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基于物联网的心脏性猝死风险救援警报系统。

IoT-based emergency cardiac death risk rescue alert system.

作者信息

Rehman Shafiq Ul, Sadek Ibrahim, Huang Binhua, Manickam Selvakumar, Mahmoud Lamees N

机构信息

College of Information Technology, Kingdom University, Bahrain.

Biomedical Engineering Dept, Faculty of Engineering, Helwan University, Helwan, Cairo, Egypt.

出版信息

MethodsX. 2024 Jun 30;13:102834. doi: 10.1016/j.mex.2024.102834. eCollection 2024 Dec.

Abstract

The use of technology in healthcare is one of the most critical application areas today. With the development of medical applications, people's quality of life has improved. However, it is impractical and unnecessary for medium-risk people to receive specialized daily hospital monitoring. Due to their health status, they will be exposed to a high risk of severe health damage or even life-threatening conditions without monitoring. Therefore, remote, real-time, low-cost, wearable, and effective monitoring is ideal for this problem. Many researchers mentioned that their studies could use electrocardiogram (ECG) detection to discover emergencies. However, how to respond to discovered emergencies in household life is still a research gap in this field.•This paper proposes a real-time monitoring of ECG signals and sending them to the cloud for Sudden Cardiac Death (SCD) prediction.•Unlike previous studies, the proposed system has an additional emergency response mechanism to alert nearby community healthcare workers when SCD is predicted to occur.

摘要

医疗保健领域对技术的应用是当今最关键的应用领域之一。随着医疗应用的发展,人们的生活质量得到了提高。然而,对于中度风险人群而言,接受专门的日常医院监测既不切实际也没有必要。由于他们的健康状况,如果不进行监测,他们将面临严重健康损害甚至危及生命状况的高风险。因此,远程、实时、低成本、可穿戴且有效的监测是解决这一问题的理想选择。许多研究人员提到,他们的研究可以利用心电图(ECG)检测来发现紧急情况。然而,如何在家庭生活中应对发现的紧急情况仍是该领域的一个研究空白。

•本文提出了一种对心电图信号进行实时监测并将其发送到云端以进行心脏性猝死(SCD)预测的方法。

•与以往的研究不同,所提出的系统具有额外的应急响应机制,当预测到心脏性猝死即将发生时,会向附近的社区医护人员发出警报。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d48/11278581/e4caad7dde85/ga1.jpg

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