matlab-deep-learning / Abnormal-EEG-Signal-Classification-Using-CNNs
This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.
☆50Updated 2 years ago
Alternatives and similar repositories for Abnormal-EEG-Signal-Classification-Using-CNNs:
Users that are interested in Abnormal-EEG-Signal-Classification-Using-CNNs are comparing it to the libraries listed below
- This repository includes the MATLAB codes for computing phase lag index and power spectrum density.☆11Updated 7 months ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆83Updated 4 years ago
- This repository includes useful MATLAB codes for the detection of epileptic seizure in EEG signals using wavelet analysis and machine lea…☆11Updated 7 months ago
- Deep learning model for EEG artifact removal☆63Updated 2 years ago
- A general matlab framework for EEG data classification☆48Updated 7 years ago
- Implementation of EEG signal classification.☆49Updated 8 years ago
- This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algor…☆17Updated last month
- EEG Signal Processing - Entropy☆17Updated 4 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆36Updated last year
- This repository contains a set of Matlab scripts to process EEG and EMG signals (feature extraction, spectral analysis, ...).☆22Updated 3 years ago
- ☆17Updated 3 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆49Updated 2 years ago
- Motor Imagery EEG signal Classification on DWT☆24Updated 7 years ago
- NEURAL: a neonatal EEG feature set in Matlab☆37Updated 4 years ago
- CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of…☆41Updated 6 years ago
- 基于一个公开数据集和一个BCI竞赛数据集,提供一个SVM-CSP运动想象二分类demo☆11Updated 3 years ago
- ☆66Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆10Updated 3 years ago
- Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EE…☆18Updated 3 years ago
- Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients☆58Updated 3 years ago
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆29Updated 4 years ago
- This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.☆21Updated 3 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆12Updated last year
- ☆60Updated last year
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆48Updated 4 years ago
- Process and analyse EEG brain signals using EEGlab☆24Updated 6 years ago
- Automatic EEG IC classification plugin for EEGLAB☆55Updated 3 weeks ago
- Analysis of Transformer attention in EEG signal classification☆42Updated 5 months ago
- Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project☆17Updated 2 years ago