This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
☆93Jan 10, 2021Updated 5 years ago
Alternatives and similar repositories for EEG-Feature-Extraction-Toolbox
Users that are interested in EEG-Feature-Extraction-Toolbox are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆52Dec 7, 2023Updated 2 years ago
- Feature extraction for EEG signals☆29Jan 23, 2020Updated 6 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆33Nov 23, 2020Updated 5 years ago
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆107Jan 11, 2021Updated 5 years ago
- Process and analyse EEG brain signals using EEGlab☆26Oct 20, 2018Updated 7 years ago
- A general matlab framework for EEG data classification☆51Aug 21, 2017Updated 8 years ago
- Feature Extraction of Mental Load EEG signals☆60Nov 3, 2016Updated 9 years ago
- 音频刺激的受众脑电特征(线性,非线性)提取,分类,选择最优特征等☆22Jun 19, 2019Updated 6 years ago
- Generate statistical features from Electroencephalographic data☆96Aug 5, 2022Updated 3 years ago
- Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)☆45Sep 15, 2019Updated 6 years ago
- This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.☆23Jan 10, 2021Updated 5 years ago
- EEG Emotion Classification algorithm - copy from private☆15Mar 1, 2016Updated 10 years ago
- Easy-to-use EEG preprocessing pipeline based on MNE☆15Jun 13, 2021Updated 4 years ago
- MFF Matlab file importer and exporter☆15Aug 1, 2024Updated last year
- 数据表型特征的挖掘☆15Nov 25, 2021Updated 4 years ago
- Implementation of EEG signal classification.☆52Jun 30, 2016Updated 9 years ago
- Emotional recognition using electroencephelography (EEG)☆19Jul 30, 2018Updated 7 years ago
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆12Sep 8, 2022Updated 3 years ago
- Differential entropy features of EEG dataset☆13Mar 28, 2023Updated 2 years ago
- This repository contains a set of Matlab scripts to process EEG and EMG signals (feature extraction, spectral analysis, ...).☆27Jul 8, 2021Updated 4 years ago
- Hacking the TGAM1 Neurosky EEG chip with an Arduino.☆12Feb 2, 2018Updated 8 years ago
- All code to download datasets for the three classification case studies, compute SPIs, fit SVMs, and visualise results for pyspi publicat…☆12Aug 14, 2023Updated 2 years ago
- Emotion Recognition using PSO and SVM☆15Jun 9, 2021Updated 4 years ago
- This project focuses on data preprocessing and epilepsy seizure prediction using the CHB-MIT EEG dataset. It includes steps like data cle…☆55Nov 22, 2023Updated 2 years ago
- Matlab code for proccesing EEG signals.☆82Jun 27, 2018Updated 7 years ago
- Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.☆28Jul 30, 2021Updated 4 years ago
- In this project, we propose a CNN-LSTM model to classify single-channel EEG for driver drowsiness detection. We designed a visualization …☆14Nov 21, 2021Updated 4 years ago
- Python + EEG/MEG = PyEEG☆259Jan 18, 2024Updated 2 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Jan 16, 2015Updated 11 years ago
- Automatic EEG IC classification plugin for EEGLAB☆72Nov 19, 2025Updated 4 months ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆22Dec 25, 2021Updated 4 years ago
- Github page for the paper "Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive mod…☆11Oct 23, 2020Updated 5 years ago
- This toolbox extends frequency domain quantitative electroencephalography (qEEG) methods pursuing higher sensitivity to detect Brain Deve…☆13Jul 18, 2025Updated 8 months ago
- ☆133Dec 8, 2022Updated 3 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆184Oct 8, 2022Updated 3 years ago
- ☆11Nov 27, 2022Updated 3 years ago
- A versatile signal processing and analysis framework for Motor-Imagery related Electroencephalogram (EEG). It mainly involves temporal an…☆25Apr 16, 2020Updated 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…☆237Jul 19, 2023Updated 2 years ago
- Public EEG Dataset☆74May 23, 2023Updated 2 years ago