Welcome to DiMEP’s documentation!

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

Stable

pip install dimep

Development

pip install git+https://github.com/translationalneurosurgery/tool-dimep.git

Example

# mock a single-channel EMG signal
from numpy import random
random.seed(0)
trace = random.randn(1000)
print(trace.shape)
# >>> (1000,)

# and apply the template approach on this trace
# where the trace is the single-channel EMG recording
# tms_sampleidx marks the onset of the TMS pulse
# and fs is the sampling rate.
from dimep.api import guggenberger
guggenberger(trace=trace, tms_sampleidx= 500, fs = 1000)
# >>> 0.11904591308664515

Documentation

• More Examples
  • List available algorithms
  • Mock a trace
  • Call all implemented algorithms at once
  • Access a specific algorithm
  • Call a specific algorithm
• Algorithms
  • Chen 2003
  • Bawa 2004
  • Bradnam 2010
  • Guggenberger
  • Lewis 2007
  • Loyda 2017
  • Odergren 1996
  • Rotenberg 2010
  • Summers 2020
  • Wassermann 1994
  • Zewdie 2017
  • Ziemann 1999
• Cite As
• Strictness of algorithms
• Number of trials required for decomposition

Indices and tables

• Index

• Module Index

• Search Page