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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

Illustrations of the ubiquitous monitoring and alerting of patients' physiological situations scenario.
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f11-sensors-12-11154: Illustrations of the ubiquitous monitoring and alerting of patients' physiological situations scenario.

Mentions: The scenario of ubiquitous monitoring and alerting of patients' physiological conditions provided by the proposed intelligent homecare system is shown in Figure 11. Here, the caregiver can set the alerting thresholds for the patient's physiological states, including heart rate, blood pressure, blood oxygen values, breath meters, and ECG data, obtained from the corresponding modules. Once the patient's physiological states encounter any abnormal conditions (such as heart disease, abnormal cardiorespiratory, or body temperature conditions) as determined by the proposed knowledge-based monitoring system, then the caregivers and doctors immediately receive the patient's corresponding alarms, physiological data, and real-time monitoring videos through their handheld devices. As shown in the sample scenario in Figure 11, when the intelligent homecare system detects a patient's heart rate at lower than 60 beats per minute, the caregiver immediately receives the abnormal heart alarm, as well as the patient's heart rate, blood pressure, ECG information, and real-time monitoring videos to perform further diagnosis and care procedures.


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)

Illustrations of the ubiquitous monitoring and alerting of patients' physiological situations scenario.
© Copyright Policy
Related In: Results  -  Collection

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

f11-sensors-12-11154: Illustrations of the ubiquitous monitoring and alerting of patients' physiological situations scenario.
Mentions: The scenario of ubiquitous monitoring and alerting of patients' physiological conditions provided by the proposed intelligent homecare system is shown in Figure 11. Here, the caregiver can set the alerting thresholds for the patient's physiological states, including heart rate, blood pressure, blood oxygen values, breath meters, and ECG data, obtained from the corresponding modules. Once the patient's physiological states encounter any abnormal conditions (such as heart disease, abnormal cardiorespiratory, or body temperature conditions) as determined by the proposed knowledge-based monitoring system, then the caregivers and doctors immediately receive the patient's corresponding alarms, physiological data, and real-time monitoring videos through their handheld devices. As shown in the sample scenario in Figure 11, when the intelligent homecare system detects a patient's heart rate at lower than 60 beats per minute, the caregiver immediately receives the abnormal heart alarm, as well as the patient's heart rate, blood pressure, ECG information, and real-time monitoring videos to perform further diagnosis and care procedures.

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