All Industry Modeling and simulation Non-invasive ECG indices Intracardiac EGM Autonomic nervous system Respiratory system In-vitro modeling Wearable devices Neural interfaces Genetics of cardiovascular risk Physical activity for the prediction and prevention of cardiac risk: EXP_75053 Efficacy, safety and mechanisms of new techniques for cardiac stimulation in patients with pacemakers: from computational research to clinical practice – LMP94_21 Digital transformation of clinical practice by using patient-specific cardiac digital twins for risk prediction and therapy optimization (DIGICARDIO) – TED2021-130459B-I00 ECG morphology clusters for sudden cardiac death risk stratification in coronary artery disease using genetics and human-based computational models (STRATEGIC) – PID2021-128972OA-I00 Consulting services for basic physiologic features Towards improved management of cardiovascular diseases by integrative in silico-in vitro-in vivo research into hearts structure, function and autonomic regulation – PID2019-105674RB-I00 Physiology-driven signal analysis for guiding cardiac arrhythmia management and therapy – PID2019-104881RB-I00 Finished Scientific Network Observatory for the Study and Prevention of Sudden Death in Sport (PREMUBID) Biomarkers for Early Detection of Atrial Fibrillation Phase in Strenuous Exercise-Induced Atrial Cardiomyopathy: Prevention of Pafiyama Syndrome PIC: Personalised in Silico Cardiology MY-ATRIA: MultidisciplinarY training network for ATrial fibRillation monItoring, treAtment and progression Detection of K+ concentration alterations from the ECG Validation of pulse rate variability, respiratory frequency and stress assessment from NIVAband WECARMON: Wearable Cardiorespiratory Monitor Multi-Scale Physiology-Driven Computational Tools To Assist In The Assessment And Management Of Cardiac Dysfunctions (MScPhCarDys) Biomedical Engineering and Medical Physics (BioMep) Multiscale computational tools to improve diagnosis, risk assessment and treatment in prevalent heart diseases (MULTITOOLS2HEART) Multimodal analysis and m-Health tools for diagnostic and monitoring improving of Obstructive Lung Disease and Obstructive Sleep Apnea patients (M-LODOSA) ERC Starting Grant. Is your heart aging well? A systems biology approach to characterize cardiac aging from the cell to the body surface (MODELAGE) The Autonomous Nervous System as a modulator of cardiac function: comprehensive investigation through signal processing and computational modeling Physiology-guided signal processing for cardiac risk stratification and therapy-guided: tools to improve decision-making in cardiac management Computer-assisted interpretation of electrical signals: a step forward in understanding and treating cardiac diseases (INTERCARDIO) QT-bed: Evaluation of changes in ventricular repolarization and its relationship with heart rate during bed-rest experiments Computational investigation of cardiac arrhythmias and drug effect: from ion channels to the surface electrocardiogram Multimodal biomedical signal processing for the analysis and characterization of cardiovascular, respiratory and autonomic deseases
