There are 14 repositories under eeg-signals-processing topic.
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
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 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.
EEG-Based Emotion Recognition
Analyze and manipulate EEG data using PyEEGLab.
A driver, parser and real time brainwave plotter for NeuroSky MindWave EEG headset
The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
A set of tools to analyze and create charts from Muse EEG devices.
Machine learning for Anonymous detection of an alcoholic by EEG signals
EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.
Detection of human emotions from eeg signals using the amigos dataset
MWF-based EEG artifact removal in MATLAB
EEG Brain-Computer Interface to play Flappy Bird and use SSVEP to communicate
Cerebral Signal's Instantaneous Parameters (Phase, Frequency & Envelope) Estimation & Analysis MATLAB Toolbox
A convolutional neural network developed in python using the Keras machine learning framework used to categorize brain signal based on what a user was looking at when the EEG data was collected.
Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin
Robust electrophysiology tools with GPU acceleration
Android app for EEG data visualization and recording with the Traumschreiber BLE device
Official implementation of "A Knowledge Distillation Framework for Enhancing Ear-EEG based Sleep Staging with Scalp-EEG Data"
It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/EEG-classification/blob/main/Experiment%20Report.pdf
EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.
This curated list highlights the latest breakthroughs in EEG and AI integration, providing a user-friendly guide for researchers, students, and hobbyists to explore advancements and applications in this exciting field.
🧠 Maguire Lab's Deep Learning Seizure Detection WebApp.