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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| 格式: | Thesis |
| 語言: | English |
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2008
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| 在線閱讀: | https://ir.uitm.edu.my/id/eprint/69454/1/69454.pdf |
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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 |