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Personal Home Healthcare System for the Cardiac Patient of Smart City Using Fuzzy Logic

Aamir Hussain 1, Rao Wenbi 1, Zheng Xiaosong 1, Wang Hongyang 1, and Aristides Lopes da Silva2
1. School of Computer Science and Technology, Wuhan University of Technology, China
2. Department of Science and Technology, University of Cape Verde
Abstract—Home based health care system is increasing trendd in smart cities. The timely availability if information about health status of chronic heart disease patients can play a significant role in decision making about diagnosis and needed treatment in real time. Fuzzy logic has proved to be the remarkable tool for building intelligent decision making systems based on the healthcare practioners’s knowledge and observations. This paper proposes a fuzzy logic based home healthcare system for the chronic heart disease patients (in stable conditions) for out-of-hospital follow-up and monitoring. The proposed system can provide an innovative, timely resource and a supplement for the existing healthcare systems helping practioners’s to treat efficiently to cardiac patients who lived alone at their homes. Additionally our model is anticipated to be cost effective, smarter and result oriented with compare to other prevailing traditional methods. An analysis of structure and evaluation of the system performance is presented along with the potential applicability in real world system development.

Index Terms—heart, fuzzy logic, home healthcare, Internet of things

Cite: Aamir Hussain, Rao Wenbi, Zheng Xiaosong, Wang Hongyang, and Aristides Lopes da Silva, "Personal Home Healthcare System for the Cardiac Patient of Smart City Using Fuzzy Logic," Vol. 7, No. 1, pp. 58-64, February, 2016. doi: 10.12720/jait.7.1.58-64
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