| 基于独立分量分析的脉搏波信号的降噪处理 |
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| 引用本文： | 苏永春 姚翔 梁妃学 于巍 邓亲恺. 基于独立分量分析的脉搏波信号的降噪处理[J]. 医疗设备信息, 2006, 21(6): 4-7 |
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| 作者姓名： | 苏永春 姚翔 梁妃学 于巍 邓亲恺 |
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| 作者单位： | 南方医科大学生物医学工程学院 广东广州510515(苏永春)，成都军区昆明总医院 云南昆明650032(姚翔)，南方医科大学基础医学院 广东广州510515(梁妃学，于巍，邓亲恺) |
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| 摘 要： | 在血氧饱和度的无创监测过程中,由于采样得到的脉搏波信号信噪比较低,这给血氧饱和度的准确测量带来了困难,所以对于噪声干扰的去除是准确计算血氧饱和度的关键前提。本文利用基于信息极大判据的独立分量分析方法处理受白噪声干扰的脉搏波信号,实验证明该方法可以有效地分离脉搏波信号和噪声,为准确监测血氧饱和度奠定了基础。
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| 关 键 词： | 血氧饱和度 独立分量分析 脉搏波 信息极大判据 |
| 文章编号： | 1007-7510（2006）06-0004-04 |
| 收稿时间： | 2006-01-16 |
| 修稿时间： | 2006-01-16 |
Noise removal of pulse wave signal based on independent component analysis |
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| SU Yong- chun , YAO Xiang, LIANG Fei - xue, YU Wei, DEING Qin- kai. Noise removal of pulse wave signal based on independent component analysis[J]. Information of Medical Equipment, 2006, 21(6): 4-7 |
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| Authors: | SU Yong- chun YAO Xiang LIANG Fei - xue YU Wei DEING Qin- kai |
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| Affiliation: | 1. School of Biomedical Engineering of South Medical University Guangzhou Guangdong 610515,China; 2. School of Basic Medical Sciences of South Medical University, Guangzhou Guangdong 510515, China; 3. Kunming General Hospital of Chengdu Military Region, Kunming Yunnan 650032, China |
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| Abstract: | It is difficult to measure blood oxygen saturation accurately in the monitoring process because of lower signal- noise ratio of pulse wave. So noise removal is a key precondition in the measurement of blood oxygen saturation. In the paper independent component analysis based on the principle of information maximization preservation is applied to processing pulse wave signal which was interfered by white noise. The experimental results show that the means can separate pulse wave signal and white noise effectively and is a foundation for measuring oxygen saturation accurately. |
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| Keywords: | blood oxygen saturation independent component analysis pulse wave principle of information maximization preservation |
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