Department of Computer Science and Information Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei 10608, Taiwan.
Sensors (Basel). 2012;12(8):11154-86. doi: 10.3390/s120811154. Epub 2012 Aug 10.
This study develops and integrates an efficient knowledge-based system and a component-based framework to design an intelligent and flexible home health care system. The proposed knowledge-based system integrates an efficient rule-based reasoning model and flexible knowledge rules for determining efficiently and rapidly the necessary physiological and medication treatment procedures based on software modules, video camera sensors, communication devices, and physiological sensor information. This knowledge-based system offers high flexibility for improving and extending the system further to meet the monitoring demands of new patient and caregiver health care by updating the knowledge rules in the inference mechanism. All of the proposed functional components in this study are reusable, configurable, and extensible for system developers. Based on the experimental results, the proposed intelligent homecare system demonstrates that it can accomplish 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.
本研究开发并整合了一个高效的基于知识的系统和一个基于组件的框架,以设计一个智能且灵活的家庭医疗保健系统。所提出的基于知识的系统集成了一个高效的基于规则的推理模型和灵活的知识规则,以便根据软件模块、摄像头传感器、通信设备和生理传感器信息,快速有效地确定所需的生理和药物治疗程序。这个基于知识的系统提供了高度的灵活性,通过更新推理机制中的知识规则,可以进一步改进和扩展系统,以满足新患者和护理人员医疗保健的监测需求。本研究中提出的所有功能组件都是可重用、可配置和可扩展的,可供系统开发人员使用。基于实验结果,所提出的智能家庭护理系统表明,它可以满足无处不在的医疗保健系统的可扩展、可定制和可配置需求,以满足不同康复和护理条件下患者和护理人员的不同需求。