RespectKnowledge / EEG-using-deep-LearningLinks
In this Basic Tutorial, I have used 1DCNN for EEG classification using random dataset, You can use your own dataset
☆19Updated 6 years ago
Alternatives and similar repositories for EEG-using-deep-Learning
Users that are interested in EEG-using-deep-Learning are comparing it to the libraries listed below
Sorting:
- EEG emotion recognition based on Temporal convolutional network☆24Updated 6 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆47Updated 5 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆40Updated 5 years ago
- ☆36Updated 6 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☆46Updated 4 years ago
- ☆27Updated 7 years ago
- Classification of Fatigue in Consumer-grade EEG Using Entropies as Features☆17Updated 4 years ago
- Implementation of EEG signal classification.☆50Updated 9 years ago
- Feature extraction for EEG signals☆29Updated 5 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆48Updated 2 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆82Updated 5 years ago
- Feature Extraction of Mental Load EEG signals☆60Updated 8 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆108Updated 5 years ago
- EEG Emotion Classification algorithm - copy from private☆15Updated 9 years ago
- Currently working on analysis of EEG (Electroencephalography) signals on the emotion recognition and sleep stage classification problems.…☆16Updated 7 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
- This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…☆12Updated 2 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆21Updated 5 years ago
- SEEG Project☆16Updated 4 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆41Updated 5 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆59Updated 2 years ago
- A list of papers for physiological signal classification using machine learning/deep learning.☆243Updated 3 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- ☆19Updated 5 years ago
- 基于单通道脑电信号的自动睡眠分期研究(Automatic Sleep Staging Based on EEG Signal using Deep Network)☆33Updated 2 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 4 years ago
- A general matlab framework for EEG data classification☆49Updated 8 years ago
- Common spatial pattern (CSP) is a mathematical procedure used in signal processing for separating a multivariate signal into additive sub…☆19Updated 6 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago