Methods and devices for determination of arrhythmia rate zone thresholds

• US 8,700,138 B2
• Filed: 08/21/2009
• Issued: 04/15/2014
• Est. Priority Date: 08/18/2006
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Cazares, Shelley M., Ricci, Carlos A., Kim, Jaeho
• Primary Examiner(s): Layno, Carl H
• Assistant Examiner(s): GHAND, JENNIFER LEIGH-STEWAR
• Application Number:
  US12/545,364
• Publication Number:
  US 20090312813A1
• Time in Patent Office: 1,698 Days
• Field of Search: 600/515, 607/4, 607/5, 607/9, 607/14
• US Class Current: 600/515
• CPC Class Codes: A61B 5/363 Detecting tachycardia or bradycardia
• CPC Class Codes: A61N 1/3925 Monitoring; Protecting
• CPC Class Codes: A61N 1/39622 Pacing therapy

Abstract

Approaches for determining threshold values for one or more arrhythmia rate zones and/or the number of rate zones are described. A probability function for heart rate is determined using collected and measured heart rate values. One or more heart rate probability values are selected. Thresholds for arrhythmia rate zones are determined from the probability function based on the selected probability values. Determining the rate zone thresholds may involve determining a threshold for a lower rate limit and/or determining one or more tachyarrhythmia rate zone thresholds. The number of rate zones may also be determined based on the probability function.

Claims

1. A method of delivering cardiac therapy, comprising:

measuring heart rate values;

determining a probability function for the measured heart rate values;

determining a number of heart rate zones based on the probability function, wherein the number of heart rate zones are periodically updated; and

delivering the cardiac therapy via a cardiac therapy device based on the rate zones.

2. The method of claim 1, wherein determining the number of rate zones comprises:

detecting one or more features of the probability function; and

determining the number of rate zones based on a number of the one or more features.

3. The method of claim 1, wherein:

the probability function comprises a cumulative distribution function; and

determining the number of rate zones comprises analyzing the cumulative distribution function to identify flat portions of the cumulative distribution function.

4. The method of claim 1, wherein:

the probability function comprises a probability density function; and

determining the number of rate zones comprises analyzing the probability density function to identify peaks of the probability density function.

5. The method of claim 1, further comprising determining one or more thresholds of the rate zones.

6. The method of claim 1, wherein the number of rate zones comprises only one rate zone before or after being updated.

7. The method of claim 1, wherein the number of rate zones comprises two or more rate zones.

8. The method of claim 1, wherein determining the number of rate zones comprises determining the number of rate zones fully automatically in the cardiac therapy device.

9. The method of claim 1, wherein the cardiac therapy device comprises an implantable cardiac therapy device.

10. The method of claim 1, wherein delivering the cardiac therapy via a cardiac therapy device comprises delivering multiple tachyarrhythmia therapies, each therapy associated with a particular rate zone.

11. A cardiac device, comprising:

sensing circuitry configured to sense cardiac electrical signals;

heart rate measurement circuitry coupled to the sensing circuitry and configured to measure heart rate values based on the sensed cardiac electrical signals; and

a rate zone processor configured to determine a number of rate zones based on a probability function for the measured heart rate values, wherein the number of heart rate zones are periodically updated.

12. The device of claim 11, wherein:

the probability function comprises a cumulative distribution function; and

the rate zone processor is configured to analyze the cumulative distribution function to identify flat portions of the cumulative distribution function and to determine the number of rate zones for tachyarrhythmia detection based on the identified flat portions of the cumulative distribution function.

13. The device of claim 11, wherein:

the probability function comprises a probability density function; and

the rate zone processor is configured to analyze the probability density function to identify peaks of the probability density function and to determine the number of rate zones for tachyarrhythmia detection based on the identified peaks of the probability density function.

14. The device of claim 11, further comprising a tachyarrhythmia detector configured to detect tachyarrhythmia by comparing a rate of the tachyarrhythmia to one or more of the rate zones.

15. The device of claim 11, further comprising a therapy circuit configured to deliver multiple tachyarrhythmia therapies, each therapy associated with a particular rate zone.

16. A cardiac therapy system, comprising:

sensing circuitry configured to sense cardiac electrical signals;

heart rate measurement circuitry coupled to the sensing circuitry and configured to measure heart rate values based on the sensed cardiac electrical signals; and

means for determining a number of heart rate zones based on a probability function for the measured heart rate values, wherein the number of heart rate zones are periodically updated.

17. The cardiac therapy system of claim 16, further comprising therapy circuitry for delivering multiple therapies, each therapy associated with a particular rate zone.

18. The cardiac therapy system of claim 16, wherein:

the probability function comprises a cumulative distribution function; and

further comprising a rate zone processor for determining the number of rate zones by analyzing the cumulative distribution function to identify flat portions of the cumulative distribution function.

19. The cardiac therapy system of claim 16, wherein:

the probability function comprises a probability density function; and

further comprising a rate zone processor for determining the number of rate zones by analyzing the probability density function to identify peaks of the probability density function.