Biomedical Signal Interpretation and Computational Simulation
foto_grupo 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.


The objective of this Project is to model the psychophysiological response of subjects exposed to hyperbaric environments, identifying the physiological parameters that better characterize this response. This will allow, in the near future, an early identification of dysfunctional psychophysiological states that can be risky for the health of the subjects.

By developing biological ventricular assist devices (BioVADs), BRAV3 will bring a quantum leap in regenerative medicine and its translation towards the clinic, as well as impact the development of novel medical technologies whilst greatly advancing our knowledge on human heart development.

Is your heart aging well? A systems biology approach to characterize cardiac aging from the cell to the body surface

Knowing the aging rhythms of the heart and developing patterns that help prevent arrhythmias are some of the objectives of the Modelage project, led by Esther Pueyo, a researcher at the BSICoS group.
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MultidisciplinarY training network for ATrial fibRillation monItoring, treAtment and progression

The main scope of MY-ATRIA is to establish a multidisciplinary network able to develop research and training “without walls” among academic, industrial and clinical entities in the area of cardiac, atrial disease
European Commission

The project is expected to make major scientific contributions to depression monitoring, to the characterization and interpretation of ANS from the joint analysis of physiological signals, and to daily-life ANS monitoring.

In this project, several of the main technological challenges in relation to these arrhythmias are addressed

Remote Assessment of Disease and Relapse in Central Nervous System Disorders

The project aims to develop new ways of monitoring major depressive disorder, epilepsy, and multiple sclerosis using wearable devices and smartphone technology.

This project aims at providing a comprehensive characterization of cardiac changes induced by the mentioned highly prevalent CVDs as well as by physiological aging and non-cardiac diseases/conditions associated with increased cardiovascular risk.

Completed projects (since 2020)