Computational localization of fibrillation sources

One or more computing systems comprising:

• one or more computer-readable storage mediums that store computer-executable instructions for controlling the one or more computing systems to:
• access a patient representation of electrical activation of a patient's heart;
• access a library of stored representations of electrical activation of hearts that are each associated with a source location of an arrhythmia, the stored representations of electrical activation are derived from simulated electrical activations of computational models;
• identify from the library a stored representation of electrical activation based on similarity to the patient representation of electrical activation;
• and
• output an indication of the source location of the arrhythmia associated with the identified stored representation of electrical activation;
• wherein a first computational model includes one or more source locations and wherein the instructions further generate, based on that computational model, a second computational model with one or more of the source locations removed;
• and
• one or more processors for controlling the one or more computing systems to execute one or more of the computer-executable instructions.

A method comprising:

• under control of one or more computing systems:
• accessing a patient representation of electrical activation of the heart of a patient;
• identifying a source location of an arrhythmia of the patient based on the patient representation of electrical activation and based on a library of stored representations of electrical activation, the library having stored representations of electrical activation of hearts that are each associated with a source location of an arrhythmia, the stored representations of electrical activation are derived from simulated electrical activations of computational models, the computational models representing a plurality of cardiac geometries, electrophysiological characteristics, and source locations, the computational models being not specific to the patient;
• and
• displaying a graphical representation of a heart and an indication of the identified source location of the arrhythmia.

A method comprising:

• under control of one or more computing systems:
• accessing a patient representation of electrical activation of the heart of a patient;
• identifying a source location of an arrhythmia of the patient based on the patient representation of electrical activation and based on a library of stored representations of electrical activation, the library having stored representations of electrical activation of hearts that are each associated with a source location of an arrhythmia, the stored representations of electrical activation are derived from simulated electrical activations of computational models, wherein source locations are identified for multiple cycles of the patient representation of electrical activation;
• and
• displaying a graphical representation of a heart and an indication of the identified source location of the arrhythmia wherein the graphical representation further indicates, for one or more areas of the heart, a coding that is based on a percent of source locations that are within that area;
• and
• performing an ablation procedure on the patient targeting the source location of the arrhythmia.

A method comprising:

• under control of one or more computing systems:
• accessing a patient representation of electrical activation of the heart of a patient;
• identifying a source location of an arrhythmia of the patient based on the patient representation of electrical activation and based on a library of stored representations of electrical activation, the library having stored representations of electrical activation of hearts that are each associated with a source location of an arrhythmia, the stored representations of electrical activation are derived from simulated electrical activations of computational models, wherein the patient representation of electrical activation and the stored representations of electrical activation are an electrocardiogram or a vectorcardiogram;
• and
• displaying a graphical representation of a heart and an indication of the identified source location of the arrhythmia;
• and
• performing an ablation procedure on the patient targeting the source location of the arrhythmia.

A method comprising:

• under control of one or more computing systems:
• accessing a patient representation of electrical activation of the heart of a patient, wherein the patient representation of electrical activation is a patient electrocardiogram;
• converting the patient electrocardiogram to a patient vectorcardiogram;
• identifying a source location of an arrhythmia of the patient based on the patient representation of electrical activation and based on a library of stored representations of electrical activation, the stored representations of electrical activation are stored vectorcardiograms, the library having stored representations of electrical activation of hearts that are each associated with a source location of an arrhythmia, the stored representations of electrical activation are derived from simulated electrical activations of computational models;
• and
• displaying a graphical representation of a heart and an indication of the identified source location of the arrhythmia;
• and
• performing an ablation procedure on the patient targeting the source location of the arrhythmia.

A method comprising:

• under control of one or more computing systems:
• accessing a patient representation of electrical activation of the heart of a patient;
• identifying a source location of an arrhythmia of the patient based on the patient representation of electrical activation and based on a library of stored representations of electrical activation, the library having stored representations of electrical activation of hearts that are each associated with a source location of an arrhythmia, the stored representations of electrical activation are derived from simulated electrical activations of computational models, wherein the identifying includes applying a machine learning algorithm to identify a source location, the machine learning algorithm being trained using the stored representations of electrical activation and the associated source locations;
• and
• displaying a graphical representation of a heart and an indication of the identified source location of the arrhythmia;
• and
• performing an ablation procedure on the patient targeting the source location of the arrhythmia.

A method comprising:

• accessing an electrocardiogram of a patient;
• identifying a source location of an arrhythmia of the patient based on the electrocardiogram and based on a library of stored representations of electrical activation, the library having stored representations of electrical activation of hearts that are each associated with a source location of an arrhythmia, the stored representations of electrical activation are derived from simulated electrical activations of computational models, the computational models representing a plurality of cardiac geometries, electrophysiological characteristics, and source locations, the computational models being not specific to the patient;
• and
• displaying a graphical representation of a heart and an indication of the identified source location of the arrhythmia.

A method comprising:

• under control of one or more computing systems:
• accessing a patient representation of electrical activation of the heart of a patient;
• identifying a source location of an arrhythmia of the patient based on the patient representation of electrical activation and based on a library of stored representations of electrical activation, the library having stored representations of electrical activation of hearts that are each associated with a source location of an arrhythmia, wherein the stored representations of electrical activation are derived from simulated electrical activations of computational models, the computational models represent a plurality of cardiac geometries, electrophysiological characteristics, and source locations, and the computational models are not specific to the patient;
• displaying a graphical representation of a heart and an indication of the identified source location of the arrhythmia;
• and
• performing an ablation procedure on the patient targeting the source location of the arrhythmia.