SYSTEMS AND METHODS FOR DETECTING OR VALIDATING SIGNALS IN THE PRESENCE OF NOISE

• US 20070135722A1
• Filed: 01/22/2007
• Published: 06/14/2007
• Est. Priority Date: 08/06/2002
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Lin, Yayun
• Granted Patent: US 8,078,272 B2
• Time in Patent Office: Days
• US Class Current: 600/509
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/361 Detecting fibrillation
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61N 1/3704 Circuits specially adapted therefor, e.g. for sensitivity control
• CPC Class Codes: A61N 1/3718 Monitoring of or protection against external electromagnetic fields or currents

Abstract

Detecting or validating signals such as cardiac beats can be performed in the presence of myopotential or other noise. An amplitude peak, which can be a candidate for a detected beat, can be used in a normalized or other weighted average, along with a preceding and subsequent sample. The weighted average is compared to a noise threshold. Based on the result, the amplitude peak is either deemed an actual beat (e.g., depolarization or repolarization), or noise. The described systems, devices, and methods can improve the accuracy of detecting an actual beat in the presence of noise, during normal sinus rhythm or during an arrhythmia such as ventricular fibrillation. This, in turn, improves the accuracy with which therapy is delivered or withheld by an implantable device.

Claims

1. A system comprising:

a signal detector, comprising a detector input configured to be coupled to a first electrode associated with a heart, and comprising a detector output providing a sampled signal; and

a signal processor circuit, coupled to the detector output, the signal processor circuit configured to distinguish, using a peak sample, a preceding sample to the peak sample, and a subsequent sample to the peak sample, a signal depolarization or repolarization from noise, and in which the signal processor circuit is configured to form an central tendency statistic computed using as data points an amplitude of the peak sample from a baseline, an amplitude of the preceding sample from the same baseline, and an amplitude of the subsequent sample from the same baseline, and to distinguish a signal depolarization or repolarization from noise by comparing the statistic to a specified threshold value.

2. The system of claim 1, in which the signal processor circuit is configured to compute a weighted average using the peak sample, the preceding sample, and the subsequent sample, and to distinguish a signal depolarization or repolarization from noise by comparing the weighted average to a specified threshold value.

3. The system of claim 2, in which the signal processor circuit is configured to compute a normalized weighted average using the peak sample, the preceding sample, and the subsequent sample, and to distinguish a signal depolarization or repolarization from noise by comparing the normalized weighted average to a specified threshold value.

4. The system of claim 3, in which the normalized weighted average is computed as NWA =[P(n−

1)+2*P(n)+P(n+1)]/[4*P(n)].

5. The system of claim 1, further comprising an electrode coupled to the detector input.

6. The system of claim 5, further comprising an intracardiac leadwire carrying the electrode.

7. The system of claim 1, further comprising:

an implantable device including the signal detector and the signal processing circuit; and

a remote user interface, configured to be communicatively coupled to the implantable device.

8. The system of claim 1, in which the signal processor circuit is configured to distinguish a normal sinus rhythm depolarization or repolarization from noise.

9. The system of claim 1, in which the signal processor circuit is configured to distinguish an arrhythmic depolarization or repolarization from noise.

10. The system of claim 9, in which the signal processor circuit is configured to distinguish a ventricular fibrillation depolarization or repolarization from noise.

11. An implantable cardiac rhythm management device comprising:

a signal detector, comprising a signal detector input configured to be coupled to a first electrode associated with a heart to receive an intrinsic signal therefrom, and comprising a signal detector output providing a sampled signal; and

a depolarization or repolarization detector circuit, coupled to the first electrode, the depolarization or repolarization detector circuit including a level detector circuit configured to detect an intrinsic depolarization or repolarization on the intrinsic signal; and

a signal processor circuit, coupled to the signal detector output and the depolarization or repolarization detector circuit, the signal processor circuit configured to validate the intrinsic depolarization or repolarization detected by the depolarization or repolarization detector circuit by distinguishing a depolarization or repolarization from noise, using a central tendency statistic computed using as data points an amplitude, from a baseline, of a peak sample of the sampled signal, an amplitude, from the same baseline, of a preceding sample to the peak sample of the sampled signal, and an amplitude, from the same baseline, of a subsequent sample to the peak sample of the sampled signal, wherein the peak sample of the sampled signal is associated with a peak of the intrinsic depolarization or repolarization detected by the depolarization or repolarization detector circuit.

12. The device of claim 11, in which the signal processor circuit is configured to compute a weighted average using the peak sample, the preceding sample, and the subsequent sample, and to distinguish a depolarization or repolarization from noise by comparing the weighted average to a specified threshold value.

13. The system of claim 12, in which the weighted average is computed as NWA=[P(n−

1)+2*P(n)+P(n+1)]/[4*P(n)].

14. The system of claim 11, in which the signal processor circuit is configured to distinguish a normal sinus rhythm depolarization or repolarization from noise.

15. The system of claim 11, in which the signal processor circuit is configured to distinguish an arrhythmic depolarization or repolarization from noise.

16. The system of claim 11, in which the signal processor circuit is configured to distinguish a ventricular fibrillation from noise.

17. A method comprising:

sampling a physiological signal;

detecting a peak sample from the signal;

detecting a preceding sample to the peak sample from the signal;

detecting a subsequent sample to the peak sample from the signal;

distinguishing, using the peak sample, the preceding sample, and the subsequent sample, a depolarization or repolarization from noise, in which the distinguishing comprises;

computing a central tendency statistic, the statistic computed using as data points an amplitude of the peak sample from a baseline, an amplitude of the preceding sample from the same baseline, and an amplitude of the subsequent sample from the same baseline; and

distinguishing a depolarization or repolarization from noise by comparing the statistic to a specified threshold value.

18. The method of claim 17, in which the computing comprises:

computing a weighted average using the peak sample, the preceding sample, and the subsequent sample; and

distinguishing a depolarization or repolarization from noise by comparing the weighted average to a specified threshold value.

19. The method of claim 18, in which the computing comprises:

computing a normalized weighted average using the peak sample, the preceding sample, and the subsequent sample; and

distinguishing a cardiac depolarization or repolarization from noise by comparing the normalized weighted average to a specified threshold value.

20. The method of claim 19, in which the computing the normalized weighted average is computed as NWA =[P(n−

1)+2*P(n)+P(n+1)]/[4*P(n)].

21. The method of claim 17, further comprising communicating an indication of whether a peak sample is a depolarization or repolarization or noise to a remote location.

22. The method of claim 17, in which the distinguishing a depolarization or repolarization from noise comprises distinguishing a normal sinus rhythm depolarization or repolarization from noise.

23. The method of claim 17, in which the distinguishing a depolarization or repolarization from noise comprises distinguishing an arrhythmic depolarization or repolarization from noise.

24. The method of claim 17, in which the distinguishing a depolarization or repolarization from noise comprises distinguishing a ventricular fibrillation depolarization or repolarization from noise.

25. A method comprising:

detecting an intrinsic physiologic signal;

detecting a depolarization or repolarization on the intrinsic signal by comparing a level of the intrinsic signal to a level threshold value to yield a level-detected depolarization or repolarization;

sampling the intrinsic signal to produce a sampled signal;

detecting a peak sample from the sampled signal, wherein the peak sample is associated with the level-detected depolarization or repolarization;

detecting a preceding sample to the peak sample from the sampled signal;

detecting a subsequent sample to the peak sample from the sampled signal; and

validating, using the peak sample, the preceding sample, and the subsequent sample, the level-detected depolarization or repolarization by computing a weighted average using the peak sample, the preceding sample, and the subsequent sample, and comparing the weighted average to a noise threshold.

26. The method of claim 25, in which the computing the weighted average is computed as NWA =[P(n−

1)+2*P(n)+P(n+1)]/[4*P(n)].

27. The method of claim 25, in which the validating comprises validating a normal sinus rhythm depolarization or repolarization.

28. The method of claim 25, in which the validating comprises validating an arrhythmic depolarization or repolarization from noise.

29. The method of claim 25, in which the validating comprises validating a ventricular fibrillation from noise.

30. A system comprising:

a physiologic signal detector, comprising a detector input configured to be coupled to a first electrode associated with a heart, and comprising a detector output providing a sampled signal; and

a signal processor circuit, coupled to the detector output, the signal processor circuit configured to distinguish a depolarization or repolarization from noise, the distinguishing using an amplitude of a peak sample from a baseline, an amplitude, from the same baseline, of a preceding sample to the peak sample, and an amplitude, from the same baseline, of a subsequent sample to the peak sample, and in which the signal processor circuit is configured to form an average of each of the amplitudes of the peak sample, the preceding sample, and the subsequent sample, and to distinguish a depolarization or repolarization from noise by comparing the average to a specified threshold value.