ANALISIS SPEKTRAL DAYA DAN KOHERENSI SINYAL ELECTROENCEPHALOGRAPHY (EEG) AREA FRONTAL PADA PECANDU ROKOK

Gebrina Rahmah, NIM.: 16620002 (2020) ANALISIS SPEKTRAL DAYA DAN KOHERENSI SINYAL ELECTROENCEPHALOGRAPHY (EEG) AREA FRONTAL PADA PECANDU ROKOK. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Nicotine in cigarettes can lead to addiction and can damage the brain's performance system for the users. If the nicotine level is met, a cigarette addict will feel relaxed, on the contrary, if it is reduced, he will experience a sense of stress (tension). Several techniques are neuroimaging used to understand the functional differences in the brain functionalities of cigarette addicts before and after smoking. QEEG is a non-invasive technique that can be used to provide an overview of brain functionality through the various physical quantities studied. This study will discuss the characteristics of the brain electrical signals in cigarette addicts before and after smoking based on QEEG analysis. Recording of brain signals using Emotiv Epoc 14 electrodes, but only focuses on 8 electrodes in the frontal area of the brain (AF3, F7, F3, FC5, FC6, F4, F8, AF4). The number of test subjects was 5 cigarette addicts with an age range of 20-25 years. The test subjects were selected based on the criteria of not smoking within 8 hours before recording. Brain recording was done when the eyes were open, eyes closed and the task was to do math problems. Data analysis methods include pre-processing of EEG data to remove noise and artifacts, calculation of spectral power using periodogram Welch’s, and analysis of brain functional connectivity by calculating the amount of intra-hemisphere and inter-hemisphere coherence. Based on the results of data processing, it was found that before smoking, there was an increase in the spectral power in the delta and alpha bands. After smoking the spectral power was not only increased in the delta and alpha bands but also in the beta band. The decrease in spectral power before and after smoking both occurred in the theta band. However, the spectral power generated before smoking is smaller than after smoking. Brain functional connectivity analysis showed a significant difference before and after smoking in the intra-hemisphere and inter-hemsiphere coherence values in the theta and beta bands. QEEG can be used to characterize the brain signals of cigarette addicts and distinguish them before and after smoking.

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