EPO Patent EP4710256A2: Physiological Signal Contextualization Machine Learning
Summary
The European Patent Office has published patent application EP4710256A2, titled 'Physiological Signal Contextualization Machine Learning', filed by Covidien LP. This patent relates to methods for contextualizing physiological signals using machine learning techniques, potentially impacting medical device development.
What changed
This document is a publication of a European patent application (EP4710256A2) by Covidien LP, concerning a machine learning system for contextualizing physiological signals. The patent application details methods and systems that utilize machine learning algorithms to interpret and contextualize various physiological signals, likely for diagnostic or monitoring purposes in medical applications.
As this is a patent publication, it does not impose direct regulatory obligations or compliance deadlines on regulated entities. However, it signals potential technological advancements and intellectual property in the field of medical devices and AI-driven healthcare solutions. Companies involved in developing or utilizing such technologies should be aware of this patent filing for competitive intelligence and potential licensing considerations.
Source document (simplified)
CONTEXTUALIZATION OF SUBJECT PHYSIOLOGICAL SIGNAL USING MACHINE LEARNING
Publication EP4710256A2 Kind: A2 Mar 18, 2026
Applicants
Covidien LP
Inventors
GUNTURI, Mridula, ADDISON, Paul, S., MONTGOMERY, Dean
IPC Classifications
G06N 3/08 20230101AFI20251209BHEP G06T 7/20 20170101ALI20251209BHEP A61B 5/11 20060101ALI20251209BHEP G06T 5/00 20240101ALI20251209BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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