CVxTz / EEG_classification
EEG Sleep stage classification using CNN with Keras
☆166Updated 10 months ago
Alternatives and similar repositories for EEG_classification:
Users that are interested in EEG_classification are comparing it to the libraries listed below
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆240Updated 3 years ago
- CNN classifier to classify MI-EEG signals☆49Updated 5 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆219Updated 11 months ago
- Feature Extraction of Mental Load EEG signals☆56Updated 8 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…☆141Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆158Updated 5 years ago
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆59Updated 7 years ago
- ☆105Updated 6 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆62Updated 4 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 7 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆128Updated 4 years ago
- EEG Emotion classification using the DEAP pre-processed data☆145Updated 6 years ago
- SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging☆101Updated last year
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆83Updated 7 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆230Updated last year
- ☆129Updated 2 years ago
- Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of w…☆114Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆125Updated last year
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆92Updated 6 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆166Updated 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 …☆132Updated 6 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆38Updated 5 years ago
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆110Updated last year
- This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.☆215Updated 7 years ago
- ☆11Updated 5 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆44Updated 2 years ago
- Hands-on tutorial on deep learning for EEG classification.☆72Updated 11 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago