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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 real-time video codec component.
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f1-sensors-12-11154: Class diagram of the real-time video codec component.

Mentions: As illustrated in the UML class diagram of the proposed video codec component in Figure 1, three major software interfaces were implemented for conveniently supporting the functions of recording and retrieving patient monitoring videos: (1) video frame input; (2) compressed video bit-stream input/output; and (3) video frame display. First, the video frame input interface should provide functions acquiring video frames from the camera sensors mounted in monitoring regions, as well as compressing the acquired video frames into bit-streams. The compressed video bit-stream input/output interface provides a set of functions for storing and loading compressed monitoring video bit-streams into file archives (such as hard disks and cloud storages) and transmits and receives compressed video bit-streams from file archives or remote network transmission devices (such as Internet and mobile communication networks) by correspondence with the monitoring information transmission module. Accordingly, using a video frame display interface, the archived or remotely transmitted compressed video bit-streams can be decompressed and retrieved using the display devices of the local server-side system, client-side handheld devices, or Web browsers; thus, from anywhere at any time, caregivers can ubiquitously monitor the patient's care activities and behaviors using various remote devices from different places.


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 real-time video codec component.
© Copyright Policy
Related In: Results  -  Collection

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

f1-sensors-12-11154: Class diagram of the real-time video codec component.
Mentions: As illustrated in the UML class diagram of the proposed video codec component in Figure 1, three major software interfaces were implemented for conveniently supporting the functions of recording and retrieving patient monitoring videos: (1) video frame input; (2) compressed video bit-stream input/output; and (3) video frame display. First, the video frame input interface should provide functions acquiring video frames from the camera sensors mounted in monitoring regions, as well as compressing the acquired video frames into bit-streams. The compressed video bit-stream input/output interface provides a set of functions for storing and loading compressed monitoring video bit-streams into file archives (such as hard disks and cloud storages) and transmits and receives compressed video bit-streams from file archives or remote network transmission devices (such as Internet and mobile communication networks) by correspondence with the monitoring information transmission module. Accordingly, using a video frame display interface, the archived or remotely transmitted compressed video bit-streams can be decompressed and retrieved using the display devices of the local server-side system, client-side handheld devices, or Web browsers; thus, from anywhere at any time, caregivers can ubiquitously monitor the patient's care activities and behaviors using various remote devices from different places.

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