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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 remote patient care and monitoring component.
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f4-sensors-12-11154: Class diagram of the remote patient care and monitoring component.

Mentions: The three mentioned components can also be easily distributed for developing remote monitoring applications to be installed and operated on caregivers' remote handheld devices or browsers. Accordingly, the proposed remote patient care and monitoring component primarily provides the required functional interfaces for caregivers to request and retrieve patient-monitoring video streams, physiological data, and treatment records. As illustrated in the class diagram of the remote monitoring component in Figure 4, three major functions are designed for remotely requesting and retrieving the patient's monitoring data through caregivers' remote mobile devices or browsers: (1) remote monitoring of patient videos; (2) remote viewing of patient physiological data records; (3) remote monitoring of patient treatment records; and (4) remote monitoring of patient warning status. Using the remote monitoring function of patient videos, the compressed monitoring video bit-streams, which are transmitted from the main homecare system at a particular patient's home, can be acquired from the Internet or mobile communication network devices via the RTP protocol, and then the video bit-streams can be decompressed and displayed on caregivers' mobile devices or browsers with the client-side real-time video codec component. By contrast, when using the remote monitoring component, patient physiological data records archived in the main homecare system can be retrieved using the remote viewing function of patient physiological data records through network communication devices via the TCP/IP protocol. Accordingly, patient treatment records can be obtained similarly using the remote monitoring function of patient treatment records. The retrieved patients' physiological data and treatment records in XML-archived format are then parsed and displayed on caregivers' mobile devices or browsers using the client-side physiological information and treatment-monitoring component. Moreover, when the main homecare system sends an alert message of a particular patient's warning status to caregivers, by applying the remote monitoring function of the patient's warning status, the remote monitoring component acquires the alert message from network communication devices via the TCP/IP protocol, and then the information of the patient's physiological warning status is displayed on a caregiver's handheld device or browser using the client-side physiological information and treatment-monitoring component.


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 remote patient care and monitoring component.
© Copyright Policy
Related In: Results  -  Collection

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

f4-sensors-12-11154: Class diagram of the remote patient care and monitoring component.
Mentions: The three mentioned components can also be easily distributed for developing remote monitoring applications to be installed and operated on caregivers' remote handheld devices or browsers. Accordingly, the proposed remote patient care and monitoring component primarily provides the required functional interfaces for caregivers to request and retrieve patient-monitoring video streams, physiological data, and treatment records. As illustrated in the class diagram of the remote monitoring component in Figure 4, three major functions are designed for remotely requesting and retrieving the patient's monitoring data through caregivers' remote mobile devices or browsers: (1) remote monitoring of patient videos; (2) remote viewing of patient physiological data records; (3) remote monitoring of patient treatment records; and (4) remote monitoring of patient warning status. Using the remote monitoring function of patient videos, the compressed monitoring video bit-streams, which are transmitted from the main homecare system at a particular patient's home, can be acquired from the Internet or mobile communication network devices via the RTP protocol, and then the video bit-streams can be decompressed and displayed on caregivers' mobile devices or browsers with the client-side real-time video codec component. By contrast, when using the remote monitoring component, patient physiological data records archived in the main homecare system can be retrieved using the remote viewing function of patient physiological data records through network communication devices via the TCP/IP protocol. Accordingly, patient treatment records can be obtained similarly using the remote monitoring function of patient treatment records. The retrieved patients' physiological data and treatment records in XML-archived format are then parsed and displayed on caregivers' mobile devices or browsers using the client-side physiological information and treatment-monitoring component. Moreover, when the main homecare system sends an alert message of a particular patient's warning status to caregivers, by applying the remote monitoring function of the patient's warning status, the remote monitoring component acquires the alert message from network communication devices via the TCP/IP protocol, and then the information of the patient's physiological warning status is displayed on a caregiver's handheld device or browser using the client-side physiological information and treatment-monitoring component.

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