公开(公告)号：US20220015659A1

公开(公告)日：2022-01-20

申请号：US16930122

申请日：2020-07-15

Applicant: X Development LLC

Inventor： Mustafa Ispir ,  Asim Iqbal ,  Pramod Gupta ,  Garrett Raymond Honke ,  Vladimir Miskovic

IPC: A61B5/0484 ,  G06N3/04 ,  G06N3/08 ,  G06K9/00 ,  A61B5/04 ,  G16H50/30 ,  G16H50/20

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating embeddings of EEG measurements. One of the methods includes obtaining a two-dimensional time-frequency electroencephalogram (EEG) representation corresponding to one or more EEG signal measurements of a user; processing the time-frequency EEG representation using a first neural network having a plurality of first network parameters to generate an embedding of the time-frequency EEG representation, wherein the first neural network has been trained using transfer learning; and providing the embedding of the time-frequency EEG representation to a downstream neural network to generate a mental health prediction for the user.

公开(公告)号：US20220101997A1

公开(公告)日：2022-03-31

申请号：US17039303

申请日：2020-09-30

Applicant: X Development LLC

Inventor： Asim Iqbal ,  Mustafa Ispir ,  Garrett Raymond Honke ,  Nina Thigpen ,  Vladimir Miskovic ,  Pramod Gupta

IPC: G16H50/20 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing representations of EEG measurements. One of the methods includes obtaining a plurality of EEG signal measurements corresponding to respective EEG trials of a user; generating a time-domain representation from the plurality of EEG signal measurements, where the time-domain representation includes a plurality of rows, and where each row corresponds to a different set of one or more EEG signal measurements; applying the time-domain representation as input to a neural network having a plurality of network parameters, final values of the network parameters having been determined by a transfer learning process where the neural network is initially trained to perform an image processing task and the neural network is subsequently trained to perform EEG analysis; and obtaining, from the neural network, a mental health prediction for the user.