INTRAMYOCARDIAL ANOMALOUS ACTIVITY DETECTION BY SUBTRACTING MODELED RESPIRATORY EFFECT

Patent №

US 6,132,381

Granted

2000-10-17

Filed 1997

Owner

HEWLETT-PACKARD COMPANY

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08911089

A technique of detecting repeating patterns of anomalous intramyocardial Wenckebach electrical activity in a patient is provided. The method of the technique deals with determining the presence or absence of such intramyocardial anomaly by processing signals that are electrical potential signals which include a cardiac component and a respiratory component. The method includes estimating the respiratory component (preferably by a regression curve-fitting technique based on data of the electrical potential signals and data of respiratory signals), finding the difference between the electrical potential and the estimated respiratory component and based on this difference inferring the presence of absence of the intramyocardial anomaly. Preferably, a generalized inverse of a matrix representing Wenckebach basis functions reflecting Wenckebach phases and modes is used to act on a vector representing the difference between the electrical potential and the estimated respiratory component to determine whether any repeating intramyocardial electrical anomaly is present.

Machine learningVisionAI hardwareA61B 5/7203A61B 5/349A61B 5/0535

AI classification

Vision0.98
AI hardware0.92
Machine learning0.73
Planning0.02
Evolutionary computation0.01
Knowledge representation0.00
Speech0.00
Natural language0.00

Ownership

HEWLETT-PACKARD COMPANY

assignment · 91660123

Assignors

FORBES, A. DEAN, HELFENBEIN, ERIC D.

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

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