Metadata-Version: 2.1
Name: dimep
Version: 0.1.0
Summary: Measures ipsilateral MEPs
Home-page: https://github.com/translationalneurosurgery/tool-dimep
Author: Robert Guggenberger
Author-email: robert.guggenberger@uni-tuebingen.de
License: MIT
Download-URL: https://github.com/translationalneurosurgery/tool-dimep
Description: 
        [![status](https://github.com/translationalneurosurgery/tool-dimep/workflows/pytest/badge.svg)](https://github.com/translationalneurosurgery/tool-dimep/actions) [![Documentation Status](https://readthedocs.org/projects/tool-dimep/badge/?version=latest)](https://tool-dimep.readthedocs.io/en/latest/?badge=latest) [![Coverage Status](https://coveralls.io/repos/github/translationalneurosurgery/tool-dimep/badge.svg?branch=develop)](https://coveralls.io/github/translationalneurosurgery/tool-dimep?branch=develop) [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://en.wikipedia.org/wiki/MIT_License)
        
        
        # Detection of Ipsilateral Motor Evoked Potentials
        
        **DiMEP** stands for **D**etection of **i**psilateral **M**otor **E**voked **P**otentials and was developed by [Robert Guggenberger](https://www.robert-guggenberger.de) at the [Institute of Neuromodulation and Neurotechnology of the University Hospital Tübingen](https://www.medizin.uni-tuebingen.de/go/neuromodulation).
        
        
        Installation
        ------------
        
        Install the stabel release from PyPI with `pip install dimep` and the most recent development  tip with `pip install git+https://github.com/translationalneurosurgery/tool-dimep.git`.
        
        Usage
        -----
        
        Access the algorithms with
        
        ``` python
        
           from dimep.api import <algorithm>
        
        ```
        and subsequently call them, e.g. with
        
        ``` python
        
           from dimep.api import lewis
           lewis(trace=trace, tms_sampleidx= 500, fs = 1000)
           # where the trace is the single-channel EMG recording
           # tms_sampleidx marks the onset of the TMS pulse
           # and fs is the sampling rate.
        ```
        
        Documentation
        -------------
        
        Read the documentation on [readthedocs](https://tool-dimep.readthedocs.io/en/latest/?badge=latest).
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
