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Authors: Gavin Corkery and Kenneth Dawson-Howe

Affiliation: School of Computer Science and Statistics, Trinity College, University of Dublin and Ireland

Keyword(s): Video Processing, Machine Vision, Optical Flow, Cardiopulmonary Resuscitation.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Medical Image Applications ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses

Abstract: This paper presents a prototype smartphone application to aid with the delivery of cardiopulmonary resuscitation (CPR). The person giving CPR is viewed from the side and both compressions and breaths are identified primarily using optical flow. This allows the system to provide near real time feedback on the chest compression rate (CCR) and on the timing of breaths (which affects the Chest Compression Fraction (CCF)). The system is evaluated on over 25 minutes of video of 6 different participants delivering CPR to a test dummy. A quantitative evaluation is presented which shows that the system recognised 99% of compressions and all of the breaths (although two false positive breaths were classified). It computed the CCF to within 1%.

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Paper citation in several formats:
Corkery, G. and Dawson-Howe, K. (2019). A Smartphone Tool for Evaluating Cardiopulmonary Resuscitation (CPR) Delivery. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 489-496. DOI: 10.5220/0007258904890496

@conference{visapp19,
author={Gavin Corkery. and Kenneth Dawson{-}Howe.},
title={A Smartphone Tool for Evaluating Cardiopulmonary Resuscitation (CPR) Delivery},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={489-496},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007258904890496},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP
TI - A Smartphone Tool for Evaluating Cardiopulmonary Resuscitation (CPR) Delivery
SN - 978-989-758-354-4
IS - 2184-4321
AU - Corkery, G.
AU - Dawson-Howe, K.
PY - 2019
SP - 489
EP - 496
DO - 10.5220/0007258904890496
PB - SciTePress

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