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.


To validate technically and clinically novel methods to understand, and give support to tremor diagnosis.
Agencia Estatal de Investigación

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.

Digital transformation of clinical practice by using patient-specific cardiac digital twins for risk prediction and therapy optimization

Construction of patient-specific digital twins of the human heart by statistical and mechanistic in silico modeling, fed with extensive clinical data collected and processed digitally
Agencia Estatal de Investigación

Customised DNA-based nanocarriers to boost heart healing

DNABEATS aims to bring advanced materials to regenerate injured myocardium.
Agencia Estatal de Investigación

Extracting the Human Motor Null Space from Muscles - A new framework to measure human neural activity

ECHOES will capitalize on recent breakthroughs in decoding the spinal outputs to muscles to develop a theoretical and experimental framework to unveil the 'motor null space' in human muscles.
Horizonte Europa , ERC

multI-discipliNary, multi-Sectoral and multi-national trainIng network on Digital biomarkErs for supraventricular arrHythmia charactErizAtion and Risk assessmenT

Establishing a multi-disciplinary network to tackle the design and the early-phase validation of digital biomarkers, specifically targeting the diagnosis of supraventricular arrhythmias (SVAs) and their associated potential for adverse risk assessment, via the joint combination of signal processing, artificial intelligence and non-clinical devices.
Horizonte Europa , MSCA

ECG morphology clusters for sudden cardiac death risk stratification in coronary artery disease using genetics and human-based computational models

Integrate the information from the genetic architecture of the distinct ECG morphological clusters to understand the mechanisms underlying SCD risk.
Ministerio de Ciencia e Innovación y cofinanciado por la Unión Europea (FEDER)