基于SOPC/NiosⅡ的心音信号特征提取与记录系统

Feature detection and record system based on SOPC/NiosⅡfor heart sound

摘要:

心音信号是衡量人体心脏状态的一个重要生物信息,对于心音信号的特征提取有着积极的医学意义。本文设计了一种基于SOPC/NiosⅡ的心音信号特征提取与记录系统,系统硬件由预处理模块、AD转换模块、显示与传输模块等构成。在FPGA芯片上构建SOPC系统,使用NiosⅡ软核对心音信号数据进行计算分析,提取特征信息。实验结果表明：系统能够很好的采集病人的心音,能够将心音信号进行经验模态分解,并能得到其频谱图和短时平均能量图。同时将数据进行无线传输,使得医护人员可以远程监控病人的心脏状态。

Abstract:

_{Heart sound is an important biological information to measure the state of heart. The feature detection of heart sound has a positive meaning in the medicine science.A feature detection and record system based on SOPC/NiosⅡ for heart sound is designed. The hardware of system is consisted of preprocessing module, AD convert module, display and transmits module and etc. The SOPC system was build on the FPGA chip. It uses the NiosⅡsoft kernel to compute and analyze the data of heart sound, then the features of heart sound were extracted. Experimental results show that the system can gather the patient’s heart sounds well, it can decompose the heart sound by the EMD (Empirical Mode Decomposition). And the frequency spectrogram and the figure of short-time average energy were showed at the same time. The system can send the data through the wireless network. The healthcare workers can remote monitor the heart state of the patient.}