PyDapsys: An Open-Source Library for Electrophysiology Data Recorded with DAPSYS - A Technical Case Report

Abstract

Many commercial data acquisition and processing solutions use proprietary formats for data storage. This often leads to data being locked up in formats that are only accessible by using the original software, which may lead to problems when the software becomes unsupported, changed or otherwise unavailable. Therefore, strategies should be established to ensure long-term, independent, and unified access to data in such formats. This access is particularly important when valuable medical experiments cannot be repeated easily. In this work, we demonstrate PyDapsys, a solution to gain open access to data that was acquired using a proprietary recording system. PyDapsys enables us to open the recorded files directly in Python and therefore secures efficient and open access to existing and prospective data. It further allows a direct streamline into the developed open-source software for microneurography data analysis.

Authors 7

1. Peter Konradi corresponding Aachen Institute of Medical Informatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

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

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

2. Alina Troglio Aachen Research group Neuroscience Department of Physiology

   RWTH Aachen University

   Affiliation as printed

   Research Group Neuroscience , IZKF , Department of Physiology , RWTH Aachen , Aachen , Germany

   Research Group Neuroscience, IZKF, Department of Physiology, RWTH Aachen, Aachen, Germany

3. Ariadna Pérez Garriga Aachen Institute of Medical Informatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

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

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

4. Aarón Pérez Martín

   Forschungszentrum Jülich · Jülich Aachen Research Alliance · Jülich Supercomputing Centre

   Affiliation as printed

   Simulation and Data Lab Neuroscience , Jülich Supercomputing Centre (JSC) , Institute for Advanced Simulation , JARA , Forschungszentrum Jülich GmbH , Jülich , Germany

   Simulation and Data Lab Neuroscience, Jülich Supercomputing Centre (JSC), Institute for Advanced Simulation, JARA, Forschungszentrum Jülich GmbH, Jülich, Germany

5. 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

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

6. Barbara Namer Aachen Research group Neuroscience Department of Physiology

   RWTH Aachen University

   Affiliation as printed

   Research Group Neuroscience , IZKF , Department of Physiology , RWTH Aachen , Aachen , Germany

   Research Group Neuroscience, IZKF, Department of Physiology, RWTH Aachen, Aachen, Germany

7. Ekaterina Kutafina Aachen Institute of Medical Informatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

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

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