| CPC A61B 5/367 (2021.01) [A61B 5/287 (2021.01); A61B 5/339 (2021.01); A61B 5/7267 (2013.01)] | 25 Claims |
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1. A method for guiding therapy for a heart rhythm disorder comprising:
receiving a set of electrical signals of a human heart measured by a plurality of sensing electrodes on a catheter in contact with the human heart, wherein each sensing electrode of the plurality of sensing electrodes generates one electrical signal, and wherein the sensing electrodes are disposed in a known spatial configuration;
applying an activation detection model to identify one or more activations in each electrical signal that represent activation times for the heart rhythm disorder, wherein the activation detection model is a deep-learning neural network trained using a training set of electrical signals measured from one or more human hearts from one or more training subjects, the training set of electrical signals annotated with ground truth activations, wherein applying the activation detection model to each electrical signal of the set of electrical signals comprises:
applying the activation detection model trained as the deep-learning neural
network to convert each electrical signal of the set of electrical signals into an activation
likelihood timeseries, and
identifying one or more peaks in the activation likelihood timeseries above a threshold activation likelihood as the one or more activations in the electrical signal;
determining one or more beats of the heart rhythm disorder, wherein each
beat of the one or more beats is determined by:
determining a confidence that pairwise activations from neighboring sensing electrodes in the spatial configuration belong to one beat based on the spatial configuration of the sensing electrodes and tissue conduction velocity,
generating a graph comprising the pairwise activations and the confidences as nodes of the graph, and
clustering a subset of the pairwise activations across the set of electrical signals as one
beat by linking nodes of the graph with confidences above a threshold;
calculating a predominant direction of the heart rhythm disorder based on the one or more beats;
determining a guidance direction based on the predominant direction of the heart rhythm disorder, wherein the guidance direction directs the catheter towards a critical region of the heart rhythm disorder;
displaying a graphical user interface depicting a visual representation of the catheter and the guidance direction on an electronic display of a computing device operated by a healthcare provider; and
transmitting control instructions to the catheter, wherein the control instructions cause the catheter to deliver ablation energy at the critical region of the heart rhythm disorder.
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