基于GPRS的远程实时心电监测系统研究

发布时间：2018-05-17 13:48

本文选题：GPRS + 心电　；参考：《山东大学》2012年硕士论文

【摘要】：随着社会的发展,人们对自身健康开始越来越关注,各种老年患者、慢性病、急症患者,都需要一种可以持续监测患者重要生理参数信息,随时随地进行医患交流的平台。随着现代通信技术的发展,特别是移动通信以及互联网技术的普及,远程心电监护已经开始展现越来越强大的吸引力。面向家庭和个人,而又能及时与医院进行信息沟通和交流,以预防和诊断为主的心电监护系统具有很强的现实意义。本文在实验室项目基础上研究和设计了一套基于GPRS的远程实时心电检测系统。本系统可以将心电监护终端设备用户信息和实时采集到的心电数据通过GPRS网络传输到监护中心工作站,通过监护中心分析和管理采集到的心电数据,辅助医生对患者当前心脏功能状态进行监控和分析。本文中完成的主要工作：首先,本文介绍了远程心电监护的研究背景和意义,综述了当前远程心电监护的现状。给出了本系统的总体构架思想和组成模块。第二,分析利用GPRS方式进行短信息发送和无线数据传输过程中协议的实现原理,制定了心电数据无线传输的编码格式,完成用户数据和心电波形数据无线传输,实现用户终端和监护中心之间的可靠数据通信。第三,完成监护中心工作站的设计与开发。实现监护中心四个基本模块：数据收发,用户工作界面,心电自动分析和心电数据管理。第四,采用小波分析的方法对接收到的心电数据进行去噪处理和特征提取。去噪小波基采用Daubechies小波,通过小波分解重构法,对噪声所在尺度小波系数进行软阈值去噪,实现噪声和漂移的去除。心电波形的特征提取,通过不同尺度Mexican-Hat小波分解方法对R波和Q波、S波、QRS起始位置以及P波、T波进行定位。并通过MIT-BIH实际测试,结果表明识别定位算法效果良好,基本达到设计要求。最后,对论文所做的工作进行系统总结,指出了下一步的研究方向。
[Abstract]:With the development of society, people begin to pay more and more attention to their own health. All kinds of elderly patients, chronic diseases and emergency patients need a kind of platform which can continuously monitor the important physiological parameters of patients and communicate between doctors and patients anytime and anywhere. With the development of modern communication technology, especially the popularity of mobile communication and Internet technology, remote ECG monitoring has begun to show more and more powerful attraction. The ECG monitoring system which is oriented to families and individuals and can communicate and communicate with hospitals in time is of great practical significance. In this paper, a remote real-time ECG detection system based on GPRS is studied and designed on the basis of laboratory project. The system can transmit the user information of ECG monitoring terminal equipment and the ECG data collected in real time to the monitoring center workstation through the GPRS network, and analyze and manage the collected ECG data through the monitoring center. Assist the physician to monitor and analyze the current state of the patient's heart function. The main work accomplished in this paper is as follows: Firstly, this paper introduces the research background and significance of remote ECG monitoring, and summarizes the current situation of remote ECG monitoring. The overall framework and module of the system are given. Secondly, the realization principle of short message transmission and wireless data transmission using GPRS is analyzed, and the coding format of wireless transmission of ECG data is established to complete wireless transmission of user data and ECG waveform data. The reliable data communication between user terminal and monitoring center is realized. Third, complete the design and development of the monitoring center workstation. The realization of four basic modules of monitoring center: data transceiver, user interface, ECG automatic analysis and ECG data management. Fourthly, the received ECG data are de-noised and feature extracted by wavelet analysis. The wavelet basis of denoising is based on Daubechies wavelet. The wavelet coefficients of the scale of noise are de-noised by soft threshold through wavelet decomposition and reconstruction method, and the noise and drift are removed. The characteristic of ECG waveform is extracted, and the initial position of R wave and Q wave S wave and P wave T wave are located by Mexican-Hat wavelet decomposition with different scales. The results of MIT-BIH test show that the algorithm is effective and meets the design requirements. Finally, the work done in this paper is systematically summarized, and the next research direction is pointed out.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：R318.6

【引证文献】