EPOC Emotiv EEG Basics

This 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 descripti...

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Autores principales: Ramele, Rodrigo, Villar, Ana Julia, Santos, Juan Miguel
Formato: Artículo de publicación periódica
Lenguaje:Inglés
Publicado: 2023
Materias:
EPOC
EEG
Acceso en línea:https://ri.itba.edu.ar/handle/20.500.14769/4204
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-20.500.14769-4204
record_format dspace
spelling I32-R138-20.500.14769-42042026-01-15T15:25:21Z EPOC Emotiv EEG Basics Ramele, Rodrigo Villar, Ana Julia Santos, Juan Miguel EPOC EEG This 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. 2023-07-11T12:37:48Z 2023-07-11T12:37:48Z 2022-10 Artículo de publicación periódica Ramele, R., Villar, A. J., & Santos, J. M. (2022). EPOC Emotiv EEG Basics. arXiv preprint arXiv:2206.09051. https://ri.itba.edu.ar/handle/20.500.14769/4204 en application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic EPOC
EEG
spellingShingle EPOC
EEG
Ramele, Rodrigo
Villar, Ana Julia
Santos, Juan Miguel
EPOC Emotiv EEG Basics
topic_facet EPOC
EEG
description This 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.
format Artículo de publicación periódica
author Ramele, Rodrigo
Villar, Ana Julia
Santos, Juan Miguel
author_facet Ramele, Rodrigo
Villar, Ana Julia
Santos, Juan Miguel
author_sort Ramele, Rodrigo
title EPOC Emotiv EEG Basics
title_short EPOC Emotiv EEG Basics
title_full EPOC Emotiv EEG Basics
title_fullStr EPOC Emotiv EEG Basics
title_full_unstemmed EPOC Emotiv EEG Basics
title_sort epoc emotiv eeg basics
publishDate 2023
url https://ri.itba.edu.ar/handle/20.500.14769/4204
work_keys_str_mv AT ramelerodrigo epocemotiveegbasics
AT villaranajulia epocemotiveegbasics
AT santosjuanmiguel epocemotiveegbasics
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