A study of the effects of cigarette smoking on the brain electrical activity using fourier analysis

Date of Publication

4-2004

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Medical Physics with Specialization in Medical Instrumentation

Subject Categories

Medicine and Health Sciences

College

College of Science

Department/Unit

Physics

Thesis Adviser

Dayan Loria

Defense Panel Chair

Emmanuel T. Rodulfo

Defense Panel Member

Melanie Y. David
Ronald Macatangay

Abstract/Summary

An Electroencephalogram or commonly known as EEG, is a medical device that is used for obtaining the electrical activity of the brain. Utilizing this device, the electrical activities of the brain of randomly selected DLSU students were taken and examined using Fast Fourier spectral analysis. This study aims to determine if smoking has an effect on the brain electrical activity by analyzing the mean peak frequencies between smokers and non-smokers as well as before and after smoking. Thirty subjects were considered to participate in the brain signal gathering. The subjects were analyzed in a resting no-task condition. They were grouped into two different categories such as: smokers and non-smokers. The analysis between smokers and non-smokers using Hypothesis Testing for Independent Variables showed that there was no significant difference among the mean peak frequencies of smokers and non-smokers. The Pearson correlation analysis was also used to test the correlation of the peak frequencies of smokers before and after smoking. This gave a mathematically undefined result; hence, it is unable to determine the correlation between the peak frequencies before and after smoking. Further analysis was done between the peak frequencies of smokers before and after smoking using Testing Hypothesis for Dependent Variables. This analysis also showed no significant difference between the mean peak frequencies of smokers before and after smoking. This showed that smoking has no effect on the brain electrical activity in a resting no-task condition through analyzing the peak frequency of the Fourier Transform.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU12107; CDTU012107

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

57 leaves ; 28 cm. + ; 1 computer optical disc.

Keywords

Tobacco—Physiological effect; Brain; Electroencephalography

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3-19-2025

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