Myonset is a python package to process and detect signal burst(s) onset and offset, especially developed for electromyographic (EMG) signal. Myonset implements tools for signal preprocessing, automatic onset and offset detection, as well as vizualisation and correction of onset and offset latencies.
Dependencies
Myonset toolbox requires Python 3 installation, installing Anaconda is recommended, but any other Python 3 installation should work. Most Myonset dependencies are provided with a base Anaconda environment (numpy, scipy, matplotlib, PyQt5). The only package that needs to be installed (when using Anaconda...) is pyqtgraph (installation instruction below).
Installing through Anaconda
Open the anaconda prompt (Windows: Applications / Anaconda 3 / Anaconda prompt ; Mac /linux: just start a terminal). First, install pyqtgraph:
conda install pyqtgraph
Most users will also need mne-python, on which we mainly rely to open and save files containing EMG data signal:
pip install mne
Finally, install Myonset: copy folder ‘myonset_pck’ somewhere on your computer, then in anaconda prompt:
pip install myonset
Myonset is licensed under the GNU General Public Licence v3 - see COPYING file for more details.