Automatisierte Markierung von Parameterwellenformen

Details

Veröffentlichungs-Nr.

EP4760745

Anmeldetag

17. November 2025

Veröffentlichung

17. Juni 2026

Rechtsraum

EP

Abstract

A waveform anomaly detection system (360) is provided that automatically detects and tags waveform data patterns in physiological patient (time-series) data that match predefined, clinically validated patterns (1300, 1400, 1500), to enable clinicians to match and corroborate their own observations with tool-triggered findings. As a result, clinicians may make more informed clinical decisions without having to manually review enormous amounts of time-series data. Additionally, when anomalous waveform patterns (1300, 1400, 1500) are detected, relevant patient data from an electronic medical record (EMR) (350) or similar databases and/or platforms (352) may be automatically retrieved and integrated into the waveform data, such that the integrated data may be viewed together on a display device (140). The data may be stored with the anomalous waveform patterns (1300, 1400, 1500) in a database (354) of the waveform anomaly detection system (360), where analysis results can be accessed conveniently by a caregiver of the patient, for example, using a personal computing device such as a smart phone (140).

Anmelder

Firma

GE Precision Healthcare LLC

Land

🇺🇸 USA