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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 monitoring information transmission module.
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f3-sensors-12-11154: Class diagram of the monitoring information transmission module.

Mentions: As depicted in the class diagram of the proposed transmission module in Figure 3, three major functions are provided to transmit the patients' monitoring data to caregivers' remote browsers and monitoring devices: (1) transmitting the patients' monitoring video streams; (2) transmitting the patients' physiological data records; (3) transmitting the patients' treatment records; and (4) transmitting the patients' warning statuses. Using the function of transmitting the patients' monitoring video streams, the transmission component transmits the compressed monitoring video bit-streams (which have already been inputted in the video stream buffer using the real-time video codec component) to the remote terminal devices through the Internet or mobile communication network devices through the RTP transmission protocol. Regarding the transmission process applications of the archived patients' physiological data or treatment records, the transmission component first loads the desired patients' physiological data or treatment records from the archive device, and then transmits these records to the remote terminal devices through the Internet or mobile communication network devices through the TCP/IP protocol. Similarly, when caregivers must be informed of patients' warning statuses, using the transmitting function of the transmission component, then the alert notification message is transmitted to the caregivers' remote devices through the Internet or handheld personal communication network devices.


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 monitoring information transmission module.
© Copyright Policy
Related In: Results  -  Collection

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

f3-sensors-12-11154: Class diagram of the monitoring information transmission module.
Mentions: As depicted in the class diagram of the proposed transmission module in Figure 3, three major functions are provided to transmit the patients' monitoring data to caregivers' remote browsers and monitoring devices: (1) transmitting the patients' monitoring video streams; (2) transmitting the patients' physiological data records; (3) transmitting the patients' treatment records; and (4) transmitting the patients' warning statuses. Using the function of transmitting the patients' monitoring video streams, the transmission component transmits the compressed monitoring video bit-streams (which have already been inputted in the video stream buffer using the real-time video codec component) to the remote terminal devices through the Internet or mobile communication network devices through the RTP transmission protocol. Regarding the transmission process applications of the archived patients' physiological data or treatment records, the transmission component first loads the desired patients' physiological data or treatment records from the archive device, and then transmits these records to the remote terminal devices through the Internet or mobile communication network devices through the TCP/IP protocol. Similarly, when caregivers must be informed of patients' warning statuses, using the transmitting function of the transmission component, then the alert notification message is transmitted to the caregivers' remote devices through the Internet or handheld personal communication network devices.

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