Analysis the Effect of Listening Music on the Human Brain by Using Electroencephalogram (EEG) Technique

This research investigates the impact of music reflexology on brain activity, utilizing Electroencephalogram (EEG) features to analyze neurological responses. The study addresses two primary objectives: Identifying the effectiveness of music listening on humans and analyzing the relationship between different signals released by the different activity and music reflexology using EEG feature (Alpha, Beta, and Theta Bands). EEG data were collected from various subjects during induced stress (Cognitive task English comprehension test) and listening to the music in the reflexology sessions. EEG signal comparisons across various activities reveal that stress or cognitive demands increase Beta wave activity while decreasing Alpha and Theta waves. Conversely, relaxing activities like listening to calming music increase Alpha and Theta waves and reduce Beta waves. In conclusion, music significantly influences human emotions and physiological states, particularly through compositions with slow tempos, harmonic structures, and acoustic instruments that enhance relaxation and reduce stress.

Authors

Institutions

Publication Details

Published
2025-03-20
DOI
https://doi.org/10.1109/iccae64891.2025.10980594
Citations
2
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
2.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis the Effect of Listening Music on the Human Brain by Using Electroencephalogram (EEG) Technique

Wan Azani Mustafa, Wen Yean Choong, Wan Khairunizam, A. R. S. Harsono
2 citations
EEG and Brain-Computer Interfaces
2.86
article

Analysis the Effect of Listening Music on the Human Brain by Using Electroencephalogram (EEG) Technique

Wan Azani Mustafa, Wen Yean Choong, Wan Khairunizam, A. R. S. Harsono
article en
2 citations

Abstract

This research investigates the impact of music reflexology on brain activity, utilizing Electroencephalogram (EEG) features to analyze neurological responses. The study addresses two primary objectives: Identifying the effectiveness of music listening on humans and analyzing the relationship between different signals released by the different activity and music reflexology using EEG feature (Alpha, Beta, and Theta Bands). EEG data were collected from various subjects during induced stress (Cognitive task English comprehension test) and listening to the music in the reflexology sessions. EEG signal comparisons across various activities reveal that stress or cognitive demands increase Beta wave activity while decreasing Alpha and Theta waves. Conversely, relaxing activities like listening to calming music increase Alpha and Theta waves and reduce Beta waves. In conclusion, music significantly influences human emotions and physiological states, particularly through compositions with slow tempos, harmonic structures, and acoustic instruments that enhance relaxation and reduce stress.

Universiti Malaysia Perlis (MY)
Reduced inequalities
Openalex Percentile: Top 10%
EEG and Brain-Computer Interfaces
2.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.