relation: https://khub.utp.edu.my/scholars/5940/
title: Electroencephalography data analysis by using discrete wavelet packet transform
creator: Karim, S.A.A.
creator: Ismail, M.T.
creator: Hasan, M.K.
creator: Sulaiman, J.
creator: Muthuvalu, M.S.
creator: Josefina, J.B.
description: Electroencephalography (EEG) is the electrical activity generated by the movement of neurons in the brain. It is categorized into delta waves, theta, alpha, beta and gamma. These waves exist in a different frequency band. This paper is a continuation of our previous research. EEG data will be decomposed using Discrete Wavelet Packet Transform (DWPT). Daubechies wavelets 10 (D10) will be used as the basic functions for research purposes. From the main results, it is clear that the DWPT able to characterize the EEG signal corresponding to each wave at a specific frequency. Furthermore, the numerical results obtained better than the results using DWT. Statistical analysis support our main findings. © 2015 AIP Publishing LLC.
publisher: American Institute of Physics Inc.
date: 2015
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Karim, S.A.A. and Ismail, M.T. and Hasan, M.K. and Sulaiman, J. and Muthuvalu, M.S. and Josefina, J.B.  (2015) Electroencephalography data analysis by using discrete wavelet packet transform.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006210778&doi=10.1063%2f1.4915737&partnerID=40&md5=8d4a88c61ff3f65c66bdde1783a4aff7
relation: 10.1063/1.4915737
identifier: 10.1063/1.4915737