What is BSICoS?

The Biomedical Signal Interpretation and Computational Simulation (BSICoS) group focuses its activity on the processing, interpretation and Computer Simulation of biomedical signals.

The main objective of the group is the development of methods for biomedical signal processing, driven by the physiology, for personalized interpretation (diagnosis, prognosis and therapy) of the conditions of the cardiovascular, respiratory and autonomic nervous systems and their interactions.

The goal is to improve the impact of ICTs in health and further understanding the functioning of biological systems that can be observed through noninvasive signals. Key to this is working with clinical teams and research groups that combine the experiences of the two areas, direct research to solve relevant clinical problems and facilitate the transfer of results to clinical practice.

Imagen de una placa eléctrica

Research Lines

Modeling and simulation of cardiac electrophysiology
ECG markers for arrhythmia risk identification
Processing of intracardiac EGM signals
Non-invasive parametrization of autonomic nervous system
Biomedical signal processing and characterization for respiratory pathologies
Experimental characterization and in-vitro modeling of cardiac aging
Long-term monitoring using wearable devices
brain computer
Neural interfaces with the central nervous system to study movement


Julia Ramírez presented her latest work on Sudden Cardiac Death at the ESC Congress

Julia Ramírez presented her latest work on Sudden Cardiac Death at the ESC Congress

Julia Ramírez, BSiCoS group researcher, participated in the Congress of the European Society of Cardiology. She was invited to present her latest work on Sudden Cardiac Death (SCD) prediction using a new index, TMV, derived from a single heartbeat from a single lead on the electrocardiogram (ECG) signal. Her talk was part of the "Late-Breaking Basic and Translational Science" session, where Julia showed her results demonstrating that TMV is the only ECG marker measured at rest that associates with malignant ventricular arrhythmias in ~52,000 middle-aged individuals without heart disease from…

Read more
Back to top