基于AD8232的心电实时监测及分析系统设计 |
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引用本文: | 陈嘉绪,周颖. 基于AD8232的心电实时监测及分析系统设计[J]. 计算机测量与控制, 2017, 25(2): 4-4 |
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作者姓名: | 陈嘉绪 周颖 |
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作者单位: | 上海理工大学 医疗器械与食品学院,上海理工大学 医疗器械与食品学院 |
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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。
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关 键 词: | 心电信号 实时监测 实时分析 软件滤波 |
收稿时间: | 2016-08-14 |
修稿时间: | 2016-09-19 |
Development of a Real-time ECG Monitoring andAnalysis System based on AD8232 |
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Abstract: | Objections To develop 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. Methods This system is designed 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 signal can provide information 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. Results 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 signals 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. Conclusion Being able to measure and analyze signals accurately and filter the noise well, this ECG real-time measuring and analysis system is of great values for the future development of ECG monitors. |
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Keywords: | ECG signals real-time monitoring real-time analysis software filter |
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