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Research line

Processing of intracardiac electrogram (EGM) signals acquired by implantable cardioverter-defibrilator (ICDs) or in the catheterization laboratory:

  1. Investigation of atrial arrhythmias: atrial activation and manifestations on electrogram (EGM) and electrocardiogram (ECG) signals.
  2. Investigation of new methods for guiding atrial fibrillation ablation, using regularity, synchronization and propagation information extracted from EGM signals.
  3. Signal processing to assist the finding of ectopic foci during ventricular ablation
  4. Automatic activation detection for cardiac mapping.
  5. Analysis of repolarization alternans in intracardiac electrograms.
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Investigator in charge

Juan Pablo Martínez Cortés

Juan Pablo Martínez Cortés

Pablo Laguna Lasaosa

Pablo Laguna Lasaosa

Technologies and targeting sectors

  • Technology 1

Software for EGM signal processing including activation detection/delineation and computation of indices of organization, synchronization and delays.

Targeting sector: Biomedical engineering companies

Projects

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

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

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

MY-ATRIA: MultidisciplinarY training network for ATrial fibRillation monItoring, treAtment and progression

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)

Multimodal biomedical signal processing for the analysis and characterization of cardiovascular, respiratory and autonomic deseases

Physiology-driven signal analysis for guiding cardiac arrhythmia management and therapy – PID2019-104881RB-I00