MORPHOLOGY BASED ISCHEMIA DETECTION USING INTRACARDIAC ELECTROGRAMS

• US 20110071413A1
• Filed: 09/23/2010
• Published: 03/24/2011
• Est. Priority Date: 09/24/2009
• Status: Abandoned Application

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Gupta, Kritika, Zhang, Yi, Li, Dan, Thompson, Julie A., Shome, Shibaji
• Application Number:
  US12/888,900
• Publication Number:
  US 20110071413A1
• Time in Patent Office: Days
• US Class Current: 600/509
• CPC Class Codes: A61B 5/35 by template matching
• CPC Class Codes: A61B 5/363 Detecting tachycardia or bradycardia

Abstract

An apparatus comprises an ambulatory cardiac signal sensing circuit configured to provide an electrical cardiac signal representative of cardiac activity of a subject and processor. The processor includes a feature module, a correlation module, and an ischemia detection module. The feature module is configured to identify a fiducial feature in the cardiac signal and locate one or more cardiac features in the cardiac signal using the fiducial feature. The correlation module is configured to calculate a measure of similarity of morphology for a segment of the cardiac signal that includes the cardiac features. The ischemia detection module is configured to detect a change in the measure of similarity and determine whether the detected change in the measure of similarity is indicative of ischemia.

Claims

1. An apparatus comprising:

an ambulatory cardiac signal sensing circuit configured to provide an electrical cardiac signal representative of cardiac activity of a subject;

a processor communicatively coupled to the ambulatory cardiac signal sensing circuit and including;

a feature module configured to;

identify a fiducial feature in the cardiac signal; and

locate one or more cardiac features in the cardiac signal using the fiducial feature; and

a correlation module configured to calculate a measure of similarity of morphology for a segment of the cardiac signal that includes the cardiac features; and

an ischemia detection module configured to;

detect a change in the measure of similarity; and

determine whether the detected change in the measure of similarity is indicative of ischemia and provide an indication of ischemia to a user or process according to the detected change in the measure of similarity.

2. The apparatus of claim 1,

wherein the ambulatory cardiac signal sensing circuit includes a first sensing channel configured to provide a first cardiac signal, and a second sensing channel configured to provide a second sensing channel, and

wherein the feature module is configured to:

identify the fiducial feature using the first cardiac signal; and

locate the cardiac features using the second cardiac signal, and

wherein the correlation module is configured to calculate the measure of similarity using a segment of the second cardiac signal.

3. The apparatus of claim 1,

wherein the feature module is configured to locate the cardiac features in the cardiac signal using SPs established in a template segment, wherein each SP corresponds to a turn encountered in the template segment, and

wherein the correlation module is configured to calculate a correlation coefficient (CC) that indicates a degree of similarity between a shape of the segment of the cardiac signal that includes the located SP features and a shape of the template segment.

4. The apparatus of claim 1,

wherein the feature module is configured to establish significant points (SPs) in a segment of the cardiac signal, wherein each SP corresponds to a turn encountered in the cardiac signal,

wherein the correlation module is configured to calculate a measure of similarity between the established SPs of the cardiac signal segment and the established SPs of the template signal, and

wherein the ischemia detection module is configured to detect a change in the measure of similarity of the established SPs.

5. The apparatus of claim 4, wherein the correlation module is configured to determine the measure of similarity using at least one of:

a number of SPs established for the cardiac signal segment;

a location of a turn corresponding to an SP of the cardiac signal segment;

a degree of turn of the cardiac signal segment corresponding to an SP; and

an amplitude of the cardiac signal segment at a corresponding turn to an SP.

6. The apparatus of claim 1, wherein the feature module is configured to locate one or more of:

a maximum value of the cardiac signal;

a minimum value of the cardiac signal;

a maximum slope of the cardiac signal;

a peak amplitude of a T-wave in the cardiac signal;

an end of a T-wave in the cardiac signal;

an S-wave to T-wave segment in the cardiac signal; and

a significant point in the cardiac signal.

7. The apparatus of claim 1,

wherein the correlation module is configured to:

align the fiducial feature of the of the cardiac signal segment with a corresponding feature in a template segment of the cardiac signal; and

calculate a correlation coefficient (CC) that indicates a degree of similarity between a shape of the segment of the cardiac signal that includes the located cardiac features and a shape of the template segment, and

wherein the ischemia detection module is configured to detect a change in the CC for the segment of the cardiac signal and determine whether the change is indicative of ischemia.

8. The apparatus of claim 7, including:

a therapy circuit communicatively coupled to the processor and configured to provide electrical pacing therapy to the subject,

wherein the ambulatory cardiac signal sensing circuit is configured to provide an electrical cardiac signal representative of cardiac depolarization, and

wherein the correlation module is configured to;

calculate the CC using a first template segment when the cardiac depolarization is representative of an intrinsic beat; and

calculate the CC using a second template segment when the cardiac depolarization is representative of a paced beat.

9. The apparatus of claim 1,

wherein the ambulatory cardiac signal sensing circuit is configured to sense a cardiac signal that includes a first cardiac signal segment and a second cardiac signal segment,

wherein the feature module is configured to identify a fiducial feature in the first cardiac signal segment and in the second cardiac signal segment, and

wherein the correlation module is configured to calculate a first measure of similarity for the first signal segment and calculate a second measure of similarity for the second segment.

10. The apparatus of claim 9,

wherein the first cardiac signal segment includes depolarization and the second cardiac segment include repolarization,

wherein the feature module is configured to identify the depolarization and repolarization, and

wherein the correlation module is configured to calculate a first measure of similarity for the first signal segment to a first template that includes depolarization and calculate a second measure of similarity for the second signal segment to a second template that includes repolarization.

11. The apparatus of claim 1, wherein the ischemia detection module is configured to:

calculate variation in the measure of similarity; and

deem that the change is indicative of ischemia when the calculated variation in the measure of similarity exceeds a specified threshold variation value.

12. A method comprising:

sensing at least one cardiac signal representative of cardiac activity of a subject using an ambulatory medical device (IMD);

identifying a fiducial feature in the cardiac signal;

locating one or more cardiac features in the cardiac signal using the fiducial feature;

calculating a measure of similarity of morphology of a segment of the cardiac signal that includes the located cardiac features;

detecting a change in the calculated measure of similarity; and

determining whether the detected change in the calculated measure of similarity is indicative of ischemia and providing an indication of ischemia to a user or process according to the detected change.

13. The method of claim 12,

wherein sensing at least one cardiac signal includes sensing a plurality of cardiac signals,

wherein a first cardiac signal is sensed using a first sensing channel and a second cardiac signal is sensed using a second sensing channel, and

wherein the fiducial feature is identified using the first cardiac signal, the cardiac features are located in the second cardiac signal, and the measure of similarity is calculated using a segment of the second cardiac signal.

14. The method of claim 12,

wherein locating cardiac features includes establishing significant points (SPs) in a segment of the cardiac signal, wherein each SP corresponds to a turn encountered in the cardiac signal,

wherein calculating a measure of similarity of morphology includes determining similarity between the SPs in the cardiac signal segment and SPs in a template of the signal segment, and

wherein detecting a change in the measure of similarity includes detecting a change in the established SPs.

15. The method of claim 12,

wherein locating cardiac features includes establishing significant points (SPs) in a segment of the cardiac signal, wherein each SP corresponds to a turn encountered in the cardiac signal, and

wherein calculating a measure of similarity of morphology includes calculating a correlation coefficient (CC) that indicates a degree of similarity between a shape of a segment of the cardiac signal that includes the established SPs and a shape of the template segment.

16. The method of claim 12, wherein locating cardiac features in the cardiac signal includes locating one or more of:

a maximum value of the cardiac signal;

a minimum value of the cardiac signal;

a maximum slope of the cardiac signal;

a peak amplitude of a T-wave in the cardiac signal;

an end of a T-wave in the cardiac signal;

an S-wave to T-wave segment in the cardiac signal; and

a significant point in the cardiac signal.

17. The method of claim 12, wherein calculating a measure of similarity of morphology includes:

aligning the fiducial feature of the of the cardiac signal segment with a corresponding feature in a template segment of the cardiac signal; and

calculating a correlation coefficient (CC) that indicates a degree of similarity between a shape of the segment of the cardiac signal that includes the feature and a shape of the template segment, and

wherein detecting a change in the calculated measure of similarity includes detecting a change in the CC that exceeds a CC threshold change value.

18. The method of claim 17, wherein calculating the CC includes:

determining at least one of patient heart rate and depolarization interval;

selecting a template segment from a plurality of template segments according to the determined rate or interval, wherein the plurality of template segments correspond to different ranges of rate or interval; and

determining the CC using the selected template segment.

19. The method of claim 12, wherein determining whether the change in the calculated measure of similarity is indicative of ischemia includes:

calculating a central tendency of the calculated measure of similarity of morphology; and

deeming that the change is indicative of ischemia when the calculated central tendency satisfies a specified threshold central tendency value.

20. The method of claim 12, wherein determining whether the change in the calculated measure of similarity is indicative of ischemia includes:

trending the change in the calculated measure of similarity of morphology; and

deeming whether the change is indicative of ischemia using the trended calculated measure of similarity.