Granted Patent B2

US 12,589,248 · App. 18/444,625 · Granted Mar 31, 2026

Inventors: Gavin M. Mischler (Wilmette, IL); Yuanzhen Liu (Fremont, CA); Saul E. Greenhut (Denver, CO); Xusheng Zhang (Shoreview, MN)

Assignee: Medtronic, Inc.

A61N1/3621A61B5/352A61B5/363A61N1/365A61N1/3704A61N1/3706

Abstract

Claims (132)

1 . A medical device comprising:

a cardiac electrical signal sensing circuit configured to sense a plurality of cardiac electrical signals;

a control circuit configured to:

determine signal features from the plurality of cardiac electrical signals;

detect an alternating pattern of the signal features;

identify, based on the alternating pattern of the signal features, at least one segment of the plurality of cardiac electrical signals that is a suspected R-wave;

from the at least one segment identified as a suspected R-wave, determine at least one of:

a maximum signal pulse width; or

an amplitude metric;

based on at least one of the maximum signal pulse width or the amplitude metric, determine that the suspected R-wave is one of:

a tachyarrhythmia morphology; or

a true sensed R-wave;

detect a tachyarrhythmia in response to at least determining the suspected R-wave is the tachyarrhythmia morphology; and

withhold detecting the tachyarrhythmia in response to at least determining that the suspected R-wave is the true sensed R-wave; and

a therapy delivery circuit configured to deliver a tachyarrhythmia therapy in response to the control circuit detecting the tachyarrhythmia.

2 . The medical device of claim 1 wherein:

the sensing circuit is further configured to:

sense a first cardiac electrical signal of the plurality of cardiac electrical signals;

sense a second cardiac electrical signal of the plurality of cardiac electrical signals; and

sense cardiac event signals from the first cardiac electrical signal:

the control circuit is further configured to detect the alternating pattern of signal features from the second cardiac electrical signal.

3 . The medical device of claim 2 further comprising:

a memory configured to store segments of the second cardiac electrical signal, each stored segment corresponding in time to one of the sensed cardiac event signals; and

wherein the control circuit is further configured to detect the alternating pattern of signal features from the stored segments of the second cardiac electrical signal.

4 . The medical device of claim 3 wherein the control circuit is further configured to:

determine the signal features from a first group of three consecutively sensed segments of the stored segments;

detect one of a high-low-high pattern or a low-high-low pattern of the signal features of the first group of three consecutively sensed segments; and

identify the suspected R-wave based on the alternating pattern of signal features as at least one of the first group of the three consecutively sensed segments determined to be a high signal feature of the high-low-high or the low-high-low pattern.

5 . The medical device of claim 4 wherein the control circuit is further configured to:

determine the signal features from a plurality of groups of three consecutively sensed segments of the stored segments including the first group of three consecutively sensed segments;

for each of the plurality of groups of three consecutively sensed segments:

determine if the signal features are an alternating pattern; and

if the signal features are an alternating pattern, identify at least one segment of the three consecutively sensed segments that is a suspected R-wave;

determine that the suspected R-wave is one of:

a tachyarrhythmia morphology; or

a true sensed R-wave; and

increase a P-wave oversensing count when the signal features are an alternating pattern and the suspected R-wave is determined to be a true sensed R-wave and not the tachyarrhythmia morphology;

determine if the P-wave oversensing count meets a tachyarrhythmia rejection threshold; and

detect the tachyarrhythmia in response to at least determining the suspected R-wave is the tachyarrhythmia morphology by determining that the P-wave oversensing count does not meet the tachyarrhythmia rejection threshold; and

withhold detecting the tachyarrhythmia in response to at least determining that the suspected R-wave is the true sensed R-wave by determining that the P-wave oversensing count meets the tachyarrhythmia rejection threshold.

6 . The medical device of claim 5 wherein the control circuit is further configured to, for each of the plurality of groups of three consecutively sensed segments:

when the signal features are not determined to be an alternating pattern or the suspected R-wave is determined to be a tachyarrhythmia morphology, do not increase the P-wave oversensing count; and

advance to a next group of the plurality of groups of three consecutively sensed segments for determining if the signal features are an alternating pattern, wherein the groups of three consecutively sensed segments are overlapping groups of three consecutively sensed segments.

7 . The medical device of claim 2 wherein the control circuit is further configured to:

determine from the sensed cardiac event signals that a detection threshold number of tachyarrhythmia intervals is met;

detect the tachyarrhythmia in response to determining that the detection threshold number of tachyarrhythmia intervals is met and at least determining that the suspected R-wave is the tachyarrhythmia morphology; and

withhold detecting the tachyarrhythmia in response to determining that the detection threshold number of tachyarrhythmia intervals is met and at least determining that the suspected R-wave is the true sensed R-wave.

8 . The medical device of claim 2 wherein the control circuit is further configured to:

detect a first threshold number of tachyarrhythmia intervals from the sensed cardiac event signals; and

responsive to detecting the first threshold number of tachyarrhythmia intervals determine the signal features for detecting the alternating pattern of the signal features.

9 . The medical device of claim 1 wherein the control circuit is further configured to determine the signal features as peak to peak amplitudes.

10 . The medical device of claim 1 wherein the control circuit is further configured to determine the at least one of the maximum signal pulse width or the amplitude metric of the at least one segment identified as a suspected R-wave by:

determining the maximum signal pulse width by:

identifying a plurality of signal pulses of the segment;

determining a signal pulse width of each of the plurality of signal pulses; and

determining a maximum signal pulse width out of the determined signal pulse widths; or

determining the amplitude metric by:

determining a maximum amplitude of the segment;

determining a summation of a plurality of sample point amplitudes of the segment; and

dividing the summation by the maximum amplitude.

11 . A method comprising:

sensing a plurality of cardiac electrical signals;

determining signal features from the plurality of cardiac electrical signals;

detecting an alternating pattern of the signal features;

identifying, based on the alternating pattern of the signal features, at least one segment of the plurality of cardiac electrical signals that is a suspected R-wave;

from the at least one segment identified as a suspected R-wave, determining at least one of:

a maximum signal pulse width; or

an amplitude metric;

based on at least one of the maximum signal pulse width or the amplitude metric, determining that the suspected R-wave is one of:

a tachyarrhythmia morphology; or

a true sensed R-wave;

detecting a tachyarrhythmia in response to at least determining the suspected R-wave is the tachyarrhythmia morphology;

withholding detecting the tachyarrhythmia in response to at least determining that the suspected R-wave is the true sensed R-wave; and

delivering a tachyarrhythmia therapy in response to detecting the tachyarrhythmia.

12 . The method of claim 11 further comprising:

sensing a first cardiac electrical signal of the plurality of cardiac electrical signals;

sensing a second cardiac electrical signal of the plurality of cardiac electrical signals;

sensing cardiac event signals from the first cardiac electrical signal; and

detecting the alternating pattern of signal features from the second cardiac electrical signal.

13 . The method of claim 12 further comprising:

storing segments of the second cardiac electrical signal in a memory of a medical device, each stored segment corresponding in time to one of the sensed cardiac event signals; and

detecting the alternating pattern of signal features from the stored segments of the second cardiac electrical signal.

14 . The method of claim 13 further comprising:

determining the signal features from a first group of three consecutively sensed segments of the stored segments;

detecting one of a high-low-high pattern or a low-high-low pattern of the signal features of the first group of three consecutively sensed segments; and

identifying the at least on segment that is a suspected R-wave based on the alternating pattern of signal features as one of the first group of the three consecutively sensed segments that is determined to be a high signal feature of the high-low-high or the low-high-low pattern.

15 . The method of claim 14 further comprising:

determining the signal features from the plurality of groups of three consecutively sensed segments of the stored segments including the first group of three consecutively sensed segments;

for each of the plurality of groups of three consecutively sensed segments:

determining if the signal features are an alternating pattern; and

if the signal features are an alternating pattern, identifying at least one segment of the three consecutively sensed segments that is a suspected R-wave;

determining that the suspected R-wave is one of:

a tachyarrhythmia morphology; or

a true sensed R-wave; and

increasing a P-wave oversensing count when the signal features are an alternating pattern and the suspected R-wave is a true sensed R-wave and not a tachyarrhythmia morphology;

determine if the P-wave oversensing count meets a tachyarrhythmia rejection threshold; and

detect the tachyarrhythmia in response to at least determining the suspected R-wave is the tachyarrhythmia morphology by determining that the P-wave oversensing count does not meet the tachyarrhythmia rejection threshold; and

withhold detecting the tachyarrhythmia in response to at least determining that the suspected R-wave is the true sensed R-wave by determining that the P-wave oversensing count meets the tachyarrhythmia rejection threshold.

16 . The method of claim 15 further comprising, for each of the plurality of groups of three consecutively sensed segments:

when the signal features are not determined to be an alternating pattern or the suspected R-wave is determined to be a tachyarrhythmia morphology, not increasing the P-wave oversensing count; and

advancing to a next group of the plurality of groups of three consecutively sensed segments for determining if the signal features are an alternating pattern wherein the plurality of groups of three consecutively sensed segments are overlapping groups of three consecutively sensed segments.

17 . The method of claim 12 further comprising:

determining from the sensed cardiac event signals that a detection threshold number of tachyarrhythmia intervals is met;

detecting the tachyarrhythmia in response to determining that the detection threshold number of tachyarrhythmia intervals is met and at least determining that the suspected R-wave is the tachyarrhythmia morphology; and

withholding detecting the tachyarrhythmia in response to determining that the detection threshold number of tachyarrhythmia intervals is met and at least determining that the suspected R-wave is the true sensed R-wave.

18 . The method of claim 12 further comprising:

detecting a first threshold number of tachyarrhythmia intervals from the sensed cardiac event signals; and

responsive to detecting the first threshold number of tachyarrhythmia intervals determining the signal features for detecting the alternating pattern of the signal features.

19 . The method of claim 11 further comprising determining the signal features as peak to peak amplitudes.

20 . The method of claim 11 further comprising determining the at least one of the maximum signal pulse width or the amplitude metric of the at least one segment identified as a suspected R-wave by:

determining the maximum signal pulse width by:

identifying a plurality of signal pulses of the segment;

determining a signal pulse width of each of the plurality of signal pulses; and

determining a maximum signal pulse width out of the determined signal pulse widths; or

determining the amplitude metric by:

determining a maximum amplitude of the segment;

determining a summation of a plurality of sample point amplitudes of the segment; and

dividing the summation by the maximum amplitude.

21 . A non-transitory computer-readable medium storing a set of instructions which, when executed by a control circuit of a medical device, cause the medical device to:

sense a plurality of cardiac electrical signals;

determine signal features from the plurality of cardiac electrical signals;

detect an alternating pattern of the signal features;

identify, based on the alternating pattern of the signal features, at least one segment of the plurality of cardiac electrical signals that is a suspected R-wave;

from the at least one segment identified as a suspected R-wave, determine at least one of:

a maximum signal pulse width; or

an amplitude metric;

based on at least one of the maximum signal pulse width or the amplitude metric, determine that the suspected R-wave is one of:

a tachyarrhythmia morphology; or

a true sensed R-wave;

detect a tachyarrhythmia in response to at least determining the suspected R-wave is the tachyarrhythmia morphology;

withhold detecting the tachyarrhythmia in response to at least determining that the suspected R-wave is the true sense R-wave; and

deliver a tachyarrhythmia therapy in response to detecting the tachyarrhythmia.

Assignments (1)

Continuity (3)

References Cited (86)