Systems and methods for managing noise in implantable medical devices

Patent metadata

Field	Value
Publication number	US-9345890-B2
Application number	US-81587110-A
Country	US
Kind code	B2
Filing date	Jun 15, 2010
Priority date	Jun 15, 2009
Publication date	May 24, 2016
Grant date	May 24, 2016

Abstract

Embodiments of the invention are related to managing noise in sensed signals in implantable medical devices, amongst other things. In an embodiment the invention includes a method for processing electrical signals obtained from a patient including gathering a first set of electrical signals using an implantable medical device, filtering to provide a second set of electrical signals, the second set including frequencies above a threshold frequency, and estimating the amount of noise present in the first set of electrical signals based on the magnitude of the second set. In an embodiment, the invention includes a medical device configured to gather a first set of electrical signals, filter the first set to provide a second set of electrical signals including frequencies above a threshold frequency, and estimate the amount of noise present in the first set based on the magnitude of the second set. Other embodiments are also included herein.

First claim

What is claimed is:

1. A method for processing atrial electrical signals obtained from a patient comprising:
gathering a first set of atrial electrical signals within the patient using an implantable medical device during an atrial pacing threshold test, the first set of electrical signals comprising a set of samples of electrical activity from a discrete sample time window spanning a pacing event, wherein the sample time window starts in response to an electrical stimulation p acing pulse;
filtering the first set of atrial signals to provide a second set of electrical signals, the second set of electrical signals comprising frequencies above a cutoff frequency;
estimating the amount of noise present in the first set of atrial electrical signals based on the magnitude of the second set of electrical signals;
calculating a noise threshold value according to a capture detection threshold;
discarding the first set of atrial electrical signals if the estimated amount of noise exceeds the noise threshold value;
calculating an updated noise adjusted pace artifact threshold based on the estimated amount of noise if the noise does not exceed the noise threshold value;
comparing the updated noise adjusted pace artifact threshold to the noise threshold value; and
when the updated noise adjusted pace artifact threshold is less than the noise threshold value, classifying the electrical signal as loss of capture or fusion.

2. The method of claim 1 , wherein one or more of the initial filtered results making up the second set of electrical signals are not considered in estimating the amount of noise.

3. The method of claim 1 , further comprising identifying the first set of electrical signals as indicative of noise if the estimated amount of noise exceeds a threshold value.

4. The method of claim 3 , further comprising incrementing a noise counter if the first set of electrical signals is identified to be indicative of noise.

5. The method of claim 4 , further comprising terminating an automatic threshold testing procedure if the noise counter exceeds a predetermined value.

6. The method of claim 1 , wherein filtering the first set of signals is performed with a Chebyshev high pass filter at 68 Hz.

7. The method of claim 1 , the first set of electrical signals comprising a set of samples of atrial myocardial electrical activity taken over a 100 ms time window.

8. The method of claim 1 , wherein estimating the amount of noise present in the first set of electrical signals based on the magnitude of the second set of electrical signals comprises calculating a rectified average value for the magnitude of the second set of electrical signals.

9. A medical device comprising: a processor circuit; and
a memory circuit operatively connected to the processor circuit; the medical device configured to
gather a first set of electrical signals from a patient, the first set of electrical signals comprising a set of samples of electrical activity from a discrete sample time window spanning a pacing event, wherein the sample time window starts in response to an electrical stimulation pacing pulse;
filter the first set of electrical signals to provide a second set of electrical signals, the second set of electrical signals including frequencies above a cut off frequency;
estimate the amount of noise present in the first set of electrical signals based on the magnitude of the second set of electrical signals, wherein one or more of the initial filtered results making up the second set of electrical signals are excluded from the noise estimate;
calculate a noise threshold value according to a capture detection threshold;
discard the first set of electrical signals if the estimated amount of noise exceeds the noise threshold value;
calculate an updated noise adjusted pace artifact threshold based on the estimated amount of noise if the estimated amount of noise does not exceed the noise threshold value;
compare the updated noise adjusted pace artifact threshold to the noise threshold value; and
when the updated noise adjusted pace artifact threshold is less than the noise threshold value, classify the electrical signal as loss of capture or fusion.

10. The medical device of claim 9 , further configured to identify the first set of electrical signals as indicative of noise if the estimated amount of noise exceeds a threshold value.

11. The medical device of claim 10 , further configured to increment a noise counter if the first set of electrical signals is identified as indicative of noise.

12. The medical device of claim 11 , further configured to terminate an automatic threshold testing procedure if the noise counter exceeds a threshold value.

13. The medical device of claim 9 , further comprising a highpass Cheby shev filter at 68 Hz.

14. The medical device of claim 9 , the first set of electrical signals comprising a set of samples of atrial electrical activity taken over a 100 ms time window.

15. The medical device of claim 9 , the device further configured to estimate the amount of noise present in the first set of electrical signals based on the magnitude of the second set of electrical signals comprises calculating a rectified average value for the magnitude of the second set of electrical signals.

16. A method for processing electrical signals obtained from a patient comprising:
gathering a first set of electrical signals within the patient using an implantable medical device, the first set of electrical signals comprising a set of samples of electrical activity from a discrete sample time window spanning a p acing event, wherein the sample time window starts in response to an electrical stimulation pacing pulse;
filtering the first set of signals to provide a second set of electrical signals, the second set of electrical signals comprising frequencies above a cutoff frequency;
estimating the amount of noise present in the first set of electrical signals based on the magnitude of the second set of electrical signals;
calculating a noise threshold value according to a capture detection threshold;
discarding the first set of electrical signals if the estimated amount of noise exceeds a noise threshold value;
calculating a noise adjusted pace artifact threshold based on the estimated amount of noise if the noise does not exceed the noise threshold value;
comparing the updated noise adjusted pace artifact threshold to the noise threshold value; and
when the up dated noise adjusted pace artifact threshold is less than the noise threshold value, classifying the electrical signal as loss of capture or fusion;
wherein filtering the first set of signals is performed with a Chebyshev high pass filter.

17. The method of claim 16 , the first set of electrical signals comprising atrial evoked response samples.

Assignees

• Saha Sunipa
• Enrooth Eric K
• Boon Scot C
• Cardiac Pacemakers Inc

Inventors

• Saha Sunipa
• Enrooth Eric K
• Boon Scot C

Classifications

• G06F2218/04

  Denoising · CPC title

• A61B5/0432

  Human Necessities · mapped topic

• A61N1/3718

  Monitoring of or protection against external electromagnetic fields or currents · CPC title

• G06K9/0051

  Physics · mapped topic

• A61N1/371 Primary

  Capture, i.e. successful stimulation · CPC title