Suppr超能文献

通过从落在受害者身上的小型无人机上播放的电影进行实时呼吸识别。

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

机构信息

Department of Emergency and Disaster Medicine, Hamamatsu University School of Medicine, Hamamatsu, 431-3125, Japan.

Center for Clinical Research, Hamamatsu University Hospital, Hamamatsu, 431-3125, Japan.

出版信息

Sci Rep. 2021 Mar 3;11(1):5042. doi: 10.1038/s41598-021-84575-1.

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.

摘要

在本地和全球灾难场景中,快速识别受害者的呼吸至关重要。目前尚不清楚小型无人机传输的视频画面是否能让医疗人员检测到呼吸。本研究旨在调查小型无人机降落在受害者身上并在其上方盘旋后正确评估呼吸的能力。我们招募了 46 名医务人员参与这项前瞻性、随机、交叉研究。参与者被提供信封,他们需要从中依次抽取四张纸条并按照纸条上的说明(“有呼吸”和“无呼吸”)进行操作。参与者躺在地上呈仰卧位后,将无人机降落在他们的腹部,随后在其上方盘旋。两名评估者根据从无人机摄像头传输的实时视频判断参与者是否遵循了“有呼吸”或“无呼吸”的指令。当参与者处于俯卧位时,进行了相同的实验。如果两名评估者都能正确判断参与者的呼吸状态,则结果标记为“正确”。所有实验均成功完成。当无人机降落在腹部时,所有 46 名参与者(100%)的呼吸均被正确判断,而当无人机在其上方盘旋时,19 名参与者(p<0.01)的呼吸被正确判断。当无人机降落在腹部时,44 名参与者(100%)的呼吸在俯卧位时被正确判断,而当无人机在其上方盘旋时,10 名参与者(27.3%)的呼吸被正确判断(p<0.01)。值得注意的是,当无人机保持盘旋状态时,27 名仰卧位参与者中有 8 名(29.6%)和 36 名俯卧位参与者中有 13 名(36.1%)被错误地判断为“无呼吸”。当参与者处于仰卧位时,无人机的着陆点看起来比处于俯卧位时更宽。当小型无人机降落在个体身上时,呼吸状态的判断更可靠。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb2b/7930045/341aad861fac/41598_2021_84575_Fig1_HTML.jpg

相似文献

1
Real-time breath recognition by movies from a small drone landing on victim's bodies.
Sci Rep. 2021 Mar 3;11(1):5042. doi: 10.1038/s41598-021-84575-1.
2
Unmanned aerial vehicles (drones) in out-of-hospital-cardiac-arrest.
Scand J Trauma Resusc Emerg Med. 2016 Oct 12;24(1):124. doi: 10.1186/s13049-016-0313-5.
3
The feasibility of medical unmanned aerial systems in suburban areas.
Am J Emerg Med. 2021 Dec;50:532-545. doi: 10.1016/j.ajem.2021.08.064. Epub 2021 Aug 31.
5
Incremental gains in response time with varying base location types for drone-delivered automated external defibrillators.
Resuscitation. 2022 May;174:24-30. doi: 10.1016/j.resuscitation.2022.03.013. Epub 2022 Mar 18.
6
Does lying in the recovery position increase the likelihood of not delivering cardiopulmonary resuscitation?
Resuscitation. 2017 Jun;115:173-177. doi: 10.1016/j.resuscitation.2017.03.008. Epub 2017 Apr 9.
7
Drone delivery of an automated external defibrillator - a mixed method simulation study of bystander experience.
Scand J Trauma Resusc Emerg Med. 2019 Apr 8;27(1):40. doi: 10.1186/s13049-019-0622-6.
9
Pulmonary perfusion is more uniform in the prone than in the supine position: scintigraphy in healthy humans.
J Appl Physiol (1985). 1999 Apr;86(4):1135-41. doi: 10.1152/jappl.1999.86.4.1135.
10
Human drone interaction in delivery of medical supplies: A scoping review of experimental studies.
PLoS One. 2022 Apr 28;17(4):e0267664. doi: 10.1371/journal.pone.0267664. eCollection 2022.

引用本文的文献

1
Grasping extreme aerodynamics on a low-dimensional manifold.
Nat Commun. 2023 Oct 14;14(1):6480. doi: 10.1038/s41467-023-42213-6.
2
Development of the Use of Unmanned Aerial Vehicles (UAVs) in Emergency Rescue in China.
Risk Manag Healthc Policy. 2021 Oct 14;14:4293-4299. doi: 10.2147/RMHP.S323727. eCollection 2021.
3
Development of the Aerial Remote Triage System using drones in mass casualty scenarios: A survey of international experts.
PLoS One. 2021 May 11;16(5):e0242947. doi: 10.1371/journal.pone.0242947. eCollection 2021.

本文引用的文献

2
Unmanned aerial vehicle (drones) in public health: A SWOT analysis.
J Family Med Prim Care. 2019 Feb;8(2):342-346. doi: 10.4103/jfmpc.jfmpc_413_18.
3
Management of moderate and severe traumatic brain injury.
Transfusion. 2019 Apr;59(S2):1529-1538. doi: 10.1111/trf.15171.
4
The final frontier? Exploring organ transportation by drone.
Am J Transplant. 2019 Mar;19(3):962-964. doi: 10.1111/ajt.15113. Epub 2018 Oct 4.
5
Civilian Prehospital Tourniquet Use Is Associated with Improved Survival in Patients with Peripheral Vascular Injury.
J Am Coll Surg. 2018 May;226(5):769-776.e1. doi: 10.1016/j.jamcollsurg.2018.01.047. Epub 2018 Mar 29.
6
The trauma center is too late: Major limb trauma without a pre-hospital tourniquet has increased death from hemorrhagic shock.
J Trauma Acute Care Surg. 2017 Dec;83(6):1165-1172. doi: 10.1097/TA.0000000000001666.
8
Initial Steps in Training the Public about Bleeding Control: Surgeon Participation and Evaluation.
J Am Coll Surg. 2017 Jun;224(6):1084-1090. doi: 10.1016/j.jamcollsurg.2017.02.013. Epub 2017 May 10.
9
Accuracy of prehospital triage protocols in selecting severely injured patients: A systematic review.
J Trauma Acute Care Surg. 2017 Aug;83(2):328-339. doi: 10.1097/TA.0000000000001516.
10
Unmanned aerial vehicles (drones) in out-of-hospital-cardiac-arrest.
Scand J Trauma Resusc Emerg Med. 2016 Oct 12;24(1):124. doi: 10.1186/s13049-016-0313-5.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验