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公开(公告)号:US11696714B2
公开(公告)日:2023-07-11
申请号:US16858093
申请日:2020-04-24
申请人: INTERAXON INC.
发明人: Christopher Allen Aimone , Graeme Moffat , Hubert Jacob Banville , Sean Wood , Subash Padmanaban , Sam Kerr , Aravind Ravi
CPC分类号: A61B5/246 , A61B5/375 , A61B5/377 , A61B5/7267 , A61B5/7275 , G16H50/50
摘要: Brain modelling includes receiving time-coded bio-signal data associated with a user; receiving time-coded stimulus event data; projecting the time-coded bio-signal data into a lower dimensioned feature space; extracting features from the lower dimensioned feature space that correspond to time codes of the time-coded stimulus event data to identify a brain response; generating a training data set for the brain response using the features; training a brain model using the training set, the brain model unique to the user; generating a brain state prediction for the user output from the trained brain model, and automatically computing similarity metrics of the brain model as compared to other user data; and inputting the brain state prediction to a feedback model to determine a feedback stimulus for the user, wherein the feedback model is associated with a target brain state.