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

doi:10.1109/CENIM.2018.8710879

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7-13
Number of pages	7
ISBN (Electronic)	9781538675090
DOIs	https://doi.org/10.1109/CENIM.2018.8710879
Publication status	Published - 2 Jul 2018
Event	2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Surabaya, Indonesia Duration: 26 Nov 2018 → 27 Nov 2018

Publication series

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

Conference

Conference	2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018
Country/Territory	Indonesia
City	Surabaya
Period	26/11/18 → 27/11/18

Keywords

EEG
Epilepsy
FFT
relative power
topographic mapping

Access to Document

10.1109/CENIM.2018.8710879

Cite this

Wulandari, D. P., Suprapto, Y. K., Juniani, A. I., Elyantono, T. F., Purnami, S. W., & Islamiyah, W. R. (2018). Visualization of Epilepsy Patient's Brain Condition based on Spectral Analysis of EEG Signals using Topographic Mapping. In 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding (pp. 7-13). Article 8710879 (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CENIM.2018.8710879

Wulandari, Diah P. ; Suprapto, Yoyon K. ; Juniani, Anda I. et al. / Visualization of Epilepsy Patient's Brain Condition based on Spectral Analysis of EEG Signals using Topographic Mapping. 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 7-13 (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding).

@inproceedings{13e83a0c8d174870a876276f04dfe950,

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

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.",

keywords = "EEG, Epilepsy, FFT, relative power, topographic mapping",

author = "Wulandari, {Diah P.} and Suprapto, {Yoyon K.} and Juniani, {Anda I.} and Elyantono, {Thalia F.} and Purnami, {Santi W.} and Islamiyah, {Wardah R.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 ; Conference date: 26-11-2018 Through 27-11-2018",

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doi = "10.1109/CENIM.2018.8710879",

language = "English",

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Wulandari, DP, Suprapto, YK, Juniani, AI, Elyantono, TF, Purnami, SW & Islamiyah, WR 2018, Visualization of Epilepsy Patient's Brain Condition based on Spectral Analysis of EEG Signals using Topographic Mapping. in 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding., 8710879, 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding, Institute of Electrical and Electronics Engineers Inc., pp. 7-13, 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018, Surabaya, Indonesia, 26/11/18. https://doi.org/10.1109/CENIM.2018.8710879

Visualization of Epilepsy Patient's Brain Condition based on Spectral Analysis of EEG Signals using Topographic Mapping. / Wulandari, Diah P.; Suprapto, Yoyon K.; Juniani, Anda I. et al.
2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2018. p. 7-13 8710879 (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wulandari, Diah P.

AU - Suprapto, Yoyon K.

AU - Juniani, Anda I.

AU - Elyantono, Thalia F.

AU - Purnami, Santi W.

AU - Islamiyah, Wardah R.

PY - 2018/7/2

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N2 - 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.

AB - 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.

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Wulandari DP, Suprapto YK, Juniani AI, Elyantono TF, Purnami SW, Islamiyah WR. Visualization of Epilepsy Patient's Brain Condition based on Spectral Analysis of EEG Signals using Topographic Mapping. In 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2018. p. 7-13. 8710879. (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding). doi: 10.1109/CENIM.2018.8710879

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

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