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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

Embedded platform and physiological sensor modules of the proposed homecare system. (a) ECG sensor module. (b) Breath meter sensing module. (c) Blood oxygen sensor module. (d) Blood pressure sensor module.
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f7-sensors-12-11154: Embedded platform and physiological sensor modules of the proposed homecare system. (a) ECG sensor module. (b) Breath meter sensing module. (c) Blood oxygen sensor module. (d) Blood pressure sensor module.

Mentions: The prototype home healthcare system, as shown in Figures 7–10, was implemented based on the proposed intelligent knowledge-based system module and the component-based framework with integration of the real-time video codec components, physiological information and treatment-monitoring component, monitoring information transmission module, and remote patient-monitoring components. This prototype implementation of the home healthcare system integrated four CCD cameras to facilitate the monitoring of four separate video-monitoring settings, measuring patient physiological data (such as body temperature, heart rate, blood pressure, blood oxygen values, breath meters, and ECGs) using measurement devices, and transmitting the videos, physiological data, treatment records, and warning messages to wireless and handheld 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)

Embedded platform and physiological sensor modules of the proposed homecare system. (a) ECG sensor module. (b) Breath meter sensing module. (c) Blood oxygen sensor module. (d) Blood pressure sensor module.
© Copyright Policy
Related In: Results  -  Collection

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

f7-sensors-12-11154: Embedded platform and physiological sensor modules of the proposed homecare system. (a) ECG sensor module. (b) Breath meter sensing module. (c) Blood oxygen sensor module. (d) Blood pressure sensor module.
Mentions: The prototype home healthcare system, as shown in Figures 7–10, was implemented based on the proposed intelligent knowledge-based system module and the component-based framework with integration of the real-time video codec components, physiological information and treatment-monitoring component, monitoring information transmission module, and remote patient-monitoring components. This prototype implementation of the home healthcare system integrated four CCD cameras to facilitate the monitoring of four separate video-monitoring settings, measuring patient physiological data (such as body temperature, heart rate, blood pressure, blood oxygen values, breath meters, and ECGs) using measurement devices, and transmitting the videos, physiological data, treatment records, and warning messages to wireless and handheld 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