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

• 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: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Mechanical engineering
• Online Access: https://hdl.handle.net/10356/99399; http://hdl.handle.net/10220/17503
• Institution: Nanyang Technological University

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...