QUASAR´s QStates cognitive gauge performance in the cognitive state assessment competition 2011

Author

McDonald, Neil J. ; Soussou, Walid

Author_Institution

QUASAR, San Diego, CA, USA

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

6542

Lastpage

6546

Abstract

The Cognitive State Assessment Competition 2011 was organized by the U.S. Air Force Research Laboratory (AFRL) to compare the performance of real-time cognitive state classification software. This paper presents results for QUASAR´s data classification module, QStates, which is a software package for real-time (and off-line) analysis of physiologic data collected during cognitive-specific tasks. The classifier´s methodology can be generalized to any particular cognitive state; QStates identifies the most salient features extracted from EEG signals recorded during different cognitive states or loads.

Keywords

cognition; electroencephalography; feature extraction; medical signal processing; signal classification; EEG signals; QUASAR data classification module; U.S. Air Force Research Laboratory; cognitive state assessment competition 2011; cognitive-specific tasks; feature extraction; physiologic data; real-time cognitive state classification software; software package; Accuracy; Brain modeling; Data models; Electroencephalography; Feature extraction; Training; Training data; Algorithms; Cognition; Electrocardiography; Electroencephalography; Equipment Design; Humans; Least-Squares Analysis; Military Personnel; Reproducibility of Results; Signal Processing, Computer-Assisted; Software; United States;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091614

Filename

6091614