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Technology and Code ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Neuroinform. | doi: 10.3389/fninf.2019.00065

A performant web-based visualization, assessment and collaboration tool for multidimensional biosignals

  • 1Charité Medical University of Berlin, Germany
  • 2Hochschule für Technik und Wirtschaft Berlin (HTW), Germany

Biosignal-based research is often multidisciplinary and benefits greatly from multi-site collaboration. This requires appropriate tooling that supports collaboration, is easy to use, and is accessible. However, current software tools do not provide the necessary functionality, usability, and ubiquitous availability. The latter is particularly crucial in environments such as hospitals, which often restrict users' permissions to install software. This paper introduces a new web-based application for interactive biosignal visualization and assessment. A focus has been placed on performance to allow for handling files of any size. The proposed solution can load local and remote files. It parses data locally on the client, and harmonizes channel labels. The data can then be scored, annotated, pseudonymized and uploaded to a clinical data management system for further analysis. The data and all actions can be interactively shared with a second party. This lowers the barrier to quickly visually examine data, collaborate and make informed decisions.

Keywords: biosignals, visualization, collaboration, EDF, PSG (Polysomnography)

Received: 02 May 2019; Accepted: 09 Sep 2019.

Copyright: © 2019 Beier, Penzel and Krefting. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mr. Maximilian Beier, Charité Medical University of Berlin, Berlin, Germany, Maximilian.Beier@htw-berlin.de