Improved Particle Swarm Optimization Algorithm for Android Medical Care IOT using Modified Parameters

被引:55
作者
Sung, Wen-Tsai [1 ]
Chiang, Yen-Chun [1 ]
机构
[1] Natl Chin Yi Univ Technol, Dept Elect Engn, Taiping, Taiwan
关键词
Particle swarm optimization; Data fusion; Android medical care; Internet of things; Wireless sensor network;
D O I
10.1007/s10916-012-9848-9
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
This study examines wireless sensor network with real-time remote identification using the Android study of things (HCIOT) platform in community healthcare. An improved particle swarm optimization (PSO) method is proposed to efficiently enhance physiological multi-sensors data fusion measurement precision in the Internet of Things (IOT) system. Improved PSO (IPSO) includes: inertia weight factor design, shrinkage factor adjustment to allow improved PSO algorithm data fusion performance. The Android platform is employed to build multi-physiological signal processing and timely medical care of things analysis. Wireless sensor network signal transmission and Internet links allow community or family members to have timely medical care network services.
引用
收藏
页码:3755 / 3763
页数:9
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