eprintid: 5940
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/59/40
datestamp: 2023-11-09 16:17:41
lastmod: 2023-11-09 16:17:41
status_changed: 2023-11-09 16:04:18
type: conference_item
metadata_visibility: show
creators_name: Karim, S.A.A.
creators_name: Ismail, M.T.
creators_name: Hasan, M.K.
creators_name: Sulaiman, J.
creators_name: Muthuvalu, M.S.
creators_name: Josefina, J.B.
title: Electroencephalography data analysis by using discrete wavelet packet transform
ispublished: pub
note: cited By 2; Conference of International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014 ; Conference Date: 28 May 2014 Through 30 May 2014; Conference Code:113203
abstract: 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.
date: 2015
publisher: American Institute of Physics Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006210778&doi=10.1063%2f1.4915737&partnerID=40&md5=8d4a88c61ff3f65c66bdde1783a4aff7
id_number: 10.1063/1.4915737
full_text_status: none
publication: AIP Conference Proceedings
volume: 1660
refereed: TRUE
isbn: 9780735413047
issn: 0094243X
citation:   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.