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General Information
    • ISSN: 2382-6185
    • Frequency: Quarterly (2015-2016); semiyearly (Since 2017)
    • DOI: 10.18178/IJKE
    • Editor-in-Chief: Prof. Chen-Huei Chou
    • Executive Editor: Ms. Nina Lee
    • Indexed by: Google Scholar, DOAJ, Engineering & Technology Digital Library, Crossref, ProQuest
    • E-mail: ijke@ejournal.net
Editor-in-chief
Prof. Chen-Huei Chou
College of Charleston, SC, USA
It is my honor to be the editor-in-chief of IJKE. I will do my best to help develop this journal better.
IJKE 2016 Vol.2(1): 68-72 ISSN: 2382-6185
doi: 10.18178/ijke.2016.2.1.055

Knowledge Representation in Noninvasive and Invasive Comprehensive Intelligent Cardiovascular Diseases Diagnosis in e-Home Healthcare

Tai Chun Tang, Mu Bo Chen, Bin Bin Fu, Ming Chui Dong, Zhao Xiong Fang, and Zhen Hua Xiao
Abstract—A cardiovascular diseases (CVDs) knowledge hierarchical representation (KHR) is pioneered to perform noninvasive and invasive comprehensive diagnosis in e-home healthcare, thus to achieve high-precise diagnostic accuracy. The clinical diagnosis actually maps the sampled cardiovascular parameters (CPs) into the relevant CVDs through using medical knowledge and depending on pathological characters of the disease. The CPs include noninvasive physical information such as electrocardiography (ECG), sphygmography (SPG), and heart sound (HS) data as well as invasive chemical information such as blood test parameters (BTPs) data. CVDs are divided into different categories with the allowance of producing new variants. Tackle such complex and diversified data, a frame-based KHR is proposed which represents the CPs, disease categories and their pathological relationships hierarchically. It is noteworthy that such a KHR is suitable to knowledge changes with the re-usable shell design structure. In addition, a versatile KHR inference mechanism (KHR-IM) is introduced to realize this KHR. With such an organic combination of noninvasive and invasive diagnosis, it establishes not only a solid mainstay for realizing more accurately the functionality of entire system, but also provides people with a reliable health monitor and management.

Index Terms—Cardiovascular diseases, cardiovascular parameters, frame-based knowledge hierarchical representation, inference mechanism, noninvasive and invasive comprehensive diagnosis, symptom-disease mapping relationship.

Tai Chun Tang is with the Department of Software Engineering, Faculty of Science and Technology, University of Macau, Macau S.A.R., China (e-mail: tangtai009@163.com).
Mu Bo Chen, Bin Bin Fu, and Ming Chui 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: chenmubocs@gmail.com, ariespleo51@gmail.com, mcdong@umac.mo).
Zhao Xiong Fang and Li Chun Luo are with Shaoshan People’s Hospital, Xiangtan, Hunan, China (e-mail: 522706981@qq.com).

[PDF]

Cite: Tai Chun Tang, Mu Bo Chen, Bin Bin Fu, Ming Chui Dong, Zhao Xiong Fang, and Zhen Hua Xiao, "Knowledge Representation in Noninvasive and Invasive Comprehensive Intelligent Cardiovascular Diseases Diagnosis in e-Home Healthcare," International Journal of Knowledge Engineering vol. 2, no. 1, pp. 68-72, 2016.

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E-mail: ijke@ejournal.net