Analyzing the Theta state of brainwave signal after HR intervention using EEG / Muhammad Fariz Samsul

This research analyzing the Theta state of brainwave using EEG and Horizontal Rotation (HR). EEG signals were captured from 32 students for 3 sessions, beginning, middle and end of semester before and after they underwent HR using two-channel bipolar connection in a controlled environment. The signa...

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Main Author: Samsul, Muhammad Fariz
Format: Thesis
Language:English
Published: 2008
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/69454/1/69454.pdf
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spelling my-uitm-ir.694542023-03-27T07:49:25Z Analyzing the Theta state of brainwave signal after HR intervention using EEG / Muhammad Fariz Samsul 2008 Samsul, Muhammad Fariz Electricity and magnetism Information technology. Information systems This research analyzing the Theta state of brainwave using EEG and Horizontal Rotation (HR). EEG signals were captured from 32 students for 3 sessions, beginning, middle and end of semester before and after they underwent HR using two-channel bipolar connection in a controlled environment. The signals were filtered and classified into four main frequency bands: Delta, Theta, Alpha and Beta. The Theta states of brainwave were taken out for analyses. Graphs were plotted and paired T-test analysis was used to show the correlation between the left and right brainwave before and after HR to verify the brainwave synchronization. Another test was done to show the student's brainwave behavior for 3 sessions, beginning, middle and end of semester. It was observed that after HR, brainwaves were more balanced for all three sessions. In conclusion, there was proven that HR could synchronize brainwave. 2008 Thesis https://ir.uitm.edu.my/id/eprint/69454/ https://ir.uitm.edu.my/id/eprint/69454/1/69454.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering S. Abdul Kadir, Ros Shilawani
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor S. Abdul Kadir, Ros Shilawani
topic Electricity and magnetism
Electricity and magnetism
spellingShingle Electricity and magnetism
Electricity and magnetism
Samsul, Muhammad Fariz
Analyzing the Theta state of brainwave signal after HR intervention using EEG / Muhammad Fariz Samsul
description This research analyzing the Theta state of brainwave using EEG and Horizontal Rotation (HR). EEG signals were captured from 32 students for 3 sessions, beginning, middle and end of semester before and after they underwent HR using two-channel bipolar connection in a controlled environment. The signals were filtered and classified into four main frequency bands: Delta, Theta, Alpha and Beta. The Theta states of brainwave were taken out for analyses. Graphs were plotted and paired T-test analysis was used to show the correlation between the left and right brainwave before and after HR to verify the brainwave synchronization. Another test was done to show the student's brainwave behavior for 3 sessions, beginning, middle and end of semester. It was observed that after HR, brainwaves were more balanced for all three sessions. In conclusion, there was proven that HR could synchronize brainwave.
format Thesis
qualification_level Bachelor degree
author Samsul, Muhammad Fariz
author_facet Samsul, Muhammad Fariz
author_sort Samsul, Muhammad Fariz
title Analyzing the Theta state of brainwave signal after HR intervention using EEG / Muhammad Fariz Samsul
title_short Analyzing the Theta state of brainwave signal after HR intervention using EEG / Muhammad Fariz Samsul
title_full Analyzing the Theta state of brainwave signal after HR intervention using EEG / Muhammad Fariz Samsul
title_fullStr Analyzing the Theta state of brainwave signal after HR intervention using EEG / Muhammad Fariz Samsul
title_full_unstemmed Analyzing the Theta state of brainwave signal after HR intervention using EEG / Muhammad Fariz Samsul
title_sort analyzing the theta state of brainwave signal after hr intervention using eeg / muhammad fariz samsul
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2008
url https://ir.uitm.edu.my/id/eprint/69454/1/69454.pdf
_version_ 1783735881823158272