SYSTEM AND METHOD OF DISCOVERING, DETECTING AND CLASSIFYING ALARM PATTERNS FOR ELECTROPHYSIOLOGICAL MONITORING SYSTEMS

Patent №

US 7,679,504

Granted

2010-03-16

Filed 2007

Owner

GENERAL ELECTRIC COMPANY

Lab

AI components

3

ml · vision · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11749400

A system and method for electrophysiological monitoring system including a plurality of sensors configured to detect one or more health parameters of a patient and a monitoring device configured to receive a plurality of sensing signals from the sensors and output a monitoring signal representative of an alarm sequence, wherein the alarm sequence comprises a set of alarm events identified in the sensing signals. The system also includes an on-line monitoring module configured to generate a suffix tree data structure in response to the monitoring signal to identify alarm patterns from the set of alarm events and classify the alarm sequence in response to the occurrences of alarm patterns in the alarm sequence. The on-line monitoring module is further configured to alert monitoring personnel of an alarm condition after processing the alarm sequence in real-time.

Machine learningVisionKnowledge representationA61B 5/0205A61B 5/02455A61B 5/7264A61B 5/746G08B 21/04G16H 50/20G16Z 99/00A61B 5/7267+2 more

AI classification

Knowledge representation1.00
Vision0.86
Machine learning0.66
Planning0.06
Natural language0.05
AI hardware0.03
Evolutionary computation0.00
Speech0.00

Ownership

GENERAL ELECTRIC COMPANY

assignment · 193700733

Assignors

WANG, XI, JOHNSON, TIMOTHY L., TREACY, STEPHEN T.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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