CNN and RNN based architectures for Motor Imagery Classification
☆15Jun 13, 2019Updated 7 years ago
Alternatives and similar repositories for EEG_BCI
Users that are interested in EEG_BCI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆94Mar 4, 2022Updated 4 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆80Apr 12, 2018Updated 8 years ago
- ☆44Apr 13, 2019Updated 7 years ago
- BCI Competition IV dataset 2a☆34Jun 8, 2019Updated 7 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆48Nov 9, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆112Oct 14, 2019Updated 7 years ago
- Adaptive Selective Common Spatial Pattern☆11Oct 18, 2018Updated 8 years ago
- Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"☆12Aug 31, 2017Updated 9 years ago
- Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.☆11Mar 25, 2023Updated 3 years ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆41Apr 30, 2023Updated 3 years ago
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆43Aug 14, 2024Updated 2 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
- Code accompanying The Promise of Deep Learning for BCIs: Classification of Motor Imagery EEG using Convolutional Neural Network☆11Jan 4, 2022Updated 4 years ago
- Machine learning on motor imagery data.☆17May 15, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Learning Representations From EEG With Deep Recurrent-Convolutional Neural Networks☆18Dec 31, 2019Updated 6 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆244May 20, 2024Updated 2 years ago
- Motor Imagery System Using a Low-Cost EEG Brain Computer Interface.☆12Aug 27, 2021Updated 5 years ago
- This repository save my work about GAN applied to motor imagery eeg signals☆39Jul 25, 2025Updated last year
- Common spatial pattern (CSP) is a mathematical procedure used in signal processing for separating a multivariate signal into additive sub…☆19Jul 11, 2019Updated 7 years ago
- Codes for employing PySimMIBCI for MI-EEG data generation and for using such data with FBCNetToolbox models☆10Apr 12, 2023Updated 3 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆35Apr 22, 2025Updated last year
- Motor Imagery EEG signal Classification on DWT☆25Nov 7, 2017Updated 8 years ago
- CNN classifier to classify MI-EEG signals☆52Dec 2, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆27Jun 27, 2018Updated 8 years ago
- The liver, tumor and vessels segmentation is achieved in this application using semi-automatic segmentation method. It uses DICOM data of…☆10Jul 31, 2020Updated 6 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆48Jan 4, 2024Updated 2 years ago
- Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆38Oct 25, 2021Updated 5 years ago
- ☆12Nov 16, 2020Updated 5 years ago
- ☆12Apr 28, 2018Updated 8 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆21Jun 7, 2021Updated 5 years ago
- ☆11Jul 25, 2024Updated 2 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Mar 30, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Linear discriminant analysis on EEG Motor Movement/Imagery Dataset: https://www.physionet.org/pn4/eegmmidb/☆16Jan 13, 2019Updated 7 years ago
- 2014 autumn CSC project. EEG, Motor Imagery.☆10Apr 20, 2015Updated 11 years ago
- Similarity Learning applied to Speaker Verification and Semantic Textual Similarity☆13Apr 8, 2020Updated 6 years ago
- Interview preparation☆11Jul 16, 2020Updated 6 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Apr 16, 2021Updated 5 years ago
- Easy of use abstractions on top of Java EE security APIs☆12Jul 31, 2018Updated 8 years ago
- 20支亚洲足球队☆17Jan 20, 2019Updated 7 years ago