An enhanced discrete wavelet packet transform for feature extraction in electroencephalogram signals

Extracting features from electroencephalogram (EEG) is a challenging task because the signals are complex and chaotic in nature. EEG signals are time varying as human brain produces different frequency bands within different period of time. Due to this reason, several time-frequency methods have bee...

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Bibliographic Details
Main Authors: Al-Qammaz, Abdullah Yousef, Yusof, Yuhanis, Ahmad, Farzana Kabir
Format: Conference or Workshop Item
Published: 2017
Subjects:
Online Access:http://repo.uum.edu.my/25650/
http://doi.org/10.1145/3132300.3132303
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Institution: Universiti Utara Malaysia