R. S. S. Abdul Kadir, A. Rashid, H. A. Rahman, M. Taib, Z. H. Murat, S. Lias
{"title":"Analysis of correlation between body mass index (BMI) and brain wave using EEG for Alpha and Beta frequency band","authors":"R. S. S. Abdul Kadir, A. Rashid, H. A. Rahman, M. Taib, Z. H. Murat, S. Lias","doi":"10.1109/CSPA.2009.5069234","DOIUrl":null,"url":null,"abstract":"This research focuses on the correlation between body mass index (BMI) and brainwave activity measured using EEG, concentrating on Alpha and Beta waves. BMI is a measurement of body fat based on height and weight. Using BMI as reference, all 63 samples were given interviewed and then categorized into 3 groups before undergoing EEG recording. The groups are underweight (index ≪20), ideal weight (index 20–24) and overweight (index ≫24). The brainwaves data were analyzed using paired T test from SPSS software. It was observed that there were higher correlations between BMI and brainwave pattern for overweight category as compared to the other two. Generally, it can also be concluded that ideal weight participants have less stress than the others do.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"149 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 5th International Colloquium on Signal Processing & Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSPA.2009.5069234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This research focuses on the correlation between body mass index (BMI) and brainwave activity measured using EEG, concentrating on Alpha and Beta waves. BMI is a measurement of body fat based on height and weight. Using BMI as reference, all 63 samples were given interviewed and then categorized into 3 groups before undergoing EEG recording. The groups are underweight (index ≪20), ideal weight (index 20–24) and overweight (index ≫24). The brainwaves data were analyzed using paired T test from SPSS software. It was observed that there were higher correlations between BMI and brainwave pattern for overweight category as compared to the other two. Generally, it can also be concluded that ideal weight participants have less stress than the others do.