Literature DB >> 29653153

Unmanned aerial vehicles (drones) to prevent drowning.

Celia Seguin1, Gilles Blaquière1, Anderson Loundou2, Pierre Michelet3, Thibaut Markarian4.   

Abstract

BACKGROUND: Drowning literature have highlighted the submersion time as the most powerful predictor in assessing the prognosis. Reducing the time taken to provide a flotation device and prevent submersion appears of paramount importance. Unmanned aerial vehicles (UAVs) can provide the location of the swimmer and a flotation device.
OBJECTIVE: The objective of this simulation study was to evaluate the efficiency of a UAV in providing a flotation device in different sea conditions, and to compare the times taken by rescue operations with and without a UAV (standard vs UAV intervention). Several comparisons were made using professional lifeguards acting as simulated victims. A specifically-shaped UAV was used to allow us to drop an inflatable life buoy into the water.
RESULTS: During the summer of 2017, 28 tests were performed. UAV use was associated with a reduction of time it took to provide a flotation device to the simulated victim compared with standard rescue operations (p < 0.001 for all measurements) and the time was reduced even further in moderate (81 ± 39 vs 179 ± 78 s; p < 0.001) and rough sea conditions (99 ± 34 vs 198 ± 130 s; p < 0.001). The times taken for UAV to locate the simulated victim, identify them and drop the life buoy were not altered by the weather conditions.
CONCLUSION: UAV can deliver a flotation device to a swimmer safely and quickly. The addition of a UAV in rescue operations could improve the quality and speed of first aid while keeping lifeguards away from dangerous sea conditions.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Drone; Drowning; Lifeguards; Rescue; Simulation; Unmanned aerial vehicles

Mesh:

Year:  2018        PMID: 29653153     DOI: 10.1016/j.resuscitation.2018.04.005

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  5 in total

1.  Unsupervised Human Detection with an Embedded Vision System on a Fully Autonomous UAV for Search and Rescue Operations.

Authors:  Eleftherios Lygouras; Nicholas Santavas; Anastasios Taitzoglou; Konstantinos Tarchanidis; Athanasios Mitropoulos; Antonios Gasteratos
Journal:  Sensors (Basel)       Date:  2019-08-14       Impact factor: 3.576

2.  Development of unmanned aerial vehicle (UAV) networks delivering early defibrillation for out-of-hospital cardiac arrests (OHCA) in areas lacking timely access to emergency medical services (EMS) in Germany: a comparative economic study.

Authors:  Jan Bauer; Dieter Moormann; Reinhard Strametz; David A Groneberg
Journal:  BMJ Open       Date:  2021-01-22       Impact factor: 2.692

Review 3.  Impact of Using Drones in Emergency Medicine: What Does the Future Hold?

Authors:  Anna M Johnson; Christopher J Cunningham; Evan Arnold; Wayne D Rosamond; Jessica K Zègre-Hemsey
Journal:  Open Access Emerg Med       Date:  2021-11-16

Review 4.  Possibilities of Using UAVs in Pre-Hospital Security for Medical Emergencies.

Authors:  Marlena Robakowska; Daniel Ślęzak; Przemysław Żuratyński; Anna Tyrańska-Fobke; Piotr Robakowski; Paweł Prędkiewicz; Katarzyna Zorena
Journal:  Int J Environ Res Public Health       Date:  2022-08-29       Impact factor: 4.614

Review 5.  [Cardiac arrest under special circumstances].

Authors:  Carsten Lott; Anatolij Truhlář; Anette Alfonzo; Alessandro Barelli; Violeta González-Salvado; Jochen Hinkelbein; Jerry P Nolan; Peter Paal; Gavin D Perkins; Karl-Christian Thies; Joyce Yeung; David A Zideman; Jasmeet Soar
Journal:  Notf Rett Med       Date:  2021-06-10       Impact factor: 0.826

  5 in total

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