计算机科学 ›› 2022, Vol. 49 ›› Issue (6A): 39-43.doi: 10.11896/jsjkx.210300230

• 智慧医疗 • 上一篇    下一篇

医疗CPS协作网络控制策略优化

刘丽1, 李仁发2   

  1. 1 中南大学湘雅三医院 长沙 410013
    2 湖南大学信息科学与工程学院 长沙 410082
  • 出版日期:2022-06-10 发布日期:2022-06-08
  • 通讯作者: 李仁发(lirenfa@hnu.edu.cn)
  • 作者简介:(zgnudtll@sohu.com)
  • 基金资助:
    国家自然科学基金重点项目(61932010)

Control Strategy Optimization of Medical CPS Cooperative Network

LIU Li1, LI Ren-fa2   

  1. 1 The Third Xiangya Hospital,Central South University,Changsha 410013,China
    2 School of Computer Science and Electronic Engineering,Hunan University,Changsha 410082,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:LIU Li,born in 1980,Ph.D,engineer,is a student member of China Computer Federation.Her main research interests include medical information,machine learning and embedded systems.
    LI Ren-fa,born in 1956,Ph.D,professor,Ph.D supervisor,is a member China Computer Federation.His main research interests include computer architectures,embedded computing systems cyber-physical systems and Internet of things.
  • Supported by:
    National Natural Science Foundation of China(61932010).

摘要: 医院的信息化建设已经进入了智能化时代,越来越多的医疗CPS(Cyber Physical Systems)在医院实践并应用。然而,医学学科的细化和医院知识库的缺乏,会导致医疗CPS在多并发症疾病治疗应用上的可靠性不足。文中提出了一种医疗CPS协作架构,以提高医疗CPS的决策可靠性。CPS通过协作平台向网络上的智能单元发送协作任务,响应的智能单元共同辅助CPS进行医疗决策。由于患者的生理数据是连续动态的,且医疗CPS对响应的及时性要求较高,文中进一步优化了协作网络的控制策略来提高网络通信效率,分别提出了CCD算法和HCD算法用于高级控制器和低级控制器的部署。最后,实验模拟两种算法并与K-means算法进行了指标对比,结果表明HCD算法在牺牲较少平均通信时延的情况下,大幅度提升了低级控制器的负载均衡。CCD算法更适合聚类节点少的高级控制器部署,对目标函数的优化效果明显优于HCD算法和K-means算法。

关键词: 聚类, 网络控制, 协作, 信息物理系统, 医疗

Abstract: The information construction of hospitals has entered the intelligent era,more and more medical cyber physical systems(CPS) have been applied in hospitals.However,in the complication disease treatment scenario,medical CPS are not reliable enough because of the specialization of medical disciplines and the lack of medical knowledge base.In this paper,a collaborative architecture of medical CPS is proposed to improve the decision reliability of medical CPS.On the collaboration platform,CPS send cooperative tasks to intelligent units on the network,and the intelligent units assist CPS to make medical decisions together.In this paper,the control strategy of the cooperative network is optimized to improve the network communication efficiency because the physiological data of patients are continuous dynamic data and medical CPS have a high requirement on the timeliness of response.CCD and HCD algorithms are proposed respectively for the deployment of high-level controller and low-level controller.Finally,two algorithms are simulated and compared with K-means algorithm.The results show that HCD algorithm greatly improves the load balancing of low-level controllers at the expense of less average communication delay.CCD algorithm is more suita-ble for advanced controller deployment with fewer cluster nodes,and its optimization effect on objective function is obviously better than that of HCD algorithm and K-means algorithm.

Key words: Cluster, Collaboration, Cyber physical systems, Medical, Network control

中图分类号: 

  • TP399
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