Method and apparatus for determining left ventricular lusitropy

Patent metadata

Field	Value
Publication number	US-9597510-B2
Application number	US-201113307827-A
Country	US
Kind code	B2
Filing date	Nov 30, 2011
Priority date	Nov 30, 2010
Publication date	Mar 21, 2017
Grant date	Mar 21, 2017

Abstract

A chronically implanted medical device, connected to a medical electrical lead that includes a sensor, is used to detect diastolic dysfunction. A LV accelerometer signal is sensed through the sensor. Based on the LV accelerometer signal, a determination is made as to whether diastolic dysfunction data exists.

First claim

The invention claimed is:

1. An automated method to detect relaxation abnormality in heart tissue through a chronically implanted medical device connected to a medical electrical lead, the method comprising:
sensing a LV accelerometer signal through an implantable mechanical sensor affixed to the medical electrical lead, the mechanical sensor disposed at or near a right ventricle (RV) or a left ventricle (LV) of a patient;
extracting complete relaxation period data from the LV accelerometer signal;
comparing the extracted complete relaxation period data to baseline data; and
determining whether relaxation abnormality in the heart tissue exists based upon comparing the extracted complete relaxation cycle data to the baseline data.

2. The method of claim 1 , wherein the comparing step involves template matching.

3. The method of claim 1 , wherein the comparing step involves waveform comparison.

4. The method of claim 1 , wherein comparing step involves using a feature from the extracted complete relaxation cycle data.

5. The method of claim 1 , further comprising quantifying a magnitude of the relaxation abnormality.

6. The method of claim 1 , wherein the lead is placed endocardially in one of the RV and the LV.

7. The method of claim 1 , wherein the lead is placed epicardially to one of the RV and the LV.

8. The method of claim 1 , wherein the lead is placed intravascularly to one of the RV and the LV.

9. An automated method to detect relaxation abnormality in heart tissue through a chronically implanted medical device connected to a medical electrical lead, the method comprising:
sensing a LV accelerometer signal through an implantable mechanical sensor affixed to the medical electrical lead, the mechanical sensor disposed at or near a right ventricle (RV) or a left ventricle (LV) of a patient;
extracting data of a complete relaxation cycle from the LV accelerometer signal;
comparing the extracted complete relaxation cycle data to baseline data;
determining whether relaxation abnormality exists in the heart tissue based upon comparing the extracted complete relaxation cycle data to the baseline data; and
quantifying a magnitude of the relaxation abnormality.

10. The method of claim 9 wherein the relaxation abnormality consists of left ventricular lusitropy.

11. The method of claim 9 wherein quantifying the magnitude of the relaxation abnormality consists of classifying the relaxation abnormality as one of a severe case, a moderate case, and a mild case.

12. The method of claim 9 , wherein the lead is placed endocardially in one of the RV and the LV.

13. The method of claim 9 , wherein the lead is placed epicardially to one of the RV and the LV.

14. The method of claim 9 , wherein the lead is placed intravascularly to one of the RV and the LV.

15. The method of claim 9 , wherein the lead is disposed in the coronary sinus.

16. The method of claim 9 , further comprising:
generating a notification signal to a receiver that relaxation abnormality is detected.

17. The method of claim 16 , wherein the notification signal is transmitted to one of a healthcare provider and a patient.

18. The method of claim 9 , wherein comparing step involves template matching the extracted complete relaxation cycle data to the baseline data which consists of a baseline complete relaxation cycle.

19. The method of claim 9 , wherein comparing step involves waveform comparison.

20. The method of claim 9 , wherein comparing step involves using a feature from the extracted complete relaxation cycle data.

21. The method of claim 9 wherein the baseline data is obtained from a patient.

22. The method of claim 9 wherein the baseline data is based on a population of patients.

Assignees

• Prakash Rajan
• Katra Rodolphe
• Medtronic Inc

Inventors

• Prakash Rajan
• Katra Rodolphe

Classifications

• A61N1/36514 Primary

  controlled by a physiological quantity other than heart potential, e.g. blood pressure (controlled by two or more physical parameters A61N1/36585) · CPC title

• A61B5/6869

  Heart · CPC title

• A61B5/686

  Permanently implanted devices, e.g. pacemakers, other stimulators, biochips (A61B5/6861 takes precedence) · CPC title

• A61B5/11 Primary

  Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb {(A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721)} · CPC title

• A61M2230/04

  Heartbeat characteristics, e.g. ECG, blood pressure modulation · CPC title