Design and realization of a knowledge-based framework for personalized home healthcare systems

This paper proposes an integrated knowledge-based framework to design an intelligent personalized home healthcare system. To support numerous healthcare tasks according to individuals with many personalized services, this system integrates an efficient rule-based inference mechanism and flexible knowledge rules for determining efficiently and rapidly the necessary physiological and medication treatment procedures. Based on several key techniques realization and integration, the proposed system can support the extensible, customizable, and configurable demands of the ubiquitous healthcare systems to meet the different demands of patients and caregivers under various rehabilitation and nursing conditions. Finally, our experimental evaluations show the feasibility and validness of human-system interaction in a home testing environment.

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