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.
☆213Updated 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 5 months 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…☆284Updated 5 years ago
- ☆103Updated 5 years ago
- Deep Learning with Tensor Flow for EEG MNE Epoch Objects☆267Updated last year
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆124Updated 4 years ago
- A tensorflow implementation for EEGLearn☆77Updated 5 years ago
- ☆129Updated last year
- CNN classifier to classify MI-EEG signals☆47Updated 4 years ago
- EEG Sleep stage classification using CNN with Keras☆150Updated 4 months ago
- Realtime emotion recognition from EEG data.☆146Updated 6 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆84Updated 6 years ago
- EEG Emotion classification using the DEAP pre-processed data☆133Updated 6 years ago
- Outdated, see new https://github.com/braindecode/braindecode☆322Updated 4 years ago
- ☆65Updated 5 years ago
- Feature Extraction of Mental Load EEG signals☆54Updated 8 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆78Updated 6 years ago
- ☆69Updated 2 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 …☆124Updated 5 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆74Updated 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…☆157Updated 5 years ago
- SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach☆218Updated 3 years ago
- Generate statistical features from Electroencephalographic data☆84Updated 2 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- Python code for mental state recognition from EEG observations using CNN and RNN networks.☆34Updated 8 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆59Updated 4 years ago
- A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.☆714Updated 4 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆35Updated 2 months ago
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG☆406Updated 3 months ago
- Matlab code for proccesing EEG signals.☆77Updated 6 years ago