EEG-based index for engagement level monitoring during sustained attention

被引：0

作者：

Coelli, Stefania ^{[1
]}

Sclocco, Roberta ^{[1
]}

Barbieri, Riccardo ^{[2
]}

Reni, Gianluigi ^{[3
]}

Zucca, Claudio ^{[4
]}

Bianchi, Anna Maria ^{[1
]}

机构：

[1] Politecn Milan, Dept Elect Informat & Bioengn, I-20133 Milan, Italy

[2] Harvard Univ, Sch Med, Massachusetts Gen Hosp, Dept Anesthesia Crit Care & Pain Med, Cambridge, MA 02138 USA

[3] IRCCS E Medea, Bioengn Lab, Bosisio Parini, Lecco, Italy

[4] IRCCS E Medea, Clin Neurophysiol Unit, Bosisio Parini, Lecco, Italy

来源：

2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2015年

关键词：

ADAPTIVE AUTOMATION SYSTEM;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper investigates the relation between mental engagement level and sustained attention in 9 healthy adults performing a Conners' "not-X" continuous performance test (CPT), while their electroencephalographic (EEG) activity was simultaneously acquired. Spectral powers were estimated and extracted in the classical EEG frequency bands. The engagement index (beta/alpha) was calculated employing four different cortical montages suggested by the literature. Results show the efficacy of the estimated measures in detecting changes in mental state and its correlation with subject reaction times throughout the test. Moreover, the influence of the recording sites was proved underling the role of frontal cortex in maintaining a constant sustained attention level.

引用

页码：1512 / 1515

页数：4

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