Comparison of brainwave pattern for alpha state between smokers and non smokers after motion technology / Amyza Ibrahim

This paper presents a research project on analyzing the brainwave pattern with correlation to motion technology using Electroencephalogram (EEG). Motion technology is an experimental method, or process designed to relax the physical body and synchronize the electrical activity of the brain through h...

Full description

Saved in:
Bibliographic Details
Main Author: Ibrahim, Amyza
Format: Thesis
Language:English
Published: 2007
Online Access:https://ir.uitm.edu.my/id/eprint/68367/1/68367.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uitm-ir.68367
record_format uketd_dc
spelling my-uitm-ir.683672023-08-07T08:49:05Z Comparison of brainwave pattern for alpha state between smokers and non smokers after motion technology / Amyza Ibrahim 2007 Ibrahim, Amyza This paper presents a research project on analyzing the brainwave pattern with correlation to motion technology using Electroencephalogram (EEG). Motion technology is an experimental method, or process designed to relax the physical body and synchronize the electrical activity of the brain through horizontal rotation measurement. The brainwaves of twenty one samples were observed before and after the motion treatment using EEG equipment. In addition, each sample undergoes at least 5 sessions of treatments. A short interview was carried out for each respondent to confirm the results. In general, the result shows that the motion treatment produces significant improvement in terms of increasing alpha state signal of the brain. It was found that this treatment produces a significant improvement in terms of health condition and could reduce smoking. 2007 Thesis https://ir.uitm.edu.my/id/eprint/68367/ https://ir.uitm.edu.my/id/eprint/68367/1/68367.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Murat, Zunairah
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Murat, Zunairah
description This paper presents a research project on analyzing the brainwave pattern with correlation to motion technology using Electroencephalogram (EEG). Motion technology is an experimental method, or process designed to relax the physical body and synchronize the electrical activity of the brain through horizontal rotation measurement. The brainwaves of twenty one samples were observed before and after the motion treatment using EEG equipment. In addition, each sample undergoes at least 5 sessions of treatments. A short interview was carried out for each respondent to confirm the results. In general, the result shows that the motion treatment produces significant improvement in terms of increasing alpha state signal of the brain. It was found that this treatment produces a significant improvement in terms of health condition and could reduce smoking.
format Thesis
qualification_level Bachelor degree
author Ibrahim, Amyza
spellingShingle Ibrahim, Amyza
Comparison of brainwave pattern for alpha state between smokers and non smokers after motion technology / Amyza Ibrahim
author_facet Ibrahim, Amyza
author_sort Ibrahim, Amyza
title Comparison of brainwave pattern for alpha state between smokers and non smokers after motion technology / Amyza Ibrahim
title_short Comparison of brainwave pattern for alpha state between smokers and non smokers after motion technology / Amyza Ibrahim
title_full Comparison of brainwave pattern for alpha state between smokers and non smokers after motion technology / Amyza Ibrahim
title_fullStr Comparison of brainwave pattern for alpha state between smokers and non smokers after motion technology / Amyza Ibrahim
title_full_unstemmed Comparison of brainwave pattern for alpha state between smokers and non smokers after motion technology / Amyza Ibrahim
title_sort comparison of brainwave pattern for alpha state between smokers and non smokers after motion technology / amyza ibrahim
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2007
url https://ir.uitm.edu.my/id/eprint/68367/1/68367.pdf
_version_ 1783735774234017792