Application of Empirical Mode Decomposition (Emd) for automated detection of epilepsy using Eeg signals

Application of Empirical Mode Decomposition (Emd) for automated detection of epilepsy using Eeg signals

Epilepsy is a global disease with considerable incidence due to recurrent unprovoked seizures. These seizures can be noninvasively diagnosed using electroencephalogram (EEG), a measure of neuronal electrical activity in brain recorded along scalp. EEG is highly nonlinear, nonstationary and non-Gauss...

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Bibliographic Details
Main Authors: Martis, Roshan Joy, Acharya, U. Rajendra, Tan, Jen Hong, Petznick, Andrea, Yanti, Ratna, Chua, Chua Kuang, Ng, Eddie Yin-Kwee, Tong, Louis
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/96823
http://hdl.handle.net/10220/11625

Internet

https://hdl.handle.net/10356/96823
http://hdl.handle.net/10220/11625

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