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Bio-Algorithms and Med-Systems

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1896-530X
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Building an audio/video-feedback system for simulation training in medical education

Moritz Mahling
  • Medical School, Faculty of Medicine, University of Tübingen, Tübingen, Germany
/ Alexander Münch
  • Medical School, Faculty of Medicine, University of Tübingen, Tübingen, Germany
/ Christoph Castan
  • Corresponding author
  • Medical School, Faculty of Medicine, University of Tübingen, Tübingen, Germany
  • Email:
/ Paul Schubert
  • Department of Anesthesiology and Intensive Care Medicine, University of Tübingen, Tübingen, Germany
/ Leopold Haffner
  • Medical School, Faculty of Medicine, University of Tübingen, Tübingen, Germany
/ Jan Griewatz
  • Competence Centre for University Teaching in Medicine, Faculty of Medicine, University of Tübingen, Tübingen, Germany
/ Andreas Manger
  • Department of Anesthesiology and Intensive Care Medicine, University of Tübingen, Tübingen, Germany
/ Nora Celebi
  • Ärztezentrum Ostend, Stuttgart, Germany
/ Reimer Riessen
  • Department of Internal Medicine, Medical Intensive Care Unit, University of Tübingen, Tübingen, Germany
/ Verena Conrad
  • DocLab, Faculty of Medicine, University of Tübingen, Tübingen, Germany
/ Anne Herrmann-Werner
  • DocLab, Faculty of Medicine, University of Tübingen, Tübingen, Germany
  • Department of Internal Medicine, Psychosomatic Medicine and Psychotherapy, University of Tübingen, Tübingen, Germany
/ Jörg Reutershan
  • Department of Anesthesiology and Intensive Care Medicine, University of Tübingen, Tübingen, Germany
Published Online: 2015-05-30 | DOI: https://doi.org/10.1515/bams-2015-0010

An erratum for this article can be found here: https://doi.org/10.1515/bams-2015-0025

Abstract

Background: Simulation training in medical education is a valuable tool for skill acquisition. Standard audio/video-feedback systems for training surveillance and subsequent video feedback are expensive and often not available.

Methods: We investigated solutions for a low-budget audio/video-feedback system based on consumer hardware and open source software.

Results: Our results indicate that inexpensive, movable network cameras are suitable for high-quality video transmission including bidirectional audio transmission and an integrated streaming platform. In combination with a laptop, a WLAN connection, and the open source software iSpyServer, one or more cameras represent the easiest, yet fully functional audio/video-feedback system. For streaming purposes, the open source software VLC media player yields a comprehensive functionality. Using the powerful VideoLAN Media Manager, it is possible to generate a split-screen video comprising different video and audio streams. Optionally, this system can be augmented by analog audio hardware. In this paper, we present how these different modules can be set up and combined to provide an audio/video-feedback system for a simulation ambulance.

Conclusions: We conclude that open source software and consumer hardware offer the opportunity to build a low-budget, feature-rich and high-quality audio/video-feedback system that can be used in realistic medical simulations.

Keywords: audio/video-feedback system; audio/video-system; medical simulation; simulation training; streaming

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About the article

Corresponding author: Christoph Castan, Medical School, Faculty of Medicine, University of Tübingen, 72076 Tübingen, Germany, E-mail:

aMoritz Mahling and Alexander Münch contributed equally to this work.


Received: 2015-03-30

Accepted: 2015-05-04

Published Online: 2015-05-30

Published in Print: 2015-06-15


Author contributions: All the authors have accepted responsibility for the entire content of the submitted manuscript and approved submission.

Research funding: Financial support for this project came from the “PROFIL” program of the Faculty of Medicine and from the Department of Anesthesiology and Intensive Care Medicine, University of Tübingen.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.


Citation Information: Bio-Algorithms and Med-Systems, ISSN (Online) 1896-530X, ISSN (Print) 1895-9091, DOI: https://doi.org/10.1515/bams-2015-0010.

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