000088475 001__ 88475
000088475 005__ 20210902121631.0
000088475 0247_ $$2doi$$a10.1038/s41598-020-62624-5
000088475 0248_ $$2sideral$$a117125
000088475 037__ $$aART-2020-117125
000088475 041__ $$aeng
000088475 100__ $$aVaron, Carolina
000088475 245__ $$aA comparative study of ECG-derived respiration in ambulatory monitoring using the single-lead ECG
000088475 260__ $$c2020
000088475 5060_ $$aAccess copy available to the general public$$fUnrestricted
000088475 5203_ $$aCardiorespiratory monitoring is crucial for the diagnosis and management of multiple conditions such as stress and sleep disorders. Therefore, the development of ambulatory systems providing continuous, comfortable, and inexpensive means for monitoring represents an important research topic. Several techniques have been proposed in the literature to derive respiratory information from the ECG signal. Ten methods to compute single-lead ECG-derived respiration (EDR) were compared under multiple conditions, including different recording systems, baseline wander, normal and abnormal breathing patterns, changes in breathing rate, noise, and artifacts. Respiratory rates, wave morphology, and cardiorespiratory information were derived from the ECG and compared to those extracted from a reference respiratory signal. Three datasets were considered for analysis, involving a total 59 482 one-min, single-lead ECG segments recorded from 156 subjects. The results indicate that the methods based on QRS slopes outperform the other methods. This result is particularly interesting since simplicity is crucial for the development of ECG-based ambulatory systems.
000088475 536__ $$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75458-R
000088475 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000088475 590__ $$a4.379$$b2020
000088475 591__ $$aMULTIDISCIPLINARY SCIENCES$$b17 / 73 = 0.233$$c2020$$dQ1$$eT1
000088475 592__ $$a1.24$$b2020
000088475 593__ $$aMultidisciplinary$$c2020$$dQ1
000088475 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000088475 700__ $$aMorales, John
000088475 700__ $$0(orcid)0000-0001-8742-0072$$aLázaro, Jesús$$uUniversidad de Zaragoza
000088475 700__ $$aOrini, Michele
000088475 700__ $$aDeviaene, Margot
000088475 700__ $$0(orcid)0000-0002-1297-0691$$aKontaxis, Spyridon$$uUniversidad de Zaragoza
000088475 700__ $$aTestelmans, Dries
000088475 700__ $$aBuyse, Bertien
000088475 700__ $$aBorzée, Pascal
000088475 700__ $$aSörnmo, Leif
000088475 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000088475 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza
000088475 700__ $$0(orcid)0000-0003-1272-0550$$aBailón, Raquel$$uUniversidad de Zaragoza
000088475 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000088475 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000088475 773__ $$g10 (2020), 5704 [14 pp.]$$pSci. rep.$$tScientific Reports$$x2045-2322
000088475 8564_ $$s2304539$$uhttps://zaguan.unizar.es/record/88475/files/texto_completo.pdf$$yVersión publicada
000088475 8564_ $$s280689$$uhttps://zaguan.unizar.es/record/88475/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000088475 909CO $$ooai:zaguan.unizar.es:88475$$particulos$$pdriver
000088475 951__ $$a2021-09-02-08:53:23
000088475 980__ $$aARTICLE