tevisgehr / EEG-Classification
This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
☆214Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for EEG-Classification
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆204Updated 6 months ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆268Updated 2 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆154Updated 4 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆288Updated 5 years ago
- A tensorflow implementation for EEGLearn☆78Updated 5 years ago
- CNN classifier to classify MI-EEG signals☆47Updated 4 years ago
- ☆103Updated 5 years ago
- EEG Sleep stage classification using CNN with Keras☆152Updated 5 months ago
- ☆129Updated last year
- Matlab code for proccesing EEG signals.☆76Updated 6 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 6 years ago
- Hands-on tutorial on deep learning for EEG classification.☆67Updated 6 months ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆219Updated 3 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN