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With this Python module (based on C++ code) it is possible to create a Brain Comp. Interface (BCI) and herewith to get EEG data online and evaluate the data while receiving it. - Up to now, this tool relies on the Brain Vision Rec. as EEG software -
Brain is an Arduino Library for parsing data from Neurosky-based EEG headsets. Tested units include the Star Wars Force Trainer and Mattel MindFlex. It's designed to make it simple to send out an ASCII string of comma-separated values over serial, or to access processed brain wave information directly in your Arduino sketch. See the examples for code demonstrating each use case.
The purpose of the Programmable Chip EEG BCI project is to create a EEG that is modernized with some of the latest hardware. The Design uses lower amplification and higher bit analog to digital converters to remove the need for filtering and amplifying.
EEG-Holter - Designed for analysis of long-term EEG - Holter. Java developed, it supports medical and logbook anotations, epileptic events data, graphics and EDF files. UNIFESP 2009 - Aristides Tavares dos Santos, Prof. Dr. Carlos J R Campos.
This is a public release of a Matlab toolbox for working with data from electroencephalography (EEG/ERP) and magnetic resonance imaging (MRI). It contains functions to process and visualize ERP/MRI data and associated electrode positions.
A simple C program for GNU/Linux systems to synthesize a sound signal with binaural beats: when listened to with headphones, the distinct frequencies of the two channels interfere in the brain to produce a difference frequency in the EEG range.
BioSig is a software library for processing of biomedical signals (EEG, ECG, etc.) with Matlab, Octave, C/C++ and Python. A standalone signal viewer supporting more than 30 different data formats is also provided.
The NIDB provides storage, retrieval, and processing of neuroinformatics data. The system is mainly designed for imaging data, such as fMRI and EEG, but data of any type can be associated with a subject through all storage and analysis steps.
Using the Mean Machine, even very large EEG data sets can be analyzed (artifact detection, evoked potentials, frequency analysis, ect.). It is a Matlab GUI application, which can also be run via the command line without GUI-support.
NeuroScope is an advanced viewer for electrophysiological and behavioral data (with limited editing capabilities): it can display local field potentials (EEG), neuronal spikes, behavioral events, and the position of the animal in the environment.
Multimedia, Medicine Computing and BioInformatics --- This Project is a collection of several subprojects for Solutions in Multimedia, Medicine Computing and BioInformatics focus on video-,EEG- amp; Multichanels-signals developped in Web 20, J2EE.
Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data. It leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.