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.
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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 621.382 2 Ely v-1 3100018076394 |
| 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 > 90243-(S1) Undergraduate Thesis |
| Depositing User: | Elyantono Thalia Febiola |
| Date Deposited: | 08 Jan 2019 07:46 |
| Last Modified: | 15 Feb 2021 04:36 |
| URI: | http://repository.its.ac.id/id/eprint/58710 |
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