BSICoS

Biomedical Signal Interpretation and Computational Simulation
foto_grupo BSICoS

El grupo Biomedical Signal Interpretation and Computational Simulation  (BSICoS) centra su actividad en el procesamiento, interpretación y simulación computacional de señales biomédicas.

El principal objetivo del grupo es el desarrollo de métodos de procesamiento de señales biomédicas, impulsados por la fisiología, para la interpretación personalizada (diagnóstico, pronóstico y terapia) de las condiciones de los sistemas nervioso cardiovascular, respiratorio y autónomo y sus interacciones.

El objetivo es mejorar el impacto de las TIC en la salud y comprender mejor el funcionamiento de los sistemas biológicos que se pueden observar a través de señales no invasivas. Para ello es clave trabajar con equipos clínicos y grupos de investigación que combinen las experiencias de las dos áreas, dirijan la investigación para resolver problemas clínicos relevantes y faciliten la transferencia de resultados a la práctica clínica.

Proyectos

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.
BRAVE

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.
MINECO

In this project, we adress several of the main technological challenges in relation to some of the most prevalent arrhythmias: non-invasive identification and monitoring of the individual risk of SCD, improving the non-invasive characterization of AF from the ECG or the characterization of the role of the autonomic nervous system in arrhythmogenesis of both VT/VF and AF

Personalised in Silico Cardiology

Advances in computational and simulation technologies now provide us with unparalleled capacity to analyse clinical data in-silico, rendering the vision of an early detection of disease through model-based diagnostic biomarkers, and the design of personalised therapies through predictive models
European Commission

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.
IMI

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.

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.

Proyectos finalizados (desde el 2020)

No hay proyectos a mostrar.