Abstract
With the continuous improvement of human living conditions and the aggravation of global aging level, chronic diseases such as hypertension and diabetes continue to plague human health. Chronic diseases have long duration, difficulty in treatment and high cost. Research on an effective intelligent system to prevent, recognize and control this kind of disease becomes an effective means to fight against this kind of disease. This paper takes chronic diseases as the research object, and proposes a design of intelligent medical system for chronic diseases based on semantic matching by the adaptation of ZigBee technology in the front-end data acquisition. Through the ZigBee wireless sensor network, this system sends the physiological parameters collected by various medical sensors to the intelligent medical system, and innovatively proposes semantic matching algorithm to solve the queuing problem of data transmission, to ensure the accuracy of data transmission. This system employs the improved spatial vector model to process the data uploaded, and uses AES encryption algorithm in the process of data transmission to ensure the security of data transmission. The realization of the intelligent system provides a scientific means of disease management for chronic disease patients, and realizes the effective management of chronic disease, which meets the design requirements and receives great patients’ evaluation.
Highlights
From 1990 to 2017, the morbidity of chronic diseases with high incidence in China had been increasing continuously [1]
There are some defects of the current WITMED (Wise Information Technology of med) system as follows: (1) The inadequate reliability of data transmission
Based on ZigBee technology, a design of intelligent medical system based on semantic matching is proposed. 3.1
Summary
From 1990 to 2017, the morbidity of chronic diseases with high incidence in China had been increasing continuously [1]. The main way of chronic disease prevention and treatment is to go to hospitals for regular test, and get the treatment on the basis of the corresponding physical data. This passive recording method greatly raises the economic cost and time cost of patients with chronic diseases. It will cause many problems: firstly, it is unable to check the patient's continuous vital signs data; secondly, it is impossible for patients to get their own condition on time; thirdly, it is liable to doctors’ misjudgment. It is of great significance to develop an intelligent data analysis platform to record, store, and share and handle various personal health signs in time through wireless transmission
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