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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.
• Processing and characterization of biomedical signals in respiratory pathologies. The ambulatory diagnosis of patients suffering from sleep diseases is a very relevant health challenge. Solving this challenge from easy to record biomedical signals (ECG, PPG) will represent a huge advance. We
target the characterization of these signal changes following respiratory patterns changes, as deep of respiration, frequency, the obstructive or central apnea occurrence and their relation to cardiovascular disorders.
Most relevant scientific articles
• Laguna P., Martínez Cortés J.P., Pueyo E. Techniques for Ventricular Repolarization Instability Assessment from the ECG. Proceedings of the IEEE. 2016;104(2):392-415.
• Baumert M., Porta A., Vos M.A., Malik M., Couderc J.-P., Laguna P. et al. QT interval variability in body surface ECG: Measurement, physiological basis, and clinical value: Position statement and consensus guidance endorsed by the European Heart Rhythm Association jointly with the ESC Working Group on Cardiac Cellular Electrophysiology. Europace. 2016;18(6):925-944.
• Pueyo E., Orini M., Rodríguez J.F., Taggart P. Interactive effect of beta-adrenergic stimulation and mechanical stretch on low-frequency oscillations of ventricular action potential duration in humans. Journal of Molecular and Cellular Cardiology. 2016;97:93-105.
• Hernando A., Lázaro J., Gil E., Arza A., Garzón J.M., López-Antón R. et al. Inclusion of Respiratory Frequency Information in Heart Rate Variability Analysis for Stress Assessment. IEEE Journal of Biomedical and Health Informatics. 2016;20(4):1016-1025.
• Bolea J., Pueyo E., Orini M., Bailón R. Influence of heart rate in non-linear HRV indices as a sampling rate effect evaluated on supine and standing. Frontiers in Physiology. 2016;7(NOV).
Highlights
• Awarded Funding for a project from the Spanish National Research Agency, led by Profs. Juan Pablo Martinez y Esther Pueyo: “DPI2016-75458-R: Multi-scale physiology-driven computational tools to assist in the assessment and management of cardiac dysfunctions”.
• Prof. Pablo Laguna was invited keynote speaker at the “2016 IEEE Statistical Signal Processing Workshop” Symposium, where he presented a KetyNote Talk entitle “Review” on signal processing techniques for ablation guiding in atrial fibrillation entitled “Physiologically driven, model-based, multi- modal biomedical signal processing approaches”.
• The group had hosted four researchers from other research labs (2 Predoc, and 2 Postdoc). They have done short research stays, in periods going from 2 weeks to 3 months. These researchers come from: 1 Portugal, 1 Argentina, 1 Italy and 1 Spain.
• It has been incorporate into the group a senior researcher, Laura Ordovás, by the competitive international program call ARAID, supported by Gobierno de Aragón.
• During this year the group IP, Prof. Pablo Laguna, has hold the Presidency of the “Board of Director Computing in Cardiology
• As research production, the group has published a total of 15 papers and 16 conference proceedings (in one case obtaining the young investigator award and in other being finalist), and has defended two doctoral Ph. D. thesis.
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