000063103 001__ 63103
000063103 005__ 20181123104100.0
000063103 0247_ $$2doi$$a10.1109/CIC.2015.7408573
000063103 0248_ $$2sideral$$a94676
000063103 037__ $$aART-2016-94676
000063103 041__ $$aeng
000063103 100__ $$aLyon, A.
000063103 245__ $$aExtraction of morphological QRS-based biomarkers in hypertrophic cardiomyopathy for risk stratification using L1 regularized logistic regression
000063103 260__ $$c2016
000063103 5060_ $$aAccess copy available to the general public$$fUnrestricted
000063103 5203_ $$aHypertrophic cardiomyopathy (HCM) is an inherited cardiac disease characterized by an unexplained thickening of the heart ventricles. It is the first cause of sudden cardiac death in young adults. No reliable biomarkers for risk assessment have been presented so far, but the electrocardiograms of HCM patients are often abnormal due to structural and electrical abnormalities. The goal of our study was to extract morphological QRS biomarkers in order to discriminate between HCM patients and control patients by analyzing fifty 12-lead Holter recordings (29 HCM - 21 control). Morphological features such as QRS width or slopes from the QRS complex directly and the coefficients of the first four Hermite transform basis were extracted. Classification was then performed using those features in an L1 regularized logistic regression algorithm. Classification between control and HCM patients reached 95.7% of accuracy (sensitivity of 94.96% for HCM and specificity of 96.90%) using only two main features: the percentage of negative regions of the QRS complex with respect to the isoelectric level and the 3rd coefficient of its Hermite fitting showing interesting connections to cardiac electrophysiology.
000063103 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TEC2013-44666-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R
000063103 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000063103 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000063103 700__ $$aMincholé, A.
000063103 700__ $$aAriga, R.
000063103 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000063103 700__ $$aNeubauer, S.
000063103 700__ $$aWatkins, H.
000063103 700__ $$aFreitas, N. de
000063103 700__ $$aRodríguez, B.
000063103 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000063103 773__ $$g42 (2016), 9-12$$pComput. cardiol.$$tComputing in Cardiology$$x2325-8861
000063103 8564_ $$s308555$$uhttps://zaguan.unizar.es/record/63103/files/texto_completo.pdf$$yVersión publicada
000063103 8564_ $$s8427$$uhttps://zaguan.unizar.es/record/63103/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000063103 909CO $$ooai:zaguan.unizar.es:63103$$particulos$$pdriver
000063103 951__ $$a2018-11-23-10:32:51
000063103 980__ $$aARTICLE