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Materias / palabras clave: Computer science; Independent component analysis; Scrolling; Toolbox; Interface (matter); Artifact (error); Graphical user interface; Data mining; Plug-in; MATLAB; Artificial intelligence; Programming language

"This paper presents a supervised classification method to accurately detect epileptic brain activity in real-time from electroencephalography (EEG) data. The proposed method has three main strengths: it has low computat...

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...

This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete...

Electrophysiological impairments of alcoholism have been researched extensively. However, there is none or few reported research on screening methods for chronic alcoholic subjects. Since chronic alcoholics have serious ...

Materias / palabras clave: Nonparametric statistics; Statistical hypothesis testing; Null hypothesis; Test statistic; Computer science; Statistic; Statistical power; Null (SQL); Sensitivity (control systems); Statistics; Statistical model; Artific...

"Identify spike-and-waves patterns in epileptic signals is a typical problem in electroencephalographic (EEG) signal processing. In this paper we propose cross-correlation coupled with decision tree model as new method ...

"Error-related potential (ErrP) are a particular type of Event-Related Potential (ERP) elicited by a person attending a recognizable error. These Electroencephalographic (EEG) signals can be used to train a gaming agent ...