In this work the electrical activity in brain or known as electroencephalogram (EEG) signal is being analyzed to study the various effects of sound on the human brain activity. The effect is in the form of variation in either frequency or in the power of different EEG bands. A biological EEG signal stimulated by Music listening reflects the state of mind, impacts the analytical brain and the subjective-artistic brain. A two channel EEG acquisition unit is being used to extract brain signal with high transfer rate as well as good SNR. This paper focused on three types of brain waves which are theta (4-7 Hz), alpha (8-12 Hz) and beta wave (13-30 Hz). The analysis is carried out using Power Spectral density (PSD), Correlation co-efficient analysis. The outcome of this research depicted that high amplitude Alpha and low amplitude Beta wave and low amplitude Alpha and high amplitude Beta wave is associated with melody and rock music respectively meanwhile theta has no effect. High power of alpha waves and low power of beta waves that obtained during low levels of sound (Melody) indicate that subjects were in relaxed state. When subjects exposed to high level of sound (Rock), beta waves power increased indicating subjects in disturbed state. Meanwhile, the decrease of alpha wave magnitude showed that subjects in tense. Thus the subject’s executional attention level is determined by analyzing the different components of EEG signal.
| Published in |
American Journal of Bioscience and Bioengineering (Volume 3, Issue 3-1)
This article belongs to the Special Issue Bio-Electronics: Biosensors, Biomedical Signal Processing, and Organic Engineering |
| DOI | 10.11648/j.bio.s.2015030301.15 |
| Page(s) | 27-33 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Electroencephalogram (EEG), Steady-State Visual Evoked Potential (SSVEP), Non-Invasive Signal Recording, Power Spectral Density (PSD), Correlation Coefficient, Brain Wave, Eeg Bands
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APA Style
Md. Kamrul Hasan, Md. Shazzad Hossain, Tarun Kanti Ghosh, Mohiuddin Ahmad. (2015). A SSVEP Based EEG Signal Analysis to Discriminate the Effects of Music Levels on Executional Attention. American Journal of Bioscience and Bioengineering, 3(3-1), 27-33. https://doi.org/10.11648/j.bio.s.2015030301.15
ACS Style
Md. Kamrul Hasan; Md. Shazzad Hossain; Tarun Kanti Ghosh; Mohiuddin Ahmad. A SSVEP Based EEG Signal Analysis to Discriminate the Effects of Music Levels on Executional Attention. Am. J. BioSci. Bioeng. 2015, 3(3-1), 27-33. doi: 10.11648/j.bio.s.2015030301.15
AMA Style
Md. Kamrul Hasan, Md. Shazzad Hossain, Tarun Kanti Ghosh, Mohiuddin Ahmad. A SSVEP Based EEG Signal Analysis to Discriminate the Effects of Music Levels on Executional Attention. Am J BioSci Bioeng. 2015;3(3-1):27-33. doi: 10.11648/j.bio.s.2015030301.15
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Download@article{10.11648/j.bio.s.2015030301.15,
author = {Md. Kamrul Hasan and Md. Shazzad Hossain and Tarun Kanti Ghosh and Mohiuddin Ahmad},
title = {A SSVEP Based EEG Signal Analysis to Discriminate the Effects of Music Levels on Executional Attention},
journal = {American Journal of Bioscience and Bioengineering},
volume = {3},
number = {3-1},
pages = {27-33},
doi = {10.11648/j.bio.s.2015030301.15},
url = {https://doi.org/10.11648/j.bio.s.2015030301.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.s.2015030301.15},
abstract = {In this work the electrical activity in brain or known as electroencephalogram (EEG) signal is being analyzed to study the various effects of sound on the human brain activity. The effect is in the form of variation in either frequency or in the power of different EEG bands. A biological EEG signal stimulated by Music listening reflects the state of mind, impacts the analytical brain and the subjective-artistic brain. A two channel EEG acquisition unit is being used to extract brain signal with high transfer rate as well as good SNR. This paper focused on three types of brain waves which are theta (4-7 Hz), alpha (8-12 Hz) and beta wave (13-30 Hz). The analysis is carried out using Power Spectral density (PSD), Correlation co-efficient analysis. The outcome of this research depicted that high amplitude Alpha and low amplitude Beta wave and low amplitude Alpha and high amplitude Beta wave is associated with melody and rock music respectively meanwhile theta has no effect. High power of alpha waves and low power of beta waves that obtained during low levels of sound (Melody) indicate that subjects were in relaxed state. When subjects exposed to high level of sound (Rock), beta waves power increased indicating subjects in disturbed state. Meanwhile, the decrease of alpha wave magnitude showed that subjects in tense. Thus the subject’s executional attention level is determined by analyzing the different components of EEG signal.},
year = {2015}
}
TY - JOUR T1 - A SSVEP Based EEG Signal Analysis to Discriminate the Effects of Music Levels on Executional Attention AU - Md. Kamrul Hasan AU - Md. Shazzad Hossain AU - Tarun Kanti Ghosh AU - Mohiuddin Ahmad Y1 - 2015/06/01 PY - 2015 N1 - https://doi.org/10.11648/j.bio.s.2015030301.15 DO - 10.11648/j.bio.s.2015030301.15 T2 - American Journal of Bioscience and Bioengineering JF - American Journal of Bioscience and Bioengineering JO - American Journal of Bioscience and Bioengineering SP - 27 EP - 33 PB - Science Publishing Group SN - 2328-5893 UR - https://doi.org/10.11648/j.bio.s.2015030301.15 AB - In this work the electrical activity in brain or known as electroencephalogram (EEG) signal is being analyzed to study the various effects of sound on the human brain activity. The effect is in the form of variation in either frequency or in the power of different EEG bands. A biological EEG signal stimulated by Music listening reflects the state of mind, impacts the analytical brain and the subjective-artistic brain. A two channel EEG acquisition unit is being used to extract brain signal with high transfer rate as well as good SNR. This paper focused on three types of brain waves which are theta (4-7 Hz), alpha (8-12 Hz) and beta wave (13-30 Hz). The analysis is carried out using Power Spectral density (PSD), Correlation co-efficient analysis. The outcome of this research depicted that high amplitude Alpha and low amplitude Beta wave and low amplitude Alpha and high amplitude Beta wave is associated with melody and rock music respectively meanwhile theta has no effect. High power of alpha waves and low power of beta waves that obtained during low levels of sound (Melody) indicate that subjects were in relaxed state. When subjects exposed to high level of sound (Rock), beta waves power increased indicating subjects in disturbed state. Meanwhile, the decrease of alpha wave magnitude showed that subjects in tense. Thus the subject’s executional attention level is determined by analyzing the different components of EEG signal. VL - 3 IS - 3-1 ER -
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