cuijiancorbin / A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEGLinks
In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (CAM) method for visualization. Results show that the model not only has a high accuracy but also learns biologically explainable features, e.g., Alpha spindles and Theta burst, as evidence for the drowsy state.…
☆27Updated 3 years ago
Alternatives and similar repositories for A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
Users that are interested in A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG are comparing it to the libraries listed below
Sorting:
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆21Updated 3 years ago
- ☆31Updated 5 months ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆60Updated 2 years ago
- ☆37Updated 9 months ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆67Updated 4 months ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆51Updated 2 months ago
- MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion☆41Updated 4 years ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆100Updated last year
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆37Updated 3 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆80Updated 2 months ago
- ☆18Updated 4 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition☆15Updated last year
- PyTorch implementation of TSception☆77Updated 2 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 3 years ago
- Deep learning model for EEG artifact removal☆76Updated 3 years ago
- SOTA methods for performing emotion classification using Transformers.☆21Updated 2 years ago
- ☆36Updated 7 years ago
- seizure type classification using TUH dataset☆75Updated last year
- ☆66Updated 2 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆64Updated last year
- ☆21Updated 2 years ago
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆25Updated 2 years ago
- ☆38Updated 4 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆35Updated 2 years ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆17Updated last year
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆204Updated 4 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆41Updated 4 years ago
- Emotion recognition base on EEG.☆17Updated 2 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year