Electroencephalography data analysis by using discrete wavelet packet transform

Samsul Ariffin Abdul Karim, Mohd Tahir Ismail, Mohammad Khatim Hasan, Jumat Sulaiman, Mohana Sundaram Muthuvalu, Janier B. Josefina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationInternational Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014
PublisherAmerican Institute of Physics Inc.
Volume1660
ISBN (Electronic)9780735413047
DOIs
Publication statusPublished - 15 May 2015
EventInternational Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014 - Penang, Malaysia
Duration: 28 May 201430 May 2014

Other

OtherInternational Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014
CountryMalaysia
CityPenang
Period28/5/1430/5/14

Fingerprint

electroencephalography
neurons
statistical analysis
brain

Keywords

  • brain activity
  • EEG
  • wavelet packet transform

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Karim, S. A. A., Ismail, M. T., Hasan, M. K., Sulaiman, J., Muthuvalu, M. S., & Josefina, J. B. (2015). Electroencephalography data analysis by using discrete wavelet packet transform. In International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014 (Vol. 1660). [070019] American Institute of Physics Inc.. https://doi.org/10.1063/1.4915737

Electroencephalography data analysis by using discrete wavelet packet transform. / Karim, Samsul Ariffin Abdul; Ismail, Mohd Tahir; Hasan, Mohammad Khatim; Sulaiman, Jumat; Muthuvalu, Mohana Sundaram; Josefina, Janier B.

International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014. Vol. 1660 American Institute of Physics Inc., 2015. 070019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Karim, SAA, Ismail, MT, Hasan, MK, Sulaiman, J, Muthuvalu, MS & Josefina, JB 2015, Electroencephalography data analysis by using discrete wavelet packet transform. in International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014. vol. 1660, 070019, American Institute of Physics Inc., International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014, Penang, Malaysia, 28/5/14. https://doi.org/10.1063/1.4915737
Karim SAA, Ismail MT, Hasan MK, Sulaiman J, Muthuvalu MS, Josefina JB. Electroencephalography data analysis by using discrete wavelet packet transform. In International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014. Vol. 1660. American Institute of Physics Inc. 2015. 070019 https://doi.org/10.1063/1.4915737
Karim, Samsul Ariffin Abdul ; Ismail, Mohd Tahir ; Hasan, Mohammad Khatim ; Sulaiman, Jumat ; Muthuvalu, Mohana Sundaram ; Josefina, Janier B. / Electroencephalography data analysis by using discrete wavelet packet transform. International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014. Vol. 1660 American Institute of Physics Inc., 2015.
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