Analysis of cognitive fatigue using EEG parameters

Sengupta, Anwesha; Tiwari, Abhishek; Routray, Aurobinda

doi:10.1109/embc.2017.8037378

Cited by 18 publications

(10 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There have been many studies that have used the ratio of the EEG rhythm energy: ( α + θ )/ β , α / β , ( α + θ )/( α + β ), θ / β , etc. as indicators of human fatigue [ 52 – 54 ], and have indicated that their parameters are all statistically significant for fatigue state analysis [ 55 ]. De Waard and Brookhuis [ 52 ] found that the relative energy parameter ( α + θ )/ β decreased with a decrease in alertness level.…”

Section: Experimental Methodologymentioning

confidence: 99%

Research on Night Light Comfort of Pedestrian Space in Urban Park

Zhang

Dai

2021

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

The outdoor light environment significantly affects aspects of public psychological and physiological health. This study conducted experiments to quantify the effects of the light environment on visitor light comfort in urban park pedestrian space. Nine sets of lighting conditions with different average horizontal illuminance (2 lx, 6 lx, 10 lx) and colour temperatures (5600 K, 4300 K, 3000 K) were established virtual reality scenarios. Subjective light comfort was evaluated, and electroencephalogram (EEG) was measured on 18 subjects to comprehensively study the effects of different light environments on human light comfort. The results of the comprehensive evaluation showed that colour temperature had a very significant impact on subjective light comfort, with warm light being generally more favourable than cool light in enhancing human subjective light comfort. The results of the EEG analysis show that the average horizontal illuminance is an important factor in the level of physiological fatigue, and that physiological fatigue can be maintained in a superior state at an appropriate level of illuminance. Based on the results of both subjective and objective factors, a comprehensive analysis was carried out to propose a range of average horizontal illuminance (4.08 lx, 6.99 lx) and a range of colour temperature (3126 K, 4498 K) for the comprehensive light comfort zone in urban park pedestrian space.

show abstract

Section: Experimental Methodologymentioning

confidence: 99%

Research on Night Light Comfort of Pedestrian Space in Urban Park

Zhang

Dai

2021

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

show abstract

“…Studies have shown that the EEG signal is decomposed into 4 bands: delta (δ) (0.5-4 Hz), theta (θ) (4-8 Hz), alpha (α) (8-14 Hz), and beta (β) (14-30 Hz) bands, and these can be measured to detect the current mental state [38]. When the subjects were fatigued, the decreased arousal level elevated the delta power [39].…”

Section: Objective Fatigue Analysismentioning

confidence: 99%

ERP Study of Mine Management System Warning Interface under Fatigue

Bai

Shao

Zhang

et al. 2022

IJERPH

View full text Add to dashboard Cite

Due to the large volume of monitoring data in mines, concentrating on and reviewing the data for a long period of time will easily cause fatigue. To study the influence of different visual codes of early-warning interfaces on the response of individuals who are fatigued, the changes in the subjective fatigue and corresponding frequency waves are compared before and after a fatigue-inducing task, as well as using event-related potential to study the behavioral data and EEG signals of subjects who participated in an oddball task on an early-warning interface. The results showed that all 14 subjects became fatigued after the fatigue-inducing task, and the amplitude of P200 when text is used in a fatigued state was the largest, with the longest latency. The subjects showed a slower reaction time and a reduced accuracy rate, thus indicating that in designing a warning interface, when text rather than color is used as a visual code, the operating load will be larger, mental load is increased, and attention resources are consumed. The experimental results provide the basis for the design and evaluation of early-warning interfaces of mine management systems.

show abstract

“…For this research, fatigue will be de ned as "a sensation of tiredness, often accompanied by alterations in behaviour or performance, which can arise from sustained performance in a cognitively or physically demanding task" [19][20][21]. In addition to self-reported metrics and performance changes, adult BCI studies have identi ed electroencephalography (EEG) biomarkers of fatigue [22,23] most notably increases in alpha band power [24,25].…”

Section: Introductionmentioning

confidence: 99%

Fatigue in Children Using Motor Imagery and P300 Brain-Computer Interfaces

Keough

Irvine

Kelly

et al. 2023

Preprint

View full text Add to dashboard Cite

Background Brain-computer interface (BCI) technology offers children with quadriplegic cerebral palsy unique opportunities for communication, environmental exploration, learning, and game play. Research in adults demonstrates a negative impact of fatigue on BCI enjoyment, while effects on BCI performance are variable. To date, there have been no pediatric studies of BCI fatigue. The purpose of this study was to assess the effects of two different BCI paradigms, motor imagery and visual P300, on the development of self-reported fatigue and an electroencephalography (EEG) biomarker of fatigue in healthy children.Methods Thirty-seven typically-developing school-aged children were recruited to a prospective, crossover study. Participants attended three sessions: (A) motor imagery-BCI, (B) visual P300-BCI, and (C) video viewing (control). The motor imagery task involved an imagined left- or right-hand squeeze. The P300 task involved attending to one square on a 3x3 grid during a random single flash sequence. Each paradigm had respective calibration periods and a similar visual counting game. Primary outcomes were self-reported fatigue and the power of the EEG alpha band both collected during resting-state periods pre- and post-task. Self-reported fatigue was measured using a 10-point visual analog scale. EEG alpha band power was calculated as the integrated power spectral density from 8–12 Hz of the EEG spectrum.Results Thirty-two children completed the protocol (age range 7–16, 63% female). Self-reported fatigue and EEG alpha band power increased across all sessions (F(1,155) = 33.9, p < 0.001; F = 4.0(1,149), p = 0.047 respectively). No differences in fatigue development were observed between session types. There was no correlation between self-reported fatigue and EEG alpha band power change. BCI performance varied between participants and paradigms as expected but was not associated with self-reported fatigue or EEG alpha band power.Conclusion Short periods (30-mintues) of BCI use can increase self-reported fatigue and EEG alpha band power to a similar degree in children performing motor imagery and P300 BCI paradigms. Performance was not associated with our measures of fatigue; the impact of fatigue on useability and enjoyment is unclear. Our results reflect the variability of fatigue and the BCI experience more broadly in children and warrant further investigation.

show abstract

Analysis of cognitive fatigue using EEG parameters

Cited by 18 publications

References 35 publications

Research on Night Light Comfort of Pedestrian Space in Urban Park

Research on Night Light Comfort of Pedestrian Space in Urban Park

ERP Study of Mine Management System Warning Interface under Fatigue

Fatigue in Children Using Motor Imagery and P300 Brain-Computer Interfaces

Contact Info

Product

Resources

About