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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.
A key goal for NEMO is the development of a formal logic (“ontology”) to support data sharing, logic-based queries and mapping/integration of patterns across data from different labs, different experiment paradigms, and different modalities (EEG/MEG)
The MATLAB software toolbox for MEG and EEG analysis
FieldTrip is the Matlab toolbox for EEG and MEG data. It includes algorithms for simple and advanced analysis, such as importing, preprocessing, time-frequency analysis, source reconstruction, statistical testing and connectivity analysis.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
SigViewer is a viewer for biosignals such as EEG, EMG, and ECG. SigViewer supports various file formats. Besides viewing biosignals, SigViewer can also create annotations (event markers).
Library to acquire data from various EEG recording devices
eegdev is a library that provides a unified interface for accessing an EEG recording system (the development targets mainly Biosemi and g.Tec system) and can be used as well to playback data in the software stack. In addition, it helps the implemention of new drivers by sharing part of code common to all drivers.
A collection of compact, powerful programs and functions, written in C, for the analysis and transformation of data. No object or structure dependencies, no fancy interfaces - just good tools.
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.
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A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.
FreeBrain will be an application for the analysis of 2D neurophysiological signals, like heart-rate, EEG or eyemovements. It is aimed at those who want intuitive or free software and those who want a customizeble tool that can handle mixed datasets.
Large set of functions for biological records (ECG, EEG, phono), datastore, datamining and analysis (HRV, QT, RR, ST). The application is written in Java, so that it is assumed to work on all devices. It runs as a desktop or client-server application. It
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.
Obsolete project - archived at
https://github.com/darrenleeweber/bioelectromagnetism
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.
This project will develop cross-platform Java software for interfacing with EEG devices, specifically hardware developed by the OpenEEG project (http://openeeg.sourceforge.net/).