Skip to main content

Myonset is a package for detecting EMG burst onset.

Project description

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 ‘PATH_OF_DEBUT_PCK_FOLDER’

For instance:

pip install C:\Users\Administrateur\Downloads\myonset_pck

License

Myonset is licensed under the GNU General Public Licence v3 - see COPYING file for more details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

myonset-0.1.tar.gz (49.4 kB view details)

Uploaded Source

Built Distribution

myonset-0.1-py3-none-any.whl (53.6 kB view details)

Uploaded Python 3

File details

Details for the file myonset-0.1.tar.gz.

File metadata

  • Download URL: myonset-0.1.tar.gz
  • Upload date:
  • Size: 49.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for myonset-0.1.tar.gz
Algorithm Hash digest
SHA256 513adc84793e7fdf31e45238be6a56e1172ccfc367c5e7dc9e89d0bd1e4465db
MD5 6586d5a7ae4aca2e10e1f55f2b856d18
BLAKE2b-256 1246d09eec8523782317253104e7db628088accbcba0db455746754b8bbc7e0e

See more details on using hashes here.

File details

Details for the file myonset-0.1-py3-none-any.whl.

File metadata

  • Download URL: myonset-0.1-py3-none-any.whl
  • Upload date:
  • Size: 53.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for myonset-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3e63f35e55c4c1279a728c828263504aa456581054e69d872eba00d05fd29af0
MD5 0e55969d3fc8abea7f87c81973f166fa
BLAKE2b-256 a5de95151204ecea0c11092b9dd6b8b22b17003e2f8510f4d02423c9ab8e3138

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page