  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 and MATLAB, as well as python stack
to perform the neurophysiological analysis. Finally, a basic analysis on
different feature extraction and classification methods is provided.
