TY  - CONF
ID  - scholars5940
TI  - Electroencephalography data analysis by using discrete wavelet packet transform
N2  - 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.
N1  - 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
AV  - none
VL  - 1660
A1  - Karim, S.A.A.
A1  - Ismail, M.T.
A1  - Hasan, M.K.
A1  - Sulaiman, J.
A1  - Muthuvalu, M.S.
A1  - Josefina, J.B.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006210778&doi=10.1063%2f1.4915737&partnerID=40&md5=8d4a88c61ff3f65c66bdde1783a4aff7
PB  - American Institute of Physics Inc.
SN  - 0094243X
Y1  - 2015///
ER  -