PlumX Metrics
Embed PlumX Metrics

Electroencephalography data analysis by using discrete wavelet packet transform

AIP Conference Proceedings, ISSN: 1551-7616, Vol: 1660
2015
  • 2
    Citations
  • 0
    Usage
  • 5
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

Conference Paper 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.

Bibliographic Details

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

AIP Publishing

Physics and Astronomy

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know