artículo de publicación periódica.page.titleprefix
EPOC Emotiv EEG Basics

dc.contributor.authorRamele, Rodrigo
dc.contributor.authorVillar, Ana Julia
dc.contributor.authorSantos, Juan Miguel
dc.date.accessioned2023-07-11T12:37:48Z
dc.date.available2023-07-11T12:37:48Z
dc.date.issued2022-10
dc.description.abstractThis document provides some basic guidance to start working with the EPOC Emotiv neuroheadset device and describes how to use it to perform basic Brain-Computer Interface (BCI) research. A brief tutorial on how to set up the device, from its electrophysiological point of view, as well as a description and practical code to perform some basic analysis, is explained. A basic experiment is introduced to detect one of the oldest and, indeed, quite still valuable electrophysiological correlate, visual occipital alpha waves, or Berger Rhythm. An additional experiment is expounded where the power spectrum of alpha waves is reduced when a subject is affected by background cognitive disturbances. This document also briefs about the extraction of information by using the EPOC Emotiv library and also with python Emokit package. This report presents a basic guide on how to use EEGLAB + MATLAB, as well as python stack to perform the neurophysiological analysis. Finally, a basic analysis on different feature extraction and classification methods is provided.
dc.identifier.citationRamele, R., Villar, A. J., & Santos, J. M. (2022). EPOC Emotiv EEG Basics. arXiv preprint arXiv:2206.09051.
dc.identifier.urihttps://ri.itba.edu.ar/handle/123456789/4204
dc.language.isoen
dc.subjectEPOC
dc.subjectEEG
dc.titleEPOC Emotiv EEG Basics
dc.typeArtículo de Publicación Periódica
dspace.entity.typeArtículo de Publicación Periódica
itba.description.filiationFil: Ramele, Rodrigo. Instituto Tecnologico de Buenos Aires; Argentina.
itba.description.filiationFil: Villar, Ana Julia. Instituto Tecnologico de Buenos Aires; Argentina.
itba.description.filiationFil: Santos, Juan Miguel. Instituto Tecnologico de Buenos Aires; Argentina.

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