METHOD OF PROVIDING VENTRICULAR ARRHYTHMIA LOCALIZATION WITH A HEART MODEL DERIVED FROM MACHINE LEARNING
Various embodiments include methods and computing systems for arrhythmia localization and display. A computing system may select a 3D heart electrical conduction model, including a 3D surface model, from a database of representative 3D heart models based on patient demographic information. The computing system may generate a patient-specific 3D localization of an arrhythmia based on the selected 3D electrical conduction model and ECG data, and generate a patient-specific cardiac activation map based the 3D electrical conduction model and ECG data. The computing system may then merge the patient-specific 3D localization of the arrhythmia and the 3D surface model to generate a 3D arrhythmia activation surface model, and display the patient-specific 3D localization of the arrhythmia and the patient-specific cardiac activation map for use in a medical procedure. Patent demographic information may be used to create or adjust a 3D heart model for inclusion in the database.
1 . A method of arrhythmia localization, comprising:
selecting a 3D heart electrical conduction model from a database of representative 3D heart models based on patient demographic information, the selected 3D heart electrical conduction model including a 3D surface model;
generating a patient-specific 3D localization of an arrhythmia based on the selected 3D electrical conduction model and electrocardiographic (ECG) data;
generating a patient-specific cardiac activation map based the 3D electrical conduction model and ECG data;
merging the patient-specific 3D localization of the arrhythmia and the 3D surface model to generate a 3D arrhythmia activation surface model; and
displaying the patient-specific 3D localization of the arrhythmia and the patient-specific cardiac activation map for use in a medical procedure.
2 . The method of claim 1 , wherein the patient demographic information includes one or more of the patient's gender, age, weight, height, body mass index, waist circumference, chest circumference, or underlying etiology.
3 . The method of claim 1 , further comprising generating a patient-specific 3D heart model from the selected 3D heart model by:
obtaining a 3D image of ECG electrodes on the patient's torso; and
merging the 3D image of the patient's torso with the selected 3D heart model.
4 . The method of claim 3 , wherein merging the patient-specific 3D localization of the arrhythmia and the 3D surface model to generate a 3D arrhythmia activation surface model comprises aligning locations of ECG electrodes used in generating patient-specific electrical conduction map of a patient's heart with the ECG electrodes within the 3D image.
5 . The method of claim 4 , wherein ECG data obtained with 12 ECG electrodes is combined with the patient specific 3D heart model using an inverse solution calculation to generate a localization point of the arrhythmia activation in a heartbeat.
6 . The method of claim 4 , wherein the arrhythmia is a ventricular arrhythmia
7 . The method of claim 6 , wherein the ventricular arrhythmia is a pre-ventricular contraction (PVC).
8 . The method of claim 6 , wherein the ventricular arrhythmia is a ventricular tachycardia.
9 . The method of claim 4 , further comprising using the patent's demographic information and the patient-specific 3D heart model to create a new 3D heart model for inclusion in the database of representative 3D heart models.
10 . The method of claim 4 , further comprising using the patent's demographic information and the patient-specific 3D heart model to adjusting a 3D heart model in the database of representative 3D heart models.
11 . A computing system, comprising:
a memory having stored thereon a database of representative three-dimensional (3D) heart models; and
a processor coupled to the memory and configured with processor-executable instructions to perform operations comprising:
selecting a 3D heart electrical conduction model from a database of representative 3D heart models based on patient demographic information, the selected 3D heart electrical conduction model including a 3D surface model,
generating a patient-specific 3D localization of an arrhythmia based on the selected 3D electrical conduction model and electrocardiographic (ECG) data;
generating a patient-specific cardiac activation map based the 3D electrical conduction model and ECG data;
merging the patient-specific 3D localization of the arrhythmia and the 3D surface model to generate a 3D arrhythmia activation surface model; and
displaying the patient-specific 3D localization of the arrhythmia and the patient-specific cardiac activation map for use in a medical procedure.
12 . The computing system of claim 11 , wherein the patient demographic information includes one or more of the patient's gender, age, weight, height, body mass index, waist circumference, chest circumference, or underlying etiology.
13 . The computing system of claim 11 , wherein the processor is configured with processor-executable instructions to perform operations further comprising generating a patient-specific 3D heart model from the selected 3D heart model by:
obtaining a 3D image of ECG electrodes on the patient's torso; and
merging the 3D image of the patient's torso with the selected 3D heart model.
14 . The computing system of claim 13 , wherein the processor is configured with processor-executable instructions to perform operations such that merging the patient-specific 3D localization of the arrhythmia and the 3D surface model to generate a 3D arrhythmia activation surface model comprises aligning locations of ECG electrodes used in generating patient-specific electrical conduction map of a patient's heart with the ECG electrodes within the 3D image.
15 . The computing system of claim 14 , wherein the processor is configured with processor-executable instructions to perform operations further comprising combining ECG data obtained with 12 ECG electrodes with the patient specific 3D heart model using an inverse solution calculation to generate a localization point of the arrhythmia activation in a heartbeat.
16 . The computing system of claim 14 , wherein the arrhythmia is a ventricular arrhythmia.
17 . The computing system of claim 16 , wherein the ventricular arrhythmia is a pre-ventricular contraction (PVC).
18 . The computing system of claim 16 , wherein the ventricular arrhythmia is a ventricular tachycardia.
19 . The computing system of claim 14 , wherein the processor is configured with processor-executable instructions to perform operations further comprising using the patent's demographic information and the patient-specific 3D heart model to create a new 3D heart model for inclusion in the database of representative 3D heart models.
20 . The computing system of claim 14 , wherein the processor is configured with processor-executable instructions to perform operations further comprising using the patent's demographic information and the patient-specific 3D heart model to adjusting a 3D heart model in the database of representative 3D heart models.