Application of intrinsic time-scale decomposition (ITD) to EEG signals for automated seizure prediction

Application of intrinsic time-scale decomposition (ITD) to EEG signals for automated seizure prediction

Intrinsic time-scale decomposition (ITD) is a new nonlinear method of time-frequency representation which can decipher the minute changes in the nonlinear EEG signals. In this work, we have automatically classified normal, interictal and ictal EEG signals using the features derived from the ITD repr...

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Bibliographic Details
Main Authors: Martis, Roshan Joy, Acharya, U. Rajendra, Tan, Jen Hong, Petznick, Andrea, Tong, Louis, Chua, Chua Kuang, Ng, Eddie Yin-Kwee
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Mechanical engineering
Online Access:https://hdl.handle.net/10356/99399
http://hdl.handle.net/10220/17503

Internet

https://hdl.handle.net/10356/99399
http://hdl.handle.net/10220/17503

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