Abstract—With the functions of on-site multi-vital-signs acquisition, real-time transmission, diagnosis and detailed interpretation, an embedded-link e-home healthcare system on mobile devices brings lots of conveniences for prevention and detection of cardiovascular diseases (CVD). Due to the intrinsic source restriction in those devices, a backyard remote uplink, update and synchronize (UUS) system is imperative to manage the uplinked requests from local mobile devices and feedback promptly the update package. To guarantee the efficiency and availability of UUS when facing thousands of concurrent requests and user clients, an intelligent knowledge management system (KMS) becomes the most significant concern. In this paper, a dedicated customized knowledge base (KB) with simplicity, conformity, extensibility, and flexibility is proposed to release the burden on UUS by reduction of unnecessary help requests. In addition, an intelligent KB update scheme with delta-change and master-slave approach is pioneered to perform automatic rules update with minimum dataflow while ensuring the reliability and safety of overall system. Via the constructed KB, an intelligent diagnosis system is implemented to provide detailed diagnostic results as well as comprehensive pathological warning messages.

Index Terms—CVD diagnosis, distributed e-home healthcare, knowledge base design, knowledge management system, rule update.

U. H. Choi, J. L. Ma, R. Guo, and M. C. Dong are with the Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau S.A.R., China (e-mail: mb15509@umac.mo, jimohanqiu @hotmail.com, mb25462@umac.mo, mcdong@umac.mo).

Cite: U-Hou Choi, Jia-Li Ma, Ran Guo, and Ming-Chui Dong, "Intelligent Knowledge Management System for Distributed e-Home Healthcare," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 4, no. 4, pp. 270-274, 2014.