| 基于小波变换的心室晚电位特征分析 |
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| 引用本文： | 吴水才,扬国计,林家瑞,韩晓东.基于小波变换的心室晚电位特征分析[J].华中科技大学学报(自然科学版),1999(9). |
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| 作者姓名： | 吴水才 扬国计 林家瑞 韩晓东 |
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| 作者单位： | 华中理工大学生物医学工程研究所(吴水才，林家瑞，韩晓东)，河南平顶山煤气公司(扬国计) |
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| 摘 要： | 对４０ 例信号平均心电图的矢量幅值波进行了小波变换，分析了心室晚电位在时频域中的特征．研究结果表明：心室晚电位在时频空间中特征分布明显，易于识别，可有效排除噪声的影响，从而提高心室晚电位的检测准确率
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| 关 键 词： | 心室晚电位 小波变换 特征分析 |
The Characterization Analysis of Ventricular Late Potentials Based on Wavelet Transform |
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| Wu Shuicai,Yang Guoji,Lin Jiarui,Han Xiaodong.The Characterization Analysis of Ventricular Late Potentials Based on Wavelet Transform[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1999(9). |
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| Authors: | Wu Shuicai Yang Guoji Lin Jiarui Han Xiaodong |
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| Institution: | Wu Shuicai Yang Guoji Lin Jiarui Han Xiaodong |
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| Abstract: | The conventional time domain analysis method of ventricular late potentials is dependent on three characteristic parameters detected from vector magnitude waves. As the characterization values are affected by noise, detection accuracy rate is lower. The characteristic distribution of ventricular late potentials in time frequency domains by means of wavelet transforms is analyzed. The results show that the ventricular late potentials are easy to recognize in time frequency domain. It is effective to reduce noise affection and improve detection accuracy rate. |
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| Keywords: | ventricular late potentials wavelet transform characterization analysis Wu Shuicai Doctoral Candidate Institute of Biomedical Eng HUST Wuhan 430074 China |
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