Detection of bio-impedance gastric motility signal based on independent component analysis

DENG Ke1; JIANG Xiang-lin2

doi:10.13873/j.1000-97872010.06.016

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Detection of bio-impedance gastric motility signal based on independent component analysis

更新时间：2025-09-11

- Detection of bio-impedance gastric motility signal based on independent component analysis
- Vol. 29, Issue 6, Pages: 124-127(2010)
- 作者机构：
  
  1. 重庆医科大学计算机实验室
  2. 重庆邮电大学生物医学工程研究中心
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872010.06.016
  CLC： TN911.23
- Published：2010
- 稿件说明：
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[1]邓可,蒋祥林.基于独立分量分析的胃动力信号检测[J].传感器与微系统,2010,29(06):124-127.

DENG Ke1, JIANG Xiang-lin2. Detection of bio-impedance gastric motility signal based on independent component analysis[J]. 2010, 29(6): 124-127.
[1]邓可,蒋祥林.基于独立分量分析的胃动力信号检测[J].传感器与微系统,2010,29(06):124-127. DOI： 10.13873/j.1000-97872010.06.016.

DENG Ke1, JIANG Xiang-lin2. Detection of bio-impedance gastric motility signal based on independent component analysis[J]. 2010, 29(6): 124-127. DOI： 10.13873/j.1000-97872010.06.016.

摘要

为消除多通道体表胃动力阻抗信号采集时形成的混叠现象

研究基于独立分量提取胃运动信息的新方法。开发四通道的胃动力检测系统

并进行健康人体胃动力阻抗信号采集实验。将获得的原始胃阻抗信号采用FastICA算法实施盲分离

分析分离的独立源成分

并对分离的胃运动独立源成分进行频谱特征分析。应用独立成分分析可以有效消除叠加到阻抗信号中的背景噪声干扰

提取到胃运动源信号。研究表明:独立分量分析用于多通道胃动力信号的盲分离是有效的。FastICA算法原理简单、收敛速度快、去噪效果明显

能有效地应用于胃动力阻抗信号的检测。

Abstract

In order to eliminate the signal aliasing formed during the process of multi-channel surface gastric motility impedance signal acquisition

a new way which extracted gastric motility information based on independent component is studied.Four-channel detection gastric motility system is designed and gastric motility impedance information acquisition experiments of healthy volunteers is conducted.FastICA algorithm is used to implementation blind source separation for the original gastric impedance signal

the separation independent source component is analyzed

and spectrum characteristics analysis to the separation gastric motility independent source component is conducted.Application of independent component analysis can effectively eliminate the background noise added to the impedance signal

and extract gastric motility source signal.The results show that the method is very effective for multi-channel gastric motility signal blind separation.The principle of FastICA algorithm is simple

convergence speed is fast

de-noising effect is obvious

and can be effectively applied to gastric motility impedance signal detection.

关键词

Keywords

references

基于超声定位的胃动力检测系统的设计 [J]. 邓可,蒋祥林,胡娜,徐追,李章勇. 中国医学物理学杂志 . 2009(01)

基于小波变换和独立分量分析的含噪混叠语音盲分离 [J]. 赵彩华,刘琚,孙建德,闫华. 电子与信息学报 . 2006(09)

一种改进的快速独立分量分析算法及其在图象分离中的应用 [J]. 曾生根,朱宁波,包晔,夏德深. 中国图象图形学报 . 2003(10)

生物电阻抗特征参数提取方法及测量系统的研究 [J]. 马岚,杨玉星. 航天医学与医学工程 . 2002(03)

Independent component analysis: algorithms and applications [J] . Neural Networks . 2000 (4)

The Fixed-Point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis [J] . Aapo Hyv?rinen. Neural Processing Letters . 1999 (1)

Blind separation of multichannel electrogastrograms using independent component analysis based on a neural network [J] . Z. S. Wang,J. Y. Cheung,J. D. Z. Chen. Medical & Biological Engineering & Computing . 1999 (1)

A Fast Fixed-Point Algorithm for Independent Component Analysis [J] . Aapo Hyvä,rinen,Erkki Oja. Neural Computation . 1997 (7)

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