WAVELET ANALYSIS OF EEG FOR 3-DIMENSIONAL MAPPING OF EPILEPTIC EVENTS

被引：42

作者：

SENHADJI, L

DILLENSEGER, JL

WENDLING, F

ROCHA, C

KINIE, A

机构：

[1] Laboratoire Traitement du Signal et de l'Image, INSERM, Université de Rennes I, Rennes, Cedex, 35042, Campus de Beaulieu

来源：

ANNALS OF BIOMEDICAL ENGINEERING | 1995年 / 23卷 / 05期

关键词：

WAVELET TRANSFORMS; DETECTION; HYPOTHESIS TEST; INTERICTAL EEG; MAPPING; 3D MULTIRESOLUTION CARTOGRAPHY;

D O I：

10.1007/BF02584454

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper is aimed at understanding epileptic patient disorders through the analysis of surface electroencephalograms (EEG). It deals with the detection of spikes or spike-waves based on a nonorthogonal wavelet transform. A multilevel structure is described that locates the temporal segments where abnormal events occur. These events are then visually interpreted by means of a 3D mapping technique. This 3D 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 computed tomography [CT] or magnetic resonance imaging [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.

引用

页码：543 / 552

页数：10

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