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Brain Signal Analysis to Investigate Sound Effect on Memorization

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Electroencephalography is an imaging of the electrical signal of the brain. It is widely use among the researcher compared to other techniques since it is affordable, non-invasive, able to record the signal in short time and painless to the subject. The brain signal can be divided into five specific frequency that known as alpha, beta, theta, delta and gamma band. These frequency bands will determine the characteristics of the brain signal. In this present study, the effect of sound stimuli in memorizing process is analyzed based on the relative power of the brain rhythm. Besides that, in this proposed study it is also aim to determine the effective sound stimuli for improving memorization. About 60 adults participated in this study. They are required to memorize the visual memory task at three different conditions, which are silence condition, listening to Mozart music, and listening to white noise, each for 2 minutes. The brain signal was recorded using Neurofax 9200 of EEG machine during the memorizing process. The wavelet approach was used for EEG data processing and the relative power was calculated for each of the frequency band except delta rhythm from the clean EEG signal. The result showed that listening to sound stimuli during memorizing gave significant influence on gamma and beta activity. Based on paired t-test analysis it revealed that the gamma and beta showed more significant different at white noise (gamma: p = 0.001 < 0.050; beta: p = 0.000 < 0.050) compared to Mozart music relative (gamma: p = 0.014 < 0.050; beta: p = 0.004 < 0.050) to silent condition. It indicates that the white noise is more effective to be listened during memorizing since it able to increase the alertness level of the subject and sensory processing of the input information.
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Keywords: Brain Characteristic; Electroencephalography Relative Power; Stimuli Wavelet

Document Type: Research Article

Affiliations: Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia

Publication date: November 1, 2017

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