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Embry-Riddle Scholarly Commons · Journal article (JAAER)
Evaluating the Potential of Using EEG to Monitor Cognitive Workload in Simulated Suborbital Flight
Attribution
This is the abstract and citation. Full text lives at Embry-Riddle Scholarly Commons — we link out rather than host. All credit to the authors and Embry-Riddle Aeronautical University.
Abstract
Verbatim from Embry-Riddle Scholarly Commons. Not paraphrased, not summarized.
Mental workload can be assessed using electrophysiological measures of brain activity, such as electroencephalography (EEG). EEG signals reveal cortical electrical activity. This cortical activity was recorded using specialized headsets. The focus of this research was to study cognitive performance (CP) in four pilots during simulated suborbital flights under nominal day and night profiles and under contingency day and night profiles. A 14-channel EMOTIV EEG headset measured the participants' brain activity while they flew simulated flights in a Suborbital Spaceflight Simulator (SSFS). Several sessions of EEG data were recorded from each subject, and feature extraction was applied. Data revealed that real-time pilot CP can be decoded from the EEG signals. If these data can be transmitted to mission control under operational conditions, they may be used to monitor pilot safety and performance.
Author
- Seedhouse, Erik, PhD Embry-Riddle Aeronautical University
Keywords
- alpha band
- beta band
- brain
- cognitive performance
- delta band
- electroencephalography
- pilot
- suborbital flight
- theta band
- Cognitive Neuroscience
- Other Physiology
- Systems Neuroscience
Citation: Seedhouse, Erik, PhD (2024). Evaluating the Potential of Using EEG to Monitor Cognitive Workload in Simulated Suborbital Flight. Embry-Riddle Aeronautical University. Embry-Riddle Scholarly Commons ID oai:commons.erau.edu:jaaer-1989. https://commons.erau.edu/jaaer/vol33/iss1/4 ↗