Jesús Lázaro Plaza
Faculty Member
Website
https://drlazaro.wordpress.com/
Biography
Jesús Lázaro received the M.Sc. degree in Telecommunication Engineering, and the Master’s degree in Biomedical Engineering (BME), from the University of Zaragoza (UNIZAR) (Zaragoza, Spain) in 2011 and 2012, respectively. Then, he developed his Ph.D. in the same university, in the field of biomedical signal processing for quantification of cardiovascular and respiratory systems. During his Ph.D, he visited the Worcester Polytechnic Institute (Worcester, MA, USA) for 3 months. He obtained the Ph.D degree with honor mentions “Cum Laude” and “International Doctor” from UNIZAR in July 2015.
His postdoctoral training began at Aragon Institute of Engineering Research (I3A) of UNIZAR (July 2015 – December 2016), where he worked as Junior Postdoctoral Researcher in different applications of the methods that he developed during his Ph.D. Then, he joined the Department of Electrical Engineering of KU Leuven, Leuven, Belgium, where he worked as a Postdoctoral Researcher (January 2017 – October 2017) in biomedical signal processing in different scenarios, including wearable devices. He was granted with a European Union’s H2020 Marie Skłodowska-Curie actions (MSCA) Individual Fellowship – Global Fellowship, for developing a project entitled “Wearable Cardiorespiratory Monitor (WECARMON)” whose objective was to develop a wearable device for monitoring patients with different cardiorespiratory diseases. This project included a 24-months phase at University of Connecticut (UCONN) (Storrs CT, USA) followed by a 12-months phase at UNIZAR. Thus, he joined the Department of BME of UCONN (October 2017 – November 2019), and subsequently he joined the I3A of UNIZAR (November 2019 – December 2020).
Since then, he has been an Assistant Professor (Profesor Ayudante Doctor) at the Department of Computer Science and Systems Engineering of UNIZAR, and a researcher at the I3A. His current research interests include the development of signal processing techniques for diagnosing and/or monitoring cardiorespiratory patients, aiming to a more personalized treatment and an improved prognosis, with its both social and economic advantages.
Publications
2022
Artículos de revista
A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia Artículo de revista
En: Biosensors, 12(2) (82), 2022.
Impact of the PPG sampling rate in the pulse rate variability indices evaluating several fiducial points in different pulse waveforms Artículo de revista
En: IEEE Journal of Biomedical and Health Informatics, 2022.
Acute stress state classification based on electrodermal activity modeling Artículo de revista
En: IEEE Transactions on Affective Computing, 2022.
2021
Artículos de revista
Feasibility of atrial fibrillation detection from a novel wearable armband device Artículo de revista
En: Cardiovascular Digital Health Journal, 2 (3), pp. 179-191, 2021.
Cardiopulmonary Coupling Indices to Assess Weaning Readiness from Mechanical Ventilation Artículo de revista
En: Scientific Reports, 11:16014 , 2021.
Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression Artículo de revista
En: IEEE Transactions Biomedical Engineering, 68 (4), pp. 1273-1281, 2021.
Electrocardiogram Derived Respiratory Rate Using a Wearable Armband Artículo de revista
En: IEEE Transactions Biomedical Engineering, 68 (3), pp. 1056-1065, 2021.
Conferencias
The Added Value of Nonlinear Cardiorespiratory Coupling Indices in the Assessment of Depression Conferencia
43st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.
