System and method for sudden cardiac death prediction

• US 7,272,435 B2
• Filed: 04/15/2004
• Issued: 09/18/2007
• Est. Priority Date: 04/15/2004
• Status: Active Grant

• Current Assignee: GE Medical Systems Information Technologies Incorporated (General Electric Company)
• Original Assignee: GE Medical Systems Information Technologies Incorporated (General Electric Company)
• Inventors: Rowlandson, G. Ian
• Primary Examiner(s): Layno; Carl
• Assistant Examiner(s): Heller; Tammie K.
• Application Number:
  US10/825,534
• Publication Number:
  US 20050234355A1
• Time in Patent Office: 1,251 Days
• Field of Search: 128/920, 128/922, 600/513, 600/515
• US Class Current: 600/513
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/333 Recording apparatus specially adapted therefor
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/4884 inducing physiological or psychological stress, e.g. applications for stress testing
• 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: A61B 6/503 for diagnosis of the heart
• CPC Class Codes: A61B 6/504 for diagnosis of blood vessels, e.g. by angiography
• CPC Class Codes: A61B 6/56 Details of data transmission or power supply, e.g. use of slip rings
• CPC Class Codes: A61B 8/08 Detecting organic movements or changes, e.g. tumours, cysts, swellings A61B8/02 - A61B8/06 take precedence
• CPC Class Codes: A61B 8/0883 for diagnosis of the heart
• CPC Class Codes: A61B 8/565 involving data transmission via a network
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: Y10S 128/922 including image analysis

Abstract

A device that calculates a sudden cardiac death score based on acquired patient data. A system and method that combines independent indications of sudden cardiac death to predict sudden cardiac death. The system can include various cardiology test systems interconnected to a sudden cardiac death prediction system.

Claims

1. A method of predicting sudden cardiac death in a patient, the method comprising:

acquiring patient data from a plurality of medical equipment databases with a set of acquisition devices;

comparing the patient data to stored patterns to determine a measurement with an analysis module;

comparing the measurement to a range to determine a correlation with a decision support module, wherein the correlation reflects a level of heart disease;

diagnosing a sudden cardiac death risk score with a diagnosis module; and

generating a single report based on the patient data, wherein the single report includes the sudden cardiac death risk score and a set of electrocardiogram data, an electrocardiogram pattern, an electrocardiogram correlation, an electrocardiogram measurement, image data, an image pattern, an image correlation, an image measurement, a mathematical measurement, a parameter value, and a range.

2. The method of claim 1 and further comprising diagnosing the sudden cardiac death risk score based on at least one of an image correlation, an electrocardiogram correlation, and a mathematical correlation.

3. A computer program embodied by a computer readable medium capable of being executed by a computer, the computer program for use in a sudden cardiac death prediction system, the computer program comprising:

an acquisition module that communicates over a network to acquire patient data from plurality of medical equipment databases;

an analysis module that analyzes the patient data and calculates a plurality of measurements;

a decision support module that analyzes the plurality of measurements and determines a level of heart disease;

a diagnosis module that provides a medical diagnosis and sudden cardiac death prediction score based on the level of heart disease; and

a report module that provides a single report including at least the sudden cardiac death prediction score, and further wherein the single report includes a set of electrocardiogram data, an electrocardiogram pattern, an electrocardiogram correlation, an electrocardiogram measurement, image data, an image pattern, an image correlation, an image measurement, a mathematical measurement, a parameter value, and a range.

4. The computer program of claim 3 wherein the single report further includes at least one of a diagnosis, a recommended treatment, a recommended follow-up test, a patient identifier, a patient history, and a physician identifier.

5. The computer program of claim 3, wherein the analysis module includes a pattern recognition module, the pattern recognition module accessing at least one of the electrocardiogram patterns and image patterns.

6. The computer program of claim 3 wherein the analysis module includes a mathematical relationship module.

7. A method of displaying a prediction of sudden cardiac death, the method comprising:

generating a single report based on data acquired from a plurality of medical devices,

the single report including a patient history and a physician identifier;

the single report including a set of electrocardiogram data, an electrocardiogram pattern, an electrocardiogram correlation, an electrocardiogram measurement, image data, an image pattern, an image correlation, an image measurement, a mathematical measurement, a parameter value, and a range; and

the single report including at least one of a sudden cardiac death risk score, a diagnosis, a recommended treatment, and a recommended follow-up test; and

displaying the single report for review by medical personnel.

8. A sudden cardiac death prediction system comprising:

an acquisition module connected to a plurality of inputs for receiving patient data and image data from a plurality of databases;

means for analyzing the patient data and the image data to calculate a plurality of measurements;

a decision support module that analyzes the plurality of measurements and determines a level of heart disease; and

a diagnosis module to generate a sudden cardiac death prediction score based on the level of heart disease; and

a report module that provides a single report including at least the sudden cardiac death prediction score, and further wherein the single report includes a set of electrocardiogram data, an electrocardiogram pattern, an electrocardiogram correlation, an electrocardiogram measurement, image data, an image pattern, an image correlation, an image measurement, a mathematical measurement, a parameter value, and a range.

9. A medical device for determining a risk of sudden cardiac death, the medical device comprising:

an acquisition module operable to acquire ECG data and image data; and

an analysis module operable to calculate a plurality of measurements based upon the ECG data and the image data;

a decision support module that analyzes the plurality of measurements and determines a level of heart disease; and

a diagnosis module to generate a sudden cardiac death score based on the level of heart disease; and

a report that provides a single report including at least the sudden cardiac death prediction score, and further wherein the single report includes a set of electrocardiogram data an electrocardiogram pattern, an electrocardiogram correlation, an electrocardiogram measurement, image data, an image pattern, an image correlation, an image measurement, a mathematical measurement, a parameter value, and a range.