Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

Wang, Jun

Committee Member

Truax, Dennis D.

Committee Member

Howard, Isaac L.

Date of Degree

8-7-2020

Original embargo terms

Visible to MSU only for 2 years

Document Type

Graduate Thesis - Open Access

Major

Civil Engineering

Degree Name

Master of Science

Degree Name

Master of Science (M.S.)

College

James Worth Bagley College of Engineering

College

James Worth Bagley College of Engineering

Department

Department of Civil and Environmental Engineering

Department

Department of Civil and Environmental Engineering

Abstract

The job-related fatality rate in the construction industry is high as a result of multiple factors associated with the safety of workers. However, mental fatigue, a prominent factor affecting one’s hazard perception, from engagement in construction tasks and its effects on fall hazard has not been adequately studied. This thesis proposes a two-trajectory framework to assess mental fatigue using Electroencephalography (EEG). Primarily, Wavelet Packet Decomposition (WPD) was used to obtain energy in each brain wave, and seven mental fatigue indices including θ, α, β, α/β, θ/α, θ/β, and (θ + α)/β were calculated. Secondarily, sample entropy (SampleEn) values were calculated for groups under comparison to examine the results from the WPD. Results from the adopted method suggest that typical construction activities and height exposure can cause mental fatigue and reduce vigilance level in workers. It is essential to have a quantitative approach for continuous cognitive monitoring to enhance construction safety.

URI

https://hdl.handle.net/11668/17902

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