EEG Processing Interface for Educational Applications

Luis F. Ordoñez-Ordoñez, Ámbar I. Sánchez Valarezo, Efren L. Lema Condo, Freddy L. Bueno Palomeque

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva


The acquisition, processing and analysis of brain signals play an essential role in the detection and diagnosis of mental disorders and brain abnormalities. The evaluation of signals recorded by electroencephalograms (EEG) currently benefits from a variety of computational tools, whose understanding and correct handling are essential. This article presents the development of a graphical interface in Matlab, designed for academic students, which allows them to effectively verify and validate the progress of their educational practices, approaching biosignal analysis in a more practical and understandable way. It enables the import of data from five different hardware devices (Emotiv EPOC, gNautilus, Biopac, iWorx and MADQ) and consists of two blocks dedicated to preprocessing and processing. Through its intuitive interface, it facilitates the execution of experiments and the understanding of underlying concepts in numerical analysis, thus providing users with an effective tool to expand their knowledge and skills in this area.

Idioma originalInglés
Título de la publicación alojadaECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting
EditoresDavid Rivas Lalaleo, Manuel Ignacio Ayala Chauvin
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350338232
EstadoPublicada - 2023
Evento7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023 - Ambato, Ecuador
Duración: 10 oct. 202313 oct. 2023

Serie de la publicación

NombreECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting


Conferencia7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023

Nota bibliográfica

Publisher Copyright:
© 2023 IEEE.


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