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Research groups
(PPG) is influenced by the ANS activity, reason why their specific quantification and their interac- tion among the different signals, allows a non-in- vasive evaluation of the ANS status.
• Processing and characterization of biomedical signals in respiratory pathologies. The ambulato- ry diagnosis of patients suffering from sleep dis- eases is a very relevant health challenge. Solving
this challenge from easy to record biomedical sig- nals (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
LAZARO J., NAM Y., GIL E., LAGUNA P., CHON K.H. Respirato- ry rate derived from smartphone-camera-acquired pulse photoplethysmographic signals. Physiological Measure- ment. 2015;36(11):2317-2333.
VICENTE J, JOHANNESEN L, MASON JW, CRUMB WJ, PUEYO E, STOCKBRIDGE N ET AL. Comprehensive T wave morpholo- gy assessment in a randomized clinical study of dofetilide, quinidine, ranolazine, and verapamil.Journal of the Ameri- can Heart Association. 2015;4(4).
MARTíN-YEBRA A., CAIANI E.G., MONASTERIO V., PELLEGRINI A., LAGUNA P., MARTíNEZ J.P. Evaluation of T-wave alter- nans activity under stress conditions after 5 d and 21 d
Highlights
• Awarded Funding for a project from the Spanish National Research Agency, led by Prof. Raquel Bailón Luesma: “TIN2014-53567-R: Noninva- sive assessment of autonomic nervous system through the analysis of biosignals variability. Ap- plication to stress-related clinical problems.”
• Prof. Juan Pablo Martínez Cortés was invited key- note speaker at the “Atrial Signals 2015: Quantita- tive analysis and diagnostics, predictive and ther- apeutic values” Symposium, where he presented a “Review” on signal processing techniques for ablation guiding in atrial fibrillation entitled “Ad- vanced processing of intracardiac atrial signals - get more out of the data “.
• The group had hosted six researchers from oth- er research labs (3 Predoc, and 3 Postdoc). They
of sedentary head-down bed rest. Physiological Measure- ment. 2015;36(10):2041-2055.
HERNANDO D., SORNMO L., SANDBERG F., LAGUNA P., LLA- MEDO M., BAILON R. Identification of patients prone to hy- potension during hemodialysis based on the analysis of cardiovascular signals. Medical Engineering and Physics. 2015;37(12):1156-1161.
RAMIREZ J., MONASTERIO V., MINCHOLE A., LLAMEDO M., LEN- IS G., CYGANKIEWICZ I. ET AL. Automatic SVM classification of sudden cardiac death and pump failure death from au- tonomic and repolarization ECG markers. Journal of Elec- trocardiology. 2015;48(4):551-557.
have done short research stays, in periods going from 3 weeks to 6 months. These researchers come from: Lithuania, India, Italy, Greece, Germa- ny and Spain.
• During this year the group IP, Prof. Pablo Laguna, has hold the Presidency of the “Board of Director Computing in Cardiology”, see report at:
P. MacFarlane, P. Laguna, G. Krastacic (2015): “Computing in Cardiology (CinC)” A report from the 41st Annual CinC meeting in Cambridge”, MA, USA, head on 7-10 September 2014, Cardiopulse, doi:10.1093/eurheartj/ehu483, pp. 331.
• As research production the group has published a total of 12 papers and 20 conference proceed- ings, and has defended a doctoral Ph. D. thesis.
Institution: Universidad de Zaragoza · Contact: C/María de Luna, 3. Edif. Ada Bayron. Despacho 3.16. 50018 Zaragoza · Tel.: +34 876 555 651 · E.mail: [email protected] Website: http://bsicos.unizar.es
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