Visualisasi Keadaan Otak Penderita Epilepsi Berdasarkan Analisis Spektral Sinyal EEG Menggunakan Topographic Mapping - Visualisation Of Epilepsy Patient’s Brain Condition Based On Spectral Analysis Of EEG Signals Using Topographic Mapping

Elyantono, Thalia Febiola (2018) Visualisasi Keadaan Otak Penderita Epilepsi Berdasarkan Analisis Spektral Sinyal EEG Menggunakan Topographic Mapping - Visualisation Of Epilepsy Patient’s Brain Condition Based On Spectral Analysis Of EEG Signals Using Topographic Mapping. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Dalam menganalisis data pasien epilepsi perlu bagi seorang dokter untuk mengetahui dimana letak pusat penyebab epilepsi berada. Hal ini berkaitan dengan penentuan pemberian jenis obat dan tindakan terapi yang akan dilakukan untuk pasien epilepsi, berbeda letak pusat epilepsi berbeda pula jenis tindakan medis yang diberikan. Dalam penelitian ini dibangun sebuah sistem yang dapat memvisualisasikan keadaan otak penderita epilepsi dengan melakukan analisa terhadap sinyal gelombang otak atau electroencephalography (EEG). Visualisasi dilakukan menggunakan teknik topographic mapping pada setiap subband sinyal EEG, yakni subband delta, theta, alpha, beta dan gamma. Proses ekstraksi fitur dilakukan menggunakan Fast Fourier Transform (FFT) guna mentransformasikan sinyal dari domain waktu ke dalam domain frekuensi. Fitur absolute power dan relative power data sinyal EEG digunakan sebagai nilai masukan dalam proses visualisasi. Hasil yang diperoleh dalam penelitian ini menunjukkan sistem ini dapat memvisualisasikan kondisi otak pasien epilepsi untuk mengetahui dimana letak epileptogenic zone berada asalkan proses pemotongan data disesuaikan dengan durasi gelombang kejang yang terjadi.========================================================================================== In analyzing the epilepsy patient data it is necessary for a doctor to know where the epileptic focus are located. This is related to the determination of the type of drug delivery and the therapeutic measures that will be performed for the epilepsy patient, differentiating the epileptic focus as well as the type of medical action given. In this study, 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 subband, namely the delta, theta, alpha, beta and gamma subband. The feature extraction process is performed 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 obtained in this study indicate this system can visualize the brain condition of epileptic patients to find out where the epileptogenic zone is located as long as the data cutting process is adjusted to the duration of the seizure wave that occurs.

Item Type: Thesis (Undergraduate)
Additional Information: RSKom Ely v
Uncontrolled Keywords: Epilepsi; EEG; FFT; relative power; topographic mapping
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing.
Divisions: Faculty of Electrical Technology > Computer Engineering > (S1) Undergraduate Theses
Depositing User: Elyantono Thalia Febiola
Date Deposited: 08 Jan 2019 07:46
Last Modified: 08 Jan 2019 07:46
URI: http://repository.its.ac.id/id/eprint/58710

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