Kiroy V N, Aslanyan E V, Bakhtin O M, Minyaeva N R, Lazurenko D M
Zh Vyssh Nerv Deiat Im I P Pavlova. 2015 Jan-Feb;65(1):5-13.
The spectral characteristics of the EEG recorded on two professional pilots in the simulator TU-154 aircraft in flight dynamics, including takeoff, landing and horizontal flight (in particular during difficult conditions) were analyzed. EEG recording was made with frequency band 0.1-70 Hz continuously from 15 electrodes. The EEG recordings were evaluated using analysis of variance and discriminant analysis. Statistical significant of the identified differences and the influence of the main factors and their interactions were evaluated using Greenhouse - Gaiser corrections. It was shown that the spectral characteristics of the EEG are highly informative features of the state of the pilots, reflecting the different flight phases. High validity ofthe differences including individual characteristic, indicates their non-random nature and the possibility of constructing a system of pilots' state control during all phases of flight, based on EEG features.
分析了两名专业飞行员在图-154飞机模拟器中进行飞行动力学操作（包括起飞、着陆和水平飞行，特别是在困难条件下）时记录的脑电图（EEG）的频谱特征。从15个电极连续记录0.1 - 70Hz频段的脑电图。使用方差分析和判别分析对脑电图记录进行评估。使用格林豪斯-盖泽尔校正评估所识别差异的统计学显著性以及主要因素及其相互作用的影响。结果表明，脑电图的频谱特征是飞行员状态的高度信息性特征，反映了不同的飞行阶段。包括个体特征在内的差异具有较高的有效性，表明它们具有非随机性，并且有可能基于脑电图特征构建飞行各阶段飞行员状态控制系统。
