Training CPR with a wearable real time feedback system

Gruenerbl, Agnes, Javaheri, Hamraz, Monger, Eloise, Gobbi, Mary and Lukowicz, Paul (2018) Training CPR with a wearable real time feedback system. In ISWC 2018 - Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery. pp. 44-47 . (doi:10.1145/3267242.3267277).

Abstract

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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Contributors

Author: Eloise Monger

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