System and method for ischemia classification with implantable medical device

• US 8,798,723 B2
• Filed: 01/31/2007
• Issued: 08/05/2014
• Est. Priority Date: 01/31/2007
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Song, Zhendong, Lu, Steven N.
• Primary Examiner(s): Koharski, Christopher D
• Assistant Examiner(s): OROPEZA, FRANCES P
• Application Number:
  US11/669,372
• Publication Number:
  US 20080183087A1
• Time in Patent Office: 2,743 Days
• Field of Search: 600/373, 600/374, 600/393, 600/509, 600/512, 600/513, 600/516, 600/519, 607/4, 607/5, 607/6, 607/9, 607/25, 607/119, 607/122, 607/123
• US Class Current: 600/509
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/358 Detecting ST segments
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
• 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: A61N 1/3627 for treating a mechanical deficiency of the heart, e.g. congestive heart failure or cardiomyopathy
• CPC Class Codes: A61N 1/36542 controlled by body motion, e.g. acceleration

Abstract

An implantable medical device monitors ST segment data collected from EGM. ST trends are established and monitored over time. The IMD is able to discern whether the data indicate supply ischemia, demand ischemia, or other physiological causes. The IMD is then able to provide appropriate information and alerts.

Claims

1. A method comprising:

obtaining an electrogram representing cardiac data from an implantable medical device for a plurality of cardiac cycles during a period of time;

monitoring heart rate during the period of time;

determining an ST segment data point for each of the cardiac cycles;

evaluating the ST segment data points;

determining whether the evaluated ST segment data points indicate supply ischemia;

determining whether a trend of a plurality of the ST segment data points tracked a trend of a corresponding plurality of monitored heart rates during the period of time; and

confirming the determination of whether the evaluated ST segment data points indicate supply ischemia based on whether the trend of the plurality of ST segment data points tracked the trend of the plurality of monitored heart rates.

2. The method of claim 1, further comprising ruling out a determination of supply ischemia when the trend of the plurality of ST segment data points tracked the trend of the plurality of monitored heart rates.

3. The method of claim 2, further comprising detecting demand ischemia when the trend of the plurality of ST segment data points tracked the trend of the plurality of monitored heart rates.

4. The method of claim 1, further comprising evaluating a secondary indicator to confirm the determination of whether the evaluated ST segment data points indicate supply ischemia, wherein the secondary indicator includes a respiration rate and an activity sensor.

5. The method of claim 4, wherein supply ischemia is indicated if indicated by the ST segment data points and an increased respiration rate is sensed without a corresponding sensed increase in activity.

6. The method of claim 1, further comprising evaluating a secondary indicator to confirm the determination of whether the evaluated ST segment data points indicate supply ischemia, wherein the secondary indicator is a position sensor that provides postural position data.

7. The method of claim 6, wherein supply ischemia is not indicated if an abrupt postural change corresponds in time with the indication of the ST data segments.

8. The method of claim 1, wherein determining an ST segment data point further comprises:

identifying a peak of an R wave;

adding a predetermined time interval to the identified peak; and

identifying a recorded value at a time identified by the predetermined time interval after the peak of the R wave as the ST segment data point.

9. The method of claim 8, further comprising:

determining a PR isoelectric baseline value; and

subtracting the PR isoelectric baseline value from the recorded value to identify the ST segment data point.

10. The method of claim 1, wherein evaluating the ST segment data points further comprises:

monitoring the ST segment data point values; and

initiating a timer interval if a given ST segment data point value exceeds a threshold value, wherein determining whether the evaluated ST segment data points indicate supply ischemia occurs based upon data collected during the timer interval.

11. The method of claim 10, further comprising:

determining a maximum ST segment data point value during the timer interval;

determining an amount of time from initiation of the timer interval until the maximum ST segment data point value occurs; and

determining that the evaluated ST segment data points do not indicate supply ischemia if the amount of time is less than a first short value or greater than a first long value.

12. The method of claim 11, further comprising:

determining that the evaluated ST segment data points do not indicate supply ischemia if less than a predetermined percentage of the ST segment data points occurring during the timer interval exceed the threshold value.

13. The method of claim 11, further comprising:

determining that the evaluated ST segment data points do not indicate supply ischemia if an ST segment data point occurring at a termination of the timer interval is less than a predetermined percentage of the maximum ST segment data value.

14. The method of claim 11, further comprising:

calculating a slope of the ST segment data points prior to the maximum ST segment data point; and

determining that the evaluated ST segment data points do not indicate supply ischemia if the slope is less than a first slope value.

19. The method of claim 1, wherein monitoring the heart rate comprises determining a plurality of heart rate values during the period of time, and wherein determining whether a trend of a plurality of the ST segment data points tracked a trend of a corresponding plurality of monitored heart rates comprises determining an amount of correlation between the trend of the plurality of heart rate values and the trend of the ST segment data points.

15. An apparatus comprising:

means for obtaining an electrogram representing cardiac data from an implantable medical device for a plurality of cardiac cycles during a period of time;

means for monitoring heart rate during the period of time;

means for determining an ST segment data point for each of the cardiac cycles;

means for evaluating the ST segment data points;

means for determining whether the evaluated ST segment data points indicate supply ischemia;

means for determining whether a trend of a plurality of the ST segment data points tracked a trend of a corresponding plurality of monitored heart rates during the period of time; and

means for confirming the determination of whether the evaluated ST segment data points indicate supply ischemia based on whether the trend of the plurality of ST segment data points tracked the trend of the plurality of monitored heart rates.

16. The apparatus of claim 15, further comprising means for detecting demand ischemia when the trend of the plurality of ST segment data points tracked the trend of the plurality of monitored heart rates.

17. The apparatus of claim 15, further comprising:

means for sensing respiration;

means for sensing activity;

means for sensing and evaluating a secondary indicator to confirm the determination of whether the evaluated ST segment data points indicate supply ischemia; and

means for evaluating the sensed activity and sensed respiration as the secondary indicator and determining supply ischemia if indicated by the ST segment data points and an increase respiration rate does not correlate with the sensed activity level.

18. The apparatus of claim 15, further comprising means for monitoring patient posture and determining that supply ischemia is not present if a variation in the ST segment data points correlates with an abrupt change in posture.

20. The apparatus of claim 15, wherein means for monitoring heart rate comprises means for determining a plurality of heart rate values during the period of time, and wherein means for determining whether a trend of a plurality of the ST segment data points tracked a trend of a corresponding plurality of monitored heart rates comprises means for determining an amount of correlation between the trend of the plurality of heart rate values and the trend of the ST segment data points.

21. The apparatus of claim 15, further comprising means for ruling out a determination of supply ischemia when the trend of the plurality of ST segment data points tracked the trend of the plurality of monitored heart rates.