Neurophysiological Vigilance Indicators and Operational Analysis of a Train Vigilance Monitoring Device: A Laboratory and Field Study

Fruhstorfer, H.; Langanke, P.; Meinzer, K.; Peter, J. H.; Pfaff, U.

doi:10.1007/978-1-4684-2529-1_9

Cited by 24 publications

(8 citation statements)

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“…1974a). During both simulated and true train driving, physiological sleepiness (alpha and theta activity of the EEG) increases steadily during a night shift (Fruhstoffer et al . 1977, Torsvall and Åkerstedt 1987).…”

Section: Discussionmentioning

confidence: 99%

The effect of an irregular shift system on sleepiness at work in train drivers and railway traffic controllers

Härmä

Sallinen

Ranta

et al. 2002

Journal of Sleep Research

203

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Sleepiness and fatigue are frequent problems in railway transportation with occasional monotony and irregular shift schedules. This study aimed at (1) studying the prevalence of severe sleepiness in shifts and (2) examining which shift and sleep‐related factors were associated with the occurrence of severe sleepiness in an irregular shift system. A total of 126 randomly selected male train drivers (Tdrs) and 104 railway traffic controllers (Tcos) were investigated using questionnaires and sleep–wake diaries. A sleep diary was used to collect information on sleepiness at work and sleeping times during the 21 consecutive days of the study. The prevalence of severe sleepiness at work (i.e. Karolinska Sleepiness Scale 7 or higher) was modelled by a logistic regression analysis for repeated measurements (GEE) using different shift schedule related factors and sleep length as explanatory variables. Severe sleepiness was reported in 49% (Tdrs) and 50% (Tcos) of the night shifts and in 20% (Tdrs) and 15% (Tcos) of the morning shifts. The odds ratios showed that the risk for severe sleepiness was 6–14 times higher in the night shift and about twice as high in the morning shift compared with the day shift. Age affected the two occupational samples differently: with Tdrs increased age was associated with an additional 8% reduction of risk for severe sleepiness for each year of age, while the Tcos did not show any age dependency. Shift length increased the risk by 15% for each hour of the shift and main sleep period decreased the risk by 15% for each hour of the main sleep. The risk of severe sleepiness was not consistently related to the time‐off period before the shifts. The results indicate that adjustments for shift timing, length and off‐duty time, in addition to actions aiming at extending the main sleep period, would probably decrease severe sleepiness in railway transportation.

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Section: Discussionmentioning

confidence: 99%

The effect of an irregular shift system on sleepiness at work in train drivers and railway traffic controllers

Härmä

Sallinen

Ranta

et al. 2002

Journal of Sleep Research

203

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“…For the active, open-eyed subject in a real life situation there are no established criteria. Nevertheless, laboratory type experiments have suggested that dpha a d theta intrusions into the beta activity of active wakefulness could be interpreted as sleepiness (O'Hanlon & Kelly, 1977;Fruhstorfer, 1977;Poitrenaud, 1978). In additon, similar EEG patterns are associated with decreased performance capacity (Daniel, 1967;Horvath et al, 1976;O'Hanlon & Beaty, 1977).…”

Section: Please Scroll Down For Articlementioning

confidence: 95%

Extreme Sleepiness: Quantification of EOG and Spectral EEG Parameters

Torsvall

Åkerstedt

1988

International Journal of Neuroscience

109

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Our earlier research has shown considerable increases of and intercorrelations between subjective sleepiness, alpha, theta, and delta power density of the EEG as well as slow rolling eye movements (SEM) during night-time, monotonous work tasks. The purpose of the present methodological study was to establish EEG-EOG criteria for extreme behavioral sleepiness. Medilog tape-recorders were used to record EEG and EOG on 5 males and 5 females during a 45 min visual vigilance test. Performance on the test was also recorded on the tape as well as experimenter-scored dozing off episodes (from TV supervision). The EEG was subjected to computerized spectral analysis in 7.5 s epochs, and the EOG was scored visually for slow eye movements in the same epochs. The epochs immediately preceding a hit, miss and dozing off differed significantly. There was most power density in the alpha, theta and delta bands and most SEM activity before dozing off episodes and least before hits. The power density and the SEM activity were significantly increased one whole minute before dozing off events and missed signals compared to hits. Just prior to the ultimate sleepiness, i.e., the dozing off, the SEM activity and the delta and theta power density were further increased, while alpha power density was at its maximum during the last three epochs before the dozing off. The response patterns of all subjects were rather homogeneous. In conclusion, behavioral sleepiness is systematically reflected in spectral EEG and EOG parameters and the results support attempts to use these variables to indicate sleepiness in active subjects in real life situations.

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“…Electrode impedance was kept below 5kΩ. During the entire EEG recording (as well as during the entire gait training), an experimenter checked for possible signs of drowsiness (e.g., abrupt worsening in gait performance, closed eyes, increase of proportion of theta and alpha activity in the eyes-open condition) [ 52 ], which were counted (given that monotonous gait pattern provided by RAGT may tend to induce sleepiness, thus decreasing arousal that negatively affects gait training progress). Patients were prohibited from drinking coffee, smoking, and change their bedtime during the three days prior EEG recording.…”

Section: Virtual Realitymentioning

confidence: 99%

The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial

Calabrò

Naro

Russo

et al. 2017

J NeuroEngineering Rehabil

192

120

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BackgroundMany studies have demonstrated the usefulness of repetitive task practice by using robotic-assisted gait training (RAGT) devices, including Lokomat, for the treatment of lower limb paresis. Virtual reality (VR) has proved to be a valuable tool to improve neurorehabilitation training. The aim of our pilot randomized clinical trial was to understand the neurophysiological basis of motor function recovery induced by the association between RAGT (by using Lokomat device) and VR (an animated avatar in a 2D VR) by studying electroencephalographic (EEG) oscillations.MethodsTwenty-four patients suffering from a first unilateral ischemic stroke in the chronic phase were randomized into two groups. One group performed 40 sessions of Lokomat with VR (RAGT + VR), whereas the other group underwent Lokomat without VR (RAGT-VR). The outcomes (clinical, kinematic, and EEG) were measured before and after the robotic intervention.ResultsAs compared to the RAGT-VR group, all the patients of the RAGT + VR group improved in the Rivermead Mobility Index and Tinetti Performance Oriented Mobility Assessment. Moreover, they showed stronger event-related spectral perturbations in the high-γ and β bands and larger fronto-central cortical activations in the affected hemisphere.ConclusionsThe robotic-based rehabilitation combined with VR in patients with chronic hemiparesis induced an improvement in gait and balance. EEG data suggest that the use of VR may entrain several brain areas (probably encompassing the mirror neuron system) involved in motor planning and learning, thus leading to an enhanced motor performance.Trial registrationRetrospectively registered in Clinical Trials on 21-11-2016, n.NCT02971371.

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Neurophysiological Vigilance Indicators and Operational Analysis of a Train Vigilance Monitoring Device: A Laboratory and Field Study

Cited by 24 publications

References 0 publications

The effect of an irregular shift system on sleepiness at work in train drivers and railway traffic controllers

The effect of an irregular shift system on sleepiness at work in train drivers and railway traffic controllers

Extreme Sleepiness: Quantification of EOG and Spectral EEG Parameters

The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial

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