Comparison of Two Instrumental Assessment of Mental Fatigue
Mental fatigue (MF) is considered as a contributor factor in incident, even catastrophic one. Electroencephalography measurement has been the most acceptable method to assess MF by neurologists. However, this method could be hardly feasible in real work setting. Flicker fusion device, by contrast, is more usable at work setting. The purpose of this study was to compare the Critical Flicker Fusion Frequency (CFFF) with Electroencephalograph (EEG) alpha band changes (as indicators of mental fatigue). The study took place in Zanjan (2015) and the participants included 35 volunteer students that passed a three-step experiment protocol: 1) Measuring MF via CFFF and EEGα, 2) Involving the participants with MF-induced tasks, and 3) Re-measuring MF via the same methods. The results showed that differences of MF assessment by EEG (P= 0.001), and CFFF (P= 0.004) were significant. However, the correlation between them was weak (-0.069) and not significant (P= 0.688). The findings of this study confirmed that the flicker fusion apparatus could measure MF as a before-after test. However, the results of CFFF were not correspondence with the results EEGα. Therefore, more studies need to get conclusion about how the results of these instruments may related to each other. Considering other regions or waves of the brain might be promising.
Hosokawa T, Mikami K, Saito K. Basic study of the portable fatigue meter: effects of illumination, distance from eyes and age. Ergonomics 1997; 40(9): 887-94.
Hwang S-L, Yau Y-J, Lin Y-T, Chen J-H, Huang T-H, Yenn T-C, et al. Predicting work performance in nuclear power plants. Safety Science 2008; 46(7): 1115-24.
van der Linden D, Frese M, Meijman TF. Mental fatigue and the control of cognitive processes: effects on perseveration and planning. Acta Psychol 2003; 113(1): 45-65.
Lal SK, Craig A. A critical review of the psychophysiology of driver fatigue. Biol Psychol 2001 55(3): 173-94.
Saito K. Measurement of fatigue in industries. Ind Health 1999; 37(2): 134-42.
Liu J, Zhang C, Zheng C. EEG-based estimation of mental fatigue by using KPCA–HMM and complexity parameters. Biomed Signal Process Control 2010;5(2):124-30.
Brookings JB, Wilson GF, Swain CR. Psychophysiological responses to changes in workload during simulated air traffic control. Biol Psychol 1996; 42(3): 361-77.
Schier MA. Changes in EEG alpha power during simulated driving: a demonstration. Int J Psychophysiol 2000; 37(2): 155-62.
Simon M, Schmidt EA, Kincses WE, Fritzsche M, Bruns A, Aufmuth C, et al. EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions. Clin Neurophysiol 2011; 122(6): 1168-78.
Ntuen CA. The Application of Fuzzy Set Theory to Cognitive Workload Evaluation of Electronic Circuit Board Inspectors. Hum Factors Ergon Manuf 1999; 9(3): 291–301.
Irving K. On Binocular Flicker and the Correlation of Activity of 'Corres-ponding' Retinal Points. CS Sherrington. British Jr. of Psychology, 1904, I., 26-60. Professor Sherrington's main problem is the nature of the 'tie' between corresponding retinal points—the point in the psychophysical. Psychol Bull 1904; 1: 26-60
Colgan CM. The relation between critical flicker frequency and several psychological variables. PhD thesis, University of Florida; USA, 1954.
Łuczak A, Sobolewski A. Longitudinal changes in critical flicker fusion frequency: an indicator of human workload. Ergonomics 2005; 48(15): 1770-92.
Daetwyler K, Borgmeier P, Digre K, Warner J, Creel D, Weinberg D, et al., editors. A Novel Device to Measure Critical Flicker Fusion Frequency; North American Neuro-Ophthalmology Society Annual Meeting, Feb 2007; Minneapolis, USA.
MacNab MW, Foltz E, Sweitzer J. Evaluation of signal detection theory on the effects of psychotropic drugs on critical flicker-fusion frequency in normal subjects. Psychopharmacology 1985; 85(4): 431-5.
Shankar H, Pesudovs K. Critical flicker fusion test of potential vision. J Cataract Refract Surg 2007; 33(2): 232-9.
Chaudhuri A, Behan PO. Fatigue in neurological disorders. Lancet 2004; 363(9413): 978-88.
Bullard SE, Griss M, Greene S, Gekker A. Encyclopedia of Clinical Neuropsychology. Arch Clin Neuropsychol 2013; 28(1): 92-92.
Grego F, Vallier J, Collardeau M, Rousseu C, Cremieux J, Brisswalter J. Influence of exercise duration and hydration status on cognitive function during prolonged cycling exercise. Int J Sports Med 2005; 26(1): 27-33.