TY  - JOUR
PY  - 2022//
TI  - Electrophysiological data and aviator performance: identifying measures for operator state monitoring
JO  - Proceedings of the Human Factors and Ergonomic Society annual meeting
A1  - Feltman, Kathryn A.
A1  - Basso, Jared
A1  - Matthews, Colby
SP  - 1042
EP  - 1045
VL  - 66
IS  - 1
N2  - In an effort to identify physiological measures to be used for identifying aviator operator state, a study was completed evaluating electroencephalograph (EEG) data recorded during simulated flight. Eight Army aviators participated in the study. EEG data were recorded during a baseline and high workload flights. Correlational analyses examining the relationship between EEG data and flight performance data found a relationship between frontal alpha activity and altitude deviations. The findings suggest that EEG is a candidate measure for detecting operator state in rotary-wing aviators.<p />  <p>Language: en</p>
LA  - en
SN  - 2169-5067
UR  - http://dx.doi.org/10.1177/1071181322661394
ID  - ref1
ER  -