Visualization of Epilepsy Patient's Brain Condition based on Spectral Analysis of EEG Signals using Topographic Mapping

Diah P. Wulandari, Yoyon K. Suprapto, Anda I. Juniani, Thalia F. Elyantono, Santi W. Purnami, Wardah R. Islamiyah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

In analyzing the epilepsy patient data it is necessary for a doctor to know where the epileptic focus are located. This information is related to the determination of the type of drug delivery and the therapeutic measures that will be performed for the epilepsy patient. In this research, a system that can visualize the state of the brains of epilepsy patients by performing an analysis of brain wave signals or electroencephalography (EEG) is built. Visualization is performed using topographic mapping techniques on each EEG signal sub-band, namely delta, theta, alpha, beta and gamma sub-bands. The feature extraction process is conducted using Fast Fourier Transform (FFT) to transform signals from time domain into frequency domain. The absolute power and relative power data of EEG signals are used as input values in the visualization process. The results are compared to neurologist analysis and they indicate that this system can visualize the brain condition of epileptic patients to find out where the epileptogenic zone is located by adjusting data cutting process to the duration of the seizure wave that occurs.

Original languageEnglish
Title of host publication2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-13
Number of pages7
ISBN (Electronic)9781538675090
DOIs
Publication statusPublished - 2 Jul 2018
Externally publishedYes
Event2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Surabaya, Indonesia
Duration: 26 Nov 201827 Nov 2018

Publication series

Name2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding

Conference

Conference2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018
Country/TerritoryIndonesia
CitySurabaya
Period26/11/1827/11/18

Keywords

  • EEG
  • Epilepsy
  • FFT
  • relative power
  • topographic mapping

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