JaeyoungShin / hybrid-BCILinks
Tutorial for data processing for hybrid BCI
☆40Updated 7 years ago
Alternatives and similar repositories for hybrid-BCI
Users that are interested in hybrid-BCI are comparing it to the libraries listed below
Sorting:
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆19Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆135Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆272Updated 5 months ago
- code for LMDA☆84Updated 2 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆44Updated last year
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆23Updated last year
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆73Updated last year
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆150Updated last year
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆181Updated 3 months ago
- ☆36Updated 5 years ago
- ☆83Updated 3 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆204Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- Preprocessing and feature extraction (slopes, moving slopes, Kurtosis, skewness, mean and variance) codes in MATLAB for analyzing fNIRS (…☆10Updated 7 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆76Updated last year
- ☆70Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆22Updated 2 months ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆326Updated 6 years ago
- CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification☆24Updated last year
- Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed b…☆133Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆165Updated 5 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆152Updated 2 years ago
- DDGCNN for ssvep☆15Updated last year
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago