openMNGlab: Data Analysis Framework for Microneurography – A Technical Report

Studies in health technology and informatics, vol. 283, pp. 165–171

Abstract

openMNGlab is an open-source software framework for data analysis, tailored for the specific needs of microneurography - a type of electrophysiological technique particularly important for research on peripheral neural fibers coding. Currently, openMNGlab loads data from Spike2 and Dapsys, which are two major data acquisition solutions. By building on top of the Neo software, openMNGlab can be easily extended to handle the most common electrophysiological data formats. Furthermore, it provides methods for data visualization, fiber tracking, and a modular feature database to extract features for data analysis and machine learning.

Authors 5

1. Fabian Schlebusch Aachen Institute of Medical Informatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

   Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany

2. Frederic Kehrein Aachen Institute of Medical Informatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

   Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany

3. Rainer Röhrig Aachen Institute of Medical Informatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

   Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany

4. Barbara Namer Aachen Junior Research Group Neuroscience Interdisciplinary Center for Clinical Research Within the Faculty of Medicine

   RWTH Aachen University

   Affiliation as printed

   Junior Research Group Neuroscience, Interdisciplinary Center for Clinical Research Within the Faculty of Medicine, RWTH Aachen University, Aachen, Germany

5. Ekaterina Kutafina corresponding Aachen Institute of Medical Informatics Medical Faculty

   AGH University of Krakow · RWTH Aachen University

   Affiliation as printed

   Faculty of Applied Mathematics, AGH University of Science and Technology, Krakow, Poland

   Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany