| 基于脑电棘波频次的癫痫发作预测算法 |
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| 引用本文： | 李淑芳,周卫东,袁琦,蔡冬梅. 基于脑电棘波频次的癫痫发作预测算法[J]. 中国生物医学工程学报, 2011, 30(6). DOI: 10.3969/j.issn.0258-8021.2011.06.005 |
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| 作者姓名： | 李淑芳 周卫东 袁琦 蔡冬梅 |
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| 作者单位： | 山东大学信息科学与工程学院,济南,250100 |
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| 基金项目： | 国家科技支撑计划项目，山东省攻关计划项目，山东大学自主创新基金 |
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| 摘 要： | 癫痫发作预测是近年来在神经科学领域中备受关注的课题.预测癫痫发作可以使医护人员或患者提前采取有效措施来预防和控制癫痫发作,在临床上具有重要意义.棘波是最基本的阵发性异常脑电活动,在分析和统计癫痫发作前期和发作期棘波频次不同表现的基础上,首次提出一种基于脑电棘波频次的癫痫预测算法.对脑电进行滤波以去掉高频干扰后,采用形态学滤波器检测脑电棘波数目,并计算各段脑电中棘波出现的频次,最后根据棘波频次的变化预测癫痫的发作.采用本算法对21例癫痫患者长程颅内脑电进行癫痫预测,准确率达到74.7％,每小时错误预测次数仅为0.111次.结果表明,所提出算法能够有效地预测癫痫发作.
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| 关 键 词： | 癫痫预测 棘波检测 形态学滤波器 棘波频次 |
Seizure Prediction Algorithm Based on Spike Rate in EEG |
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| LI Shu-Fang,ZHOU Wei-Dong,YUAN Qi,CAI Dong-Mei. Seizure Prediction Algorithm Based on Spike Rate in EEG[J]. Chinese Journal of Biomedical Engineering, 2011, 30(6). DOI: 10.3969/j.issn.0258-8021.2011.06.005 |
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| Authors: | LI Shu-Fang ZHOU Wei-Dong YUAN Qi CAI Dong-Mei |
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| Affiliation: | LI Shu-Fang ZHOU Wei-Dong YUAN Qi CAI Dong-Mei (School of Information Science and Engineering,Shandong University,Jinan 250100,China) |
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| Abstract: | Seizure prediction is a field of great interest in neuroscience communities,because it can make doctors or patients to take effective measures to prevent and control seizures.Spike is the basic paroxysmal EEG activity.In this work the different performance of Spike Rate(SR) was analyzed in preictal and ictal EEG.An algorithm based on SR detection by morphological filtering to predict seizure was proposed and investigated.First,the high frequency artifacts of EEG were removed by filtering.Then,the improved m... |
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| Keywords: | seizure prediction spike detection morphological filter spike rate |
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