IJCATR Volume 10 Issue 1

Analyzing Brain Activities in Response To Music and Video Stimulants

Mohamed Fakhredine, Zahra Jaish, Houssein Ibrahim
10.7753/IJCATR1001.1004
keywords : Data Analysis, Machine learning, ANOVA, EEG: Electroencephalography, ?: Delta wave, ?: Theta wave, ?: Alpha wave, ?: beta wave, ?: Gamma wave

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Studying the effects of different stimulants on the brain is an ongoing research aiming to discover the activities and reactions of the brain. In this sake, we propose a study to show the impact of external stimuli on the human brain. The implementation includes 50 subjects exposed to four various stimuli while recording EEG. First, a control experiment is done where EEG is recorded in the absence of any stimulation. Then, EEG is recorded while the subjects are watching two consecutive sections from nature and violence videos, listening to sections of classical music and then heavy music. The recorded signals are analysed through EEGLAB. The power spectral densities are computed and an analysed. The results showed a decrease in alpha absolute power was observed in 68.1% subjects when watching the nature movie, and in 72.34% subjects when watching the violence video. An increase in alpha and beta absolute power was detected in 70.45% of subjects when listening to the heavy music. Relative power spectral density showed a significant increase of delta rhythm upon watching the video of natural scenes, and a significant increase of alpha rhythm when listening to classical music. ANOVA test is also used to verify if any effect of the stimuli can be observed on each frequency bands. The results showed that the delta rhythm’s highest values were obtained in reaction to the natural scenes video and that there is a significant relationship between alpha rhythms and the stimulus due to Classical music.
@artical{m1012021ijcatr10011004,
Title = "Analyzing Brain Activities in Response To Music and Video Stimulants",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "10",
Issue ="1",
Pages ="14 - 21",
Year = "2021",
Authors ="Mohamed Fakhredine, Zahra Jaish, Houssein Ibrahim"}
  • An interpretation of Eeg brain rythms related to different brain activities is provided
  • In the simulation rejection of artifacts is employed to reduce the number of arte facts misleading the analysis of brain activity
  • the paper allows quantitave and qualitative analysis of brain activity under different stimulants.