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A Performant Web-Based Visualization, Assessment, and Collaboration Tool for Multidimensional Biosignals.

Maximilian Beier1,2, Thomas Penzel1, Dagmar Krefting2,3

  • 1Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Frontiers in Neuroinformatics
|October 15, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a web-based biosignal analysis tool for enhanced multi-site collaboration. The accessible application facilitates interactive data visualization, assessment, and sharing, improving research efficiency.

Keywords:
EDFPSGbiosignalscollaborationvisualization

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Area of Science:

  • Biomedical Engineering
  • Medical Informatics
  • Computational Neuroscience

Background:

  • Multidisciplinary biosignal research necessitates robust collaboration tools.
  • Existing software lacks essential functionality, usability, and ubiquitous availability, especially in restricted hospital environments.
  • Limited software accessibility hinders effective multi-site collaboration in biosignal studies.

Purpose of the Study:

  • To introduce a novel web-based application for interactive biosignal visualization and assessment.
  • To address the limitations of current tools by focusing on performance, usability, and accessibility.
  • To facilitate seamless collaboration and data sharing in biosignal research.

Main Methods:

  • Developed a web-based application for interactive biosignal visualization and assessment.
  • Implemented client-side data parsing for handling large local and remote files.
  • Integrated features for data scoring, annotation, pseudonymization, and sharing.

Main Results:

  • The application efficiently handles files of any size, parsing data locally.
  • Channel labels are harmonized, and data can be interactively shared between users.
  • The tool supports uploading processed data to clinical data management systems.

Conclusions:

  • The developed web-based application significantly lowers the barrier for visual data examination and collaboration.
  • It provides a user-friendly, accessible, and high-performance solution for biosignal analysis.
  • The tool empowers researchers to make informed decisions through interactive data assessment and sharing.