Music of brain stress level

This report contains the introduction of terminology used in the project and the description of the process of developing a sonification system, which transforms a human brain EEG signal to a piece of music. The EEG signals under relaxation and stress would undergo the sonification process, and the...

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Main Author: Li, Dongkai
Other Authors: Er Meng Joo
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/60206
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-602062023-07-07T17:09:45Z Music of brain stress level Li, Dongkai Er Meng Joo School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation This report contains the introduction of terminology used in the project and the description of the process of developing a sonification system, which transforms a human brain EEG signal to a piece of music. The EEG signals under relaxation and stress would undergo the sonification process, and the resulted music pieces were taken down and compared. This sonification system could be used in indicating various pressure levels and analyzing the complex nature of the signal, especially in the area of neurofeedback therapy. The sonification system was created using Matlab to extract the useful signal information and to apply the sonification rules. The system would produce music note data as output. Then, a music creation software called FL Studio was used to transfer the music note data into music piece. The sonification rules applied in the process were taken from a study entitled “Scale-Free Music of the Brain”. The 2 musical pieces created had distinct differences in the areas of rhythm, pitch and volume changes. In the area of rhythm, the EEG under relaxation produced a musical piece that had a livelier and more peaceful rhythm than the musical piece of the EEG under stress. For pitch and volume change, the musical piece of the EEG under stress had sharper pitch and volume changes. Another sonification rule can be applied to get better result to analyze the music under different mental state. However, this sonification rule has not been used in this project due to the limitation of data. Bachelor of Engineering 2014-05-23T07:04:50Z 2014-05-23T07:04:50Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60206 en Nanyang Technological University 50 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Li, Dongkai
Music of brain stress level
description This report contains the introduction of terminology used in the project and the description of the process of developing a sonification system, which transforms a human brain EEG signal to a piece of music. The EEG signals under relaxation and stress would undergo the sonification process, and the resulted music pieces were taken down and compared. This sonification system could be used in indicating various pressure levels and analyzing the complex nature of the signal, especially in the area of neurofeedback therapy. The sonification system was created using Matlab to extract the useful signal information and to apply the sonification rules. The system would produce music note data as output. Then, a music creation software called FL Studio was used to transfer the music note data into music piece. The sonification rules applied in the process were taken from a study entitled “Scale-Free Music of the Brain”. The 2 musical pieces created had distinct differences in the areas of rhythm, pitch and volume changes. In the area of rhythm, the EEG under relaxation produced a musical piece that had a livelier and more peaceful rhythm than the musical piece of the EEG under stress. For pitch and volume change, the musical piece of the EEG under stress had sharper pitch and volume changes. Another sonification rule can be applied to get better result to analyze the music under different mental state. However, this sonification rule has not been used in this project due to the limitation of data.
author2 Er Meng Joo
author_facet Er Meng Joo
Li, Dongkai
format Final Year Project
author Li, Dongkai
author_sort Li, Dongkai
title Music of brain stress level
title_short Music of brain stress level
title_full Music of brain stress level
title_fullStr Music of brain stress level
title_full_unstemmed Music of brain stress level
title_sort music of brain stress level
publishDate 2014
url http://hdl.handle.net/10356/60206
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