CD Skripsi

Perancangan Sistem Electroencephalogram (Eeg) Untuk Diagnosa Depresi

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Abstract
Electroencephalogram (EEG) is a brain signal processing technique used to detect abnormal brain waves. EEG signal recording uses electrodes placed on the scalp. AD620 is used to obtain high input impedance. The EEG signal is amplified by transmitting the signal into the notch filter, high pass filter and low pass filter to improve the quality of the signal such as eliminating and reducing noise. In this study proposes the design of the Electroencephalogram (EEG) system for depression diagnosis using MATLAB. EEG recording focuses on analyzing alpha waves to determine whether the subject is suffering from depression. For cases of depression, the lobes of the brain placed electrodes are the Occipital and Parietal lobes of the brain. The selection of participants in this study was based on the results of tests using the Patient Health Questionnaire-9 (PHQ-9) method. The results obtained after EEG recording are theta waves more dominant than alpha waves.
Keywords : Electroencephalogram, Filter, MATLAB, PHQ-9, Depression.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

07 04. 120 (0006)

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Elektro., 2020

Deskripsi Fisik

x, 66 hlm.; ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

07 04. 120 (0006)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

Daus

Versi lain/terkait

Lampiran Berkas

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