Method and apparatus for automatic arrhythmia classification with confidence estimation
AssigneeCardiac Pacemakers, Inc.
InventorsDeepa Mahajan, Christopher Pulliam, Yanting Dong, David L. Perschbacher
Life of this patent
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Abstract
An arrhythmia classification system receives cardiac data from an implantable medical device, performs automatic adjudication of each cardiac arrhythmia episode indicated by the cardiac data, and generates episode data representative of information associated with the episode. The episode data include at least an episode classification resulting from the automatic adjudication of the episode and a confidence level in the episode classification. In one embodiment, the episode data further include key features rationalizing the automatic adjudication of the episode.
Claims18
A system configured to be communicatively coupled to an implantable medical device sensing one or more cardiac signals indicative of one or more arrhythmia episodes and produce cardiac data representative of the one or more cardiac signals, the system comprising:
- an arrhythmia analysis circuit configured to receive cardiac data transmitted from the implantable medical device, perform automatic adjudication of each episode of one or more arrhythmia episodes using the cardiac data by executing a plurality of adjudication algorithms to produce voting classifications for each episode, determining a voting classification of the voting classifications for each episode by executing an adjudication algorithm of the plurality of adjudications algorithms, determining an episode classification for each episode using one or more primary voting classifications selected from the voting classifications and a confidence level in the episode classification based on the voting classifications for each episode, and generate episode data representative of information associated with each episode including the episode classification and the confidence level in the episode classification;
- a memory circuit configured to store data including the cardiac data and the episode data;
- and
- a user interface including a presentation device configured to present the information associated with each episode.
A system configured to be communicatively coupled to an implantable medical device sensing one or more cardiac signals indicative of one or more arrhythmia episodes and produce cardiac data representative of the one or more cardiac signals, the system comprising:
- an arrhythmia analysis circuit configured to receive cardiac data transmitted from the implantable medical device, perform automatic adjudication of each episode of one or more arrhythmia episodes using the cardiac data, and generate episode data representative of information associated with each episode including an episode classification resulting from the automatic adjudication of each episode, a confidence level in the episode classification, and episode features including key features rationalizing the automatic adjudication of each episode;
- a memory circuit configured to store data including the cardiac data and the episode data;
- and a user interface including a presentation device configured to present the information associated with each episode,
- wherein the arrhythmia analysis circuit is configured to determine the episode classification for each episode and the confidence level in the episode classification using the cardiac data by executing a plurality of adjudication algorithms.
A method for classifying cardiac arrhythmias, the method comprising:
- receiving cardiac data representative of the one or more cardiac signals sensed by an implantable medical device, the one or more cardiac signals indicative of one or more arrhythmia episodes;
- performing automatic adjudication of each episode of one or more arrhythmia episodes using the cardiac data, including executing a plurality of adjudication algorithms to produce voting classifications for each episode and determining an episode classification for each episode and a confidence level in the episode classification based on the voting classifications for each episode;
- generating episode data representative of information associated with each episode including the episode classification, the confidence level in the episode classification and episode features including key features rationalizing the automatic adjudication of each episode;
- storing the cardiac data and the episode data in a memory device;
- and
- presenting the information associated with each episode.
Dependencies are inferred from the claim text.