| 基于人工神经网络的癫痫棘波检测方法 |
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| 引用本文： | 初孟,邱天爽,鲍海平. 基于人工神经网络的癫痫棘波检测方法[J]. 中国生物医学工程学报, 2006, 25(4): 421-425,429 |
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| 作者姓名： | 初孟 邱天爽 鲍海平 |
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| 作者单位： | 1. 大连理工大学电子与信息工程学院,辽宁,大连,116023
2. 大连医科大学附属第二医院,辽宁,大连,116023 |
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| 基金项目： | 国家自然科学基金;辽宁省科技计划 |
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| 摘 要： | 脑电癫痫特征波的自动提取对于患者的诊断具有重要的意义。提出一种时频分析与Jensen函数相结合的方法进行棘波检测，然后提取出棘波的波形特征，并通过人工神经网络进行进一步的判决，从而降低棘波检测的误检率。在对真实的癫痫脑电信号（EEG）的仿真实验中，该方法取得了较好的结果。
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| 关 键 词： | 脑电信号 时频分析 人工神经网络 棘波检测 |
| 文章编号： | 0258-8021（2006）04-0421-05 |
| 收稿时间： | 2005-04-07 |
| 修稿时间： | 2006-01-06 |
A Method of Epileptic Spike Detection Based on Artificial Neural Network |
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| CHU Meng,QIU Tian-Shuang,BAO Hai-Ping. A Method of Epileptic Spike Detection Based on Artificial Neural Network[J]. Chinese Journal of Biomedical Engineering, 2006, 25(4): 421-425,429 |
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| Authors: | CHU Meng QIU Tian-Shuang BAO Hai-Ping |
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| Abstract: | The automatic spike detection in EEG is significant in diagnosing neural diseases.This paper proposed a new method which combined time-frequency analysis and Jensen function to detect spike automatically.The characteristics of the detected spikes were extracted with an artificial neural network(ANN) to make further judgement to reduce the false detection ratio.Applying the method to real epileptic EEG,expected results were obtained. |
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| Keywords: | EEG time-frequency analysis artificial neural network spike detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
