cardiac-pulse
by

Research line

Modeling and simulation of cardiac electrical activity in healthy and diseased hearts, including:

  1. Investigation of atrial arrhythmias: atrial activation and manifestations on electrogram (EGM) and electrocardiogram (ECG) signals
  2. Investigation of ventricular arrhythmias: mechanisms underlying the onset of reentrant arrhythmias and assessment of pro-arrhythmic risk based on ECG biomarkers
  3. Dynamic modeling of myocardial ischemia
  4. Stochastic modeling of ionic current fluctuations in ventricular cells: contribution to temporal and spatial repolarization variability.
cardiac-pulse

Investigator in charge

Ana Mincholé Lapuente

Ana Mincholé Lapuente

Esther Pueyo Paules

Esther Pueyo Paules

Technologies and targeting sectors

  • Technology 1

Computational modeling and simulation tools to predict cardio-toxicity of drug compounds. Targeting sector: Pharmaceutical companies

  • Technology 2

Markers for guiding the development of new agents to treat atrial fibrillation. Targeting sector: Pharmaceutical companies

Patents and technology transfer

  • Case 1

Technology transfer agreement with Pfizer pharmaceutical company to improve currently used methods for identification of cardio-toxic drug compounds during the development process.

  • Case 2

Technology transfer agreement with AstraZeneca pharmaceutical company to help in the design and screening of new multi-channel action anti-atrial fibrillation drugs.

Projects

Clinically-guided data processing methods and in silico models to improve patient stratification and therapy response in cardiac and neurological disorders: PID2022-140556OB-I00

Clinically-guided data processing methods and in silico models to improve patient stratification and therapy response in cardiac and neurological disorders: PID2022-140556OB-I00

Multi-disciplinary, multi-sectoral and multi-national training network on digital biomarkers for supraventricular arrhythmia characterization and risk assessment. 101119941 (Call HORIZON-MSCA-2022-DN-01)

Multi-disciplinary, multi-sectoral and multi-national training network on digital biomarkers for supraventricular arrhythmia characterization and risk assessment. 101119941 (Call HORIZON-MSCA-2022-DN-01)

Digital transformation of clinical practice by using patient-specific cardiac digital twins for risk prediction and therapy optimization (DIGICARDIO) – TED2021-130459B-I00

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

ECG morphology clusters for sudden cardiac death risk stratification in coronary artery disease using genetics and human-based computational models (STRATEGIC) – PID2021-128972OA-I00

Advanced multifunction 3D biofabrication for the generation of computationally modelled human-scale therapeutic cardiac tissues – CARDIOPRINT

Advanced multifunction 3D biofabrication for the generation of computationally modelled human-scale therapeutic cardiac tissues – CARDIOPRINT

Computational biomechanics and bioengineering 3D printing to develop a personalized regenerative biological ventricular assist devide to provide lasting functional support to damaged hearts – BRAV3

Computational biomechanics and bioengineering 3D printing to develop a personalized regenerative biological ventricular assist devide to provide lasting functional support to damaged hearts – BRAV3

Finished Projects

Scientific Network Observatory for the Study and Prevention of Sudden Death in Sport (PREMUBID)

Equipment for the chronic electro-mechanical stimulation of cell and tissue cultures that allows their maintenance under biomimetic conditions. Force transducer and controller to program duration and amplitude of mechanical stretch

From the brain to the heart: applications of dynamic systems analysis in biological models

Research Network in Epidemiology and Prevention of Cardiovascular Risk in Sports

Spanish Research Network in Cardiac Computational Modeling

Fighting atrial fibrillation by acting on the signals that reach the heart from the nervous system

Biomarkers for Early Detection of Atrial Fibrillation Phase in Strenuous Exercise-Induced Atrial Cardiomyopathy: Prevention of Pafiyama Syndrome

Human cardiac ageing modeling and identification of age related electrophysiological markers

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

Multi-Scale Physiology-Driven Computational Tools To Assist In The Assessment And Management Of Cardiac Dysfunctions (MScPhCarDys)

Multiscale computational tools to improve diagnosis, risk assessment and treatment in prevalent heart diseases (MULTITOOLS2HEART)

Equipment for Dual Optical Mapping of Transmembrane Potential and Calcium Transient

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)

Computational investigation of cardiac arrhythmias and drug effect: from ion channels to the surface electrocardiogram

Electrocardiographic indices for myocardial ischemia diagnosis. Correlation between cellular mechanisms and manifestations on the surface electrical signal.

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

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

Confocal microscope with high performance Light Sheet based system and toxicity assessment platform