{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11476000","patent":{"patent_number":"US-11476000","title":"Methods and systems using mathematical analysis and machine learning to diagnose disease","assignee":null,"inventors":[],"filing_date":"2020-06-01T00:00:00.000Z","publication_date":"2022-10-18T00:00:00.000Z","cpc_codes":["G16H","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B"],"num_claims":20,"abstract":"Exemplified method and system facilitates monitoring and/or evaluation of disease or physiological state using mathematical analysis and machine learning analysis of a biopotential signal collected from a single electrode. The exemplified method and system creates, from data of a singularly measured biopotential signal, via a mathematical operation (i.e., via numeric fractional derivative calculation of the signal in the frequency domain), one or more mathematically-derived biopotential signals (e.g., virtual biopotential signals) that is used in combination with the measured biopotential signals to generate a multi-dimensional phase-space representation of the body (e.g., the heart). By mathematically modulating (e.g., by expanding or contracting) portions of a given biopotential signal, in the frequency domain, the numeric-based operation gives emphasis or de-emphasis to certain measured frequencies of the biopotential signals, which, when coupled with machine learning, facilitates improved diagnostics of certain pathologies."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Methods and systems using mathematical analysis and machine learning to diagnose disease","description":"Exemplified method and system facilitates monitoring and/or evaluation of disease or physiological state using mathematical analysis and machine learning analysis of a biopotential signal collected fr","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11476000","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-11476000","citation_suggestion":"Patentable. \"Methods and systems using mathematical analysis and machine learning to diagnose disease\" (US-11476000). https://patentable.app/patents/US-11476000","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11476000","json":"https://patentable.app/api/llm-context/US-11476000","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T21:00:34.699Z"}