emgGO

버전 2.0 (4.75 MB) 작성자: GallVp
A toolbox for offline muscle activity onset/offset detection in multi-channel EMG data.

다운로드 수: 21

업데이트 날짜: 2022/3/20

GitHub에서 호스트

GitHub에서 라이선스 보기

emgGO

emgGO (electromyography, graphics and optimisation) is a toolbox for offline muscle activity onset/offset detection in multi-channel EMG data.

emgGO GUIsvisualEEG main window


Fig 1. The GUI tools of emgGo which allow interactive processing of data.

Related Publications

  1. Optimal Automatic Detection of Muscle Activation Intervals, Journal of Electromyography and Kinesiology, doi: 10.1016/j.jelekin.2019.06.010

Compatibility

Currently emgGO is being developed on macOS Mojave, MATLAB 2017b.

Installation

  1. Clone the git repository using git. Or, download a compressed copy here.
$ git clone https://github.com/GallVp/emgGO
  1. From MATLAB file explorer, enter the emgGO folder by double clicking it. Follow the tutorials to experiment with the sample data.

Tutorials

Third Party Libraries

emgGO uses following third party libraries. The licenses for these libraries can be found next to source files in their respective libs/thirdpartlib folders.

  1. energyop Copyright (c) 2014, Hooman Sedghamiz. Source is available here.
  2. PSOt Copyright (c) 2005, Brian Birge. Source is available here.

인용 양식

GallVp (2022). emgGO (https://github.com/GallVp/emgGO/releases/tag/v2.0), GitHub. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2017b
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
태그 태그 추가

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.