Rejecting oversensing due to noise

• US 9,364,162 B2
• Filed: 05/03/2010
• Issued: 06/14/2016
• Est. Priority Date: 02/11/2010
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Cao, Jian, Gillberg, Jeffrey M.
• Primary Examiner(s): LEVICKY, WILLIAM J
• Application Number:
  US12/772,578
• Publication Number:
  US 20110196247A1
• Time in Patent Office: 2,234 Days
• Field of Search: 600/509
• US Class Current: 1/1
• CPC Class Codes: A61B 5/363 Detecting tachycardia or bradycardia
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/7217 of noise originating from a therapeutic or surgical apparatus, e.g. from a pacemaker
• CPC Class Codes: A61N 1/3622 comprising two or more electrodes co-operating with different heart regions
• CPC Class Codes: A61N 1/37 Monitoring; Protecting
• CPC Class Codes: A61N 1/3718 Monitoring of or protection against external electromagnetic fields or currents

Abstract

In general, this disclosure is directed to signal processing based methods to reject oversensing due to electromagnetic interference or other noise without compromising tachyarrhythmia detection sensitivity. A method comprises sensing a signal indicative of cardiac activity, detecting a cardiac event based on the signal, determining a count of fluctuations of the signal within a window between the detected cardiac event and a next cardiac event, and determining whether noise is present in the signal based on the count.

Claims

1. A method comprising:

sensing a signal indicative of cardiac activity;

detecting a cardiac event based on the signal;

determining a count of fluctuations of the signal within a window between the detected cardiac event and a next cardiac event; and

determining whether noise is present in the signal based on the count,

wherein determining the count of fluctuations of the signal comprises;

monitoring a characteristic of the signal within the window between the detected cardiac event and the next cardiac event,

determining a threshold signal based on the monitored characteristic of the signal,

comparing values of the signal to values of the threshold signal, and

incrementing a counter that indicates the count of fluctuations based on the comparison.

2. The method of claim 1, wherein the window begins upon detection of the cardiac event.

3. The method of claim 1, wherein the window comprises a blanking period in response to the detected cardiac event.

4. The method of claim 1, wherein the window is less than or equal to approximately 120 milliseconds.

5. The method of claim 1, wherein the characteristic of the signal comprises a moving average.

6. The method of claim 5, wherein the threshold signal comprises approximately one half of the moving average.

7. The method of claim 1, wherein the signal comprises a filtered and rectified signal.

8. The method of claim 1,

further comprising detecting a plurality of cardiac events based on the cardiac signal,

wherein determining a count of fluctuations of the signal within a window comprises determining a respective count of fluctuations of the signal within each of a plurality of windows, each of the windows between a respective pair of the cardiac events, and

wherein determining whether noise is present comprises determining whether noise is present based on the plurality of counts.

9. The method of claim 8, wherein determining whether noise is present based on the plurality of counts comprises determining whether noise is present based on the plurality of counts and an interval between two of the plurality of detected events.

10. The method of claim 1, further comprising withholding at least one of tachyarrhythmia detection or tachyarrhythmia therapy in response to determining noise is present.

11. The method of claim 1, further comprising modifying a tachyarrhythmia detection count in response to determining noise is present.

12. The method of claim 1, further comprising applying a filter to the cardiac signal in response to determining noise is present.

13. The method of claim 1, further comprising providing an alert to a user subsequent to determining noise is present.

14. A system comprising:

a sensor that senses a signal indicative of cardiac activity;

a sensing module that detects a cardiac event based on the signal, wherein the sensing module is adapted to determine a count of fluctuations of the signal within a window between the detected cardiac event and a next cardiac event; and

a processor that determines whether noise is present in the signal based on the count,

wherein the sensing module;

monitors a characteristic of the signal within the window between the detected cardiac event and the next cardiac event;

determines a threshold signal based on the monitored characteristic of the signal;

compares values of the signal to values of the threshold signal; and

increments a counter indicating the count of fluctuations based on the comparison.

15. The system of claim 14, wherein the window begins upon the detection of the cardiac event by the sensing module.

16. The system of claim 14, wherein the window comprises a blanking period in response to the detected cardiac event.

17. The system of claim 14, wherein the window is less than or equal to approximately 120 milliseconds.

18. The system of claim 14, wherein the characteristic of the signal comprises a moving average.

19. The system of claim 14,

wherein the sensing module:

detects a plurality of cardiac events based on the cardiac signal; and

determines a respective count of fluctuations of the signal within each of a plurality of windows, each of the windows between a respective pair of the cardiac events, and

wherein the processor determines whether noise is present based on the plurality of counts.

20. The system of claim 19, wherein the processor determines whether noise is present based on the plurality of counts and an interval between two of the plurality of detected events.

21. The system of claim 14, wherein the sensor comprises a plurality of electrodes.

22. The system of claim 14, further comprising an implantable medical device that comprises the sensing module and at least one of comprises or is coupled to the sensor.

23. The system of claim 22, wherein the implantable medical device comprises the processor.

24. The system of claim 22, wherein the implantable medical device comprises at least one of a pacemaker, defibrillator, or cardioverter.

25. A system comprising:

means for sensing a signal indicative of cardiac activity;

means for detecting a cardiac event based on the signal;

means for determining a count of fluctuations of the signal within a window between the detected cardiac event and a next cardiac event; and

means for determining whether noise is present in the signal based on the count,

wherein the means for determining the count of fluctuations of the signal comprises;

means for monitoring a characteristic of the signal within the window between the detected cardiac event and the next cardiac event,

means for determining a threshold signal based on the monitored characteristic of the signal,

means for comparing values of the signal to values of the threshold signal, and

means for incrementing a counter that indicates the count of fluctuations based on the comparison.

26. A non-transitory computer readable medium comprising instructions, wherein the instructions cause a programmable processor to:

receive a signal indicative of cardiac activity;

detect a cardiac event based on the signal;

determine a count of fluctuations of the signal within a window between the detected cardiac event and a next cardiac event; and

determine whether noise is present in the signal based on the count,

wherein the instructions that cause the processor to determine the count of fluctuations of the signal comprise instructions that cause the processor to;

monitor a characteristic of the signal within the window between the detected cardiac event and the next cardiac event,

determine a threshold signal based on the monitored characteristic of the signal,

compare values of the signal to values of the threshold signal, and increment a counter that indicates the count of fluctuations based on the comparison.