中国组织工程研究

中国组织工程研究 ›› 2010, Vol. 14 ›› Issue (39): 7350-7352.doi: 10.3969/j.issn.1673-8225.2010.39.031

• 骨与关节图像与影像 bone and joint imaging • 上一篇    下一篇

基于现场可编程门阵列同步心电心音采集系统的设计

聂文仲，黄  华   

  1. 四川大学医学信息工程系，四川省成都市  610065
  • 出版日期:2010-09-24 发布日期:2010-09-24
  • 通讯作者: 黄华，博士，教授，博士生导师，四川大学电气信息学院医学信息工程系，四川省成都市 610065 hhua@scu.edu.cn
  • 作者简介:聂文仲★，男，1986年生，四川省资中县人，汉族，四川大学在读硕士，主要从事医学电子学与智能医学仪器研究。 nievinzhong@163.com

Design of synchronous acquiring system of electrocardiogram and heart sounds based on Field Programmable Gate Array

Nie Wen-zhong, Huang Hua   

  1. Department of Medical Information, Sichuan University, Chengdu  610065, Sichuan Province, China
  • Online:2010-09-24 Published:2010-09-24
  • Contact: Huang Hua, Doctor, Professor, Doctoral supervisor, Department of Medical Information, Sichuan University, Chengdu 610065, Sichuan Province, China hhua@scu.edu.cn
  • About author:Nie Wen-zhong★, Studying for master’s degree, Department of Medical Information, Sichuan University, Chengdu 610065, Sichuan Province, China nievinzhong@163.com

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摘要：

背景：基于现场可编程门阵列的信号处理方法综合了软件算法和专用集成电路的优点，将逐步取代专用集成电路(ASIC)和单片机应用于数字信号处理领域。
目的：介绍一种基于现场可编程门阵列的实时心电、心音同步采集系统设计，实现心电心音采集及其波形在LCD上实时显示，同时通过心音同步播放，提供一种观察心电心音和听诊相结合的诊断方式。
方法：该系统采用内嵌软核的FPGA作为硬件系统的核心，应用硬件描述语言进行了结构化设计，完成对心电心音信号的实时采集、数据处理、数据传送和显示。
结果与结论：与基于单片机的采集系统相比，不仅减少了外围电路复杂度，还提高了系统的集成度和性能。

关键词: 心电, 心音, 现场可编程门阵列(FPGA), 软核, 硬件描述语言

Abstract:

BACKGROUND: Signal processing method based on Field Programmable Gate Array (FPGA) integrates the advantages of Software algorithm and ASIC, applying to digital signal processing field in place of ASIC and microcontroller gradually.
OBJECTIVE: To propose an acquisition system based on FPGA, which can acquire ECG and heart sounds simultaneously, actualize ECG and phonocardiogram to display on LCD in real-time, play heart sounds synchronously to offer a diagnosable method that combined auscultation with check phonocardiogram and ECG.
METHODS: The hardware system with FPGA embedded soft core as the core used the VHDL to realize structured design and completed real-time collection of ECG and heart sounds, data processing, data transfer and display.
RESULTS AND CONCLUSION: Compared with microcontroller-based acquiring system, this system simplifies complexity of peripherals circuit and improves integration and performance of the system.

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