000061571 001__ 61571 000061571 005__ 20181123104108.0 000061571 0248_ $$2sideral$$a98585 000061571 037__ $$aART-2016-98585 000061571 041__ $$aeng 000061571 100__ $$0(orcid)0000-0003-4130-5866$$aRamirez, J.$$uUniversidad de Zaragoza 000061571 245__ $$aAn index for T-wave pointwise amplitude variability quantification 000061571 260__ $$c2016 000061571 5060_ $$aAccess copy available to the general public$$fUnrestricted 000061571 5203_ $$aThe comparison between the pointwise amplitude of different T-waves provides insight into ventricular repolarization liability. However, T-wave pointwise amplitude variability can be confounded by time-domain variability. We, first, compared two algorithms for removing (warping) time-domain variability, one using the original and another one using a transformed T-wave (SRSF). We, next, compared the robustness against noise of two markers, dy and da, of pointwise amplitude variability, after warping the underlying temporal variability with the preferred warping algorithm. dy was obtained from the transformed T-waves while da was proposed in this work and was derived from the original T-waves. We, finally, used the most robust marker to measure the T-wave pointwise amplitude variability between every T-wave recorded during a Tilt test and their mean T-wave. Results showed that the preferred warping algorithm was the SRSF because it is not affected by differences between the amplitudes of the original T-waves. In addition, the marker da presented lower relative error values than dy for every level of noise. The analysis of electrocardiogram records showed that da was significantly lower during the tilt than in supine position (5.5 % vs 6.5 %, p<0.01). In conclusion, da robustly quantifies physiological variabilities of the T-wave amplitude, showing its potential to be used as an arrhythmic risk predictor in future clinical situations. 000061571 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T96$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-41998-R 000061571 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000061571 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000061571 700__ $$aOrini, M. 000061571 700__ $$aDerek Tucker, J. 000061571 700__ $$0(orcid)0000-0002-1960-407X$$aPueyo, E.$$uUniversidad de Zaragoza 000061571 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, P.$$uUniversidad de Zaragoza 000061571 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac. 000061571 773__ $$g43 (2016), 49-52$$pComput. cardiol.$$tComputing in Cardiology$$x2325-8861 000061571 85641 $$uhttp://ieeexplore.ieee.org/document/7868676/$$zTexto completo de la revista 000061571 8564_ $$s265374$$uhttps://zaguan.unizar.es/record/61571/files/texto_completo.pdf$$yVersión publicada 000061571 8564_ $$s115553$$uhttps://zaguan.unizar.es/record/61571/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000061571 909CO $$ooai:zaguan.unizar.es:61571$$particulos$$pdriver 000061571 951__ $$a2018-11-23-10:33:23 000061571 980__ $$aARTICLE