Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidents

Papadelis, Christos; Chen, Zhe; Kourtidou‐Papadeli, Chrysoula; Bamidis, Panagiotis D.; Chouvarda, Ioanna; Bekiaris, Evangelos; Maglaveras, Nicos

doi:10.1016/j.clinph.2007.04.031

Cited by 224 publications

(148 citation statements)

References 45 publications

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“…attentional load. This assumption is additionally supported by findings reported in various fatigue studies (Kecklund and Åkerstedt, 1993;Lal and Craig, 2002;Papadelis et al, 2007) that did not use any additional cognitive task and which found effects similar with regard to alpha band activity to those reported in this article.…”

Section: Discussionsupporting

confidence: 90%

Assessing Drivers’ Fatigue State Under Real Traffic Conditions Using EEG Alpha Spindles

Schrauf

Simon

Schmidt

et al. 2011

Proceedings of the 6th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary:The effectiveness of EEG alpha spindles, defined by short narrowband bursts in the alpha band, as an objective measure for assessing driver fatigue under real driving conditions was examined using an algorithm for the identification of alpha spindles. The method is applied to data recorded under real traffic conditions and compared with the performance of the traditional EEG fatigue measure alpha band power. Statistical analysis revealed significant increases from the first to the last driving section of alpha band power; with larger effect sizes for the alpha spindle based measures. An increased level of fatigue for drop-outs, as compared to participants who did not abort the drive, was observed only by means of alpha spindle parameters. EEG alpha spindle parameters increase both fatigue detection sensitivity and specificity as compared to EEG alpha band power. It is demonstrated that alpha spindles are superior to EEG band power measures for assessing driver fatigue under real traffic conditions.

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Section: Discussionsupporting

confidence: 90%

Assessing Drivers’ Fatigue State Under Real Traffic Conditions Using EEG Alpha Spindles

Schrauf

Simon

Schmidt

et al. 2011

Proceedings of the 6th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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“…Subjective feeling of fatigue which combined with negative effects on performance due to time spent on cognitively demanding tasks (Meletis and Barker, 2004) can somehow affect the driving performance due to sleepiness, monotonous driving environment condition and the length of driving period as previous studies proved (Otmani et al, 2005;Papadelis et al, 2007;Zaharah and Law, 2004). A study pointed out that 37.7 percent of commercial bus drivers in Malaysia had encountered fatigue during driving where the long driving duration and awkward working hours had synergistic effect in inducing the onset of fatigue .…”

Section: Introductionmentioning

confidence: 97%

Driving Fatigue and Performance among Occupational Drivers in Simulated Prolonged Driving

Seen¹,

Tamrin

Goh

2010

GJHS

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Introduction: Motor vehicle accident is a major problem in Malaysia. The statistics shows an increasing number of accidents (year 1997 to 2007). Fatigue and drowsiness among the drivers has been identified as one of the main reasons behind fatal crashes and injuries especially driving in long and monotonous motorway. This study aims to determine the driver's driving performance and physiological change of EEG in association with external factors such as driving condition and environmental background factors in a prolonged simulation study. Result: The study showed that time-on-task effect had significantly deteriorated drivers' alertness and impaired driving performance in an extended driving period, when certain driving condition and environmental factors considered. Conclusion: This study shows that prolong driving had significantly induced drivers' fatigue level exclusively with monotonous environment. Extended driving period deteriorated drivers' performance, revealing that time-on-task effect could possibly put drivers on a higher risk to be involved in traffic accident.

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“…Researchers have demonstrated that LZC and ApEn can distinguish between awake and anaesthetized state of human subjects (Anderson, Barr, 2004, Bruhn, Bouillon, 2003, Ferenets et al , 2006, Ferenets et al , 2007, Hans, Dewandre, 2005, Kumar et al , 2007, Noh et al , 2006, Vakkuri, Yli-Hankala, 2004, Voss et al , 2006, Zhang, Roy, 2001). In sleep research ApEn was statistically significantly lower during Stage IV and higher during wake and REM sleep (Burioka et al , 2005, Papadelis et al , 2007.…”

Section: Clinical Application Of Nda Correlated With Unconsciousnessmentioning

confidence: 84%

Electroencephalography (EEG) and Unconsciousness

Wu¹,

Yuan²

2012

Advances in Clinical Neurophysiology

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Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidents

Cited by 224 publications

References 45 publications

Assessing Drivers’ Fatigue State Under Real Traffic Conditions Using EEG Alpha Spindles

Assessing Drivers’ Fatigue State Under Real Traffic Conditions Using EEG Alpha Spindles

Driving Fatigue and Performance among Occupational Drivers in Simulated Prolonged Driving

Electroencephalography (EEG) and Unconsciousness

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