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基于独立分量分析的脉搏波信号的降噪处理 被引量:4

Noise removal of pulse wave signal based on independent component analysis
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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。 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.
出处 《医疗设备信息》 2006年第6期4-7,共4页 Information of Medical Equipment
关键词 血氧饱和度 独立分量分析 脉搏波 信息极大判据 blood oxygen saturation independent component analysis pulse wave principle of information maximization preservation
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