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

Authors:
Wen-Tsai Sung;Yen-Chun Chiang
Affiliations:
Department of Electrical Engineering, National Chin-Yi University of Technology, Taiwan, Taichung, Taiwan 41170;Department of Electrical Engineering, National Chin-Yi University of Technology, Taiwan, Taichung, Taiwan 41170
Venue:
Journal of Medical Systems
Year:
2012

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Abstract

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.