sunzhe839 / tensorfusion_EEG_NIRS
Python A novel multimodal approach for hybridbrain-computer interface
☆15Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for tensorfusion_EEG_NIRS
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆39Updated 2 years ago
- code for LMDA☆65Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆26Updated 11 months ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆12Updated 5 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆12Updated 2 months ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆59Updated 4 years ago
- ☆30Updated 4 years ago
- ☆41Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆57Updated 3 months ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆37Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆58Updated 7 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆120Updated 11 months ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆14Updated 3 years ago
- Python implemementation of the FBCSP algorithm☆32Updated 5 months ago
- ☆8Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆60Updated 3 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆50Updated 3 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆54Updated last year
- Tutorial for data processing for hybrid BCI☆34Updated 6 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆49Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆56Updated 2 years ago
- ☆43Updated 5 years ago
- An EEG dichotomy program file , using CSP and SVM.☆21Updated 4 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆10Updated 2 years ago
- ☆72Updated 3 years ago
- ☆55Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- ☆13Updated last year