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面向实时医疗监测的自组织对等中间件。

Self-Organizing Peer-To-Peer Middleware for Healthcare Monitoring in Real-Time.

机构信息

School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 702-701, Korea.

Center of Self-Organizing Software-Platform, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 702-701, Korea.

出版信息

Sensors (Basel). 2017 Nov 17;17(11):2650. doi: 10.3390/s17112650.

Abstract

As the number of elderly persons with chronic illnesses increases, a new public infrastructure for their care is becoming increasingly necessary. In particular, technologies that can monitoring bio-signals in real-time have been receiving significant attention. Currently, most healthcare monitoring services are implemented by wireless carrier through centralized servers. These services are vulnerable to data concentration because all data are sent to a remote server. To solve these problems, we propose self-organizing P2P middleware for healthcare monitoring that enables a real-time multi bio-signal streaming without any central server by connecting the caregiver and care recipient. To verify the performance of the proposed middleware, we evaluated the monitoring service matching time based on a monitoring request. We also confirmed that it is possible to provide an effective monitoring service by evaluating the connectivity between Peer-to-Peer and average jitter.

摘要

随着慢性病老年人口的增加,为他们提供护理的新公共基础设施变得越来越必要。特别是能够实时监测生物信号的技术受到了广泛关注。目前,大多数医疗保健监测服务都是通过无线运营商通过集中式服务器来实现的。这些服务容易受到数据集中的影响,因为所有数据都被发送到远程服务器。为了解决这些问题,我们提出了一种用于医疗保健监测的自组织 P2P 中间件,通过连接护理人员和护理对象,可以在没有任何中央服务器的情况下实现实时多生物信号流。为了验证所提出的中间件的性能,我们根据监测请求评估了监测服务匹配时间。我们还通过评估对等点之间的连接性和平均抖动来确认提供有效监测服务的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e3d/5713001/713d1b73d8e2/sensors-17-02650-g001.jpg

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