The Influence of Driving Duration, Body Mass Index, Types of Roads and Gender on Decision-Making Skills through β-Waves Analysis in Fatigue Driving

Indexed by Tier 2 -Scopus/MyCite

Saved in:
Bibliographic Details
Main Authors: Muhammad Shafiq Ibrahim, Seri Rahayu Kamat, Nor Azila Noh
Format: journal::journal article
Language:en_US
Published: Universiti Putra Malaysia 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1858062703389573120
author Muhammad Shafiq Ibrahim
Seri Rahayu Kamat
Nor Azila Noh
author_facet Muhammad Shafiq Ibrahim
Seri Rahayu Kamat
Nor Azila Noh
author_sort Muhammad Shafiq Ibrahim
building USIM Library
collection Institutional Repository
content_provider Universiti Sains Islam Malaysia
content_source USIM Institutional Repository
continent Asia
country Malaysia
description Indexed by Tier 2 -Scopus/MyCite
format text::journal::journal article
id my.usim.oarep-28811
institution Universiti Sains Islam Malaysia
language en_US
publishDate 2026
publisher Universiti Putra Malaysia
record_format dspace
spelling my.usim.oarep-288112026-02-09T03:33:39Z The Influence of Driving Duration, Body Mass Index, Types of Roads and Gender on Decision-Making Skills through β-Waves Analysis in Fatigue Driving Muhammad Shafiq Ibrahim Seri Rahayu Kamat Nor Azila Noh Driving fatigue Beta waves Decision-making skills Regression analysis Design expert Indexed by Tier 2 -Scopus/MyCite The research on driving fatigue is gaining popularity as the frequency of fatigue-related accidents increases in many countries. However, there has been limited study on the importance of cognitive skills like decision-making skills (DMS) and the variables that influence them in indicating driving fatigue. The study aims to conduct a regression analysis to determine whether variables such as driving duration, body mass index (BMI), types of roads and gender are relevant in influencing DMS and how these variables interact to suggest driving fatigue. Previous research has not examined the combination of these four variables. Materials and methods: DMS was assessed using an electroencephalogram (EEG) through beta, β brain waves. The EEG frequency was recorded for five minutes before driving and completing the driving assignment. The regression analysis was performed using Design Expert software. Results: The Analysis of Variance (ANOVA) found that all variables have Prob > F values less than 0.05, indicating significant effect on β-waves (DMS). Overall, as the driver fatigues, β-waves decrease, indicating an impairment in DMS. β-waves decrease as driving duration and BMI increase due to the stress of dealing with hazardous driving conditions and obesity-related health concerns, respectively. β-waves drop as road geometry changes from winding to monotonous and gender changes from male to female because of physiological signs of boredom generated by road geometry and sex hormone variations, respectively. Conclusion: The findings could be a reference to road safety professionals to control the cause of driving fatigue and hence lower the number of road accidents. 2026-02-09T03:33:39Z 2026-02-09T03:33:39Z 2025-07-31 text::journal::journal article Muhammad Shafiq Ibrahim, Seri Rahayu Kamat & Nor Azila Noh (2025). The Influence of Driving Duration, Body Mass Index, Types of Roads and Gender on Decision-Making Skills through β-Waves Analysis in Fatigue Driving. Malaysian Journal of Medicine and Health Sciences, 21(4), 24–31. https://doi.org/10.47836/mjmhs.21.4.4 2636-9346 10.47836/mjmhs.21.4.4 https://oarep.usim.edu.my/handle/123456789/28811 1 27 21 4 en_US Malaysian Journal of Medicine and Health Sciences 2636-9346 1675-8544 Universiti Putra Malaysia
spellingShingle Driving fatigue
Beta waves
Decision-making skills
Regression analysis
Design expert
Muhammad Shafiq Ibrahim
Seri Rahayu Kamat
Nor Azila Noh
The Influence of Driving Duration, Body Mass Index, Types of Roads and Gender on Decision-Making Skills through β-Waves Analysis in Fatigue Driving
title The Influence of Driving Duration, Body Mass Index, Types of Roads and Gender on Decision-Making Skills through β-Waves Analysis in Fatigue Driving
title_full The Influence of Driving Duration, Body Mass Index, Types of Roads and Gender on Decision-Making Skills through β-Waves Analysis in Fatigue Driving
title_fullStr The Influence of Driving Duration, Body Mass Index, Types of Roads and Gender on Decision-Making Skills through β-Waves Analysis in Fatigue Driving
title_full_unstemmed The Influence of Driving Duration, Body Mass Index, Types of Roads and Gender on Decision-Making Skills through β-Waves Analysis in Fatigue Driving
title_short The Influence of Driving Duration, Body Mass Index, Types of Roads and Gender on Decision-Making Skills through β-Waves Analysis in Fatigue Driving
title_sort influence of driving duration, body mass index, types of roads and gender on decision-making skills through β-waves analysis in fatigue driving
topic Driving fatigue
Beta waves
Decision-making skills
Regression analysis
Design expert
url_provider http://oarep.usim.edu.my/