US2012277611A1PendingUtilityA1
Distinguishing premature contractions in a medical device
Est. expiryApr 28, 2031(~4.8 yrs left)· nominal 20-yr term from priority
A61B 5/352
47
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Claims
Abstract
A method and device of distinguishing premature contractions that includes a sensor sensing cardiac signals, and a processor configured to determine a plurality of R-waves in response to the sensed cardiac signal, detect a premature contraction being associated with a first R-wave of the plurality of R-waves, determining a first area of the detected first R-wave, determine a second area of a second R-wave, determine a ratio of the first area and the second area, compare the ratio to a ratio threshold, and identify the detected premature contraction as one of a premature atrial contraction or a premature ventricular contraction in response to the comparing..
Claims
exact text as granted — not AI-modified1 . A method of distinguishing cardiac signals in a medical device, comprising:
sensing cardiac signals; determining a plurality of R-waves in response to the sensed cardiac signal; detecting a premature contraction being associated with a first R-wave of the plurality of R-waves; determining a first area of the detected first R-wave; determining a second area of a second R-wave; determining a ratio of the first area and the second area; comparing the ratio to a ratio threshold; and identifying the detected premature contraction as one of a premature atrial contraction or a premature ventricular contraction in response to the comparing.
2 . The method of claim 1 , further comprising at least one of generating an alert and storing the identifying of the detected premature contraction.
3 . The method of claim 1 , wherein the detected premature contraction is identified as a premature atrial contraction in response to the ratio not being greater than the ratio threshold and as a premature ventricular contraction in response to the ratio being greater than the ratio threshold.
4 . The method of claim 3 , wherein the ratio threshold corresponds to a percentage change of the ratio.
5 . The method of claim 1 , further comprising:
computing a morphology metric of an R-wave and a corresponding preceding morphology metric of an immediately preceding R-wave; comparing one of a difference and a ratio of the R-wave morphology metric and the preceding R-wave morphology metric to the detection threshold; detecting a premature ventricular contraction in response to the comparison meeting the detection threshold requirement; determining intervals between consecutive R-waves; detecting a premature coupling interval; and computing the R-wave morphology metric and the preceding R-wave morphology metric in response to detecting the premature coupling interval.
6 . The method of claim 1 , further comprising:
computing a morphology metric of an R-wave and a corresponding preceding morphology metric of an immediately preceding R-wave; comparing one of a difference and a ratio of the R-wave morphology metric and the preceding R-wave morphology metric to the detection threshold; and detecting a premature ventricular contraction in response to the comparison meeting the detection threshold requirement, wherein computing the morphology metric comprises: identifying a fiducial point along the R-wave; establishing a first time interval ending at the fiducial point; establishing a second time interval beginning at the fiducial point; and computing a first area over the first time interval and a second area over the second time interval.
7 . The method of claim 6 , wherein the first time interval has a first length and the second time interval has a second length different from the first length.
8 . The method of claim 7 , wherein the morphology metric is a sum of the first area and the second area.
9 . The method of claim 1 , further comprising computing a measurement of the sensed ventricular R-waves in response to detecting the premature ventricular contraction.
10 . The method of claim 9 , wherein computing a measurement of the sensed ventricular R-waves comprises computing a heart rate turbulence measurement.
11 . A medical device for distinguishing cardiac signals, comprising:
a sensor sensing cardiac signals; and a processor configured to determine a plurality of R-waves in response to the sensed cardiac signal, detect a premature contraction being associated with a first R-wave of the plurality of R-waves, determining a first area of the detected first R-wave, determine a second area of a second R-wave, determine a ratio of the first area and the second area, compare the ratio to a ratio threshold, and identify the detected premature contraction as one of a premature atrial contraction or a premature ventricular contraction in response to the comparing.
12 . The device of claim 11 , wherein the processor is further configured to at least one of generate an alert and store the identified detected premature contraction.
13 . The device of claim 11 , wherein the detected premature contraction is identified as a premature atrial contraction in response to the ratio not being greater than the ratio threshold and as a premature ventricular contraction in response to the ratio being greater than the ratio threshold.
14 . The device of claim 13 , wherein the ratio threshold corresponds to a percentage change of the ratio.
15 . The device of claim 11 , wherein the processor is further configured to compute a morphology metric of an R-wave and a corresponding preceding morphology metric of an immediately preceding R-wave, compare one of a difference and a ratio of the R-wave morphology metric and the preceding R-wave morphology metric to the detection threshold, detect a premature ventricular contraction in response to the comparison meeting the detection threshold requirement, determine intervals between consecutive R-waves, detect a premature coupling interval, and compute the R-wave morphology metric and the preceding R-wave morphology metric in response to detecting the premature coupling interval.
16 . The device of claim 11 , wherein the processor is further configured to compute a morphology metric of an R-wave and a corresponding preceding morphology metric of an immediately preceding R-wave, compare one of a difference and a ratio of the R-wave morphology metric and the preceding R-wave morphology metric to the detection threshold, and detect a premature ventricular contraction in response to the comparison meeting the detection threshold requirement, wherein computing the morphology metric comprises:
identifying a fiducial point along the R-wave; establishing a first time interval ending at the fiducial point; establishing a second time interval beginning at the fiducial point; and computing a first area over the first time interval and a second area over the second time interval.
17 . The device of claim 16 , wherein the first time interval has a first length and the second time interval has a second length different from the first length.
18 . The device of claim 17 , wherein the morphology metric is a sum of the first area and the second area.
19 . The device of claim 11 , wherein the processor is further configured to compute a measurement of the sensed ventricular R-waves in response to detecting the premature ventricular contraction.
20 . The device of claim 19 , wherein computing a measurement of the sensed ventricular R-waves comprises computing a heart rate turbulence measurement.
21 . A non-transitory computer readable medium storing instructions which cause a medical device to perform a method, the method comprising:
sensing cardiac signals; determining a plurality of R-waves in response to the sensed cardiac signal; detecting a premature contraction being associated with a first R-wave of the plurality of R-waves; determining a first area of the detected first R-wave; determining a second area of a second R-wave; determining a ratio of the first area and the second area; comparing the ratio to a ratio threshold; and identifying the detected premature contraction as one of a premature atrial contraction or a premature ventricular contraction in response to the comparing.Cited by (0)
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