sun2009ban / Single-Channel-sEMG-DecompositionView external linksLinks
Code for our paper
☆11Dec 24, 2018Updated 7 years ago
Alternatives and similar repositories for Single-Channel-sEMG-Decomposition
Users that are interested in Single-Channel-sEMG-Decomposition are comparing it to the libraries listed below
Sorting:
- This is a version of EMGlab software. It contains changes that adapt the EMGlab to new versions of Matlab.☆13Dec 10, 2019Updated 6 years ago
- Decomposition of sEMG signals via Blind Source Separation☆14May 8, 2025Updated 9 months ago
- ☆20Jun 15, 2019Updated 6 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆37Jun 10, 2019Updated 6 years ago
- SDK of sEMG function of matlab☆18Feb 14, 2017Updated 9 years ago
- This repository contain the code we used to divide NinaPro database 5 into train set and test set☆11Mar 14, 2019Updated 6 years ago
- sEMG feature extract and visual tools☆10Mar 25, 2019Updated 6 years ago
- ☆14Mar 12, 2025Updated 11 months ago
- A simulation model of surface electromyography (sEMG) and force generation☆14Mar 28, 2023Updated 2 years ago
- Surface electromyography based gesture recognition based on dual-stream CNN☆13Jun 7, 2023Updated 2 years ago
- Source code for multiple parameter modelling of synthetic electromyography data.☆21Feb 21, 2024Updated last year
- 基于MYO的表面肌电数据采集与分析程序☆13Oct 20, 2019Updated 6 years ago
- ☆34Jan 28, 2019Updated 7 years ago
- ☆20Apr 25, 2023Updated 2 years ago
- Simple Python interface to the Delsys wireless EMG system☆42May 25, 2019Updated 6 years ago
- A deep latent generative model for learning biosystems☆20May 16, 2023Updated 2 years ago
- Implementation of surface EMG decomposition as proposed on Francesco Negro et al 2016 J. Neural Eng. 13 026027.☆19May 7, 2023Updated 2 years ago
- Convolutional Neural Networks On Ninapro datasets☆18Nov 28, 2017Updated 8 years ago
- Classification of gestures from EMG readings using a deep learning recurrent neural network☆17May 30, 2020Updated 5 years ago
- ☆26Mar 26, 2024Updated last year
- Package for decomposing EMG signals into motor unit firings, as used in Formento et al 2021.☆26Nov 23, 2021Updated 4 years ago
- The source code for the the manuscript titled [M. AbdelMaseeh, T. W. Chen and D. W. Stashuk, "Extraction and Classification of Multichann…☆24Sep 7, 2021Updated 4 years ago
- Code repo of the paper "A Multi-stream Convolutional Neural Network for sEMG-based Gesture Recognition in Musclecomputer interface".☆25May 15, 2019Updated 6 years ago
- Improved sEMG-based gesture recognition☆66Nov 25, 2019Updated 6 years ago
- Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementation…☆72Mar 7, 2019Updated 6 years ago
- Evaluate gesture detection and recognition models on the NinaPro dataset and newly collected data.☆24May 28, 2019Updated 6 years ago
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆65May 16, 2019Updated 6 years ago
- Toolbox for processing the EMG signals from MYO armband☆11May 19, 2020Updated 5 years ago
- App to decompose electromyographic signals and manually edit the motor unit pulse trains☆44Jan 30, 2026Updated 2 weeks ago
- MATLAB implementation of (FAST) ICA decomposition of hd-sEMG signals to motor units☆46Jan 24, 2025Updated last year
- 基于sEMG和IMU的手语手势识别，包括数据收集、数据预处理（去噪、特征提取，分割）、神经网络搭建、实时识别等。☆37Apr 26, 2018Updated 7 years ago
- Custom gesture recognition with the Myo Armband by implementing scikit-learn machine learning models☆13Nov 9, 2018Updated 7 years ago
- EMG feature calculator for putEMG dataset☆10Jan 8, 2020Updated 6 years ago
- ☆12Jul 1, 2021Updated 4 years ago
- Domain Adaption for sEMG-based Gesture Recognition with Recurrent Neural Networks☆39Jun 8, 2020Updated 5 years ago
- Repository containing the code for the paper: "TouchSense: Classifying Finger Touches and Measuring their Force with an Electromyography …☆11Oct 31, 2018Updated 7 years ago
- UHD is a surface electromyogram (sEMG) signals database, including original sEMG signals, the starting points and the termination points …☆12Dec 4, 2019Updated 6 years ago
- published in Biomedical Signal Processing and Control☆13May 16, 2020Updated 5 years ago
- Confidence Estimates with KalmanNet☆13Oct 6, 2021Updated 4 years ago