癫痫EEG波形的小波分析方法
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R742.1

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国家自然科学基金(69974038),国家高性能计算基金(00215)


Wavelet Analysis of EEG for the Epileptic Waves
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    摘要:

    癫痫患者发病期间脑电图表现为高幅同步节律波,可显著地在患者脑电图中观测到棘、尖波以及棘慢复合波等特征波形。本文根据癫痫波形特征,利用小波变换的时频局部化特性,提出了另一种高效的脑电图癫痫波形自动检测方法。

    Abstract:

    According to the feature waveforms of epileptic waves,a continuous processing system for epileptic waveforms detection is constructed based on the time-frequency domain localization of wavelet transforms.By detecting the local maximal positions across several successive dyadic scales of wavelet transform.the positions that indicate the points of sharp transitions in EEG are determined,thus the distribution of subwave periods in different scales can be obtained.Then by using the distribution,the epileptic waves in EEG are detected. This system shows good performance,such as high detection accuracy and capable of working continuously.Initial clinical results obtained were encouraging.

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邵晨曦 卢继军 等. 癫痫EEG波形的小波分析方法[J]. 科学技术与工程, 2002, (3): 32-34.
SHAO Chenxi LU Jijun ZHOU Hao. Wavelet Analysis of EEG for the Epileptic Waves[J]. Science Technology and Engineering,2002,(3):32-34.

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  • 最后修改日期:2001-12-01
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