[Wearable Smart Cardiac Care: Take Vipasyana for Example].

Q3 Nursing Journal of Nursing Pub Date : 2024-06-01 DOI:10.6224/JN.202406_71(3).03
Hsi-Lu Chao, Sau-Hsuan Wu
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引用次数: 0

Abstract

The most direct challenge to the healthcare system in Taiwan associated with population aging is the chronic and growing shortfall in medical and nursing practitioners. The integration of artificial intelligence, Internet of Things, and advanced 5G communication technologies is making healthcare more streamlined and intuitive to improve healthcare service efficiency, encourage cross-disciplinary cooperation to improve patient health management, and introduce and mainstream innovative service models such as telecare. To this end, the wearable smart cardiac care system 'Vipasyana', jointly developed by the interdisciplinary research team of the Departments of Electrical Engineering and Computer Science at National Yang Ming Chiao Tung University, not only has an innovative fully functional wireless wearable electrocardiograph but also uses machine learning-based detection/prediction methods to detect and monitor for emergencies such as myocardial infarction, ventricular tachycardia/ventricular fibrillation, and heart failure. To handle the real-time streaming sensing data generated during clinical trials, a big data real-time streaming framework based on Apache Storm and microservices has also been integrated. In addition, a mobile phone app and virtual reality 3D ward round system providing a user-friendly management and monitoring tool for medical staffs were developed and integrated into the system. The 'Vipasyana' system is capable of providing precision medical services to individual patients.

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[可穿戴智能心脏护理:以 Vipasyana 为例】。]
人口老龄化给台湾医疗系统带来的最直接挑战是医疗和护理从业人员长期且日益短缺。人工智能、物联网和先进的 5G 通信技术的融合,使医疗保健更加简化和直观,从而提高医疗保健服务效率,鼓励跨学科合作以改善患者健康管理,并引入远程护理等创新服务模式,使其成为主流。为此,国立阳明交通大学电子工程系与计算机科学系跨学科研究团队共同开发的可穿戴式智能心脏护理系统 "Vipasyana",不仅拥有创新的全功能无线可穿戴式心电图仪,还采用基于机器学习的检测/预测方法来检测和监测心肌梗塞、室性心动过速/室颤和心力衰竭等紧急情况。为了处理临床试验期间产生的实时流传感数据,还集成了一个基于 Apache Storm 和微服务的大数据实时流框架。此外,该系统还开发并集成了手机应用程序和虚拟现实三维查房系统,为医务人员提供了方便使用的管理和监控工具。Vipasyana "系统能够为每个病人提供精准的医疗服务。
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来源期刊
Journal of Nursing
Journal of Nursing Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
14
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