Detection of Ipsilateral Motor Evoked Potentials
DiMEP stands for Detection of ipsilateral Motor Evoked Potentials and was developed by Robert Guggenberger at the Institute of Neuromodulation and Neurotechnology of the University Hospital Tübingen.
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
from dimep.api import <algorithm>
and subsequently call them, e.g. with
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.
Metadata
Release files for dimep 0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dimep-0.2.tar.gz | 18.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dimep-0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 44.8 kB
Release files / dimep-0.2.tar.gz
| Download URL | dimep-0.2.tar.gz |
|---|---|
| Size | 18.5 kB |
| Tags | Source |
|
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Release files / dimep-0.2-py3-none-any.whl
| Download URL | dimep-0.2-py3-none-any.whl |
|---|---|
| Size | 26.4 kB |
| Tags | Python 3 |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.8.0 tqdm/4.56.0 CPython/3.7.6
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