ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2020, Vol. 57 ›› Issue (1): 53-73.doi: 10.7544/issn1000-1239.2020.20190002

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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).

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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