Habibzadeh Hadi, Dinesh Karthik, Shishvan Omid Rajabi, Boggio-Dandry Andrew, Sharma Gaurav, Soyata Tolga
Department of Electrical and Computer Engineering, SUNY Albany, Albany NY, 12203.
Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY 14627.
IEEE Internet Things J. 2020 Jan;7(1):53-71. doi: 10.1109/jiot.2019.2946359. Epub 2019 Oct 9.
In combination with current sociological trends, the maturing development of IoT devices is projected to revolutionize healthcare. A network of body-worn sensors, each with a unique ID, can collect health data that is orders-of-magnitude richer than what is available today from sporadic observations in clinical/hospital environments. When databased, analyzed, and compared against information from other individuals using data analytics, HIoT data enables the personalization and modernization of care with radical improvements in outcomes and reductions in cost. In this paper, we survey existing and emerging technologies that can enable this vision for the future of healthcare, particularly in the clinical practice of healthcare. Three main technology areas underlie the development of this field: (a) sensing, where there is an increased drive for miniaturization and power efficiency; (b) communications, where the enabling factors are ubiquitous connectivity, standardized protocols, and the wide availability of cloud infrastructure, and (c) data analytics and inference, where the availability of large amounts of data and computational resources is revolutionizing algorithms for individualizing inference and actions in health management. Throughout the paper, we use a case study to concretely illustrate the impact of these trends. We conclude our paper with a discussion of the emerging directions, open issues, and challenges.
结合当前的社会学趋势,物联网设备的成熟发展预计将给医疗保健带来变革。一个由可穿戴传感器组成的网络,每个传感器都有唯一的ID,能够收集比目前临床/医院环境中零星观察所获得的数据丰富几个数量级的健康数据。当基于数据库进行分析,并与使用数据分析的其他个体的信息进行比较时,健康物联网(HIoT)数据能够实现个性化和现代化的医疗保健,从而显著改善治疗效果并降低成本。在本文中,我们调查了现有和新兴的技术,这些技术能够实现医疗保健未来的这一愿景,特别是在医疗保健的临床实践中。该领域的发展有三个主要技术领域作为基础:(a)传感,在这方面对小型化和功率效率的需求日益增加;(b)通信,其推动因素是无处不在的连接性、标准化协议以及云基础设施的广泛可用性;(c)数据分析和推理,在这方面大量数据和计算资源的可用性正在彻底改变健康管理中个性化推理和行动的算法。在整篇论文中,我们使用一个案例研究来具体说明这些趋势的影响。我们在论文结尾讨论了新兴方向、未解决的问题和挑战。