US 12,271,524 B2
Brain-computer aided analysis method and system for aviation accident
Qijun Zhao, Jiangsu (CN); Xu Zhou, Jiangsu (CN); Binwu Ren, Jiangsu (CN); Xiayang Zhang, Jiangsu (CN); Daoqiang Zhang, Jiangsu (CN); and Bo Wang, Jiangsu (CN)
Assigned to Nanjing University of Aeronautics and Astronautics, Nanjing (CN)
Filed by Nanjing University of Aeronautics and Astronautics, Jiangsu (CN)
Filed on Dec. 9, 2021, as Appl. No. 17/546,827.
Claims priority of application No. 202011452178.1 (CN), filed on Dec. 10, 2020.
Prior Publication US 2022/0187914 A1, Jun. 16, 2022
Int. Cl. G06F 3/01 (2006.01); A61B 5/00 (2006.01); A61B 5/18 (2006.01)
CPC G06F 3/015 (2013.01) [A61B 5/18 (2013.01); A61B 5/6887 (2013.01); A61B 5/7203 (2013.01); A61B 5/725 (2013.01); A61B 5/7267 (2013.01); A61B 2503/22 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A brain-computer aided analysis method for an aviation accident, comprising:
obtaining historical electroencephalogram (EEG) signals and historical psychological and physiological features of various pilots during flight to be recorded as first EEG signals and first features;
training a feature recognition model by using the first EEG signals as an input and the first features as an output;
inputting EEG signals of a pilot of an aviation accident aircraft into the feature recognition model, and outputting psychological and physiological features of the pilot of the aviation accident aircraft to be recorded as second features;
determining whether the second features are abnormal or not according to the historical psychological and physiological features of the pilot of the aviation accident aircraft and the first features; and
if the second features is determined to be abnormal, analyzing causes of the aviation accident for the pilot of the aviation accident aircraft; or
if the second features is determined to be not abnormal, performing accident simulation reproduction according to the second features to obtain reproduced accident information; and
analyzing the causes of the aviation accident according to the reproduced accident information.