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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

Class diagram of the physiological sensing and treatment-monitoring module.
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f2-sensors-12-11154: Class diagram of the physiological sensing and treatment-monitoring module.

Mentions: Regarding the class diagram in Figure 2, the physiological sensing and treatment-monitoring module provides a set of crucial functions and three software interfaces for recording, monitoring, and alerting caregivers on patient physiological statuses and treatment processes according to the determination of the knowledge-based system: (1) physiological data input; (2) physiological data input/output; and (3) physiological and treatment display. The physiological data input interface supplies the functions for acquiring the patients' physiological data from domestic physiological measurement devices. Using the physiological data input/output interface, the acquired patient physiological data and treatment records of rehabilitations can be recorded in XML-formatted documents with timestamps. These data records can be stored in file archives (such as hard disks) or transmitted to communication devices for caregivers' remote observation through cooperated correspondence with the monitoring information transmission module. The archived patients' physiological data and treatment records can also be retrieved and observed by caregivers through the local server-side archives, as well as remote handheld devices or Web browsers.


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)

Class diagram of the physiological sensing and treatment-monitoring module.
© Copyright Policy
Related In: Results  -  Collection

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

f2-sensors-12-11154: Class diagram of the physiological sensing and treatment-monitoring module.
Mentions: Regarding the class diagram in Figure 2, the physiological sensing and treatment-monitoring module provides a set of crucial functions and three software interfaces for recording, monitoring, and alerting caregivers on patient physiological statuses and treatment processes according to the determination of the knowledge-based system: (1) physiological data input; (2) physiological data input/output; and (3) physiological and treatment display. The physiological data input interface supplies the functions for acquiring the patients' physiological data from domestic physiological measurement devices. Using the physiological data input/output interface, the acquired patient physiological data and treatment records of rehabilitations can be recorded in XML-formatted documents with timestamps. These data records can be stored in file archives (such as hard disks) or transmitted to communication devices for caregivers' remote observation through cooperated correspondence with the monitoring information transmission module. The archived patients' physiological data and treatment records can also be retrieved and observed by caregivers through the local server-side archives, as well as remote handheld devices or Web browsers.

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