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

Abstract : 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.
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https://www.hal.inserm.fr/inserm-00130049
Contributor : Lotfi Senhadji <>
Submitted on : Monday, February 26, 2007 - 2:13:59 PM
Last modification on : Tuesday, September 3, 2019 - 6:02:02 PM
Long-term archiving on: : Wednesday, April 7, 2010 - 2:42:53 AM

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Lotfi Senhadji, Jean-Louis Dillenseger, Fabrice Wendling, Cristina Rocha, Abel Kinie. Wavelet analysis of EEG for three-dimensional mapping of epileptic events.. Annals of Biomedical Engineering, Springer Verlag, 1995, 23 (5), pp.543-52. ⟨10.1007/BF02584454⟩. ⟨inserm-00130049⟩

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