Hup Roelof G, Linssen Emma C, Eversdijk Marijn, Verbruggen Bente, Bak Marieke A R, Habibovic Mirela, Kop Willem J, Willems Dick L, Dekker Lukas R C, Haakma Reinder, Vernooij Carlijn A, Kooy Tom A, Tan Hanno L, Vullings Rik
Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Department of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Resusc Plus. 2024 Feb 9;17:100576. doi: 10.1016/j.resplu.2024.100576. eCollection 2024 Mar.
Out-of-hospital cardiac arrest is a major health problem, and the overall survival rate is low (4.6%-16.4%). The initiation of the current chain of survival depends on the presence of a witness of the cardiac arrest, which is not present in 29.7%-63.4% of the cases. Furthermore, a delay in starting this chain is common in witnessed out-of-hospital cardiac arrest. This project aims to reduce morbidity and mortality due to out-of-hospital cardiac arrest by developing a smartwatch-based solution to expedite the chain of survival in the case of (un)witnessed out-of-hospital cardiac arrest.
Within the 'Beating Cardiac Arrest' project, we aim to develop a demonstrator product that detects out-of-hospital cardiac arrest using photoplethysmography and accelerometer analysis, and autonomously alerts emergency medical services. A target group study will be performed to determine who benefits the most from this product. Furthermore, several clinical studies will be conducted to capture or simulate data on out-of-hospital cardiac arrest cases, as to develop detection algorithms and validate their diagnostic performance. For this, the product will be worn by patients at high risk for out-of-hospital cardiac arrest, by volunteers who will temporarily interrupt blood flow in their arm by inflating a blood pressure cuff, and by patients who undergo cardiac electrophysiologic and implantable cardioverter defibrillator testing procedures. Moreover, studies on psychosocial and ethical acceptability will be conducted, consisting of surveys, focus groups, and interviews. These studies will focus on end-user preferences and needs, to ensure that important individual and societal values are respected in the design process.
院外心脏骤停是一个重大的健康问题,总体生存率较低(4.6%-16.4%)。当前生存链的启动取决于心脏骤停时有目击者在场,而在29.7%-63.4%的病例中不存在这种情况。此外,在有目击者的院外心脏骤停中,启动这条链的延迟很常见。本项目旨在开发一种基于智能手表的解决方案,以在(无)目击者的院外心脏骤停情况下加快生存链,从而降低院外心脏骤停导致的发病率和死亡率。
在“心跳骤停”项目中,我们旨在开发一种演示产品,该产品使用光电容积脉搏波描记法和加速度计分析来检测院外心脏骤停,并自动向紧急医疗服务机构发出警报。将进行一项目标群体研究,以确定谁能从该产品中获益最多。此外,将开展多项临床研究,以获取或模拟院外心脏骤停病例的数据,从而开发检测算法并验证其诊断性能。为此,该产品将由院外心脏骤停高危患者、通过给血压袖带充气暂时中断手臂血流的志愿者以及接受心脏电生理和植入式心脏复律除颤器测试程序的患者佩戴。此外,将进行关于心理社会和伦理可接受性的研究,包括调查、焦点小组和访谈。这些研究将关注最终用户的偏好和需求,以确保在设计过程中尊重重要的个人和社会价值观。