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motor_evoked_potentials
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10.12751/g-node.3emvhy
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Motor evoked potentials for multiple sclerosis: A multiyear follow-up dataset.

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Jan Yperman 8968a13783 README.md modifications; Added requirements.txt 3 years ago
LICENSE fc835d36a9 Initial commit 3 years ago
README.md 8968a13783 README.md modifications; Added requirements.txt 3 years ago
create_df_from_portable_dataset.py 76f90a1058 Added sample use case notebook; Added code to convert to pandas dataframes. 3 years ago
mep_dataset.zip 8de7561f3a Added the MEP dataset 3 years ago
requirements.txt 8968a13783 README.md modifications; Added requirements.txt 3 years ago
sample_use_case.ipynb 76f90a1058 Added sample use case notebook; Added code to convert to pandas dataframes. 3 years ago

README.md

Motor evoked potentials for multiple sclerosis: A multiyear follow-up dataset.

Introduction

This dataset contains Motor Evoked Potential measurements, performed on Multiple Sclerosis patients. The dataset descriptor can be found at: [TODO]().

Usage

Structure

The dataset itself is stored in mep_dataset.zip. The general structures is as follows:

  • patient.csv: Contains the records for the various patients.
  • visit.csv: Contains the records for the various visits.
  • test.csv: Contains the records for the various tests.
  • measurement.csv: Contains the records for the various measurements.
  • edss.csv: Contains the records for the various edss measurements.

More details about specifics fields can be found in the dataset descriptor.

Getting started

It is highly recommended to have a look at the included jupyter notebook to familiarize oneself with the dataset. It includes a sample use case and goes over how to work with the dataset.