Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network
☆113Oct 14, 2019Updated 6 years ago
Alternatives and similar repositories for BCI_MI_Wavelet_CNN
Users that are interested in BCI_MI_Wavelet_CNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CNN and RNN based architectures for Motor Imagery Classification☆15Jun 13, 2019Updated 7 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆94Mar 4, 2022Updated 4 years ago
- Classification algorithm based on motor imagery brain-computer interface☆33Aug 22, 2019Updated 6 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Jul 7, 2021Updated 5 years ago
- BCI Competition IV dataset 2a☆35Jun 8, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆43Aug 14, 2024Updated last year
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆81Apr 12, 2018Updated 8 years ago
- Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem☆19Feb 1, 2020Updated 6 years ago
- CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of…☆43Dec 13, 2018Updated 7 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆168Mar 26, 2020Updated 6 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆28Apr 18, 2024Updated 2 years ago
- MI-EEG recognition☆10Feb 14, 2019Updated 7 years ago
- Machine learning on motor imagery data.☆17May 15, 2020Updated 6 years ago
- A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.☆1,164Jul 20, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes pl…☆175May 30, 2022Updated 4 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 …☆164Jul 28, 2025Updated last year
- in this mini project i will use the libraries mne and braindecode to analyze and classify public domain EEG(ML) signals provided by physi…☆11Jan 29, 2025Updated last year
- Course project. A implementation of Graph Wavelet Neural Network (ICLR 2019)☆11Jan 6, 2020Updated 6 years ago
- ☆72Dec 10, 2018Updated 7 years ago
- This is for my Biomedical Computation class in campus. The problem is for classifying EEG Dataset from Bonn University that contains seiz…☆11Jan 9, 2017Updated 9 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆47Jan 4, 2024Updated 2 years ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆22Feb 14, 2024Updated 2 years ago
- the experiment on EEG classify using CNN-LSTM structure network☆12Jan 14, 2017Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A complete pipeline for reading preprocessing and classification of EEG data using different statistical ML models and different deep Lea…☆20Apr 23, 2019Updated 7 years ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆41Apr 30, 2023Updated 3 years ago
- 数据表型特征的挖掘☆15Nov 25, 2021Updated 4 years ago
- This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal cl…☆1,541May 2, 2022Updated 4 years ago
- Code to deploy a CNN to classify emotions using EEG Signals, based off the DEAP Dataset☆11Mar 2, 2024Updated 2 years ago
- ☆14Aug 20, 2023Updated 2 years ago
- Classification of multiple non-stationary time-series by using Continuous Wavelet Transformation☆17Feb 22, 2020Updated 6 years ago
- ☆15Nov 9, 2023Updated 2 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆34Nov 23, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A general matlab framework for EEG data classification☆51Aug 21, 2017Updated 8 years ago
- Openly available framework:☆12Feb 23, 2021Updated 5 years ago
- 尝试多种不同的深度神经网络结构(如LSTM,RESNET,DFCNN等)对单通道EEG进行自动化睡眠阶段分期.我们相信这些代码同时可以用于其他生理信号(如ECG,EMG等)的分类.希望这将有助于您的研究.☆16Apr 15, 2019Updated 7 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Apr 22, 2025Updated last year
- ECG Classification, Continuous Wavelet Transform, CWT, Convolutional Neural Network, CNN, Arrhythmia, Heartbeat classification☆88Jun 9, 2021Updated 5 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Jun 23, 2020Updated 6 years ago
- The repo contains open-source code and dataset related to my publication "Classification of Hand-Grasp Movements of Stroke Patients using…☆18Aug 21, 2022Updated 3 years ago