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首页> 外文期刊>Hong Kong journal of emergency medicine. >A Randomised, Cross over Study Using a Mannequin Model to Evaluate the Effects on CPR Quality of Real-Time Audio-Visual Feedback Provided by a Smartphone Application
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A Randomised, Cross over Study Using a Mannequin Model to Evaluate the Effects on CPR Quality of Real-Time Audio-Visual Feedback Provided by a Smartphone Application

机译:使用时装模特模型评估智能手机应用程序提供的实时视听反馈对CPR质量的影响的随机交叉研究

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To evaluate the effect of real time feedback provided by smartphone application on cardiopulmonary resuscitation (CPR) performance. Participants were randomised in two groups based on whether chest compression with or without the assistance of the smartphone application. Both groups performed hands-only CPR on a mannequin for 4 minutes. Data on CPR performance of both groups was compared. To assess the reliability the feedback value, we compared the CPR data from Skillmeter and data from smartphone. A questionnaire survey to participants about the usefulness of the application was also evaluated. Twenty-one subjects were recruited for the study. We found no significant difference in mean chest compression rate (103.3±5.0/min vs. 107.1±1.7/min; p=0.133) and depth between the two groups (47.3 [39.3, 56.2] mm vs. 45.8 [40.3, 49.9] mm; p=0.085). The proportion of adequate compression depth over the total compression was significantly higher in the group using the smartphone (38.1% vs. 22.2%; p=0.034). The CPR data displayed on smartphone application in mannequin's chest was not different from Skillmeter software. The majority of the participants considered the application easy to use, but holding the smartphone during CPR hampered compression. Real-time audio-visual feedback on CPR depth and rate using a smartphone application can help to maintain the adequate chest compression depth in prolonged CPR. A better method to hold the smartphone may maximise the feedback effect on CPR quality. (Hong Kong j.emerg.med. 2014;21:153-160).
机译:评估智能手机应用程序提供的实时反馈对心肺复苏(CPR)性能的影响。根据是否使用智能手机应用程序进行胸部按压,将参与者随机分为两组。两组均在人体模型上进行了手动CPR,持续了4分钟。比较两组的CPR表现数据。为了评估反馈值的可靠性,我们比较了Skillmeter和智能手机的CPR数据。还对参与者进行了有关该应用程序有用性的问卷调查。招募了21个受试者用于该研究。我们发现两组的平均胸部按压速度(103.3±5.0 / min和107.1±1.7 / min; p = 0.133)和深度(47.3 [39.3,56.2] mm和45.8 [40.3,49.9])之间无显着差异。毫米; p = 0.085)。使用智能手机的组中,适当压缩深度占总压缩的比例显着更高(38.1%对22.2%; p = 0.034)。人体模型智能手机应用程序上显示的CPR数据与Skillmeter软件相同。大多数参与者认为该应用程序易于使用,但在CPR期间握住智能手机会阻碍压缩。使用智能手机应用程序对CPR深度和心率的实时视听反馈可以帮助在长时间的CPR中保持足够的胸部按压深度。握住智能手机的更好方法可以最大程度地提高对CPR质量的反馈效果。 (Hong Kong j.emerg.med.2014; 21:153-160)。

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