PhD Thesis

Search for a biomarker for early diagnosis and staging of Parkinson's disease by means of Deep Learning techniques applied to electroencephalograms (EEG) of patients. For this purpose, connectivity analysis is performed by means of graph theory and GCNN type deep networks (modeling EEGs as graphs) and time series analysis by means of PLN techniques (performing a text-EEG equivalence).

    • PhD candidate:  Ana María Maitín López.
    • Directors:  Prof. Dr. D. Álvaro José Garcxía Tejedor and Prof. Dr. D. Juan Pablo Romero Muñoz.
    • Presented at: Universidad Francisco de Vitoria. En curso.

 

    • PhD candidate:  Alberto Garcés Jiménez.
    • Directors:  Prof. Dr. D. Álvaro José Garcxía Tejedor and Prof. Dr. D. Juan Pablo Romero Muñoz.
    • Presented at: Universidad de Alcalá on 25/September/2020. Sobresaliente Cum Laude and Doctorate Extraordinary Award.
    • PDF link: https://www.educacion.gob.es/teseo/mostrarRef.do?ref=458769