai:zaguan.unizar.es:106725$$particulos$$pdriver
000106725 951__ $$a2021-08-27-09:55:26
000106725 980__ $$aARTICLE