Pablo Laguna Lasaosa
Faculty Member
Website
http://diec.unizar.es/~laguna/personal/
Biography
Pablo Laguna is Full Professor of Signal Processing and Communications in the Department of Electrical Engineering at the Engineering School, where he has being vice-dean for international relation (1999-2002), and a researcher at the Aragón Institute for Engineering Research (I3A), both at University of Zaragoza, Spain, where he has being responsible of the Biomedical Engineering division of the I3A (2000-2011) and of the master in Biomedical Engineering (2003- 2010). He is also member, and has served as scientific director (2011-2015), of the Spanish Center for Biomedical Engineering, Biomaterial and Nano-medicine Research CIBER-BBN.
His professional research interests are in Signal Processing, in particular applied to Biomedical applications. He has co-authored more than 150 research papers on this topic, over 300 international conference papers, and has advise 15 Ph.D Thesis. He has lead a broad number of projects on biomedical signal interpretation specially in the cardiovascular domain, most of them with international collaborations at clinical and engineering sites. He is having some international scientific responsibilities, as serving as past-president of the board of directors of Computing in Cardiology conference, editor of the digital signal processing journal (Eurasip), and of the Medical and Biological Engineering and Computing (springer), organizer of different scientific conferences, etc. He is also responsible of the Ph.D. program in Biomedical Engineering at Zaragoza University. He is Fellow of the IEEE. He is, together with L. Sörnmo, the author of Bioelectrical Signal Processing in Cardiac and Neurological Applications, book (Elsevier, 2005).
2021 |
Monitoring Blood Potassium Concentration in Hemodialysis Patients by Quantifying T-wave Morphology Dynamics Artículo de revista Scientific reports, 11 (3883), 2021. |
Characterization of T Wave Amplitude, Duration and Morphology Changes During Hemodialysis: Relationship with Serum Electrolyte Levels and Heart Rate Artículo de revista IEEE Trans Biomed Eng, 2021. |
Detection and Classification of Sleep Apnea and Hypopnea using PPG and SpO2 signals Artículo de revista IEEE Transactions Biomedical Engineering, 2021. |
Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression Artículo de revista IEEE Transactions Biomedical Engineering, 2021. |
Electrocardiogram Derived Respiratory Rate Using a Wearable Armband Artículo de revista IEEE Transactions Biomedical Engineering, 2021. |
2020 |
42st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020. |
42st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020. |
Electrocardiogram Derived Respiration for Tracking Changes in Tidal Volume from a Wearable Armband Conferencia 42st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020. |
Omnipolar EGM Voltage Mapping for Atrial Fibrosis Identification Evaluated with an Electrophysiological Model Conferencia EUSIPCO, Amsterdam, Holland, 2020. |
Blunted Autonomic Reactivity to Mental Stress in Depression Quantified by Nonlinear Cardiorespiratory Coupling Indices Conferencia Proceedings of the XLVII International Conference on Computing in Cardiology, Rimini, Italy, 2020. |
2018 |
Atrial Fibrillation from an Engineering Perspective Capítulo de libro Capítulo Extraction of F waves, pp. 137-220, Springer, 2018. |
Atrial Fibrillation from an Engineering Perspective Capítulo de libro Capítulo Characterization of F waves, pp. 221-280, Springer, 2018. |
2017 |
Time-frequency analysis of cardiovascular signals and their dynamic interactions Capítulo de libro Capítulo Complexity in Cardiovascular Signals, Springer, 2017. |
2018 |
Methods and systems for measuring a stress indicator, and for determining a level of stress in an individual Patente P4175EP00, 2018. |
2016 |
A computer implemented method to identify the ventricular arrhythmogenic substrate in myocardial scar or fi brotic tissue and computer programs thereof Patente 160022224, 2016. |