Literature DB >> 33658612

Real-time breath recognition by movies from a small drone landing on victim's bodies.

Takeji Saitoh1, Yoshiaki Takahashi2, Hisae Minami2, Yukako Nakashima2, Shuhei Aramaki2, Yuki Mihara2, Takamasa Iwakura2, Keiichi Odagiri3, Yuichiro Maekawa4, Atsuto Yoshino2.   

Abstract

In local and global disaster scenes, rapid recognition of victims' breathing is vital. It is unclear whether the footage transmitted from small drones can enable medical providers to detect breathing. This study investigated the ability of small drones to evaluate breathing correctly after landing on victims' bodies and hovering over them. We enrolled 46 medical workers in this prospective, randomized, crossover study. The participants were provided with envelopes, from which they were asked to pull four notes sequentially and follow the written instructions ("breathing" and "no breathing"). After they lied on the ground in the supine position, a drone was landed on their abdomen, subsequently hovering over them. Two evaluators were asked to determine whether the participant had followed the "breathing" or "no breathing" instruction based on the real-time footage transmitted from the drone camera. The same experiment was performed while the participant was in the prone position. If both evaluators were able to determine the participant's breathing status correctly, the results were tagged as "correct." All experiments were successfully performed. Breathing was correctly determined in all 46 participants (100%) when the drone was landed on the abdomen and in 19 participants when the drone hovered over them while they were in the supine position (p < 0.01). In the prone position, breathing was correctly determined in 44 participants when the drone was landed on the abdomen and in 10 participants when it was kept hovering over them (p < 0.01). Notably, breathing status was misinterpreted as "no breathing" in 8 out of 27 (29.6%) participants lying in the supine position and 13 out of 36 (36.1%) participants lying in the prone position when the drone was kept hovering over them. The landing points seemed wider laterally when the participants were in the supine position than when they were in the prone position. Breathing status was more reliably determined when a small drone was landed on an individual's body than when it hovered over them.

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Year:  2021        PMID: 33658612      PMCID: PMC7930045          DOI: 10.1038/s41598-021-84575-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  19 in total

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Authors:  Douglas Chamberlain; Anna Smith; Malcolm Woollard; Michael Colquhoun; Anthony J Handley; Steve Leaves; Karl B Kern
Journal:  Resuscitation       Date:  2002-05       Impact factor: 5.262

2.  Part 5: Adult basic life support: 2010 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.

Authors:  Michael R Sayre; Rudolph W Koster; Martin Botha; Diana M Cave; Michael T Cudnik; Anthony J Handley; Tetsuo Hatanaka; Mary Fran Hazinski; Ian Jacobs; Koen Monsieurs; Peter T Morley; Jerry P Nolan; Andrew H Travers
Journal:  Circulation       Date:  2010-10-19       Impact factor: 29.690

Review 3.  Disasters and mass casualties: II. explosive, biologic, chemical, and nuclear agents.

Authors:  Christopher T Born; Susan M Briggs; David L Ciraulo; Eric R Frykberg; Jeffrey S Hammond; Asher Hirshberg; David W Lhowe; Patricia A O'Neill; Joann Mead
Journal:  J Am Acad Orthop Surg       Date:  2007-08       Impact factor: 3.020

Review 4.  Aerial drones for blood delivery.

Authors:  Geoffrey Ling; Nicole Draghic
Journal:  Transfusion       Date:  2019-04       Impact factor: 3.157

5.  Initial Steps in Training the Public about Bleeding Control: Surgeon Participation and Evaluation.

Authors:  Lenworth M Jacobs; Karyl J Burns; Peter T Pons; Mark L Gestring
Journal:  J Am Coll Surg       Date:  2017-05-10       Impact factor: 6.113

6.  Time to Delivery of an Automated External Defibrillator Using a Drone for Simulated Out-of-Hospital Cardiac Arrests vs Emergency Medical Services.

Authors:  Andreas Claesson; Anders Bäckman; Mattias Ringh; Leif Svensson; Per Nordberg; Therese Djärv; Jacob Hollenberg
Journal:  JAMA       Date:  2017-06-13       Impact factor: 56.272

7.  Evaluation of the performance of French physician-staffed emergency medical service in the triage of major trauma patients.

Authors:  Sophie Rym Hamada; Tobias Gauss; François-Xavier Duchateau; Jennifer Truchot; Anatole Harrois; Mathieu Raux; Jacques Duranteau; Jean Mantz; Catherine Paugam-Burtz
Journal:  J Trauma Acute Care Surg       Date:  2014-06       Impact factor: 3.313

8.  Prospective Validation of the National Field Triage Guidelines for Identifying Seriously Injured Persons.

Authors:  Craig D Newgard; Rongwei Fu; Dana Zive; Tom Rea; Susan Malveau; Mohamud Daya; Jonathan Jui; Denise E Griffiths; Lynn Wittwer; Ritu Sahni; K Dean Gubler; Jonathan Chin; Pat Klotz; Stephanie Somerville; Tina Beeler; T J Bishop; Tara N Garland; Eileen Bulger
Journal:  J Am Coll Surg       Date:  2015-11-14       Impact factor: 6.113

9.  Interaction between emergency medical dispatcher and caller in suspected out-of-hospital cardiac arrest calls with focus on agonal breathing. A review of 100 tape recordings of true cardiac arrest cases.

Authors:  Angela Bång; Johan Herlitz; Sven Martinell
Journal:  Resuscitation       Date:  2003-01       Impact factor: 5.262

10.  A Method for Remotely Sensing Vital Signs of Human Subjects Outdoors.

Authors:  Chuantao Li; Fuming Chen; Jingxi Jin; Hao Lv; Sheng Li; Guohua Lu; Jianqi Wang
Journal:  Sensors (Basel)       Date:  2015-06-24       Impact factor: 3.576

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  1 in total

1.  Development of the Aerial Remote Triage System using drones in mass casualty scenarios: A survey of international experts.

Authors:  Cristina Álvarez-García; Sixto Cámara-Anguita; José María López-Hens; Nani Granero-Moya; María Dolores López-Franco; Inés María-Comino-Sanz; Sebastián Sanz-Martos; Pedro Luis Pancorbo-Hidalgo
Journal:  PLoS One       Date:  2021-05-11       Impact factor: 3.240

  1 in total

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