中国组织工程研究 ›› 2011, Vol. 15 ›› Issue (26): 4850-4853.doi: 10.3969/j.issn.1673-8225.2011.26.025

• 数字化骨科 digital orthopedics • 上一篇    下一篇

心内膜三维标测系统的信号处理

陈中中1,朱蛟英1,苏智剑1,夏振宏2   

  1. 1郑州大学机械工程学院,河南省郑州市  450001
    2河南华南医电科技有限公司,河南省郑州市450001
  • 收稿日期:2011-01-19 修回日期:2011-02-18 出版日期:2011-06-25 发布日期:2011-06-25
  • 作者简介:陈中中☆,男,1973年生,河南省洛阳市人,汉族,2005年西安交通大学毕业,博士,副教授,硕士生导师,主要从事反求测量,生物制造技术研究。 zzchen@zzu. edu.cn

Signal processing in endocardial mapping system

Chen Zhong-zhong1, Zhu Jiao-ying1, Su Zhi-jian1, Xia Zhen-hong2   

  1. 1School of Mechanical Engineering, Zhengzhou University, Zhengzhou  450001, Henan Province, China
    2Henan Huanan Medical Science and Technology Co., Ltd., Zhengzhou  450001, Henan Province, China
  • Received:2011-01-19 Revised:2011-02-18 Online:2011-06-25 Published:2011-06-25
  • About author:Chen Zhong-zhong☆, Doctor, Associate professor, Master’s supervisor, School of Mechanical Engineering, Zhengzhou University, Zhengzhou 450001, Henan Province, China zzchen@zzu.edu.cn

摘要:

背景:信号处理是普通导管心内膜三维标测中一项关键技术,需根据其特征设计处理流程,传统处理方法无法消除信号中的大量噪声。
目的:进行心内膜三维标测原理的体外模拟实验及信号处理。
方法:设计专用压控恒流源做电场激励源以降低噪声,并利用MATLAB信号处理功能对数据进行处理,分别采用带通滤波、包络提取、小波降噪、求均值等方法计算出标测距离,并与实际距离进行对比。
结果与结论:该方法有效地降低噪声、直流分量等干扰因素,得到了正确的标测向量,解决了普通导管心内膜三维标测中的信号处理问题,并减小了由呼吸及心跳所引起的定位误差,由此计算所得标测向量误差< 7%。提示此方法可应用于普通导管心内膜三维标测系统的信号处理。

关键词: 心内膜, 标测, 信号处理, 包络检波, 小波降噪

Abstract:

BACKGROUND: Signal processing is one of the key technologies in endocardial mapping by using ordinary catheter, it must be designed base on its characteristics, but, excessive noise can not be eliminated through traditional methods.
OBJECTIVE: To stimulate in vitro experiment and signal processing of endocardial mapping system.
METHODS: Noise was reduced partly by using a developed voltage controlled constant current source device, and then experiment data were processed with digital signal processing tool of MATLAB. The signal processing including bandpass, extract envelope, wavelet denoising and median filtering; finally, distances were calculated and compared with actual values.
RESULTS AND CONCLUSION: It shows that this process effectually reduces external noise and the interference of breath and heartbeat, and the relative error of mapping vectors is less than 7%. It proved that this process can be used in endocardial mapping system.

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