wzhlearning / fNIRS-Transformer
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
☆65Updated 2 months ago
Alternatives and similar repositories for fNIRS-Transformer:
Users that are interested in fNIRS-Transformer are comparing it to the libraries listed below
- Preprocessing and feature extraction (slopes, moving slopes, Kurtosis, skewness, mean and variance) codes in MATLAB for analyzing fNIRS (…☆10Updated 7 years ago
- code for LMDA☆76Updated last year
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆19Updated 9 months ago
- CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification☆19Updated 9 months ago
- ☆65Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆123Updated last year
- Code for training, evaluating, and visualizing performance of mental workload classification using fNIRS BCI sensors☆27Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- Public fNIRS dataset☆35Updated last year
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆18Updated 4 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 6 months ago
- Python A novel multimodal approach for hybridbrain-computer interface☆17Updated 4 years ago
- 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
- Deep learning model for EEG artifact removal☆67Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆66Updated 4 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆37Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆64Updated last week
- DDGCNN for ssvep☆13Updated last year
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆58Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆68Updated 7 months ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- Accompanying code repository for NEMO, A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy☆12Updated last year
- ☆75Updated 3 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆41Updated 3 months ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆38Updated last year
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆83Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆82Updated 3 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 9 months ago