liyaochong / classification-in-EEGLinks
Wavelet transform and SVM are used to identify awake or sleep based on EEG signal.
☆18Updated 2 years ago
Alternatives and similar repositories for classification-in-EEG
Users that are interested in classification-in-EEG are comparing it to the libraries listed below
Sorting:
- In this Basic Tutorial, I have used 1DCNN for EEG classification using random dataset, You can use your own dataset☆19Updated 6 years ago
- This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG …☆53Updated 2 years ago
- This repository includes useful MATLAB codes for the detection of epileptic seizure in EEG signals using wavelet analysis and machine lea…☆12Updated last year
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago
- This repository includes the MATLAB codes for computing phase lag index and power spectrum density.☆11Updated last year
- Matlab code for proccesing EEG signals.☆81Updated 7 years ago
- Classification of eeg signals using knn and svm based upon significant features☆14Updated 2 years ago
- Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.☆108Updated 5 years ago
- Implementation of EEG signal classification.☆52Updated 9 years ago
- A general matlab framework for EEG data classification☆49Updated 8 years ago
- This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.☆24Updated 2 months ago
- ECG signal denoising using Ensemble Empirical Mode Decomposition and R peak detection (cardiac frequency) using Hilbert Transform.☆73Updated 6 years ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆41Updated 2 years ago
- Project for identify human sleep stage using the combination of ELM and PSO compared to the combination of SVM and PSO☆24Updated 6 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆111Updated 6 years ago
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆106Updated 4 years ago
- Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients☆63Updated 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…☆43Updated 6 years ago
- CNN and RNN based architectures for Motor Imagery Classification☆15Updated 6 years ago
- A versatile signal processing and analysis framework for Motor-Imagery related Electroencephalogram (EEG). It mainly involves temporal an…☆25Updated 5 years ago
- This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algor…☆19Updated 10 months ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆40Updated 6 years ago
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆121Updated 2 years ago
- ☆108Updated 6 years ago
- Classification of Fatigue in Consumer-grade EEG Using Entropies as Features☆17Updated 5 years ago
- EEG Sleep stage classification using CNN with Keras☆179Updated last year
- EEG Signal Processing - Entropy☆18Updated 5 years ago
- Emotion classification from Brain EEG signals using a hybrid CNN-Transformer model and various ML algorithms.☆29Updated 2 years ago
- 基于小波变换和卷积神经网络的脑电运动成像信号分类☆47Updated 4 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆231Updated last year