DL4mHealth / EF-Net
[Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN
☆19Updated 9 months ago
Alternatives and similar repositories for EF-Net:
Users that are interested in EF-Net are comparing it to the libraries listed below
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆12Updated 3 years ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆18Updated 4 years ago
- code for LMDA☆77Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆42Updated 2 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆19Updated 11 months ago
- Preprocessing and feature extraction (slopes, moving slopes, Kurtosis, skewness, mean and variance) codes in MATLAB for analyzing fNIRS (…☆10Updated 7 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆64Updated last week
- 运动想象分类模型---ATCNet，源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆24Updated 2 years ago
- ☆32Updated 9 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 6 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆36Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- ☆74Updated 4 months ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆68Updated 7 months ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆37Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆110Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆123Updated last year
- EEG Motor Imagery with Deep Learning☆13Updated 3 years ago
- 使用的pytorch编写的eegnet代码，方便现在进行调试☆21Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆66Updated 4 years ago
- DDGCNN for ssvep☆13Updated last year
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- ☆16Updated last year
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆33Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 3 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆56Updated 3 months ago
- CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification☆19Updated 9 months ago