title: Towards a multimodal bioelectrical framework for the online mental workload evaluation.
abstract: In this study, a framework able to classify online different levels of mental workload induced during a simulated flight by using the combination of the Electroencephalogram (EEG) and the Heart Rate (HR) biosignals has been proposed. Ten healthy subjects were involved in the experimental protocol, performing the NASA - Multi Attribute Task Battery (MATB) over three different difficulty levels in order to simulate three classic showcases in a flight scene (cruise flight phase, flight level maintaining, and emergencies). The analyses showed that the proposed system is able to estimate online the mental workload of the subjects over the three different conditions reaching a high discriminability (p<.05). In addition, it has been found that the classification parameters remained stable within a week, without recalibrating the system with new parameters.
authors.forename: Pietro
authors.initials: P
authors.lastname: Aricò
authors.forename: Gianluca
authors.initials: G
authors.lastname: Borghini
authors.forename: Ilenia
authors.initials: I
authors.lastname: Graziani
authors.forename: Fumihico
authors.initials: F
authors.lastname: Taya
authors.forename: Yu
authors.initials: Y
authors.lastname: Sun
authors.forename: Anastasios
authors.initials: A
authors.lastname: Bezerianos
authors.forename: Nitish V
authors.initials: NV
authors.lastname: Thakor
authors.forename: Febo
authors.initials: F
authors.lastname: Cincotti
authors.forename: Fabio
authors.initials: F
authors.lastname: Babiloni
mesh_terms: D000328:Adult; D002138:Calibration; D004569:Electroencephalography; D004630:Emergencies; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D020407:Internet; D008297:Male; D033281:Nontherapeutic Human Experimentation; D011603:Psychophysiology / Q000379:methods; D016526:Workload