CVxTz / EEG_classificationLinks
EEG Sleep stage classification using CNN with Keras
☆179Updated last year
Alternatives and similar repositories for EEG_classification
Users that are interested in EEG_classification are comparing it to the libraries listed below
Sorting:
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆258Updated 4 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆231Updated last year
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆461Updated last year
- ☆108Updated 6 years ago
- CNN classifier to classify MI-EEG signals☆50Updated 5 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆158Updated 2 years ago
- This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.☆218Updated 8 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆90Updated 7 years ago
- SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging☆106Updated last year
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆121Updated 2 years ago
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆62Updated 8 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆80Updated 7 years ago
- EEG Emotion classification using the DEAP pre-processed data☆160Updated 6 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆93Updated 7 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆334Updated 6 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆250Updated 2 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
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆130Updated 5 years ago
- ☆68Updated 6 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- CNN and RNN based architectures for Motor Imagery Classification☆15Updated 6 years ago
- EEG motor imagery classification using convolutional neural networks☆39Updated 2 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆182Updated 6 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☆111Updated 6 years ago
- ☆132Updated 2 years ago
- LSTM-based neural network system to predict EEG signals☆29Updated 6 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆145Updated 3 months ago