EEG Feature Analysis Related to Situation Awareness Assessment and Discrimination
نویسندگان
چکیده
In order to discriminate situation awareness (SA) levels on the basis of SA-sensitive electroencephalography (EEG) features, high-SA (HSA) group and low-SA (LSA) groups, which are representative two SA levels, were classified according global assessment technology (SAGAT) scores measured in multi-attribute task battery (MATB) II tasks. Furthermore, three types EEG namely, absolute power, relative slow-wave/fast-wave (SW/FW), explored using spectral analysis. addition, repeated analysis variance (ANOVA) was conducted brain regions (frontal, central, parietal) × lateralities (left, middle, right) groups (LSA HSA) explore features. The statistical results indicate a significant difference between SAGAT scores; moreover, no found for power four waves (delta (δ), theta (θ), alpha (α), beta (β)). LSA had significantly lower β than HSA central partial regions. Lastly, compared with group, higher θ/β (θ + α)/(α β) all analyzed regions, α/β parietal region, α)/β except left right laterality frontal region. above features fed into principal component (PCA) Bayes method different accuracies 83.3% original validation 70.8% cross-validation. provide real-time discrimination by investigating thus contributing monitoring decrement that might lead threats flight safety.
منابع مشابه
The Assessment of Situation Awareness and Workload
This paper presents a concept which warrants a highest possible degree of situation awareness and efficient man−machine interaction on the flight deck, not being confined to the cockpit domain, though. This concept offers the solution to counteract the possible negative consequences of certain flight situations, which are, usually not known in advance, susceptible to pilot errors. It is founded...
متن کاملEfficient feature selection and linear discrimination of EEG signals
Brain Computer Interface systems (BCIs) based on Electroencephalogram (EEG) signal processing allow to translate the subject’s brain activities into control commands for computer devices. This paper presents an efficient embedded approach for feature selection and linear discrimination of EEG signals. In the first stage, four well-known feature extraction methods are used: Power spectral featur...
متن کاملUsing the situation present assessment method to measure situation awareness in simulated submarine track management
Extant query-based measures of situation awareness that require interruption of dynamic tasks can be inappropriate in certain work contexts. A candidate real-time query-based method, the situation present assessment method (SPAM), was used to examine participants’ situation awareness in simulated submarine track management. The simulation and situation awareness queries were based upon a goal-d...
متن کاملEnriching Mental Health Mobile Assessment and Intervention with Situation Awareness †
Current mobile devices allow the execution of sophisticated applications with the capacity for identifying the user situation, which can be helpful in treatments of mental disorders. In this paper, we present SituMan, a solution that provides situation awareness to MoodBuster, an ecological momentary assessment and intervention mobile application used to request self-assessments from patients i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Aerospace
سال: 2022
ISSN: ['2226-4310']
DOI: https://doi.org/10.3390/aerospace9100546