CNN-for-EEG-classification / CNN-EEGLinks
Applying Convolutional Neural Networks to EEG signal Analysis
☆43Updated 3 years ago
Alternatives and similar repositories for CNN-EEG
Users that are interested in CNN-EEG are comparing it to the libraries listed below
Sorting:
- Generate statistical features from Electroencephalographic data☆93Updated 3 years ago
- This repository provides a collection of example codes and tutorials for EEG data analysis using MNE-Python. The scripts are designed to …☆26Updated 2 months ago
- Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications☆260Updated 2 years ago
- Hands-on tutorial on deep learning for EEG classification.☆81Updated last year
- ☆108Updated 6 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆150Updated last year
- PyTorch EEG emotion analysis using DEAP dataset☆90Updated 7 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆226Updated last year
- Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"☆177Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆44Updated 9 months ago
- CNN classifier to classify MI-EEG signals☆49Updated 5 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆204Updated 2 years ago
- EEG Sleep stage classification using CNN with Keras☆174Updated last year
- EEG-based emotion classification using DEAP dataset☆148Updated 2 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆112Updated 2 years ago
- [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.o…☆326Updated 6 years ago
- Deep learning model for EEG artifact removal☆76Updated 3 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago
- EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆604Updated last year
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆70Updated last year
- code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"☆200Updated last year
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆60Updated 2 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆31Updated 4 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆165Updated 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…☆152Updated 2 years ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆29Updated last month
- ☆110Updated last year
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆177Updated 2 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆73Updated last year
- A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes pl…☆166Updated 3 years ago