| 心室晚电位识别的一种方法 |
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| 引用本文： | 娄智,杨基海,陈香,钟展辉,梁政,钱晓进,郑凡.心室晚电位识别的一种方法[J].中国科学技术大学学报,2002,32(2):235-240. |
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| 作者姓名： | 娄智 杨基海 陈香 钟展辉 梁政 钱晓进 郑凡 |
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| 作者单位： | 中国科学技术大学电子科学与技术系,安徽合肥,230026 |
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| 摘 要： | 论文采用小波包分析和人工神经网络相结合的方法完成对心室晚电位的识别。首先利用小波包分解技术提取心电信号的特征，将不同频带子信号的能量作为心电信号的一组特征值，然后采用径向基函数网络实现对晚电位的分类。经过对28例3导信号平均心电图实验数据的处理，取得了较高的识别准确率。
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| 关 键 词： | 心室晚电位 小波包 径向基函数网络 人工神经网络 心电图 小波变换 识别方法 |
| 文章编号： | 0253-2778(2002)02-0235-06 |
| 修稿时间： | 2001年8月24日 |
A Method of the Identification of Ventricular Late Potentials |
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| LOU Zhi,YANG Ji-hai,CHEN Xiang,ZHONG Zhan-hui LIANG Zheng,QIAN Xiao-jin,Zheng Fan.A Method of the Identification of Ventricular Late Potentials[J].Journal of University of Science and Technology of China,2002,32(2):235-240. |
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| Authors: | LOU Zhi YANG Ji-hai CHEN Xiang ZHONG Zhan-hui LIANG Zheng QIAN Xiao-jin Zheng Fan |
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| Abstract: | The identification of Ventricular Late Potentials (VLP) is completed by means of a method combining wavelet packet analysis with artificial neural network in this paper. At first, the eigenvector of ECG signals, which comprises energy of sub-signals in different frequency bands, is extracted by using the technique of wavelet packet decomposition. Then, the classification of ECG signals are realized by adopting Radial Basis Function Network (RBFN). The experiment data obtained from 28 examples of signal average ECG with three leads are processed. The result showe that the method proposed in this paper is quite satisfying for the identification of VLPs. |
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| Keywords: | ventricular late potential wavelet packet radial basis function network |
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