EEG Processing Interface for Educational Applications

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.