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An intelligent knowledge-based and customizable home care system framework with ubiquitous patient monitoring and alerting techniques.

Chen YL, Chiang HH, Yu CW, Chiang CY, Liu CM, Wang JH - Sensors (Basel) (2012)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Information Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei 10608, Taiwan. ylchen@csie.ntut.edu.tw

ABSTRACT
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.

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Related in: MedlinePlus

Proposed knowledge-based physiological and homecare monitoring system.
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f6-sensors-12-11154: Proposed knowledge-based physiological and homecare monitoring system.

Mentions: The knowledge-based physiological and homecare monitoring system of the proposed homecare framework can monitor and determine patients' physiological situations by interacting with real-time video codec components, physiological sensing and treatment-monitoring modules, monitoring information transmission modules, and remote patient-monitoring components. This knowledge-based system is constructed according to the mentioned modules, a partitioned global data structure, and a rule-based reasoning system, as Figure 6 shows.


An intelligent knowledge-based and customizable home care system framework with ubiquitous patient monitoring and alerting techniques.

Chen YL, Chiang HH, Yu CW, Chiang CY, Liu CM, Wang JH - Sensors (Basel) (2012)

Proposed knowledge-based physiological and homecare monitoring system.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472878&req=5

f6-sensors-12-11154: Proposed knowledge-based physiological and homecare monitoring system.
Mentions: The knowledge-based physiological and homecare monitoring system of the proposed homecare framework can monitor and determine patients' physiological situations by interacting with real-time video codec components, physiological sensing and treatment-monitoring modules, monitoring information transmission modules, and remote patient-monitoring components. This knowledge-based system is constructed according to the mentioned modules, a partitioned global data structure, and a rule-based reasoning system, as Figure 6 shows.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Information Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei 10608, Taiwan. ylchen@csie.ntut.edu.tw

ABSTRACT
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.

Show MeSH
Related in: MedlinePlus