Driving tasks are vulnerable to the effects of sleep deprivation and mental fatigue, diminishing driver’s ability to respond effectively to unusual or emergent situations. Physiological and brain activity analysis could help to understand how to provide useful feedback and alert signals to the drivers for avoiding car accidents. In this study we analyze the insurgence of mental fatigue or drowsiness during car driving in a simulated environment by using high resolution EEG techniques as well as neurophysiologic variables such as heart rate (HR) and eye blinks rate (EBR). Results suggest that it is possible to introduce a EEG-based cerebral workload index that it is sensitive to the mental efforts of the driver during drive tasks of different levels of difficulty. Workload index was based on the estimation of increase of EEG power spectra in the theta band over prefrontal areas and the simultaneous decrease of EEG power spectra over parietal areas in alpha band during difficult drive conditions. Such index could be used in a future to assess on-line the mental state of the driver during the drive task.

Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices / Borghini, Gianluca; Vecchiato, Giovanni; Toppi, Jlenia; Astolfi, Laura; Maglione, ANTON GIULIO; Isabella, R.; Caltagirone, C.; Kong, W.; Wei, D.; Zhou, Z.; Polidori, L.; Vitiello, S.; Babiloni, Fabio. - ELETTRONICO. - (2012), pp. 6442-6445. ((Intervento presentato al convegno 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society tenutosi a San Diego, CA; USA nel 28 August - 01 September 2012 [10.1109/EMBC.2012.6347469].

Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices

BORGHINI, GIANLUCA;VECCHIATO, GIOVANNI;TOPPI, JLENIA;ASTOLFI, LAURA;MAGLIONE, ANTON GIULIO;BABILONI, Fabio
2012

Abstract

Driving tasks are vulnerable to the effects of sleep deprivation and mental fatigue, diminishing driver’s ability to respond effectively to unusual or emergent situations. Physiological and brain activity analysis could help to understand how to provide useful feedback and alert signals to the drivers for avoiding car accidents. In this study we analyze the insurgence of mental fatigue or drowsiness during car driving in a simulated environment by using high resolution EEG techniques as well as neurophysiologic variables such as heart rate (HR) and eye blinks rate (EBR). Results suggest that it is possible to introduce a EEG-based cerebral workload index that it is sensitive to the mental efforts of the driver during drive tasks of different levels of difficulty. Workload index was based on the estimation of increase of EEG power spectra in the theta band over prefrontal areas and the simultaneous decrease of EEG power spectra over parietal areas in alpha band during difficult drive conditions. Such index could be used in a future to assess on-line the mental state of the driver during the drive task.
978-142444119-8
File allegati a questo prodotto
File Dimensione Formato  
VE_2012_11573-448973.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 914.91 kB
Formato Adobe PDF
914.91 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/448973
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? 29
  • Scopus 121
  • ???jsp.display-item.citation.isi??? 97
social impact