{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11961004","patent":{"patent_number":"US-11961004","title":"Predicting brain data using machine learning models","assignee":null,"inventors":[],"filing_date":"2021-09-22T00:00:00.000Z","publication_date":"2024-04-16T00:00:00.000Z","cpc_codes":["G06N","A61B","A61B","A61B","A61B","A61B","A61B","A61B","G06N","G06N","G06N","G16H","G16H","G16H","G16H","G16H","G16H","G16H","G16H","A61B"],"num_claims":18,"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."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Predicting brain data using machine learning models","description":"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 ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11961004","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11961004","citation_suggestion":"Patentable. \"Predicting brain data using machine learning models\" (US-11961004). https://patentable.app/patents/US-11961004","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11961004","json":"https://patentable.app/api/llm-context/US-11961004","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T09:44:45.409Z"}