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基于AD8232的心电实时监测及分析系统设计 被引量:7

Development of a Real—time ECG Monitoring and Analysis System Based on AD8232
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摘要 为了方便对患者心电信号进行实时监测,实现对心脏疾病的及时预防及诊断,利用一款基于ATmega328p微控制器的Arduino开发板、一块心电监测前端模块AD8232及上位机软件LabVIEW开发出一套心电实时监测系统,并利用LabVIEW设计出多种软件滤波方法来抑制心电信号中的噪声;由于心电信号的时频特性能提供反映患者心脏活动动态行为的信息,该系统还包括基于LabVIEW设计出的多种用于心电信号实时分析的程序,使被试心电信号所包含的生理特性能够及时地被分析出来;利用所开发的心电实时监测分析系统对被试的心电信号进行采集和分析,发现系统能够非常灵敏、准确地检测心电信号,并对信号噪声有着很好的抑制能力;此外系统能够对信号进行各式的实时分析,且分析结果可靠,能够运用于临床诊断;利用该系统对心电信号进行实时采集和分析,其测量结果准确、去噪效果良好、分析结果可靠,为今后心电实时监测分析系统的设计提供了借鉴。 This paper presents a low-cost, precise and reliable real-time ECG monitoring and analysis system for the real-time ECG signals acquisition to realize the prediction and diagnosis of heart diseases. This system is designed by using a signal disposal module AD8232, an Arduino UNO board based on ATmega328p microcontroller and the PC software LabVIEW. The windowed FIR filter and wavelet denoise module are designed for the preprocess of the extracted signals. Since time and frequency characteristics of the ECG signals can provide infor- mation on the dynamic behavior of the patient's heart activity, a variety of programs used for ECG signal analysis are designed, such as the Spectrum Analysis and Heart Rate Variability (HRV) analysis. The developed system is able to conduct real-time analysis on the measured ECG signals. The physiological characteristics contained in the ECG signals of patients can be measured accurately and the interference sig nals can be filtered very well. This system can also perform various kinds of analysis and the analysis results are reliable enough to be used in the clinical diagnosis. Being able to measure and analyze signals accurately and filter the noise well, this ECG real-time measuring and anal ysis system is of great values for the future development of ECG monitors.
作者 陈嘉绪 周颖
出处 《计算机测量与控制》 2017年第2期26-31,共6页 Computer Measurement &Control
基金 上海理工大学2016年度教师教育发展研究项目(CFTD16034Y CFTD16037Y) 2015 2016年度"精品本科"教学改革项目 2016年度上海理工大学研究生<生物力学>翻转课程项目
关键词 心电信号 实时监测 实时分析 软件滤波 ECG signals real- time monitoring real- time analysis software filter
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