Development and Effectiveness of a Novel Augmented Reality Self-training Cardiopulmonary Resuscitation Environment during COVID-19 Pandemic: A Protocol of Randomized Controlled Trail

Luoya Hou, Xu Dong, Yang Yu, Ke Li, Shaomei Shang, Xiaoyan Jin

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

General cardiopulmonary resuscitation (CPR) training rate in China is less than 1%. AR may represent a powerful instrument for CPR training especially during the COVID-19 pandemic. A two-arms, prospective, parallel, 1:1 randomized clinical trial was designed. Participants will recruit via social media advertisements from August to October 2021 in Beijing and randomized into AR self-training CPR group and instructor-led training group. With the guide of immersive multi-sensory AR self-training CPR environment in Hololens step by step, participants in AR group should try their best to perform 10 minutes hands-only CPR to simulate an out-of-hospital cardiac arrest and 15 minutes self-training of CPR and AED by Hololens after rest. Instructor-led group will perform continuous 10 minutes CPR with the similar simulation environment with the oral guide of certified instructor. And a 15 minutes face-to-face instructor-led training CPR and AED training are performed after rest. 2-min CPR skill assessment are conducted both in two groups after intervention immediately, 3 months and 6 months. Meanwhile, CPR quality, include mean, per minute and per cycle (chest compression 30 times) chest compression depth (cm) and rate (minute-1), real-time CPR performance score and compression accuracy will be measured. 2-sample t-test or Mann-Whitney U tests and c2 or Fisher exact tests will be used to analyze the data. When the crowd can't gather, the study may have important implications for improving CPR training rate in China with a large population. This trial has registered in https://www.chictr.org.cn/ on 28 July, 2021with unique identifier: ChiCTR2100049254.

原文English
主出版物標題Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021
發行者Association for Computing Machinery
頁面216-220
頁數5
ISBN(電子)9781450395588
DOIs
出版狀態Published - 29 10月 2021
對外發佈
事件2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021 - Virtual, Online, China
持續時間: 29 10月 202131 10月 2021

出版系列

名字ACM International Conference Proceeding Series

Conference

Conference2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021
國家/地區China
城市Virtual, Online
期間29/10/2131/10/21

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