Scientific publications


These are some of the scientific publications of our team. These projects have a real impact on the world and show advances in research in the field of cardiology and machine learning, published in journals such as Heart, European Heart Journal, Circulation, Europace and others.

2021 - A complete and low-cost cardiac optical mapping system in translational animal models

2020 - Personalised monitoring of electrical remodelling during atrial fibrillation progression via remote transmissions from implantable devices

2019 - Bicuspid aortic valve behaviour in elite athletes

2019 - Three-dimensional cardiac fibre fibre disorganization as a novel parameter for ventricular arrhythmia stratification after myocardial infarction

2019 - Implications of bipolar voltage mapping and magnetic resonance imaging resolution in biventricular scar characterization after myocardial infarction

2018 - Ventricular fibrillation undersensing to calculate a safety threshold for baseline rhythm R-wave amplitudes

2018 - Classifying cardiac arrhythmic episodes via data compression

2018 - Early prognostic value of an algorithm based on spectral variables of ventricular fibrillation from the EKG of patients with sudden cardiac death: A multicentre observational study (AWAKE)

2017 - QRS duration reflects underlying changes in conduction velocity during increased intraventricular pressure and heart failure

2017 - Fetal heart rate analysis for automatic detection of perinatal hypoxia using normalized compression distance and machine learning

2017 - Single coronary artery presenting as acute myocardial infarction

2016 - Safety threshold of R-wave amplitudes in patients with implantable cardioverter defibrillator

2016 - Reference values of aortic root in male and female white elite athletes according to sport

2016 - Transcatheter aortic valve implantation: the importance of an experienced multidisciplinary team

2016 - Endoscopic ultrasound for the detection of left atrial appendage thrombus: A useful technique in patients with transesophageal echocardiography contraindication

2015 - Symmetrical compression distance for arrhythmia discrimination in cloud-based big-data services

2015 - Traffic sign sign segmentation and classification using statistical learning methods

2013 - Weaning outcome prediction from heterogeneous time series using normalized compression distance and multidimensional scaling

And more than 120 communications to national and international congresses.