| 基于高阶统计量的心音信号分析 |
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| 引用本文： | 何莹,吴效明,岑人经,周静.基于高阶统计量的心音信号分析[J].微计算机信息,2007,23(4):258-259. |
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| 作者姓名： | 何莹 吴效明 岑人经 周静 |
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| 作者单位： | 510640,广州,广州五山华南理工大学生物科学与工程学院 |
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| 摘 要： | 对高阶统计量方法应用于心音信号分析进行了研究。建立了心音信号的AR双谱模型,获得了心音的双谱幅度图,并采用模型参数作为特征参量对心音信号进行了二类模式识别。实验结果表明,高阶统计量在心音信号分析和处理中具有较大的应用潜力。
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| 关 键 词： | 高阶统计量 双谱 模式识别 心音信号 |
| 文章编号： | 1008-0570（2007）02-1-0258-02 |
| 修稿时间： | 2006-10-12 |
Analysis of PCG Signal Based on Higher-order Statistics |
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| HE YING,WU XIAOMING,CEN RENJING,ZHOU JING.Analysis of PCG Signal Based on Higher-order Statistics[J].Control & Automation,2007,23(4):258-259. |
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| Authors: | HE YING WU XIAOMING CEN RENJING ZHOU JING |
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| Abstract: | The application of higher- order statistics to analyzing PCG signal is studied. The AR bispectrum model is presented and is used to obtain the amplitude bispectral structure of PCG signal. The parameters of AR bispectrum model are proposed to form the features vector for the pattern classification of PCG signals. The results show that higher- order statistics is a useful method in PCG signal processing. |
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| Keywords: | higher-order statistics bispectrum pattern recognition PCG signal |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
