eeg-signals-processing

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

Variational mode decomposition (VMD) in Python

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

A Python library for signal decomposition algorithms

An R package for processing and plotting of electroencephalography (EEG) data

Empirical wavelet transform (EWT) in Python

A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).

A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.

Analyze and manipulate EEG data using PyEEGLab.

EEG-Based Emotion Recognition

A driver, parser and real time brainwave plotter for NeuroSky MindWave EEG headset

JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning

A set of tools to analyze and create charts from Muse EEG devices.

An open source tool for large-scale EEG datasets processing

EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)

Machine learning for Anonymous detection of an alcoholic by EEG signals