Morphology based arrhythmia detection
First Claim
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1. A method, comprising:
- sensing a cardiac electrogram (EGM) signal, comprising cardiac depolarization signals, along a plurality of sensing vectors;
sampling the EGM signal over a processing window having a predetermined time duration;
determining a plurality of morphology metrics and associated weighting factors from the sampled EGM signal, a morphology metric of the plurality of morphology metrics having a first weighting factor associating a first sensing vector of the plurality of sensing vectors and a second weighting factor, different from the first weighting factor, associated with a second sensing vector of the plurality of sensing vectors different from the first sensing vector;
updating a value of a rhythm counter based on the associated weighting factors; and
classifying a heart rhythm in response to the updated value of the rhythm counter, the heart rhythm being detected without determining intervals between the cardiac depolarization signals.
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Abstract
A medical device system and associated method sample an EGM signal over a processing window having a predetermined time duration. A number of morphology metrics are determined from the sampled EGM signal, and a heart rhythm is detected in response to the morphology metrics without determining depolarization intervals. The morphology metrics include metrics determined from a slope signal derived from the EGM signal in one embodiment.
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Citations
23 Claims
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1. A method, comprising:
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sensing a cardiac electrogram (EGM) signal, comprising cardiac depolarization signals, along a plurality of sensing vectors; sampling the EGM signal over a processing window having a predetermined time duration; determining a plurality of morphology metrics and associated weighting factors from the sampled EGM signal, a morphology metric of the plurality of morphology metrics having a first weighting factor associating a first sensing vector of the plurality of sensing vectors and a second weighting factor, different from the first weighting factor, associated with a second sensing vector of the plurality of sensing vectors different from the first sensing vector; updating a value of a rhythm counter based on the associated weighting factors; and classifying a heart rhythm in response to the updated value of the rhythm counter, the heart rhythm being detected without determining intervals between the cardiac depolarization signals. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A non-transitory computer-readable medium having computer-executable instructions for performing a method comprising:
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sensing a cardiac electrogram (EGM) signal, comprising cardiac depolarization signals, along a plurality of sensing vectors; sampling an EGM signal over a processing window having a predetermined time duration; determining a plurality of morphology metrics and associated weighting factors from the sampled EGM signal, a morphology metric of the plurality of morphology metrics having a first weighting factor associating a first sensing vector of the plurality of sensing vectors and a second weighting factor, different from the first weighting factor, associated with a second sensing vector of the plurality of sensing vectors different from the first sensing vector; updating a value of a rhythm counter based on the associated weighting factors; and classifying a heart rhythm in response to a value of the updated rhythm counter, the heart rhythm being detected without determining intervals between the cardiac depolarization signals. - View Dependent Claims (11, 12, 13, 14)
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15. A medical device, comprising:
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a plurality of electrodes sensing an EGM signal, comprising cardiac depolarization signals, along a plurality of sensing vectors; an analog-to-digital convertor for sampling the EGM signal over a processing window having a predetermined time duration; a digital signal processor for determining a plurality of morphology metrics from the sampled EGM signal; and a rhythm detection module configured to classify a heart rhythm in response to the morphology metrics, wherein each of the plurality of morphology metrics is associated with a weighting factor, a morphology metric of the plurality of morphology metrics having a first weighting factor associating a first sensing vector of the plurality of sensing vectors and a second weighting factor, different from the first weighting factor, associated with a second sensing vector of the plurality of sensing vectors different from the first sensing vector, wherein a rhythm counter is updated based on the weighting factor, and wherein the heart rhythm classification is based on the weighting factor. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23)
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Specification