Abstract

The purpose of this study is to achieve large-scale real-time acquisition and monitoring of the patient’s body temperature, for noticing abnormal phenomenon of temperature in time. In the ward, arrange ZigBee wireless temperature monitoring network, realize the ward patients temperature measurement and gathering of temperature related clinical data, achieve the temperature monitoring network through the serial RS232 and PC communication, and PC receives, displays, and processes the data through the serial port. The results showed that the system can also realize the acquisition, transmission and monitoring of a plurality of temperature signals, and send out the alarm in abnormal temperature. As a result, the system can be widely used in clinical measurement, suitable for popularization in large hospital with a large number of patients

Highlights

  • Body temperature plays an important role in patient care and clinical diagnosis

  • Medical staffs measure the temperature every day in certain time one by one through the traditional mercury thermometer. This cannot achieve large-scale measurement, and cannot be real-time monitoring of temperature changes of patients, and cannot find the abnormal in time, so it may lead to that the patients miss the best timing of treatment, while frequent contact, for infectious diseases, is easy to cause the medical staff infection, and spends a lot of manpower [1]

  • Set wireless temperature monitoring network based on ZigBee technology in each ward building, and clinical patients use mobile temperature terminal node for the measurement of body temperature

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Summary

Introduction

Temperature monitoring of patients is mainly the artificial timing measurement method. Medical staffs measure the temperature every day in certain time one by one through the traditional mercury thermometer. This cannot achieve large-scale measurement, and cannot be real-time monitoring of temperature changes of patients, and cannot find the abnormal in time, so it may lead to that the patients miss the best timing of treatment, while frequent contact, for infectious diseases, is easy to cause the medical staff infection, and spends a lot of manpower [1]. It is necessary to realize the large-scale real-time monitoring of patients, without the need for frequent contact measurement. Wireless sensor network is used in the field of human physiological parameters monitoring with its own characteristics

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