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Training CPR with a Wearable Real Time Feedback System

  • We present a study comparing the effect of real-time wearable feedback with traditional training methods for cardiopulmonary resuscitation (CPR). The aim is to ensure that the students can deliver CPR with the right compression speed and depth. On the wearable side, we test two systems: one based on a combination of visual feedback and tactile information on a smart-watch and one based on visual feedback and audio information on a Google Glass. In a trial with 50 subjects (23 trainee nurses and 27 novices,) we compare those modalities to standard human teaching that is used in nurse training. While a single traditional teaching session tends to improve only the percentage of correct depth, it has less effect on the percentage of effective CPR (depth and speed correct at the same time). By contrast, in a training session with the wearable feedback device, the average percentage of time when CPR is effective improves by up to almost 25%.

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Metadaten
Author:Agnes Grünerbl
URN (permanent link):urn:nbn:de:hbz:386-kluedo-55280
ISBN:978-1-4503-5967-2
Parent Title (English):Proceedings of the 2018 ACM International Symposium on Wearable Computers
Publisher:ACM
Editor(s):ISWC Ubicomp
Contributor(s):Hamraz Javaheri, Paul Lukowicz
Document Type:Conference Proceeding
Language of publication:English
Publication Date:2019/02/28
Year of Publication:2018
Publishing Institute:Technische Universität Kaiserslautern
Date of the Publication (Server):2019/03/01
Number of page:4
Source:https://dl.acm.org/citation.cfm?id=3267277
Faculties / Organisational entities:Fachbereich Informatik
DDC-Cassification:0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):Zweitveröffentlichung