ISSN 1000-1239 CN 11-1777/TP

计算机研究与发展 ›› 2020, Vol. 57 ›› Issue (1): 53-73.doi: 10.7544/issn1000-1239.2020.20190002

• 综述 • 上一篇    下一篇

智慧健康研究综述: 从云端到边缘的系统

邱宇1,王持1,齐开悦2,沈耀1,李超1,张成密3,过敏意1   

  1. 1(上海交通大学大学计算机科学与工程系 上海 200240);2(上海交通大学电子信息和电气工程学院 上海 200240);3(上海交通大学医学院附属新华医院 上海 200092) (ed3rss@sjtu.edu.cn)
  • 出版日期: 2020-01-01
  • 基金资助: 
    上海交大-卫宁健康联合实验室项目(2017001);上海交通大学医工交叉项目(YG2016QN73)

A Survey of Smart Health: System Design from the Cloud to the Edge

Qiu Yu1, Wang Chi1, Qi Kaiyue2, Shen Yao1, Li Chao1, Zhang Chengmi3, Guo Minyi1   

  1. 1(Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240);2(School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240);3(Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092)
  • Online: 2020-01-01
  • Supported by: 
    This work was supported by the Project of SJTU-Winning Joint Laboratory (2017001) and the SJTU Medical-Engineering Cross Project (YG2016QN73).

摘要: 智慧健康是基于物联网的环境感知网络和传感基础设施的实时的、智能的、无处不在的医疗保健服务.得益于云计算、雾计算以及物联网等相关技术的快速发展,关于智慧健康的相关研究也逐渐步入正轨.近年来对于智慧健康的相关研究,主要从云端和边缘这2个主要方向展开,其中包含了云、雾计算,物联网传感器,区块链以及隐私和安全等相关技术.目前,在云和智慧健康的研究中,关注点在于如何利用云去完成海量健康数据的挑战和提升服务性能,具体包括健康大数据在云中的存储、检索和计算等相关问题.而在边缘,研究重点转变为健康数据的采集、传输和计算,具体包括用于采集健康数据的各类传感器和可穿戴设备、各类无线传感器技术以及如何在边缘处理健康数据并提升服务性能等.最后,对典型的智慧健康应用案例、区块链在智慧健康中的应用以及相关隐私和安全问题进行了讨论,并提出了智慧健康服务在未来的挑战和机遇.

关键词: 智慧健康, 云计算, 雾计算, 传感器, 区块链, 隐私和安全, 综述

Abstract: Smart health is a real-time, intelligent, ubiquitous healthcare service based on the IoT aware network and sensing infrastructure. Thanks to the rapid development of related technologies such as cloud computing, fog computing and IoT, research on smart health is gradually on the right track. This paper analyzes research on smart health in recent years and then discusses the development of smart health from both cloud and edge, including cloud computing, fog computing, IoT sensors, blockchain, and privacy and security. At present, in the research of cloud and smart health, the focus is on how to use the cloud to complete the challenges of massive health data and improve service performance, including related issues such as storage, retrieval and calculation of health big data in the cloud. At the edge, research focuses on the collection, transmission, and computation of health data, including sensors and wearable devices for collecting health data, various sensor networks, and how to process health data and improve service performance at the edge. As an emerging technology, blockchain has a wide range of applications in smart health. We discuss typical smart health application, blockchain in smart health and privacy and security issues related to smart health. Finally, we present challenges and opportunities for smart health in the edge computing era.

Key words: smart health, cloud computing, fog computing, sensor, blockchain, privacy and security, survey

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