Sayed Daud, Syarifah Noor Syakiylla and Sudirman, Rubita (2022) Effect of audiovisual stimulation on adult memory performance based electroencephalography wavelet analysis. Biomedical Signal Processing and Control, 7 (NA). pp. 1-14. ISSN 6174-6809
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Official URL: http://dx.doi.org/10.1016/j.bspc.2022.103659
Abstract
Human memory stores various information and events that can be retrieved when needed. Many factors can influence memory performance which either provide positive or negative feedback. This research investigates the effect of audiovisual stimulation on adult memory based on electroencephalography (EEG) analysis. Sixty college students are participating in this experimental study. They must memorize visual assessment at two different levels in Mozart's Sonata music and white noise stimulation. During memorizing duration, the EEG machine records brain electrical activity based on 10–20 electrode placement. The collected raw brain signals are processed using the wavelet-based method. The stationary wavelet transform (SWT) is used for artifact elimination, whereas discrete wavelet transform (DWT) is applied to obtain alpha, beta, theta, and gamma rhythms. The time–frequency domain features are collected from the EEG signals to discover the influence of audiovisual stimulation. The findings showed a different increasing and decreasing trend of mean, standard deviation, and peak-to-peak EEG signal amplitude before and after audiovisual stimulation exposure. The theta and alpha rhythms showed the most influence with the highest relative power. Suppression of relative gamma and beta power is vital for improving visual information processing and attention level. Memorizing in audio stimulation has suppressed the relative alpha, beta, theta, and gamma power, leading to better visual memorizing ability. The white noise stimulation provides more influence on adult visual memory.
Item Type: | Article |
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Uncontrolled Keywords: | Audiovisual stimulation, Brain features, Electroencephalography, Mozart's Sonata music, Relative power, Visual memory, White noise |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 101235 |
Deposited By: | Widya Wahid |
Deposited On: | 01 Jun 2023 10:04 |
Last Modified: | 13 Nov 2023 06:20 |
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