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Wavelet analysis of EEG for three-dimensional mapping of epileptic events

机译:脑电图的小波分析用于癫痫事件的三维映射

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摘要

This paper is aimed at the understanding of epileptic patient disorders through the analysis of surface electroencephalograms (EEG). It deals with the detection of spikes or spike-waves based on a non-orthogonal wavelet transform. A multilevel structure is described which locates the temporal segments where abnormal events occur. These events are then visually interpreted by means of a 3-D mapping technique. This 3-D display makes use of a ray tracing scheme and combines both the functional (the EEG but also its wavelet representation) and the morphological data (acquired from CT or MRI devices). The results show that a significant reduction of the clinical workload is obtained while the most important episodes are better reviewed and analyzed.
机译:本文旨在通过分析表面脑电图(EEG)来了解癫痫患者的疾病。它处理基于非正交小波变换的尖峰或尖峰波检测。描述了一种多层结构,该结构定位发生异常事件的时间段。然后,通过3-D映射技术从视​​觉上解释这些事件。这种3-D显示器利用光线跟踪方案,并结合了功能(EEG以及小波表示)和形态学数据(从CT或MRI设备获得)。结果表明,可以最大程度地减少临床工作量,同时可以更好地审查和分析最重要的事件。

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