Title :
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
fDate :
Aug. 30 2011-Sept. 3 2011
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;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091614
