Search Results for "eeg"

BioSig is a software library for processing of biomedical signals (EEG, ECG, etc.) with Matlab, Octave, C/C++ and Python. About 50 different data formats are supported.

mTRF-Toolbox is a MATLAB package for modelling multivariate stimulus-response data, suitable for neurophysiological data such as MEG, EEG, sEEG, ECoG and EMG. It can be used to model the functional relationship between neuronal populations and dynamic sensory inputs such as natural scenes and sounds, or build neural decoders for reconstructing stimulus features and developing real-time applications such as brain-computer interfaces (BCIs). Toolbox Paper: http://dx.doi.org/10.3389/fnhum.2016.00604 Methods Paper: https://doi.org/10.3389/fnins.2021.705621

VI package to read, analyze and graph EEG signals

This Ethernet sniffer was designed to work together with the medical device for EEG acquisition BrainNet36® (BNT36), from EMSA Equipamentos Médicos Ltda. BrainNet36® has 36 channels, A/D converters with 16 bit accuracy, conversion time of 10 µs and Ethernet communication interface. Being a device for clinical purposes, BrainNet36® does not export data online. This sniffer was developed to allow online processing by working in promiscuous mode and recording data in a plain text file.

Welcome to the world of social dreaming! Social dreaming is the new practice of dreamers interacting via the internet. These Python programs all use the Zeo home EEG bedside device at www.myzeo.com/sleep/shop/featured-products/zeo-sleep-manager-bedside.html, and www.sleepstreamonline.com. For an introduction to this topic, see my writings on lucid dreaming and multi-player dream games at http://books.google.com/books?id=tMSytmC089YC&lpg=PP1&pg=PA4#v=onepage&q&f=false and the IASD conference presentation at www.youtube.com/watch?...

A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.

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 -

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.

Working hardware has been built and is in a late beta stage. Software is also available.

BioEra is DSP visual designer that can be used to create interfaces between human being and a machine with using bio signals like EEG, QEEG, HEG, EMG, ECG, GSR, EOG, visual/sound entrainment and others.

This project will develop cross-platform Java software for interfacing with EEG devices, specifically hardware developed by the OpenEEG project (http://openeeg.sourceforge.net/).

pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...