Analyzing the Delta state brainwave signal after HR intervention using (EEG) / Wan Mohd Shahril Wan Mohammad
This research is about analyzing the Delta state of brainwave using EEG and Horizontal Rotation (HR). EEG signals were captured from 32 students for 3 sessions, beginning of semester, middle and end of semester before and after they underwent HR using two-channel bipolar connection in a controlled e...
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2008
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my-uitm-ir.781312023-07-20T02:07:51Z Analyzing the Delta state brainwave signal after HR intervention using (EEG) / Wan Mohd Shahril Wan Mohammad 2008 Wan Mohammad, Wan Mohd Shahril QP Physiology This research is about analyzing the Delta state of brainwave using EEG and Horizontal Rotation (HR). EEG signals were captured from 32 students for 3 sessions, beginning of semester, 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 Delta 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 after the two sessions, middle and the end of semester. In conclusion, there was proven that HR could synchronize brainwave. 2008 Thesis https://ir.uitm.edu.my/id/eprint/78131/ https://ir.uitm.edu.my/id/eprint/78131/1/78131.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 |
QP Physiology |
| spellingShingle |
QP Physiology Wan Mohammad, Wan Mohd Shahril Analyzing the Delta state brainwave signal after HR intervention using (EEG) / Wan Mohd Shahril Wan Mohammad |
| description |
This research is about analyzing the Delta state of brainwave using EEG and Horizontal Rotation (HR). EEG signals were captured from 32 students for 3 sessions, beginning of semester, 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 Delta 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 after the two sessions, middle and the end of semester. In conclusion, there was proven that HR could synchronize brainwave. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Wan Mohammad, Wan Mohd Shahril |
| author_facet |
Wan Mohammad, Wan Mohd Shahril |
| author_sort |
Wan Mohammad, Wan Mohd Shahril |
| title |
Analyzing the Delta state brainwave signal after HR intervention using (EEG) / Wan Mohd Shahril Wan Mohammad |
| title_short |
Analyzing the Delta state brainwave signal after HR intervention using (EEG) / Wan Mohd Shahril Wan Mohammad |
| title_full |
Analyzing the Delta state brainwave signal after HR intervention using (EEG) / Wan Mohd Shahril Wan Mohammad |
| title_fullStr |
Analyzing the Delta state brainwave signal after HR intervention using (EEG) / Wan Mohd Shahril Wan Mohammad |
| title_full_unstemmed |
Analyzing the Delta state brainwave signal after HR intervention using (EEG) / Wan Mohd Shahril Wan Mohammad |
| title_sort |
analyzing the delta state brainwave signal after hr intervention using (eeg) / wan mohd shahril wan mohammad |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2008 |
| url |
https://ir.uitm.edu.my/id/eprint/78131/1/78131.pdf |
| _version_ |
1783736218389839872 |