便携式心电检测系统的研究

发布时间：2018-01-13 12:34

本文关键词：便携式心电检测系统的研究　出处：《哈尔滨理工大学》2016年硕士论文　论文类型：学位论文

【摘要】：心血管相关疾病发展较为迅猛,致死致残率很高,使社会的经济发展和人类的健康受到威胁。传统的便携式心电图机硬件负荷大价钱昂贵。本文研究的是一种便携式心电检测系统,是一种将心电信号采集和心电信号滤波处理分开的心电检测系统。本文结合当今市场上主流的Android智能手机,改善传统意义上的便携式心电检测仪器一体机的形式。本文要研究的便携式心电检测系统的硬件部分只负责心电信号的采集,而心电信号的后期处理都通过一部Android智能手机来进行,两者之间的数据传输通过蓝牙来完成。心电信号的采集硬件设计,包括心电采集芯片的选择、主控芯片的选型、蓝牙模块的选择以及电源管理。本文选择的心电采集芯片是ADS1291,主控芯片是STC15L2K56S2,蓝牙模块BMX-03B。设计系统各个部分的电路原理图。心电信号的采集软件部分,主要研究的是心电采集芯片和主控芯片之间的通信方式,及主控芯片与蓝牙之间的通信方式,并给出了流程图及相关重要的代码。STC15L2K56S2与ADS1291之间通过SPI进行通信,STC15L2K56S2与BMX-03B通过UART进行通信。心电信号的数字滤波主要包括基线漂移和肌电干扰的去除。基线漂移的去除采用的算法是全通滤波器减低通滤波器,肌电干扰的去除采用的算法是基于零点极点的整系数低通滤波器。并给出处理后的心电图。本文还研究了心电信号的R波和QRS波检测方法:将处理后的心电信号进行微分,然后去平方,再移动窗口积分,最后阈值比较。根据R波的检测进行计算给出了心率值。本文还进行了漏搏、停搏、心动过速、心动过缓和心率不齐五种心率失常的分析,最后给出了Android系统的流程图。本文研究的系统操作方便不复杂,还有继续升级的空间,能够很好的监测和诊断心血管相关疾病。
[Abstract]:Cardiovascular diseases are developing rapidly and the rate of death and disability is very high. The traditional portable electrocardiograph machine is expensive in hardware load. This paper studies a portable ECG detection system. ECG detection system is a kind of ECG detection system which can separate ECG signal acquisition and ECG filter processing. This paper combines the mainstream Android smart phone in the market today. Improve the traditional portable ECG detection instrument in the form of integrated machine. This paper will study the portable ECG detection system hardware part is only responsible for the acquisition of ECG signals. The post-processing of ECG signal is carried out by a Android smart phone, and the data transmission between them is completed by Bluetooth. The hardware design of ECG signal acquisition. Including the selection of ECG acquisition chip, the selection of main control chip, the selection of Bluetooth module and power management. The ECG acquisition chip selected in this paper is ADS1291. The main control chip is STC15L2K56S2, Bluetooth module BMX-03B.The circuit schematic diagram of each part of the design system and the acquisition software part of ECG signal. The main research is the communication mode between ECG acquisition chip and main control chip, and the communication mode between master control chip and Bluetooth. The flow chart and related important code. STC15L2K56S2 and ADS1291 communication through SPI are given. STC15L2K56S2 and BMX-03B communicate through UART. The digital filtering of ECG signal mainly includes the removal of baseline drift and EMG interference. The algorithm used to remove baseline drift is. Full-pass filter reduced pass filter. The algorithm of EMG interference removal is based on the whole coefficient low-pass filter of 00:00 pole, and the electrocardiogram after processing is given. The detection method of R wave and QRS wave of ECG signal is also studied in this paper. The processed ECG signal is differentiated. Then square, then move window integral, the final threshold comparison. According to R-wave detection to calculate the heart rate value. This paper also carried on the leakage beat, arrest, tachycardia. Finally, the flow chart of Android system is given. The system studied in this paper is easy to operate and not complicated, and there is room for further upgrading. Be able to monitor and diagnose cardiovascular diseases well.
【学位授予单位】：哈尔滨理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TH789

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