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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/17019
Title: HHT-Based Scalp Map for Capturing Transient EEG Event
Authors: Cheng-Yu Cheng
Chun-Shun Tseng
Kai-Tse Wang
Tsung-I Peng
Chin-Feng Lin 
Jung-Hua Wang 
Issue Date: 23-Aug-2009
Start page/Pages: 798-803
Conference: The 22th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2009)
Chi-Tou, Taiwan
Abstract: 
In this paper, Hilbert-Huang transform (HHT) is applied to transfer time-domain waves of the four EEG
electrode channels (F7, F8, T3, T4) to obtain a scalp map which is potentially useful for capturing transient
events such as epilepsy. Using Empirical Mode Decomposition (EMD), the HHT decomposes the brain
wave into a sum of Intrinsic Mode Functions (IMFs), and then Hilbert Spectrum of each IMF is calculated by using Hilbert Transform. The scalp map spectrum is sketched with energy-frequency-time distribution of each IMF. Because the energy of spike wave and sharp wave are contained in the scalp map spectrum, the difference between normal and abnormal patients can be observed through the scalp map. Experimental results based on medical source data indicate its clinical potentiality is extremely high.
URI: http://scholars.ntou.edu.tw/handle/123456789/17019
Appears in Collections:電機工程學系

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