Research on Mental Fatigue Detecting Method Based on Sleep Deprivation Models_Journal of Biomedical Engineering

Authors：

WANGXiaolu ¹ , GAOXiang ¹ , XUMinpeng ¹ , QIHongzhi ^1,2 , WANGXuemin ^1,2 , MINGDong ^1,2 ,  ZHOUPeng ^1,2

1. College of Precision Instrument and Opto-Electronic Engineering, Tianjin University, Tianjin 300072, China;
2. Tianjin Key Laboratory of Biomedical Detecting Techniques & Instruments, Tianjin 300072, China;

Corresponding author：

ZHOUPeng, Email: zpzp@tju.edu.cn

Keywords：

electroencephalogram spectral; sleep deprivation; mental fatigue detection; linear regression model

DOI：

10.7507/1001-5515.20150091

Video：

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Abstract Full text Figures/Tables Video References Cited by

Mental fatigue is an important factor of human health and safety. It is important to achieve dynamic mental fatigue detection by using electroencephalogram (EEG) signals for fatigue prevention and job performance improvement. We in our study induced subjects' mental fatigue with 30 h sleep deprivation (SD) in the experiment. We extracted EEG features, including relative power, power ratio, center of gravity frequency (CGF), and basic relative power ratio. Then we built mental fatigue prediction model by using regression analysis. And we conducted lead optimization for prediction model. Result showed that R² of prediction model could reach to 0.932. After lead optimization, 4 leads were used to build prediction model, in which R² could reach to 0.811. It can meet the daily application accuracy of mental fatigue prediction.

Citation： WANGXiaolu, GAOXiang, XUMinpeng, QIHongzhi, WANGXuemin, MINGDong, ZHOUPeng. Research on Mental Fatigue Detecting Method Based on Sleep Deprivation Models. Journal of Biomedical Engineering, 2015, 32(3): 497-502. doi: 10.7507/1001-5515.20150091 Copy

1.	TANAKA M, ISHⅡ A, WATANABE Y. Neural effect of mental fatigue on physical fatigue:a magnetoencephalography study[J]. Brain Res, 2014, 1542(1):49-55.
2.	WILLIAMSON A, LOMBARDI D A, FOLKARD S, et al. The Link between fatigue and safety[J]. Accid Anal Prev, 2011, 43(2, SI):498-515.
3.	HELTON W S, RUSSELL P N. Working memory load and the vigilance decrement[J]. Exp Brain Res, 2011, 212(3):429-437.
4.	MALLIS M M, DEROSHIA C W. Circadian rhythms, sleep, and performance in space[J]. Aviat Space Environ Med, 2005, 76(6, S):B94-B107.
5.	LAURENT F, VALDERRAMA M, BESSERVE M, et al. Multimodal information improves the rapid detection of mental fatigue[J]. Biomed Signal Process Control, 2013, 8(4):400-408.
6.	LAWHERN V, KERICK S, ROBBINS K A. Detecting alpha spindle events in EEG time series using adaptive autoregressive models[J]. BMC Neurosci, 2013, 14(1):101.
7.	BORGHINI G, ASTOLFI L, VECCHIATO G, et al. Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload,fatigue and drowsiness[J]. Neuroscience & Biobehavioral Reviews, 2012, 44(1):58-75.
8.	EOH H J, CHUNG M K, KIM S H. Electroencephalographic study of drowsiness in simulated driving with sleep deprivation[J]. Int J Ind Ergon, 2005, 35(4):307-320.
9.	JAP B T, LAL S, FISCHER P, et al. Using EEG spectral components to assess algorithms for detecting fatigue[J]. Expert Syst Appl, 2009, 36(2, Part 1):2352-2359.
10.	CHEN C X, LI K, WU Q Y, et al. EEG-based detection and evaluation of fatigue caused by watching 3DTV[J]. Displays, 2013, 34(2):81-88.
11.	ÅKERSTEDT T, GILLBERG M. Subjective and objective sleepiness in the active individual[J]. International Journal of Neuroscience, 1990, 52(1/2):29-37.
12.	HODDES E, ZARCONE V, SMYTHE H, et al. Quantification of sleepiness:a new approach[J]. Psychophysiology, 1973, 10(4):431-436.

1. TANAKA M, ISHⅡ A, WATANABE Y. Neural effect of mental fatigue on physical fatigue:a magnetoencephalography study[J]. Brain Res, 2014, 1542(1):49-55.
2. WILLIAMSON A, LOMBARDI D A, FOLKARD S, et al. The Link between fatigue and safety[J]. Accid Anal Prev, 2011, 43(2, SI):498-515.
3. HELTON W S, RUSSELL P N. Working memory load and the vigilance decrement[J]. Exp Brain Res, 2011, 212(3):429-437.
4. MALLIS M M, DEROSHIA C W. Circadian rhythms, sleep, and performance in space[J]. Aviat Space Environ Med, 2005, 76(6, S):B94-B107.
5. LAURENT F, VALDERRAMA M, BESSERVE M, et al. Multimodal information improves the rapid detection of mental fatigue[J]. Biomed Signal Process Control, 2013, 8(4):400-408.
6. LAWHERN V, KERICK S, ROBBINS K A. Detecting alpha spindle events in EEG time series using adaptive autoregressive models[J]. BMC Neurosci, 2013, 14(1):101.
7. BORGHINI G, ASTOLFI L, VECCHIATO G, et al. Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload,fatigue and drowsiness[J]. Neuroscience & Biobehavioral Reviews, 2012, 44(1):58-75.
8. EOH H J, CHUNG M K, KIM S H. Electroencephalographic study of drowsiness in simulated driving with sleep deprivation[J]. Int J Ind Ergon, 2005, 35(4):307-320.
9. JAP B T, LAL S, FISCHER P, et al. Using EEG spectral components to assess algorithms for detecting fatigue[J]. Expert Syst Appl, 2009, 36(2, Part 1):2352-2359.
10. CHEN C X, LI K, WU Q Y, et al. EEG-based detection and evaluation of fatigue caused by watching 3DTV[J]. Displays, 2013, 34(2):81-88.
11. ÅKERSTEDT T, GILLBERG M. Subjective and objective sleepiness in the active individual[J]. International Journal of Neuroscience, 1990, 52(1/2):29-37.
12. HODDES E, ZARCONE V, SMYTHE H, et al. Quantification of sleepiness:a new approach[J]. Psychophysiology, 1973, 10(4):431-436.

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