Song Yeongtak, Chee Youngjoon, Oh Jaehoon, Ahn Chiwon, Lim Tae Ho
Convergence Technology Center for Disaster Preparedness, Hanyang University, Seoul, Republic of Korea.
School of Electrical Engineering, University of Ulsan, Ulsan, Republic of Korea.
Resuscitation. 2016 Jun;103:20-23. doi: 10.1016/j.resuscitation.2016.03.014. Epub 2016 Mar 19.
Recently, there have been attempts to use smartphones and smartwatches as the feedback devices to improve the quality of chest compressions. In this study, we compared chest compression depth feedback accuracy between a smartphone and a smartwatch in a hands-only cardiopulmonary resuscitation scenario, using a manikin with a displacement sensor system.
Ten basic life support providers participated in this study. Guided by the chest compression depths displayed on the monitor of a laptop, which received data from the manikin, each participant performed 2min of chest compressions for each target depth (35mm and 55mm) on a manikin while gripping a smartphone and wearing a smartwatch. Participants had a rest of 1h between the instances, and the first target depth was set at random. Each chest compression depth data value from the smartphone and smartwatch and a corresponding reference value from the manikin with the displacement system were recorded. To compare the accuracy between the smartphone and smartwatch, the errors, expressed as the absolute of the differences between the reference and each device, were calculated.
At both target depths, the error of the smartwatch were significantly smaller than that of the smartphone (the errors of the smartphone vs. smartwatch at 35mm: 3.4 (1.3) vs. 2.1 (0.8) mm; p=0.008; at 55mm: 5.3 (2.8) vs. 2.3 (0.9) mm; p=0.023).
The smartwatch-based chest compression depth feedback was more accurate than smartphone-based feedback.
最近,人们尝试使用智能手机和智能手表作为反馈设备来提高胸外按压的质量。在本研究中,我们在徒手心肺复苏场景下,使用配备位移传感器系统的人体模型,比较了智能手机和智能手表之间胸外按压深度反馈的准确性。
10名基础生命支持提供者参与了本研究。在接收来自人体模型数据的笔记本电脑显示器上显示的胸外按压深度的指导下,每位参与者在人体模型上针对每个目标深度(35毫米和55毫米)进行2分钟的胸外按压,同时手持智能手机并佩戴智能手表。参与者在两次操作之间休息1小时,且第一个目标深度是随机设定的。记录来自智能手机和智能手表的每个胸外按压深度数据值以及来自配备位移系统的人体模型的相应参考值。为了比较智能手机和智能手表之间的准确性,计算了误差,误差以参考值与每个设备之间差异的绝对值表示。
在两个目标深度下,智能手表的误差均显著小于智能手机(35毫米时智能手机与智能手表的误差:3.4(1.3)毫米对2.1(0.8)毫米;p = 0.008;55毫米时:5.3(2.8)毫米对2.3(0.9)毫米;p = 0.023)。
基于智能手表的胸外按压深度反馈比基于智能手机的反馈更准确。