Carlos Guerrero-Mosquera is a PhD in Multimedia and Communications ( 2011, Universidad Carlos III de Madrid, Spain) and Engineer of Telecommunications. His main research interests include statistical EEG signal processing, machine learning, time-frequency analysis, detection and signal classification. He has experience like program academic director, teaching assistant, researcher and teacher in Telecommunications. His PhD thesis was based on time-frequency EEG feature extractions from epileptic patients and SVM classification. He won the Nightingale prize 2011 for the best paper in biomedical engineering, given by the Institute of Physics and Engineering in Medicine and the International Federation of Medical and Biological Engineering.
Carlos Guerrero-Mosquera is member of UR2NF since 2013 and at the present he is working with Near InfraRed Spectroscopy (NIRS) and magnetoencephalography (MEG) techniques.
- Sleep, fatigue and cerebral hyperactivation in MS disease
- Bedtime extension as an intervention to counteract the adverse effects of chronic sleep loss