Multiple parameter electrocardiograph system

• US 20020138012A1
• Filed: 03/20/2001
• Published: 09/26/2002
• Est. Priority Date: 03/20/2001
• Status: Abandoned Application

• Current Assignee: Morrison Hodges, Timothy R. Church
• Original Assignee: Morrison Hodges, Timothy R. Church
• Inventors: Church, Timothy R., Hodges, Morrison
• Application Number:
  US09/813,342
• Publication Number:
  US 20020138012A1
• Time in Patent Office: Days
• US Class Current: 600/509
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

The present invention relates to a diagnostic tool which utilizes electrocardiographic information as well as additional patient data to predict the existence of heart disease. More specifically the invention shows a model for predicting disorders treatable with implantable cardioverter defibrillators.

Claims

1. A method of stratifying risk of sudden cardiac death (SCD) for an individual patient comprising the steps of:

a) collecting clinical data and ECG data in single recording session to compute a set of parameters, including at least two parameters selected from the group including;

age,sex,ejection fraction prior MI, heart rate variability signal averaged ECG, T-wave alternans, QT interval, QT interval dispersion, QT interval variability, T-wave complexity, ST segment depression;

b) combing at least two parameters form the set of parameters in a an additive model, thereby predicting the incidence of SCD for the individual patient within a predetermined time interval.