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).
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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.
