Internet-of-Things Devices and Assistive Technologies for Health Care: Applications, Challenges, and Opportunities
Internet-of-Things Devices and Assistive Technologies for Health Care: Applications, Challenges, and Opportunities
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DOI：
10.1109/msp.2021.3075929
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发表时间：
2021-07-01
影响因子：
14.9
通讯作者：
Gregori, Stefano
中科院分区：
文献类型：
--
作者：
Baucas, Marc Jayson;Spachos, Petros;Gregori, Stefano
医疗条件和病例正在快速增长，物理空间开始受到限制。医院和诊所不再有能力容纳大量来访的病人。显然，健康产业需要改善其宝贵而有限的资源的现状。物联网(IoT)设备以及辅助技术的发展可以通过提供方便和轻松的无线访问医疗服务的方式来缓解医疗保健问题。有太多的物联网设备和潜在的应用可以利用这些技术可以提供的独特特征。然而，与此同时，这些服务也带来了新的挑战，需要妥善解决。在这篇文章中，我们回顾了一些流行的基于物联网的医疗保健应用及其设备类别。然后，我们描述了挑战，并讨论了研究如何能够适当地解决开放的问题，并改进医疗保健中已经存在的实施。进一步可能的解决方案，包括机器学习(ML)技术，也被讨论，以显示它们作为未来医疗保健应用的可行解决方案的潜力。
Medical conditions and cases are growing at a rapid pace, and physical space is starting to be constrained. Hospitals and clinics no longer have the ability to accommodate large numbers of incoming patients. It is clear that the health industry needs to improve the current state of its valuable and limited resources. The evolution of Internet-of-Things (IoT) devices along with assistive technologies can alleviate the problem in health care by providing a convenient and easy means of accessing health-care services wirelessly. There is a plethora of IoT devices and potential applications that can take advantage of the unique characteristics that these technologies can offer. However, at the same time, these services pose novel challenges that need to be properly addressed. In this article, we review some popular categories of IoT-based applications for health care along with their devices. We then describe the challenges and discuss how research can properly address the open issues and improve the already-existing implementations in health care. Further possible solutions, including machine learning (ML) techniques, are also discussed to show their potential as viable solutions for future health-care applications.