Measurement and Identification of Human Brain Wave Signals while Listening to Al-Quran Recitation using Electroencephalogram (EEG) and Fourier Analysis
Elin Yusibani, Ayu Mahara, Fahyumi Senye, Fashbir, Adi Rahwanto, Evi Yufita

Physics Department Faculty of Mathematics and Natural Sciences Universitas Syiah Kuala Banda Aceh Indonesia, 23111

Abstract

Brain signals are not entirely random- they exhibit periodic properties in their components. Various studies have been conducted to determine the clinical, physiological, and psychological effects of these signals. However, the underlying mechanisms behind these signals have not been widely explored. The recorded Electroencephalogram (EEG) signal patterns are associated with mental activity, levels of consciousness, physiological conditions, and brain pathology. Generally, the human brain produces five basic signals: delta, theta, alpha, beta, and gamma. These signals function optimally in different situations, and disruptions in their production can lead to various issues. An increase in the amplitude of the theta and alpha waves can indicate a person^s comfort level. Individuals with higher alpha levels tend to be less easily agitated, which indirectly supports the immune system. Fourier Analysis was applied to identify EEG signal patterns while listening to Quran recitation. Electrodes were placed using the 10 - 20 system, and brain wave signals were recorded for approximately 3 minutes. The signals were then analyzed to assess the impact of listening to Quran recitation.

Keywords: EEG, Fourier analysis, brain wave signal, al quran recital

Topic: Biophysics and Medical Nuclear Physics