Predicting brain data using machine learning models

US11151456B1 · kind B1 · utility

Assignee

• Omniscient Neurotechnology Pty Limited · AU

Inventors

• Michael Edward Sughrue · Sydney, AU
• Stephane Philippe Doyen · Sydney, AU
• Peter James Nicholas · Sydney, AU

Key dates

• Filing date: Jan 8, 2021
• Grant date: Oct 19, 2021
• Expiry date: Jan 8, 2041

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B2576/026
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicted brain data of a patient. One of the methods includes receiving montage configuration data for a specified montage; receiving raw EEG data captured using the specified montage from a brain of a particular subject; generating, using the montage configuration data and the raw EEG data, EEG connectivity data for the specified montage; using a generative neural network to map the EEG connectivity data to predicted fMRI connectivity data, the generative neural network having been trained using training EEG-fMRI connectivity data pairs, each pair comprising EEG connectivity data of a subject and fMRI connectivity data of the same subject; and taking an action based on the predicted fMRI connectivity data.