tothemoon10080 / CHB-MIT-data-preprocessing-and-predictionLinks
This project focuses on data preprocessing and epilepsy seizure prediction using the CHB-MIT EEG dataset. It includes steps like data cleansing, feature extraction, and handling imbalanced datasets, aimed at improving the accuracy of seizure prediction.
☆41Updated last year
Alternatives and similar repositories for CHB-MIT-data-preprocessing-and-prediction
Users that are interested in CHB-MIT-data-preprocessing-and-prediction are comparing it to the libraries listed below
Sorting:
- ☆21Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆75Updated last year
- Code for BHI 2023 Paper on EEG Seizure Detection☆21Updated last year
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆60Updated last year
- code for LMDA☆83Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆133Updated last year
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 3 months ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 3 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated 2 months ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆269Updated 4 months ago
- ☆90Updated 8 months ago
- A list of papers for motor imagery using machine learning/deep learning.☆79Updated 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☆27Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆112Updated last year
- ☆83Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆63Updated last year
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆177Updated 2 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆12Updated 9 months ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆16Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆44Updated 8 months ago
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆118Updated 2 years ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆148Updated 2 years ago