A Study on Spike Detection and Classification from Epileptic EEG Data

博士 === 國立成功大學 === 資訊工程學系 === 102 === Accurate automatic spike detection is highly beneficial to clinical assessment of epileptic electroencephalogram (EEG) data. In this thesis, a new two–stage approach is proposed for epileptic spike detection. First, the k-point nonlinear energy operator (k-NEO) i...

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Bibliographic Details
Main Authors: Yung-ChunLiu, 劉勇均
Other Authors: Yung-Nien Sun
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/37413041782524463703