manfredoatzori / PaWFE---Parallel-Window-Feature-ExtractionLinks
Parallel signal feature extraction code. The code was originally written for sEMG, but it can be applied to other data arranged as multiple sequences of values (e.g. EEG).
☆47Updated 5 years ago
Alternatives and similar repositories for PaWFE---Parallel-Window-Feature-Extraction
Users that are interested in PaWFE---Parallel-Window-Feature-Extraction are comparing it to the libraries listed below
Sorting:
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆104Updated 4 years ago
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆63Updated 6 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆34Updated 6 years ago
- The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface el…☆63Updated 9 months ago
- ☆19Updated 2 years ago
- ☆21Updated 3 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆11Updated 4 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆108Updated 5 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago
- Machine learning code implemented for hand gesture recognition using EMG data from the Ninapro db1 database. Report Link: https://drive.…☆41Updated last year
- Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)☆108Updated 5 years ago
- Code repo of the paper "A Multi-stream Convolutional Neural Network for sEMG-based Gesture Recognition in Musclecomputer interface".☆25Updated 6 years ago
- A list of papers for physiological signal classification using machine learning/deep learning.☆243Updated 3 years ago
- This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG …☆52Updated 2 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…☆43Updated 6 years ago
- ☆32Updated 2 years ago
- Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain…☆69Updated 2 years ago
- GANs for generating EMG signals☆89Updated 5 years ago
- Implementation of EEG signal classification.☆50Updated 9 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆240Updated last year
- Improved sEMG-based gesture recognition☆62Updated 5 years ago
- Python functions and important data for working on NinaPro database 1 & 2☆22Updated 2 years ago
- ☆83Updated 3 years ago
- ☆71Updated 3 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- The source code for the the manuscript titled [M. AbdelMaseeh, T. W. Chen and D. W. Stashuk, "Extraction and Classification of Multichann…☆25Updated 3 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆81Updated 5 years ago
- ☆32Updated 6 years ago
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆36Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆133Updated last year