【作者】 胡玥；

【导师】 万红；

【作者基本信息】 郑州大学 ， 检测技术与自动化装置， 2010， 硕士

【摘要】 由于生活水平的提高,近年来对居民的医疗保障关注程度也在加强,特别是对于医疗设施水平的要求也越来越高。作为诊断心血管疾病的主要依据心电信号的实时监测,也是近年来国内外关注的焦点。心血管疾病患者一旦犯病很快就会危及生命,所以必须要有一种系统能够及时的将患者的病情反馈到医院,让患者能得到及时的救治。因此,研究远程心电监护系统是十分有意义的。本文针对患者随身携带的心电监护器采用了无线通信来实现心电信号的远距离传输,由于在线监测的数据量大,须首先提取异常数据,以便上传分析。该系统主要是围绕心电信号的去噪和特征提取等问题进行深入分析,同时根据心电信号的特点选择了小波分析理论对心电信号进行处理,完成异常信号的提取。在用小波对信号进行去噪的过程中,本文选用了二次样条小波作为小波基函数,对三种主要噪声本文采用一种改进的软、硬阈值折中的方法去处肌电干扰和工频干扰,经过仿真实验,效果良好。在心电信号的特征提取中,本文分别检测出P波、T波和QRS波的起点终点,并分别做了仿真,效果理想。特别是对R波峰值的的检测,本文采用了R波快速检测方法,R波峰值的检测效果明显提高,对于S-T波特征参数的提取利用J+X法检测特征点,为后期疾病的诊断提供重要的依据。最后本文对远程心电系统进行了设计。选择了无线通信来实现远程心电监控系统,然后以Visual Studio 2005为开发平台,以SQL server 2000为后台数据库,实现了该监控软件。更多还原

【Abstract】 As living standards improving, the degree of concern for people’s health care has also been strengthened in recent years, particularly the demands for medical facilities level are also increasing. The extraction of ECG,which is the main basis for diagnosis of cardiovascular disease, is also the focus of attention at home and abroad in recent years. As the ECG signal is weak and are vulnerable to noise, the extraction becomes more difficult, what is more, long-distance transmission has higher demands for getting rid of the noise.’However, once someone falls ill with heart disease,his life will soon be threatened. As a result, there is necessary to be a system to timely feedback the condition of patients to the hospital, then patients can receive timely treatment. Therefore, it is very meaningful to study remote ECG monitoring system.This paper mainly uses a wireless communication to achieve long distance transmission of ECG preparing for the diagnosis behind. The system is mainly doing in-depth analysis around the problems such as the ECG Denoising, feature extraction and so on. In addition, according to ECG characteristics the wavelet analysis theory is chosen to process the ECG signal, which is the main task of the system.In the process of signal denoising by using wavelet, the quadratic spline wavelet is chosen as wavelet basis function. In order to eliminate the three major noise in this paper, such as EMG interference and Power-line interference and so on, an improved compromise of hard and soft threshold method is applied. And the result of the simulation is good.In the progress of ECG feature extraction, this paper make presentation separately of the detetion of P wave, T wave and the start/end of QRS wave and make simulation separately, the results of which are satisfactory. In particular, to dtecte of wave peak, this paper applies the combination of the wavelet analysis and variable threshold method. The detection effect of the wave peak is improved obviously. As to extract the characteristic parameters of S-T wave, the J+X method is adopted to detect the feature points, to provide important evidence for the late diagnosis of the disease. Finally, the remote ECG system is designed. The wireless communication is chosen to achieve the long-range ECG monitoring system, which is achieved through Visual Studio 2005, SQL server 2000 as the background database.更多还原