Merriman, Jacob 
ORCID: 0000-0003-2473-0334
(2023)
A Chromatic Approach To Fatigue Risk Quantification In The Workplace.
Doctor of Philosophy thesis, University of Liverpool.
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201383144_May2023.pdf - Author Accepted Manuscript Download (6MB) | Preview |
Abstract
Surgeons work around the clock with on-call hours leading to working overtime. Additionally, long hours with constant interruptions, complex patient care needs and draining emotional interactions with patients and families contribute to work-related fatigue. Numerous studies have made countless efforts to mitigate the effects of fatigue on ICU personnel, however, there is very little scientific proof to suggest these conclusions work. There is a lack of non-invasive technology that can monitor fatigue detection in the workplace, without the use of questionnaires. An advisory system is developed to predict the onset of fatigue in shift workers, namely surgeons, to offer strategic implementations of breaks to mitigate the beginning of potential errors that are made in the workplace. Using chromatic data processing, this thesis describes the development of an algorithm based on physiological and systematic indicators of fatigue. The physiological factors are derived from an understanding of the predicted Karolinska Sleepiness Scale (KSS) in shift workers through a pilot study, sleep quality the previous night and Heart Rate Variability. The systematic measures consider the effect of time-on-shift. The time-on-shift element may be modified with break opportunities or frequency-domain HRV measures and activity levels, which are shown to reduce the KSS scale in this work. The algorithm(s) described produce a strong correlation against KSS scores, thus mitigating the need for surgeons to fill out questionnaires on shift. They demonstrate high accuracy at predicting fatigue levels and trigger accurate alarms, alerting the user to take a break when appropriate.
| Item Type: | Thesis (Doctor of Philosophy) |
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| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 29 Nov 2023 11:03 |
| Last Modified: | 29 Nov 2023 11:03 |
| Supervisors: |
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| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3176802 |
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