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An Iot Based Multi-parameter Data Acquisition System For Efficient Bio-tele Monitoring Of Pregnant Women At Home
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To protect the health of pregnant women is an important public healthcare issue in many countries, which accelerates many studies on a healthcare system that can, whenever and wherever, extract and process patient data. A pregnant women conducts self-management in an out-of-hospital environment, particularly in an at-home environment, so it is important to provide integrated and personalized healthcare services for effective care. To help provide effective care for pregnant women, we propose a service flow and a new model for personalized healthcare system architecture supporting both at-home and at-hospital environments. The system considers the different characteristics of at-hospital and at-home environments, and it provides various care services. A prototype implementation and a predicted cost model are provided to show the effectiveness of the system. The proposed personalized healthcare system can support cost-effective disease care in an at-hospital environment and personalized self-management of chronic disease in an at-home environment. By this we can reduce the death rate of both pregnant women and child also.
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