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

• DOI: 10.1007/bf02584454
• Publication Date: 2007-03-23T04:50:04Z
• Authors: L. Senhadji; J. L. Dillenseger; F. Wendling; C. Rocha; A. Kinie
• Keywords: MESH: Decision Trees; [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing; Decision; Transient Detection; MESH: Algorithms; Wavelets; MESH: Signal Processing, Computer-Assisted; Sensitivity and Specificity; MESH: Magnetic Resonance Imaging; 03 medical and health sciences; 0302 clinical medicine; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]; MESH: Electroencephalography; Image Processing, Computer-Assisted; Statistical Signal Processing; Humans; EEG; [MATH.MATH-RT] Mathematics [math]/Representation Theory [math.RT]; [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]; MESH: Brain Mapping; Spike Detection; [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing; [SDV.IB] Life Sciences [q-bio]/Bioengineering; Brain Mapping; MESH: Humans; Epilepsy; [MATH.MATH-RT]Mathematics [math]/Representation Theory [math.RT]; False Alarm; [SCCO.NEUR]Cognitive science/Neuroscience; MESH: Tomography; [SCCO.NEUR] Cognitive science/Neuroscience; Decision Trees; Reproducibility of Results; Electroencephalography; Signal Processing, Computer-Assisted; Hypothesis Testing; MESH: Image Processing, Computer-Assisted; Magnetic Resonance Imaging; MESH: Sensitivity and Specificity; MESH: Reproducibility of Results; MESH: Epilepsy; [SDV.IB]Life Sciences [q-bio]/Bioengineering; Tomography, X-Ray Computed; [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; Algorithms

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.