Modeling and simulation of cardiac electrophysiology

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.

Investigator in charge

Esther Pueyo Paules

Call: +34 976 76 2963

Email: epueyo@unizar.es

Finished Projects

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

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

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.

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.

Singular equipment

Not available

Graphic material for the website

3D atrial image from the paper ‘Ionic modulation of atrial fibrillation dynamics in a human 3D atrial model’ by C. Sánchez, M. Krueger, G. Seeman, O. Dössel, B. Rodríguez, E. Pueyo, presented at the Computing in Cardiology conference, 2012.

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