JingweiToo / EMG-Feature-Extraction-Toolbox

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

Date Created 2020-07-22 (4 years ago)

Commits 51 (last one 3 years ago)

Stargazers 87 (0 this week)

Watchers 3 (0 this week)

Forks 22

License bsd-3-clause

Ranking

RepositoryStats indexes 589,134 repositories, of these JingweiToo/EMG-Feature-Extraction-Toolbox is ranked #323,119 (45th percentile) for total stargazers, and #424,515 for total watchers. Github reports the primary language for this repository as MATLAB, for repositories using this language it is ranked #533/1,435.

JingweiToo/EMG-Feature-Extraction-Toolbox is also tagged with popular topics, for these it's ranked: machine-learning (#5,107/7978), classification (#334/541), signal-processing (#128/216)

Other Information

JingweiToo/EMG-Feature-Extraction-Toolbox has Github issues enabled, there is 1 open issue and 1 closed issue.

There have been 1 release, the latest one was published on 2020-12-11 (3 years ago) with the name Add missing features.

All Topics

emg classification electromyogram electromyography machine-learning signal-processing feature-extraction

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0 commits on the default branch (master) since jan '22

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The only known language in this repository is MATLAB

updated: 2024-12-04 @ 07:05am, id: 281604731 / R_kgDOEMjyew