Towards a multimodal bioelectrical framework for the online mental workload evaluation

Pietro Arico; Gianluca Borghini; Ilenia Graziani; Fumihico Taya; Yu Sun; Anastasios Bezerianos; Nitish V. Thakor; Febo Cincotti; Fabio Babiloni

doi:10.1109/EMBC.2014.6944254

Towards a multimodal bioelectrical framework for the online mental workload evaluation

Pietro Arico, Gianluca Borghini, Ilenia Graziani, Fumihico Taya, Yu Sun, Anastasios Bezerianos, Nitish V. Thakor, Febo Cincotti, Fabio Babiloni

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

30 Scopus citations

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.

Original language	English (US)
Title of host publication	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3001-3004
Number of pages	4
ISBN (Electronic)	9781424479290
DOIs	https://doi.org/10.1109/EMBC.2014.6944254
State	Published - Nov 2 2014
Event	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States Duration: Aug 26 2014 → Aug 30 2014

Publication series

Name	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Other

Other	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Country/Territory	United States
City	Chicago
Period	8/26/14 → 8/30/14

ASJC Scopus subject areas

Health Informatics
Computer Science Applications
Biomedical Engineering

Access to Document

10.1109/EMBC.2014.6944254

Cite this

Arico, P., Borghini, G., Graziani, I., Taya, F., Sun, Y., Bezerianos, A., Thakor, N. V., Cincotti, F., & Babiloni, F. (2014). Towards a multimodal bioelectrical framework for the online mental workload evaluation. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 3001-3004). Article 6944254 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6944254

Towards a multimodal bioelectrical framework for the online mental workload evaluation. / Arico, Pietro; Borghini, Gianluca; Graziani, Ilenia et al.
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3001-3004 6944254 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Arico, P, Borghini, G, Graziani, I, Taya, F, Sun, Y, Bezerianos, A, Thakor, NV, Cincotti, F & Babiloni, F 2014, Towards a multimodal bioelectrical framework for the online mental workload evaluation. in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014., 6944254, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 3001-3004, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 8/26/14. https://doi.org/10.1109/EMBC.2014.6944254

Arico P, Borghini G, Graziani I, Taya F, Sun Y, Bezerianos A et al. Towards a multimodal bioelectrical framework for the online mental workload evaluation. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3001-3004. 6944254. (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). doi: 10.1109/EMBC.2014.6944254

Arico, Pietro ; Borghini, Gianluca ; Graziani, Ilenia et al. / Towards a multimodal bioelectrical framework for the online mental workload evaluation. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3001-3004 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

@inproceedings{d35c3c37a94b4acabbe948b12bccd87f,

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.",

author = "Pietro Arico and Gianluca Borghini and Ilenia Graziani and Fumihico Taya and Yu Sun and Anastasios Bezerianos and Thakor, {Nitish V.} and Febo Cincotti and Fabio Babiloni",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 ; Conference date: 26-08-2014 Through 30-08-2014",

year = "2014",

month = nov,

day = "2",

doi = "10.1109/EMBC.2014.6944254",

language = "English (US)",

series = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3001--3004",

booktitle = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",

}

TY - GEN

T1 - Towards a multimodal bioelectrical framework for the online mental workload evaluation

AU - Arico, Pietro

AU - Borghini, Gianluca

AU - Graziani, Ilenia

AU - Taya, Fumihico

AU - Sun, Yu

AU - Bezerianos, Anastasios

AU - Thakor, Nitish V.

AU - Cincotti, Febo

AU - Babiloni, Fabio

PY - 2014/11/2

Y1 - 2014/11/2

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84928114474&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928114474&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2014.6944254

DO - 10.1109/EMBC.2014.6944254

M3 - Conference contribution

C2 - 25570622

AN - SCOPUS:84928114474

T3 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

SP - 3001

EP - 3004

BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Y2 - 26 August 2014 through 30 August 2014

ER -

Towards a multimodal bioelectrical framework for the online mental workload evaluation

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this