Literature DB >> 11214900

Vigilance on the civil flight deck: incidence of sleepiness and sleep during long-haul flights and associated changes in physiological parameters.

N Wright1, A McGown.   

Abstract

The study investigated sleepiness and sleep in aircrew during long-haul flights. The objectives were to identify loss of alertness and to recommend a practical approach to the design of an alerting system to be used by aircrew to prevent involuntary sleep. The flights were between London and Miami, covering both day- and night-time sectors, each with a duration of approximately 9 h. The subjects were 12 British Airways pilots. Various physiological variables were measured that could potentially be used to indicate the presence of drowsiness and involuntary sleep: brain electrical activity (electroencephalogram, EEG), eye movements via the electro-oculogram (EOG), wrist activity, head movements and galvanic skin resistance. The EEG and EOG identified sleepiness and sleep, as well as being potential measures on which to base an alarm system. Ten pilots either slept or showed evidence of sleepiness as assessed by the EEG and EOG. Many of the episodes of sleepiness lasted < 20 s, which could mean that the subjects were unaware of their occurrence and of the potential consequences on performance and vigilance. All physiological parameters showed changes during sleep, although only the EEG and EOG were modified by sleepiness. During sleep, skin resistance was increased, and wrist activity and head movements were absent for long periods. The study indicated that the measurement of eye movements (either alone or in combination with the EEG), wrist activity or head movement may be used as the basis of an alarm system to prevent involuntary sleep. Skin resistance is considered to be unsuitable, however, being related in a more general way to fatigue rather than to sleep episodes. The optimal way to monitor the onset of sleep would be to measure eye movements; however, this is not feasible in the flight deck environment at the present time due to the intrusive nature of the recording methodology. Wrist activity is therefore recommended as the basis of an alertness alarm. Such a device would alert the pilot after approximately 4-5 min of wrist inactivity, since this duration has been shown by the present study to be associated with sleep. The possibility that sleep inertia (reduced alertness immediately after awakening from sleep) could follow periods of sleep lasting 5 min needs to be considered. The findings reported here might be applicable to other occupational environments where fatigue and sleepiness are known to occur.

Entities:  

Mesh:

Year:  2001        PMID: 11214900     DOI: 10.1080/00140130150203893

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  7 in total

1.  Benefits of Sleep Extension on Sustained Attention and Sleep Pressure Before and During Total Sleep Deprivation and Recovery.

Authors:  Pierrick J Arnal; Fabien Sauvet; Damien Leger; Pascal van Beers; Virginie Bayon; Clément Bougard; Arnaud Rabat; Guillaume Y Millet; Mounir Chennaoui
Journal:  Sleep       Date:  2015-12-01       Impact factor: 5.849

2.  Losing the struggle to stay awake: divergent thalamic and cortical activity during microsleeps.

Authors:  Govinda R Poudel; Carrie R H Innes; Philip J Bones; Richard Watts; Richard D Jones
Journal:  Hum Brain Mapp       Date:  2012-09-24       Impact factor: 5.038

3.  Detecting Pilot's Engagement Using fNIRS Connectivity Features in an Automated vs. Manual Landing Scenario.

Authors:  Kevin J Verdière; Raphaëlle N Roy; Frédéric Dehais
Journal:  Front Hum Neurosci       Date:  2018-01-25       Impact factor: 3.169

Review 4.  Disturbance of the Circadian System in Shift Work and Its Health Impact.

Authors:  Diane B Boivin; Philippe Boudreau; Anastasi Kosmadopoulos
Journal:  J Biol Rhythms       Date:  2021-12-30       Impact factor: 3.182

5.  Flight crew fatigue risk assessment for international flights under the COVID-19 outbreak response exemption policy.

Authors:  Junya Sun; Ruishan Sun; Jingqiang Li; Ping Wang; Nan Zhang
Journal:  BMC Public Health       Date:  2022-10-01       Impact factor: 4.135

6.  Algorithm for automatic analysis of electro-oculographic data.

Authors:  Kati Pettersson; Sharman Jagadeesan; Kristian Lukander; Andreas Henelius; Edward Haeggström; Kiti Müller
Journal:  Biomed Eng Online       Date:  2013-10-25       Impact factor: 2.819

7.  Working hours associated with unintentional sleep at work among airline pilots.

Authors:  Elaine Cristina Marqueze; Ana Carolina B Nicola; Dag Hammarskjoeld M D Diniz; Frida Marina Fischer
Journal:  Rev Saude Publica       Date:  2017-06-26       Impact factor: 2.106

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.