Myonset Package
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.
Installation
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
License
Myonset is licensed under the GNU General Public Licence v3 - see COPYING file for more details.
Metadata
Release files for myonset 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| myonset-1.1.2.tar.gz | 49.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| myonset-1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 103.5 kB
Release files / myonset-1.1.2.tar.gz
| Download URL | myonset-1.1.2.tar.gz |
|---|---|
| Size | 49.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.9
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Release files / myonset-1.1.2-py3-none-any.whl
| Download URL | myonset-1.1.2-py3-none-any.whl |
|---|---|
| Size | 54.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.9
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