| 利用小波级数检测癫痫EEG中的棘波 |
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| 引用本文： | 宦飞,郑崇勋,黄远桂. 利用小波级数检测癫痫EEG中的棘波[J]. 航天医学与医学工程, 1999, 12(3): 200-203 |
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| 作者姓名： | 宦飞 郑崇勋 黄远桂 |
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| 作者单位： | 1. 西安交通大学生物医学工程研究所,西安,710049
2. 第四军医大学西京医院,西安,710032 |
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| 摘 要： | 目的 研究自动提取癫痫脑电中棘波。方法 把ＥＥＧ信号分解成小波级数，在各个尺度上，利用信号细节在两个过零点之间的平均振幅确定瞬态波形的大小，通过选择平均振幅中的局部极值检测刺波。结果 对６位患者的ＥＥＧ信号进行处理，检测刺波的正确率为９６．６６％，结论 这种方法能够比较准确地检测ＥＥＧ中的棘波。
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| 关 键 词： | 小波级数 脑电图 癫痫 自动检测 |
| 文章编号： | 1002-0837(1999)03-0200-04 |
| 修稿时间： | 1998-06-22 |
Detection of Spikes in Epileptic EEG by Using Wavelet Series |
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| HUAN Fei,ZHENG Chong-xun,HUANG Yuan-Gui. Detection of Spikes in Epileptic EEG by Using Wavelet Series[J]. Space Medicine & Medical Engineering, 1999, 12(3): 200-203 |
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| Authors: | HUAN Fei ZHENG Chong-xun HUANG Yuan-Gui |
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| Abstract: | Objective To study automatic detection of the spikes in the epileptic EEG signals. Method Based on wavelet series decomposition of EEG signals, the mean amplitude between two crosszeros of the detail signals at every scale was utilized to obtain quantitative values for the transient waves, and the abnormal spikes were distinguished from normal background EEG activities by the local maximum of the mean amplitudes of the different scales. Result The analysis of 6 patients' EEG data showed that the correctness ratio was 79.66% in detecting the spikes.THZ Conclusion The epileptiform spikes in the abnormal EEG can be accurately detected with this method. |
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| Keywords: | wavelet series EEG epilepsy automatic detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
