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.…
☆28Updated 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 "…☆22Updated 3 years ago
- ☆33Updated 8 months ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆94Updated 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…☆55Updated 5 months ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆70Updated 7 months ago
- PyTorch implementation of TSception☆82Updated 2 years ago
- Code for paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆103Updated 3 weeks ago
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆210Updated 5 years ago
- ☆41Updated last year
- ☆14Updated last year
- Analysis of Transformer attention in EEG signal classification☆46Updated last year
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆64Updated 3 years ago
- ☆28Updated 4 months ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆76Updated 3 years ago
- ☆19Updated 7 months ago
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆25Updated 2 years ago
- ☆19Updated 4 years ago
- ☆11Updated 2 years ago
- This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including…☆79Updated 5 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆141Updated last year
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆35Updated 3 weeks ago
- seizure type classification using TUH dataset☆78Updated 2 months ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆17Updated last year
- Public Models considered for emotion estimation from EEG☆34Updated 3 years ago
- ☆68Updated 2 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆115Updated 2 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- ☆39Updated 4 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆65Updated 2 years ago
- SOTA methods for performing emotion classification using Transformers.☆21Updated 3 years ago