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RESEARCH GROUPS
Biomedical Signal Interpretation
& Computational Simulation
Programme: Bioengineering and Medical Imaging
Lead Researcher: Laguna Lasaosa, Pablo Group Members
STAFF MEMBERS: Bolea Bolea, Juan Ramón | Pérez Magallón, Begoña | Pueyo Paules, Esther | Ramírez García, Julia | Sampedro Puente, David Adolfo
ASSOCIATED MEMBERS: Bailón Luesma, Raquel | Gil Herrando, Eduardo | Martínez Cortés, Juan Pablo | Vergara Ugarriza, José Ma
CONTRIBUTORS: Alcaine Otín, Alejandro | Borges de Almeida, Rute Alexandra | Carro Fernández, Jesús | Hernando Jumilla, David | Lázaro Plaza, Jesús | Llamedo, Mariano | Orini, Michele | Sánchez Tapia, Carlos
Main lines of research
• Non-invasive markers based on ECG pathology characterization and arrhythmia risk identification . The main target is to search for non-invasive indices that predict malignant arrhythmic risk and, at the same time, im- prove the personalized treatment decision, like the implantation of ICD .
• Intra-cavitary electrogram signal processing (EGM) to improve surgery planning and therapy delivery . The main target is the ablation procedures guiding (from AF, focal VT, or slow conduction channel at ventricles) based on information derived from EGM recorded during intervention, so to obtain successful procedures with minimal collateral damage at cardiac tissue .
• Modeling and Simulation of Cardiac Electrophysiology . The electrophysiological bases of atrial and ventricular arrhythmia are still largely unknown . A strategy is proposed to better dig into the knowledge of these bases by multi-scale computational modeling, so allowing improvements in the design of drugs targeting specific ion channel, and better characterizations of the information underlying the ECG and EGM signals through more robust markers .
• Evaluation and non-invasive quantification of the autonomic nervous system (ANS) . The ANS has a very im- portant regulatory role in situations such as physiologic (exercise, stress, emotions . . .) as well as pathologic (cardiovascular and mental disorders, obstructive sleep apnea, etc .) . The variability present on signal as heart rate (HRV) , blood pressure (BPV) or photopletismography (PPG) is influenced by the ANS activity, reason why their specific quantification and their interaction among the different signals, allows a non-invasive evaluation of the ANS status .
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CIBER-BBN » Annual report 2014