# JingweiToo/EMG-Feature-Extraction-Toolbox

<https://repo.masters-masters.com/en/repos/JingweiToo/EMG-Feature-Extraction-Toolbox>

[Home](https://repo.masters-masters.com/en) › [JingweiToo](https://repo.masters-masters.com/en/owners/JingweiToo) › [EMG-Feature-Extraction-Toolbox](https://repo.masters-masters.com/en/repos/JingweiToo/EMG-Feature-Extraction-Toolbox)

JingweiToo/EMG-Feature-Extraction-Toolbox has 106 stars on GitHub. Its RepoMasters card: Prototype tier. This toolbox offers 40 feature extraction methods…

| Field | Value |
| --- | --- |
| Owner | [JingweiToo](https://repo.masters-masters.com/en/owners/JingweiToo) |
| Stars | 106 |
| Forks | 24 |
| Language | [MATLAB](https://repo.masters-masters.com/en/languages/matlab) |
| License | BSD-3-Clause |
| Created | 2020 |
| Topics | feature-extraction, electromyography, electromyogram, emg, classification, machine-learning, signal-processing |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [JingweiToo/EMG-Feature-Extraction-Toolbox](https://github.com/JingweiToo/EMG-Feature-Extraction-Toolbox) |

## Repository

This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by JingweiToo

- [JingweiToo/Wrapper-Feature-Selection-Toolbox-Python · ★ 287 · Python · Alpha](https://repo.masters-masters.com/en/repos/JingweiToo/Wrapper-Feature-Selection-Toolbox-Python)
- [JingweiToo/Wrapper-Feature-Selection-Toolbox · ★ 188 · MATLAB · Prototype](https://repo.masters-masters.com/en/repos/JingweiToo/Wrapper-Feature-Selection-Toolbox)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.