Abstract-With the increase of the aging society worldwide, hospitals, medical practitioners and health insurers are now increasingly seeking ways to reduce the cost of healthcare while maitaining its quality. One solution subject to attention from gouvernement and healthcare providers is the U-Health Smart Home that aims to provide non-intrusive and non-invasive monitoring and assistance to the elderly directly in their own home. At POSTECH, the U-Health Smart Home project is focused on building a smart home along with an autonomic system to monitor the home as well as the inhabitants to provide intelligent support and assistance in any situation at anytime. This paper presents our initial results from this project. The first contribution is a general framework for the U-Health smart home and the second one is an initial semantic model that can be used in the autonomic system to provide autonomic support to the elderly.Keywords-U-health smart home architecture; ontology, semantic web; reasoning I. INTRODUCTIONThe smart home concept was first introduced in the early 1980s as an intelligent building. At that time, the smart home was only designed for user convenience. This meant that the smart home contained several different devices to analyze the current status of the home environment. However, it became very difficult to manage these devices efficiently because each device uses different protocols and data models. A separate, but related concern is developing the role of the computer to help improve one's quality of life.In the last decades, the elderly population has increased significantly and healthcare providers are predicting a possible collapse of the existing healthcare system if no significant actions are taken to develop more cost-effective solutions. A key challenge is to reduce costs with little or no degradation in the quality of service provided to patients. Fortunately, the UHealth Smart home has been identified by many governments as one feasible solution to reduce the cost of healthcare for the elderly, by keeping them in their own home and providing them with "intelligent" technologies to assist them as needed.In this paper, we present some advances that have been achieved at POSTECH (Korea) in building a Smart Home and deploying hardware and software solutions to assist the elderly in their home. The software solution aims at specifying architectures to monitor the elderly using wireless sensor technologies and to control the appliances and other components in smart home components as needed.One aspect that is central to this architecture is the knowledge-based (KB) concept. KB aims at capturing the concepts in a U-Health Smart home that are necessary to develop an autonomic solution to support the elderly. The KB architecture uses semantic web technology to define the meaning of information that is necessary to identify the appropriate action to perform in the U-Health Smart home depending on the user's situation and the context. The aims of the Knowledge Based system are two-fold:1. First, t...
In this paper, we focus on the problem of constructing an information gain model for stroke prevention in Ubiquitous Healthcare (U-Health) Wireless Body Area Networks (WBANs). We have constructed an information-based probabilistic relation model among the key indicators and sequenced their data gathering priority and precedence in the WBAN. Then, we constructed a cost function over the energy expenditure involved in their data gathering, and expressed the relationship between utility gain and energy loss as a constrained optimization problem. We also designed an algorithm to carry out the proposed approach. Through simulation study, we demonstrated the validity of some aspects of the approach.
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