| 多导同步心电的独立成份分析 |
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| 引用本文： | 李章勇,向天雨,牛永红,阳家长,谢正祥.多导同步心电的独立成份分析[J].中国医学物理学杂志,2003,20(4):270-273. |
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| 作者姓名： | 李章勇 向天雨 牛永红 阳家长 谢正祥 |
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| 作者单位： | 1. 重庆医科大学,生物医学工程研究室,重庆,400016
2. 重庆永川市中医院,重庆,永川,402160 |
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| 摘 要： | 独立成份分析是伴随盲信号分离问题而发展起来的一项新的统计信号处理技术。本文介绍了独立成份分析的基本理论和算法，仿真实验证明了独立成份分析提取独立信号的能力，最后用独立成份分析技术分析了实际的四导联同步心电信号。结果表明独立成份分析可以提取多导联同步心电中的成份甚至是微弱的掩埋在背景中的成份。
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| 关 键 词： | 独立成份分析 盲信号分离 心电信号 信号处理 |
| 文章编号： | 1005-202X(2003)04-0270-04 |
| 修稿时间： | 2002年10月21 |
Independent component analysis for multi-lead simultaneous recording ECS |
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| LEE Zhang-yong- XIANG Tian-yu- NIU Yong-hong- YANG Jia-chang- XIE Zheng-xiang.Independent component analysis for multi-lead simultaneous recording ECS[J].Chinese Journal of Medical Physics,2003,20(4):270-273. |
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| Authors: | LEE Zhang-yong- XIANG Tian-yu- NIU Yong-hong- YANG Jia-chang- XIE Zheng-xiang |
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| Institution: | 1.Dept. of Biomedical Engineering- Chongqing University of Medical Sciences- Chongqing 400016- China;2.Yong-chuan Traditional Chinese Medical Hospital- Yongchuan- Chongqing 402160- China |
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| Abstract: | Independent component analysis (ICA) is a new statistical signal approach- developed with blind signal separation. In this paper- essential theory and algorithm of ICA are addressed- and the ability of ICA to extract independent signal was confirmed in simulation experiment. 4-lead simultaneous recording ECG was also analyzed. The experimental results show that ICA can extract components of multi-lead simultaneous recording ECS-especially the weak one of burying in background. |
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| Keywords: | independent component analysis blind signal separation electrocardiosignal signal processing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
