PubMed Health⌕ Search

Biomedical subjects

Peter Boord

Publications and source records attributed to Peter Boord.

4 recordsLinked to original sources

A controlled investigation into the psychological determinants of fatigue.

Driver fatigue is associated with risks of road accidents that result in injury and death. Research has been limited by several issues such as confusion over definitions, how best to measure fatigue, and the contribution of psychological factors to fatigue. This study addressed these limitations by investigating the relationship between psychological factors and fatigue. Participants were assessed and were required to perform a monotonous task till they tired. Results found few psychological factors to be related to physiological and performance decrement fatigue outcome measures. However, psychological factors were found to correlate consistently with self-reported fatigue. The results suggest that fatigue is associated with a predisposition to be anxious, depressive, less self-assured, more conscientious (rule bound), less socially bold, less adaptable and low vigour. The results indicate that future research should employ a range of fatigue outcome measures in order to best understand what factors contribute to fatigue.

Adolescent↗

Personality traits and its association with resting regional brain activity.

The association between personality and resting brain activity was investigated. Personality was assessed using the NEO-Five-factor Inventory (NEO-FFI) and resting brain activity was indexed by eyes closed EEG spectral magnitude from four frequency bands over the entire cortex. Results suggest that there are differences between males and females in the NEO-FFI personality traits. The NEO FFI traits were associated with lower frequency brain activity in both males and females. Mild significant and consistent associations were found between delta and theta activity across all cortical regions with Extraversion and Conscientiousness. There were few associations between personality traits and alpha and beta activity, this was shown in males only. Fewer associations between personality and faster frequency bands such as alpha may be due to the methodological problem of using fixed alpha bands. Multiple regression analyses showed that individual alpha frequencies had a greater contribution to personality traits than fixed band alpha waves.

Adolescent↗

The efficacy and benefits of environmental control systems for the severely disabled.

BACKGROUND: People living with a severe disability suffer substantial personal and social consequences that reduce quality of life (QOL). One potential negative impact on the QOL of a disabled person is the loss of the ability to control devices in their immediate environment (such as the television, computer, telephones, lights, doors, etc.). Consequently, research and development has been conducted on technology designed to restore independence by providing some means of control over these devices. Technology that allows a severely disabled person to gain this type of control has been called an environmental control system (ECS). The aim of this review was to evaluate critically the status and efficacy of ECS technology for the severely disabled. MATERIALS/METHODS: To achieve this, a comprehensive database search was conducted for relevant material on technical and clinical aspects of ECS control. RESULTS: The review demonstrated that there is an abundance of work conducted on ECS technology, resulting in a number of creative control systems that are designed to be used by the severely disabled. These include switching systems that utilize voice, muscle, brain activity, head motion, eye blink, breath, chin, and so on. However, the review also established that rarely has the efficacy of these systems been scientifically established. CONCLUSIONS: Severely disabled persons need access to ECS technology that has been shown to be efficacious. While the severely disabled gain benefits from using ECS technology, challenges still exist before ECS technology for the severely disabled can provide highly reliable and user-friendly device control.

Communication Devices for People with Disabilities↗

Development of an algorithm for an EEG-based driver fatigue countermeasure.

PROBLEM: Fatigue affects a driver's ability to proceed safely. Driver-related fatigue and/or sleepiness are a significant cause of traffic accidents, which makes this an area of great socioeconomic concern. Monitoring physiological signals while driving provides the possibility of detecting and warning of fatigue. The aim of this paper is to describe an EEG-based fatigue countermeasure algorithm and to report its reliability. METHOD: Changes in all major EEG bands during fatigue were used to develop the algorithm for detecting different levels of fatigue. RESULTS: The software was shown to be capable of detecting fatigue accurately in 10 subjects tested. The percentage of time the subjects were detected to be in a fatigue state was significantly different than the alert phase (P<.01). DISCUSSION: This is the first countermeasure software described that has shown to detect fatigue based on EEG changes in all frequency bands. Field research is required to evaluate the fatigue software in order to produce a robust and reliable fatigue countermeasure system. IMPACT ON INDUSTRY: The development of the fatigue countermeasure algorithm forms the basis of a future fatigue countermeasure device. Implementation of electronic devices for fatigue detection is crucial for reducing fatigue-related road accidents and their associated costs.

Accidents, Traffic↗