000063118 001__ 63118
000063118 005__ 20181123104107.0
000063118 0247_ $$2doi$$a10.22489/CinC.2016.115-151
000063118 0248_ $$2sideral$$a98560
000063118 037__ $$aART-2016-98560
000063118 041__ $$aeng
000063118 100__ $$aNoriega, Maikel
000063118 245__ $$aInstantaneous respiratory rate estimation from multilead ECG delineation using VCG directions on fiducial points
000063118 260__ $$c2016
000063118 5060_ $$aAccess copy available to the general public$$fUnrestricted
000063118 5203_ $$aThe main purpose of this work is the estimation of the respiratory rate (¿rR) from the electrocardiogram (ECG). In this study, the tr was estimated from the same Fit directions of maximum projection (FD) used for multi lead ECG automatic delineation (ML). A previously developed and validated methodology for boundaries location was extended to include wave peaks and estimate FD. The median of power spectral density obtained over the directions based on QRS complex main peak, T wave peak and end spatial loops was used for tr estimation. In a control database, the proposed method yielded more accurate tr estimates (mean absolute error (MAE), 2.64 bpm, SD=3.92)than the estimates based on the single-lead ECG R-peak amplitude (MAE values from 3.29 to 5.26 bpm, SD > 5) and RR series (2.89 to 3.66 bpm, SD >4.6), close to results from EDR method (2.89 bpm, SD=3.63).
000063118 536__ $$9info:eu-repo/grantAgreement/ES/FEDER/UID/MAT/00144/2013$$9info:eu-repo/grantAgreement/ES/MINECO/TEC2013-42140-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R
000063118 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000063118 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000063118 700__ $$aCarcases, Enni
000063118 700__ $$aDuran, K.
000063118 700__ $$aMaranon, Enrique Juan
000063118 700__ $$0(orcid)0000-0002-7503-3339$$aMartinez, Juan Pablo$$uUniversidad de Zaragoza
000063118 700__ $$0(orcid)0000-0001-7755-5002$$aAlmeida, Rute
000063118 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000063118 773__ $$g43 (2016), [4 pp.]$$pComput. cardiol.$$tComputing in Cardiology$$x2325-8861
000063118 85641 $$uhttp://www.cinc.org/archives/2016/pdf/115-151.pdf$$zTexto completo de la revista
000063118 8564_ $$s286765$$uhttps://zaguan.unizar.es/record/63118/files/texto_completo.pdf$$yVersión publicada
000063118 8564_ $$s110687$$uhttps://zaguan.unizar.es/record/63118/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000063118 909CO $$ooai:zaguan.unizar.es:63118$$particulos$$pdriver
000063118 951__ $$a2018-11-23-10:33:20
000063118 980__ $$aARTICLE