癫痫棘波的小波分析
Wavelet analysis of epileptic spikes
摘要：
发作间期的棘波和尖波是癫痫的特征性信号。这些电位起源于许多神经元的同步病理性放电。这种电位的可靠检测一直是EEG分析中的长期问题，特别是在长期监测在癫痫患者的调查中变得普遍之后。尖峰的传统定义是基于其幅度、持续时间、锐度和从背景中出现。然而，由于存在大量瞬态和伪影，仅围绕该定义构建的尖峰检测系统是不可靠的。我们利用小波变换分析癫痫脑电的特征。我们证明了癫痫棘波的小波变换跨尺度的行为可以构成一个相对简单而有效的检测算法的基础。
英文摘要：
Interictal spikes and sharp waves in human EEG are characteristic signatures of epilepsy. These potentials originate as a result of synchronous, pathological discharge of many neurons. The reliable detection of such potentials has been the long standing problem in EEG analysis, especially after long-term monitoring became common in investigation of epileptic patients. The traditional definition of a spike is based on its amplitude, duration, sharpness, and emergence from its background. However, spike detection systems built solely around this definition are not reliable due to the presence of numerous transients and artifacts. We use wavelet transform to analyze the properties of EEG manifestations of epilepsy. We demonstrate that the behavior of wavelet transform of epileptic spikes across scales can constitute the foundation of a relatively simple yet effective detection algorithm.
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