Page 94 - MemoriaBBN-Eng

RESEARCH GROUPS

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PROGRAMME:
Communication Technologies Group,

Bioengineering í
and Medical Imaging
Instituto de Investigación en Ingeniería de Aragón

Group Members
Lead Researcher

Laguna Lasaosa, Pablo
íSTAFF MEMBERS
Martn Yebra, Alba

Monasterio Bazan, Violeta
Contact:
Pueyo Paules, Esther
Escuela de Ingeniera y Arquitectura-EINA.
Ramrez Garca, Julia
Universidad de Zaragoza. Centro Politécnico Superior. Romero Prez, Daniel
C/ Mara de Luna, 3, Ed, Ada Byron, 50018 Zaragoza.

E.mail: [email protected] ASSOCIATED MEMBERS
http://diec.unizar.es/~laguna/personal/publicaciones/publicaciones.htm
Bailn Luesma, Raquel

Gil Herrando, Eduardo
Martnez Cortes, Juan Pablo
Main lines of research
Vergara, Jos Mara

CONTRIBUTORS
• Non-invasive markers based on ECG pathology characterization and ar-

Alcaine Otn, Alejandro rhythmia risk identification. The main target is the search for non-invasive
Bolea Bolea, Juan Ramon indices for personalized malignant arrhythmia risk prediction, and to im-

Borges de Almeida, Rute A. prove the decision making process, like at defibrillation implantation.
Carro Fernndez, Jess
• Intra-cavitary electrogram signal processing (EGM) to improve surgery
Hernando Jumilla, David planning and therapy delivery. The main target is the ablation procedures 13
Lazaro Plaza, Jess 20
guiding. (From FA, focal VT, or slow conduction channel at ventricles) T
Llamedo, Mariano based on information derived from EGM recorded during intervention, so R
PO
Orini, Michele to obtain successful procedures with minimal collateral damage at cardiac E
Snchez Tapia, Carlos tissue.
L R
A
Simn Vadillo, Fernando
• Modeling and Simulation of Cardiac Electrophysiology. The electrophysio- NU
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logical bases of atrial and ventricular arrhythmia are still largely unknown. A
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It is propose a strategy to better dig into the knowledge of these bases by BN
multi-scale computational modeling, so allowing drug design support for B
R-
specific channel targeted drugs, and to improve the underlying information BE
extraction from the ECG and EGM, by proposing specific biomarkers form CI

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this multi-scale knowledge.