Electrophysiological Data and Aviator Performance: Identifying Measures for Operator State Monitoring
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Sep 01, 2022
- Source ID
- 10.1177/1071181322661394
Entities
People
- Colby Matthews
- Jared Basso
- Kathryn A. Feltman
Organizations
- United States Army Aeromedical Research Lab