Dynamische und Modulare Herzereignisdetektion

Details

Veröffentlichungs-Nr.

EP4730356

Anmeldetag

24. Mai 2022

Veröffentlichung

22. April 2026

Rechtsraum

EP

IPC

A61B5/346, A61B5/00, G16H50/20G16H50/20

Abstract

This disclosure is directed to systems and techniques for detecting change in patient health based on a modular machine learning architecture ensembling different cardiac events. In one example, a medical system is configured to: detect a cardiac event type for the patient based on a classification of the patient physiological data in accordance with a modular machine learning architecture, wherein the modular machine learning architecture comprises, for each of a plurality of cardiac event types, an ensemble that comprises a current component model for classifying the cardiac EGM data as evidence of that respective one of the plurality of cardiac event types; and generate for display output data indicative of a positive detection of the cardiac event type.

Anmelder

Firma

Medtronic, Inc.

Land

🇺🇸 USA