{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11944444","patent":{"patent_number":"US-11944444","title":"Predicting ventricular fibrillation","assignee":null,"inventors":[],"filing_date":"2019-09-05T00:00:00.000Z","publication_date":"2024-04-02T00:00:00.000Z","cpc_codes":["A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","A61B","G06N","G16H","G16H","G16H","G16H"],"num_claims":19,"abstract":"A method comprising: at a training stage, training a machine learning algorithm on a training set comprising: (i) Heart Rate Variability (HRV) parameters extracted from temporal beat activity samples, wherein at least some of said samples include a representation of a Ventricular Fibrillation (VF) event, (ii) labels associated with one of: a first period of time immediately preceding a VF event in a temporal beat activity sample, a second period of time immediately preceding the first period of time in a temporal beat activity sample, and all other periods of time in a temporal beat activity sample; at an inference stage, receiving, as input, a target HRV parameters representing temporal beat activity in a subject; and applying said machine learning algorithm to said target HRV parameters, to predict an onset time of a VF event in said subject."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Predicting ventricular fibrillation","description":"A method comprising: at a training stage, training a machine learning algorithm on a training set comprising: (i) Heart Rate Variability (HRV) parameters extracted from temporal beat activity samples,","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11944444","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-11944444","citation_suggestion":"Patentable. \"Predicting ventricular fibrillation\" (US-11944444). https://patentable.app/patents/US-11944444","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11944444","json":"https://patentable.app/api/llm-context/US-11944444","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T03:34:12.456Z"}