TY - GEN
T1 - Development and Effectiveness of a Novel Augmented Reality Self-training Cardiopulmonary Resuscitation Environment during COVID-19 Pandemic
T2 - 2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021
AU - Hou, Luoya
AU - Dong, Xu
AU - Yu, Yang
AU - Li, Ke
AU - Shang, Shaomei
AU - Jin, Xiaoyan
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/10/29
Y1 - 2021/10/29
N2 - 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.
AB - 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.
KW - AR glasses
KW - Augmented Reality
KW - CPR training
KW - Cardiopulmonary Resuscitation
KW - Protocol
KW - emergency medicine
UR - http://www.scopus.com/inward/record.url?scp=85122085049&partnerID=8YFLogxK
U2 - 10.1145/3500931.3500969
DO - 10.1145/3500931.3500969
M3 - Conference contribution
AN - SCOPUS:85122085049
T3 - ACM International Conference Proceeding Series
SP - 216
EP - 220
BT - Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021
PB - Association for Computing Machinery
Y2 - 29 October 2021 through 31 October 2021
ER -