José María Lillo Castellano


Signal Theory and Communications

Short Bio

José María Lillo Castellano received the Telecommunication Engineering degree and the MSc in Information and Communication Technology in Biomedical Engineering from the Rey Juan Carlos University (Madrid, Spain) in 2010 and 2012, respectively. Currently, he is a PhD Candidate and is working as hired researcher at the Department of Signal Theory and Communications, Telematics and Computing, Rey Juan Carlos University. His research interests include Machine Learning, Digital Image Processing, Data Analytics and their applications to Bioengineering.

Research lines

Development of data analytics techniques for supporting the clinical decision on patients with implantable cardioverter defibrillator.


Office D009. Departamental III
Universidad Rey Juan carlos
Camino del Molino s/n.
Fuenlabrada, 28943, Madrid, Spain


Selected publications

.- J.M. Lillo-Castellano, M. Marina-Breysse et al, “Safety threshold of R-wave amplitudes in patients with implantable cardioverter defibrillator” Heart, vol. 102, no. 20, pp. 1662-1670, 2016.

.- J.M. Lillo-Castellano, I. Mora-Jiménez, R. Santiago-Mozos, F. Chavarría-Asso, A. Cano-González, A. García-Alberola, and J.L. Rojo-Álvarez, “Symmetrical compression distance for arrhythmia discrimination in cloud-based big data services”, IEEE J Biomedical and Health Informatics, vol. 19, no. 4, pp. 1253–1263, 2015.

.- J.M. Lillo-Castellano et al., “Traffic Sign Segmentation and Classification using Statistical Learning Methods'', Neurocomputing, vol. 153, no. 4, pp. 286-299, 2015.

.- J.M. Lillo-Castellano et al., “Weaning Outcome Prediction from Heterogeneous Time Series using Normalized Compression Distance and Multidimensional Scaling”, Expert Systems with Applications, vol. 40, no. 5, pp. 1737-1747, 2013.