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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 video monitoring of patients' care scenario.
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f13-sensors-12-11154: Illustrations of the ubiquitous video monitoring of patients' care scenario.

Mentions: Regarding the application scenario shown in Figure 13, the proposed intelligent homecare system can provide physiological states and alarms, as well as offer ubiquitous video-monitoring functions for caregivers to perform immediate cares for patients. Caregivers can view a patient's monitoring videos to understand the patient's body conditions according to his/her appearance, and whether the patient's home care activities are appropriately conducted, to facilitate determining the healthcare and bodily conditions of the patient. In the scenario shown in Figure 13, the patient's physiological measurement sensors of heart rate and blood oxygen values unexpectedly fall, and the caregiver immediately receives the alarm of abnormal cardiorespiratory alarm situation of the patient through the handheld devices. The caregiver can instantaneously view the real-time monitoring videos of the patient's appearance and then determine whether the alarm is caused by the imprecise placements of the patient's physiological measurement modules. Therefore, the caregiver can help the patient restore the physiological sensors and the rehabilitation processes.


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 video monitoring of patients' care scenario.
© Copyright Policy
Related In: Results  -  Collection

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

f13-sensors-12-11154: Illustrations of the ubiquitous video monitoring of patients' care scenario.
Mentions: Regarding the application scenario shown in Figure 13, the proposed intelligent homecare system can provide physiological states and alarms, as well as offer ubiquitous video-monitoring functions for caregivers to perform immediate cares for patients. Caregivers can view a patient's monitoring videos to understand the patient's body conditions according to his/her appearance, and whether the patient's home care activities are appropriately conducted, to facilitate determining the healthcare and bodily conditions of the patient. In the scenario shown in Figure 13, the patient's physiological measurement sensors of heart rate and blood oxygen values unexpectedly fall, and the caregiver immediately receives the alarm of abnormal cardiorespiratory alarm situation of the patient through the handheld devices. The caregiver can instantaneously view the real-time monitoring videos of the patient's appearance and then determine whether the alarm is caused by the imprecise placements of the patient's physiological measurement modules. Therefore, the caregiver can help the patient restore the physiological sensors and the rehabilitation processes.

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