System and method for controlling implantable medical device parameters in response to atrial pressure attributes

• US 20060224204A1
• Filed: 03/31/2005
• Published: 10/05/2006
• Est. Priority Date: 03/31/2005
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Jaeger, Amber L., Hettrick, Douglas A., Zielinski, Todd M., Campbell, Nicole M.
• Granted Patent: US 7,181,283 B2
• Time in Patent Office: Days
• US Class Current: 607/23
• CPC Class Codes: A61N 1/36564 controlled by blood pressure

Abstract

In an implantable medical device disclosed herein, a real-time left atrial pressure (“LAP”) signal obtained from a patient'"'"'s heart is used as a feedback control mechanism to adjust one or more device parameters. In accordance with one example embodiment of the invention, the device identifies specific characteristics and attributes of the LAP signal that correlate to hemodynamic performance, and adjusts the device parameters to optimize the LAP characteristics and attributes. The example device is a dual-chamber pacing system, the controlled operating parameter may include the atrioventricular pacing delay, and one LAP attribute suitable for controlling the atrioventricular pacing delay relates to time intervals of v-wave, a-wave, and/or c-wave characteristics of the LAP signal.

Claims

1. A method for controlling implantable medical device parameters, said method comprising:

obtaining a left atrial pressure signal;

identifying at least one attribute of said left atrial pressure signal, said at least one attribute being indicative of cardiac performance; and

automatically adjusting at least one output parameter of an implantable medical device to enhance hemodynamic performance in response to said at least one attribute.

2. A method according to claim 1, further comprising generating a secondary signal based upon a first derivative of said left atrial pressure signal, wherein said identifying step identifies at least one attribute of said secondary signal.

3. A method according to claim 1, said left atrial pressure signal comprising an a-wave characteristic and a c-wave characteristic, and said at least one attribute comprising a temporal indicator based upon said a-wave characteristic and said c-wave characteristic.

4. A method according to claim 1, said left atrial pressure signal comprising a c-wave characteristic, and said at least one attribute comprising an amplitude of said c-wave characteristic.

5. A method according to claim 1, wherein said automatically adjusting step adjusts an atrioventricular delay of said implantable medical device.

6. A method according to claim 1, further comprising repeating said obtaining, identifying, and automatically adjusting steps in a closed loop feedback control process.

7. A method according to claim 1, said left atrial pressure signal comprising a v-wave characteristic, an a-wave characteristic, and a c-wave characteristic, said method further comprising:

determining a v-wave peak time corresponding to said v-wave characteristic, an a-wave peak time corresponding to said a-wave characteristic, and a c-wave peak time corresponding to said c-wave characteristic; and

calculating a first time period (t_va) based upon said v-wave peak time and said a-wave peak time, and a second time period (t_ac) based upon said a-wave peak time and said c-wave peak time, said at least one attribute corresponding to a ratio of t_va and t_ac.

8. A method according to claim 7, wherein said ratio is t_va/t_ac, and said method calibrates said automatically adjusting step according to a target t_va/t_ac ratio.

9. A method according to claim 8, further comprising:

acquiring a measured heart rate; and

altering said target t_va/t_ac ratio in response to said measured heart rate.

10. A dual-chamber pacing implantable medical device comprising:

a data collection module configured to obtain a left atrial pressure signal from a patient;

a data processing module coupled to said data collection module, said data processing module being configured to identify at least one attribute of said left atrial pressure signal, and to correlate said at least one attribute to a hemodynamic status of said patient; and

a therapy module coupled to said data processing module, said therapy module being configured to automatically adjust at least one output parameter of a therapy signal in response to said at least one attribute.

11. A device according to claim 10, said data processing module being further configured to generate a secondary signal based upon a first derivative of said left atrial pressure signal, wherein said at least one attribute comprises at least one attribute of said secondary signal.

12. A device according to claim 10, said left atrial pressure signal comprising an a-wave characteristic and a c-wave characteristic, and said at least one attribute comprising a temporal indicator based upon said a-wave characteristic and said c-wave characteristic.

13. A device according to claim 10, said left atrial pressure signal comprising a c-wave characteristic, and said at least one attribute comprising an amplitude of said c-wave characteristic.

14. A device according to claim 10, wherein said hemodynamic parameter comprises an atrioventricular delay of said therapy signal.

15. A device according to claim 10, said left atrial pressure signal comprising a v-wave characteristic, an a-wave characteristic, and a c-wave characteristic, said data processing module being further configured to:

determine a v-wave peak time corresponding to said v-wave characteristic, an a-wave peak time corresponding to said a-wave characteristic, and a c-wave peak time corresponding to said c-wave characteristic; and

calculate a first time period (t_va) based upon said v-wave peak time and said a-wave peak time, and a second time period (t_ac) based upon said a-wave peak time and said c-wave peak time, said at least one attribute corresponding to a ratio of t_va and t_ac.

16. A dual-chamber pacing implantable medical device comprising:

means for obtaining a left atrial pressure signal of a patient;

means for identifying at least one attribute of said left atrial pressure signal, said at least one attribute being indicative of hemodynamic status of said patient; and

means for automatically adjusting at least one output parameter of a therapy signal in response to said at least one attribute.

17. A device according to claim 16, further comprising means for generating a secondary signal based upon a first derivative of said left atrial pressure signal, wherein said at least one attribute comprises at least one attribute of said secondary signal.

18. A device according to claim 16, said left atrial pressure signal comprising a v-wave characteristic, an a-wave characteristic, and a c-wave characteristic, said device further comprising:

means for determining a v-wave peak time corresponding to said v-wave characteristic, an a-wave peak time corresponding to said a-wave characteristic, and a c-wave peak time corresponding to said c-wave characteristic; and

means for calculating a first time period (t_va) based upon said v-wave peak time and said a-wave peak time, and a second time period (t_ac) based upon said a-wave peak time and said c-wave peak time, said at least one attribute corresponding to a ratio of t_va and t_ac.

19. A device according to claim 18, wherein said ratio is t_va/t_ac, and said means for automatically adjusting is configured to adjust said at least one hemodynamic parameter according to a target t_vat_ac ratio.

20. A device according to claim 19, further comprising:

means for acquiring a measured heart rate of said patient; and

means for altering said target t_va/t_ac ratio in response to said measured heart rate.

21. A device according to claim 16, further comprising means for calculating a timing interval based upon a derivative of said left atrial pressure signal, wherein said timing interval comprises at least one left atrial pressure signal attribute utilized to adjust closed loop feedback control for hemodynamic optimization.