Page 62 - CIBERBBN-2015-eng

Research groups
Biomedical Signal Interpretation
& Computational Simulation
Programme: Bioengineering & Medical Image Lead Researcher: Laguna Lasaosa, Pablo
Group members
STAFF MEMBERS: Bolea Bolea, Juan Ramón | Martínez Carballo, M. Ángeles | Ramírez García, Julia. ASSOCIATED MEMBERS: Bailón Luesma, Raquel | Gil Herrando, Eduardo | Martínez Cortes, Juan Pablo |
Vergara Ugarriza, José María.
CONTRIBUTORS: Alcaine Otín, Alejandro | Borges de Almeida, Rute Alexandra | Carro Fernández, Jesús | Hernando Jumilla, David | Lazaro Plaza, Jesús | Llamedo, Mariano | Orini, Michele | Sánchez Tapia, Carlos.
Main lines of research
• Non-invasive markers based on ECG pathology characterization and arrhythmia risk identifica- tion. The main target is to search for non-invasive indices that predict malignant arrhythmic risk and, at the same time, improve 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 proce- dures guiding. (from AF, focal VT, or slow conduc- tion 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 Electro- physiology. 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 improve- ments 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 important 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
62 I Annual report 2015 I CIBER-BBN