System and methods of hierarchical cardiac event detection

• US 20080208069A1
• Filed: 02/27/2007
• Published: 08/28/2008
• Est. Priority Date: 02/27/2007
• Status: Abandoned Application

• Current Assignee: Angel Medical Systems, Inc.
• Original Assignee: Angel Medical Systems, Inc.
• Inventors: John, Michael Sasha, Hopenfeld, Bruce
• Application Number:
  US11/710,904
• Publication Number:
  US 20080208069A1
• Time in Patent Office: Days
• US Class Current: 600/509
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/35 by template matching
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A system for the detection of cardiac events occurring in a human patient is provided. At least two electrodes are included in the system for obtaining an electrical signal from a patient'"'"'s heart. An electrical signal processor is electrically coupled to the electrodes for processing the electrical signal. An electrogram analysis scheme is described, according to which electrogram segments or individual beats are classified according to various features, and different cardiac event tests are applied based on this classification.

Claims

1. A method for assessing the condition of the heart of a human patient, the method comprising the steps of:

receiving an electrogram reflecting the electrical activity within the patient'"'"'s heart,

applying a hierarchical classification scheme to the electrogram based on different features of the electrogram, thereby determining a category for the electrogram, wherein the hierarchical classification scheme comprises a series of classification tests;

estimating the heart'"'"'s condition based on the category.

2. The method of claim 1 wherein the step of estimating the heart'"'"'s condition comprises the step of applying a condition test based on the category, wherein the outcome of the condition test is indicative of the heart'"'"'s condition.

3. The method of claim 1 wherein the step of estimating the heart'"'"'s condition comprises the step of applying a test based on the category, wherein the outcome of a first one of the classification tests serves as an estimate of the heart'"'"'s condition.

4. The method of claim 2 wherein the outcome of the condition test is a measure of myocardial ischemia.

5. The method of claim 4 wherein at least one of the classification tests comprises the step of comparing T wave amplitude with a threshold.

6. The method of claim 4 wherein at least one of the classification tests comprises the step of examining the polarity of an ST segment deviation.

7. The method of claim 4 wherein at least one of the classification tests comprises the step of examining the rate of change of a cardiac feature.

8. The method of claim 4 wherein at least one of the classification tests is heart rate dependent.

9. The method of claim 4 wherein the condition test is heart rate dependent.

10. The method of claim 1 wherein the series of classification tests includes at least a first level of classification tests and a second level of classification tests, and wherein at least one result of the first level of classification tests determines at least one test in the second level of classification tests that will be selected to further classify the electrogram.

11. The method of claim 1 wherein the series of classification tests are mutually exclusive.

12. The method of claim 1 wherein the method is realized by an implantable device, the method further comprising alerting the patient based upon estimating the heart'"'"'s condition.

13. The method of claim 1 wherein the method is realized by an implantable device, the method further comprising providing treatment to the patient based upon estimating the heart'"'"'s condition.

14. The method of claim 1 wherein estimating the heart'"'"'s condition based on the category, includes analyzing the electrogram using an algorithm selected based upon the category.

15. A method for detecting a cardiac event, the method comprising the steps of:

a) receiving an electrogram reflecting the electrical activity within the patient'"'"'s heart,

b) computing a plurality of heart signal feature values from the electrogram;

c) comparing each of a first set of said plurality of heart signal feature values with a corresponding range within a first set of ranges, wherein the values in the first set of ranges are selected to form a combination which is associated with a cardiac event, and wherein the first set of said plurality of heart signal feature values comprises at least two heart signal feature values;

d) comparing each of a second set of said plurality of heart signal feature values with a corresponding range within at a second set of ranges, wherein the values in the second set of ranges are selected to form a combination which is associated with the cardiac event, and wherein the second set of said plurality of heart signal feature values comprises at least two heart signal feature values;

wherein a first one of the ranges in the first set of ranges does not overlap a corresponding range in the second set of ranges, and wherein the first one of the ranges pertains to a heart signal feature other than heart rate, and wherein at least one heart signal feature value in the second set is not within the first set;

e) detecting the cardiac event based on the outcome of steps b and c.

16. The method of claim 15 wherein cardiac event is detected based on the outcome of steps b and c and information from a different electrogram.

17. The method of claim 15 wherein both the first and second sets of ranges include heart signal feature which is the amplitude of the T wave, and the amplitude of the T wave exceeds a threshold in the first set of ranges, heart signal feature and the amplitude of the T wave is less than or equal to the threshold in the second set of heart signal feature ranges (Bruce, this does not seem to make sense).

18. The method of claim 15 wherein steps b and c comprise the steps of accessing a look up table.

19. A method for assessing the condition of the heart of a human patient, the method comprising the steps of:

receiving an electrogram,

applying a classification scheme to the electrogram based on a plurality of features of the electrogram, thereby determining a category for the electrogram, wherein the category is one of a set of non-overlapping categories; and

,

estimating the heart'"'"'s condition based on the category.

20. The method of claim 19, wherein the classification scheme comprises a series of classification tests.

21. The method of claim 19, wherein the category is selected to be one from at least two of the following categories:

transmural ischemia;

early subendocardial ischemia;

late subendocardial ischemia.

22. The method of claim 21, wherein the category is further selected to be one of:

electrogram data from an electrode in an ischemic region;

electrogram data from an electrode outside of an ischemic region.

23. The method of claim 21, wherein the category is further selected based upon one of at least two selected heart rate ranges.

24. The method of claim 21, wherein the category is further selected based upon the historical rate of change of at least one feature of the electrogram.

25. The method of claim 21, wherein the category is further selected contingently upon the historical classification of prior electrogram data.

26. The method of claim 21, wherein the category is further selected based upon the history of heart rate data.

27. The method of claim 21, wherein the category is further selected based upon non-cardiac measures of a patient'"'"'s activity level.

28. A method for detecting a cardiac event, the method comprising the steps of:

a) receiving an electrogram reflecting the electrical activity within the patient'"'"'s heart,

b) computing a plurality of heart signal feature values from the electrogram;

c) comparing each of a first set of said plurality of heart signal feature values with a corresponding range within a first set of ranges, wherein the values in the first set of ranges are selected to form a combination which is associated with a cardiac event, and wherein the first set of said plurality of heart signal feature values comprises at least two heart signal feature values;

d) comparing each of a second set of said plurality of heart signal feature values with a corresponding range within at a second set of ranges, wherein the values in the second set of ranges are selected to form a combination which is associated with the cardiac event, and wherein the second set of said plurality of heart signal feature values comprises at least two heart signal feature values;

wherein a first one of the ranges in the first set of ranges does not overlap a corresponding range in the second set of ranges, and wherein the first one of the ranges pertains to a heart signal feature other than heart rate, and wherein an increase in a first heart signal feature value in the first set is associated with a cardiac event according to the first set of ranges whereas a decrease in the first heart signal feature value in the second set is associated with a cardiac event according to the second set of ranges;

e) detecting the cardiac event based on the outcome of steps b and c.

29. The method of claim 28 wherein cardiac event is detected based on the outcome of steps b and c and information from a different electrogram.

30. The method of claim 28 wherein both the first and second sets of ranges include the amplitude of the T wave, and the amplitude of the T wave is exceeds a threshold in the first set of ranges, heart signal feature and the amplitude of the T wave is less than or equal to the threshold in the second set of heart signal feature ranges.

31. The method of claim 28 wherein steps b and c comprise the steps of accessing a look up table.