| Summary: | 碩士 === 臺中健康暨管理學院 === 資訊科學與應用學系碩士班 === 93 === The population of elders has been growing fast in recent years. Therefore, relevant issues of the elders’ healthcare are aroused and stressed. With the advances in computer and network technologies, the real-time tele-healthcare through internet will be possible in the near future. By transmitting vital signs through internet, the elders can be cared at home. It carries out long-term and unaware health monitoring. For long-term health monitoring, the health ranges of the vital signs may be larger than the predefined normal ranges due to activities. For this reason, this research proposes a tele-healthcare system with learning abilities to learn the class diagram of vital signs for each elder by the K-means algorithm and self-organizing map. Then the doctors or healthcarers ask the elder what activities were done for each class of vital signs. The purpose is to estimate the daily normal health range of the elder. After the learning process, when the healthcare system receives the elder’s signals beyond the learned normal range, it calls the healthcarers to care the elder. Hence distant healthcare can be achieved. Experimental results show the feasibility of the proposed method.
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