emgGO

A toolbox for offline muscle activity onset/offset detection in multi-channel EMG data.

emgGO

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

---

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

2. From MATLAB file explorer, enter the emgGO folder by double clicking it. Follow the tutorials to experiment with the sample data.

Tutorials

• emgGO: An Overview
• How to Import Data in emgGO?
• How to Detect Onsets/Offsets?
• How to Create a Processing Pipeline?
• The Extended Double Thresholding Algorithm

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.