GUI for plotting/storing data from ProtoCentral breakouts

Shimmer3 applications for Code Composer Studio

This repository is the official PyTorch implementation of "CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction".

This is the code for EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer

EEG Emotion Datasets (INTERFACES) from OpenBCI (IEEE Sensors Journal)

You will find here the raw EEG and EMG data acquired by using the OpenBCI kit, as well as the OpenViBE scenarios and the Matlab Codes used for the protocol display and post-processing, respectively.

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension…

PyTorch implementation of EEGDfus

EEG Artifact Removal Deep Learning Techniques

Deep learning algorithms source code for beginners

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

Artifact Subspace Reconstruction for Python

Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”

Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 2024].

AssistBCI is a fork of MetaBCI for World Robot Contest/BCI Brain Controlled Robot Contest/Application Genre/MetaBCI Innovation Application Development Contest. It is a secondary development platfor…

The Python software library designed to work with OpenBCI hardware.

MetaBCI: China’s first open-source platform for non-invasive brain computer interface. The project of MetaBCI is led by Prof. Minpeng Xu from Tianjin University, China.

contains the code I used for the winning solution for the INRIA BCI challenge

Fast, simple and effective artifact removal for electroencephalography based on wavelet decomposition.

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Automagic

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Deep learning model for EEG artifact removal