Abstract
This research is mainly analyzing the correlation between Body Mass Index (BMI) and brainwave using EEG focusing only on Theta and Delta wave. Brainwave activity is measured by the number of waves or electrical frequencies that occur in a given unit of time. BMI is a measurement of body fat based on height and weight, thus, categorized into underweight, ideal weight, and overweight. Graphs were plotted and Pearson’s correlation analysis was used to demonstrate the correlation between BMI and brainwave by using Microsoft Excel and SPSS software. This research also investigates the relationship between stress and BMI due to unbalance brainwave pattern. It was observed that there is a correlation on over weight students as compared to others. Another finding is that stress is related for all categories as clearly shown in this research.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Md Kurman, Mohd Azhari 2005741836 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor S. Abdul Kadir, Ros Shilawani UNSPECIFIED Thesis advisor Murat, Zunairah UNSPECIFIED |
Subjects: | R Medicine > RC Internal Medicine > Stress. Adjustment. Adjustment disorders T Technology > TK Electrical engineering. Electronics. Nuclear engineering |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Programme: | Bachelor of Electrical Engineering (Hons) |
Keywords: | Delta, body mass index (BMI), electroencephalography (EEG) |
Date: | 2008 |
URI: | https://ir.uitm.edu.my/id/eprint/78133 |
Download
78133.pdf
Download (174kB)