| 心音信号识别研究方法进展 |
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| 引用本文： | 吴玉春. 心音信号识别研究方法进展[J]. 北京生物医学工程, 2012, 31(3): 325-330 |
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| 作者姓名： | 吴玉春 |
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| 作者单位： | 西安航空技术高等专科学校,西安,710077 |
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| 摘 要： | 有效提取心音信号中的第1、2心音（S1和S2）是心音信号研究的关键点.本文介绍了心音信号识别的研究现状,通过比较谱分析、小波变换、神经网络以及数学形态学方法等几种心音研究方法,讨论了心音信号识别的研究重点和发展方向,为进一步的心音研究奠定基础.
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| 关 键 词： | 心音 小波变换 神经网络 自动识别 |
Progress on heart sound recognition methods |
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| WU Yuchun. Progress on heart sound recognition methods[J]. Beijing Biomedical Engineering, 2012, 31(3): 325-330 |
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| Authors: | WU Yuchun |
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| Affiliation: | WU Yuchun Xi＇ an Aerotechnical College, Xi＇ an 710077 |
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| Abstract: | Efficient extraction of the first and the second heart sounds （S1 and $2） is the key point of the heart sound research. The current research status of heart sound recognition is introduced. This paper compares the research methods such as spectrum analysis, Wavelet transform, neural network and mathematical morphology. The research emphases and the development direction of heart sound recognition are discussed, and the basis for further study of heart sound research is established. |
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| Keywords: | heart sound wavelet transform neural network automatic recognition |
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