{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11529103","patent":{"patent_number":"US-11529103","title":"Artificial intelligence self-learning-based automatic electrocardiography analysis method and apparatus","assignee":null,"inventors":[],"filing_date":"2018-01-12T00:00:00.000Z","publication_date":"2022-12-20T00:00:00.000Z","cpc_codes":["A61B","A61B","A61B","A61B","A61B","A61B","A61B","G06N"],"num_claims":19,"abstract":"An artificial intelligence self-learning-based automatic electrocardiography analysis method and apparatus, the method comprising data preprocessing, heartbeat feature detection, interference signal detection and heartbeat classification based on deep learning, signal quality evaluation and lead combination, heartbeat verification, analysis and calculation of electrocardiography events and parameters, and finally automatic output of reporting data, realizing an automated analysis method having a complete and rapid flow. The automatic electrocardiography analysis method may also record modification information of an automatic analysis result, collect modified data, and feed same back to the depth learning model to continue training, thereby continuously making improvements and improving the accuracy of the automatic analysis method."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Artificial intelligence self-learning-based automatic electrocardiography analysis method and apparatus","description":"An artificial intelligence self-learning-based automatic electrocardiography analysis method and apparatus, the method comprising data preprocessing, heartbeat feature detection, interference signal d","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11529103","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-11529103","citation_suggestion":"Patentable. \"Artificial intelligence self-learning-based automatic electrocardiography analysis method and apparatus\" (US-11529103). https://patentable.app/patents/US-11529103","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11529103","json":"https://patentable.app/api/llm-context/US-11529103","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T17:05:56.510Z"}