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Algorithms for Detection of Ipsilateral Motor Evoked Potentials

License: MIT License

Python 80.38% Makefile 0.58% Shell 0.34% TeX 18.69%

imep detection algorithms tms ispilateral mep

tool-dimep's Introduction

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.

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tool-dimep's Issues

Guggenberger template does only work with traces at least 103ms long

Via PC:
Hier ist das template default-mäßig auf eine Länge von 103 eingestellt. D.h. die cross-correlation funktioniert nur, wenn die input-trace auch 103 lang ist.

Lewis with discernible_only==True does not use correct start point

Vie personal communication:

Zum Lewis-Algorithmus bei discernible_only: Hier wird der onset, ab dem das Signal die 3SD überschreitet zwischen minlatency (10ms nach TMS) und maxlatency (30ms nach TMS) bestimmt. Jedoch wird die Amplitude dann immer ab Beginn der response (also ab TMS) bestimmt, d.h. ich denke es fehlt ein +10ms bei der Amplitudenbestimmung. Also habe ich Zeile 90 wie folgt geändert: amp = np.ptp(response[onset +minlatency: onset +minlatency+ window]). Wenn discernible_only auf False ist dann ändert sich nichts, aber wenn es auf True ist dann wird die Amplitude relativ ab dem onset bestimmt. Übersehe ich da irgendetwas?

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