Analysis of correlation between body mass index (BMI) and brain wave using EEG for Alpha and Beta frequency band

R. S. S. Abdul Kadir, A. Rashid, H. A. Rahman, M. Taib, Z. H. Murat, S. Lias
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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.
利用脑电图α和β频段分析体重指数(BMI)与脑电波的相关性
本研究的重点是身体质量指数(BMI)与脑电图测量的脑电波活动之间的相关性,主要集中在α波和β波上。BMI是一种基于身高和体重的身体脂肪测量方法。以BMI为参照,对63例患者进行访谈,并将其分为3组进行脑电图记录。这三组分别是体重过轻(指数≪20)、理想体重(指数20 - 24)和超重(指数》24)。脑电波数据采用SPSS软件的配对T检验进行分析。研究发现,体重指数与超重人群脑电波模式之间的相关性高于其他两种类型。一般来说,也可以得出结论,理想体重的参与者比其他人有更少的压力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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