IMPLANTABLE HEART FAILURE MONITOR

• US 20110106201A1
• Filed: 10/30/2009
• Published: 05/05/2011
• Est. Priority Date: 10/30/2009
• Status: Abandoned Application

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Bhunia, Sourav
• Application Number:
  US12/609,479
• Publication Number:
  US 20110106201A1
• Time in Patent Office: Days
• US Class Current: 607/18
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/1459 invasive, e.g. introduced into the body by a catheter A61B5/1464 takes precedence
• CPC Class Codes: A61B 5/4884 inducing physiological or psychological stress, e.g. applications for stress testing
• CPC Class Codes: A61B 5/6846 specially adapted to be brought in contact with an internal body part, i.e. invasive

Abstract

An implantable medical device and associated method monitor a heart failure patient by sensing a signal responsive to oxygen availability in an extravascular volume of skeletal muscle tissue. The signal is used to compute a tissue oxygenation measurement. A change in the tissue oxygenation measurement is detected, and a time interval corresponding to the detected change in muscle tissue oxygenation is computed. The time interval is used for detecting if a heart failure condition is worsening or improving.

Claims

1. A method for monitoring a heart failure patient, the method comprising:

sensing a first signal responsive to oxygen availability in an extravascular volume of skeletal muscle tissue in the patient and computing a tissue oxygenation measurement using the first signal;

detecting a change in the tissue oxygenation measurement;

computing a time interval corresponding to the detected change in muscle tissue oxygenation; and

detecting if a heart failure condition is worsening in response to the computed time interval.

2. The method of claim 1 further comprising:

sensing a second signal responsive to physical activity of a patient;

detecting an episode of non-resting patient activity in response to the first signal; and

detecting the change in the tissue oxygenation measurement subsequent to detecting the episode of non-resting patient activity.

3. The method of claim 2, wherein detecting the change in the tissue oxygenation measurement comprises detecting a first level of tissue oxygenation and detecting a second level of tissue oxygenation during the episode, the second level being lower than the first level.

4. The method of claim 3, further comprising detecting a third level of tissue oxygenation corresponding to a plateau during the episode, the second level being intermediate to the first level and the third level,

the detected change being the change between the first level and the third level.

5. The method of claim 2, wherein detecting the change in the tissue oxygenation measurement comprises detecting a first level of tissue oxygenation corresponding to a minima reached during the detected non-resting activity;

and

detecting a second level of tissue oxygenation greater than the first level and occurring after the first level of tissue oxygenation.

6. The method of claim 5, further comprising detecting a third level of tissue oxygenation corresponding to a plateau higher than the first level and occurring after the first level, the second level being intermediate to the first level and the third level,

the detected change being the change from the first level to one of the second and the third level.

7. The method of claim 2, further comprising:

determining a feature of the first signal as a first measure of activity level for the episode;

detecting a next episode of non-resting activity having a next measure of activity level equal to the first measure of activity level; and

computing a next time interval corresponding to a change in tissue oxygenation in response to detecting the next episode;

wherein detecting if the heart failure condition is worsening comprises determining a trend using the time interval and the next time interval.

8. The method of claim 7 wherein the feature being one of a maximum peak activity level, a maximum sustained activity level, and an average activity level.

9. The method of claim 2, further comprising:

determining a feature of the first signal as a first measure of activity level for the episode;

detecting a next episode of non-resting activity having a next measure of activity level different than the first measure;

computing a next time interval corresponding to a change in tissue oxygenation in response to detecting the next episode;

plotting the computed time interval and the next time interval as a function of the respective first measure and next measure;

wherein detecting if the heart failure condition is worsening comprises determining a trend in the plotted time interval and plotted next time interval.

10. The method of claim 2 further comprising:

plotting the time interval and a previously determined time interval as a function of activity;

determining a best fit curve of the plotted time interval and previously determined time interval;

wherein detecting if the heart failure condition is worsening comprises comparing a feature of the curve to a feature of a previously determined best fit curve.

11. The method of claim 1 further comprising;

delivering a heart failure therapy;

adjusting a parameter controlling delivery of the heart failure therapy from a first setting to a second setting;

computing the time interval when the heart failure therapy is delivered using the first setting and when the heart failure therapy is delivered using the second setting;

identifying an optimal setting of the parameter using the computed time intervals; and

delivering the therapy using the optimal setting.

12. The method of claim 1 wherein detecting the change in the tissue oxygenation measurement comprises detecting a tissue oxygenation minima and measuring at least one subsequent tissue oxygenation measurement greater than the minima;

wherein computing the time interval comprises computing a recovery curve slope using the at least one subsequent tissue oxygenation measurement.

13. An implantable medical device for monitoring a heart failure patient, the device comprising:

a tissue oxygenation sensor sensing a first signal responsive to oxygen availability in an extravascular volume of skeletal muscle tissue in the patient;

a processor receiving the first signal and configured to compute a tissue oxygenation measurement using the first signal, detect a change in the tissue oxygenation measurement compute a time interval corresponding to the detected change in muscle tissue oxygenation; and

detect if a heart failure condition is worsening in response to the computed time interval.

14. The device of claim 13 further comprising an activity sensor generating a second signal responsive to physical activity of a patient;

the processor receiving the second signal and further configured to detect an episode of non-resting patient activity in response to the second signal and detect the change in the tissue oxygenation measurement subsequent to detecting the episode of non-resting patient activity.

15. The device of claim 14, wherein detecting the change in tissue oxygenation measurement comprises detecting a first level of tissue oxygenation and detecting a second level of tissue oxygenation during the episode, the second level being lower than the first level.

16. The device of claim 15, wherein the processor is further configured to detect a third level of tissue oxygenation corresponding to a plateau during the episode, the second level being intermediate to the first level and the third level,

the detected change being the change between the first level and the third level.

17. The device of claim 14, wherein detecting the change in the tissue oxygenation measurement comprises detecting a first level of tissue oxygenation corresponding to a minima reached during the detected non-resting activity;

and

detecting a second level of tissue oxygenation greater than the first level and occurring after the first level of tissue oxygenation.

18. The device of claim 17, wherein the processor is further configured to detect a third level of tissue oxygenation corresponding to a plateau higher than the first level and occurring after the first level, the second level being intermediate to the first level and the third level,

the detected change being the change from the first level to the second level.

19. The device of claim 14, wherein the processor is further configured to:

determine a feature of the second signal as a first measure of activity level for the episode;

detect a next episode of non-resting activity having a next measure of activity level equal to the first measure of activity level; and

compute a next time interval corresponding to a change in tissue oxygenation in response to detecting the next episode;

wherein detecting if the heart failure condition is worsening comprises determining a trend of the time interval and the next time interval.

20. The device of claim 19 wherein the feature being one of a maximum peak activity level, a maximum sustained activity level, and an average activity level.

21. The device of claim 14 wherein the processor is further configured to:

determine a feature of the first signal as a first measure of activity level for the episode;

detect a next episode of non-resting activity having a next measure of activity level different than the first measure;

compute a next time interval corresponding to a change in tissue oxygenation in response to detecting the next episode;

plotting the computed time interval and the next time interval as a function of the respective first measure and next measure;

wherein detecting if the heart failure condition is worsening comprises determining a trend in the plotted time interval and plotted next time interval.

22. The device of claim 14 wherein the processor is further configured to:

plot the time interval and a previously determined time interval as a function of activity;

determine a best fit curve of the plotted time interval and previously determined time interval;

wherein detecting if the heart failure condition is worsening comprises comparing a feature of the curve to a feature of a previously determined best fit curve.

23. The device of claim 13 further comprising;

a therapy delivery module;

a control module for adjusting a therapy control parameter used by the therapy delivery module from a first setting to a second setting;

wherein the processor is configured to compute the time interval when the heart failure therapy is delivered using the first setting and when the heart failure therapy is delivered using the second setting;

identify an optimal setting of the parameter using the computed time intervals;

wherein the control module uses the optimal setting for controlling the therapy delivery module to deliver the therapy.

24. The device of claim 13 wherein the processor is configured to detect the change in the tissue oxygenation measurement by detecting a tissue oxygenation minima and measuring at least one subsequent tissue oxygenation measurement greater than the minima;

wherein computing the time interval comprises computing a recovery curve slope using the at least one subsequent tissue oxygenation measurement.