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. 2012;12(8):11154-86.
doi: 10.3390/s120811154. Epub 2012 Aug 10.

An intelligent knowledge-based and customizable home care system framework with ubiquitous patient monitoring and alerting techniques

Affiliations

An intelligent knowledge-based and customizable home care system framework with ubiquitous patient monitoring and alerting techniques

Yen-Lin Chen et al. Sensors (Basel). 2012.

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.

Keywords: Healthcare systems; component-based framework; handheld devices; knowledge-based systems; patient monitoring; ubiquitous monitoring.

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Figures

Figure 1.
Figure 1.
Class diagram of the real-time video codec component.
Figure 2.
Figure 2.
Class diagram of the physiological sensing and treatment-monitoring module.
Figure 3.
Figure 3.
Class diagram of the monitoring information transmission module.
Figure 4.
Figure 4.
Class diagram of the remote patient care and monitoring component.
Figure 5.
Figure 5.
Integrated class diagram of the proposed component-based home care system framework.
Figure 6.
Figure 6.
Proposed knowledge-based physiological and homecare monitoring system.
Figure 7.
Figure 7.
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.
Figure 8.
Figure 8.
Prototype system implemented by the proposed intelligent component-based homecare system. (a) Main screen of the prototype homecare system. (b) Operation screen of measuring and viewing the patients' physiological data records.
Figure 9.
Figure 9.
Remote monitoring interfaces on the Web browsers. (a) Main remote monitoring interface on the Web browser. (b) Remote monitoring screen of the detailed physiological data on the Web browser.
Figure 10.
Figure 10.
Remote monitoring interfaces of the handheld devices. (a) Main remote monitoring interface on the handheld device. (b) Example of the patient's physiological warning message shown on the handheld device.
Figure 11.
Figure 11.
Illustrations of the ubiquitous monitoring and alerting of patients' physiological situations scenario.
Figure 12.
Figure 12.
Illustrations of the ubiquitous monitoring and alerting of patients' medication scenario.
Figure 13.
Figure 13.
Illustrations of the ubiquitous video monitoring of patients' care scenario.

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