US 2026/0310862 A1 · DETERMINING REPOLARIZATION WAVES USING A SIMULATED HEART MODEL

Abstract

An example method may use simulated data a virtual heart model to measure characteristics including cell potential and determine repolarization timing, while collecting accurate, simulated intracardiac signals. The determined characteristics (e.g., repolarization timing) may be annotated for reference. The collected signals combined with the annotated timing may be used to train an AI model. The AI model may be configured to determine characteristics such as repolarization timing based on input of one or more intracardiac signal(s). The AI model may be tested by inputting a dataset comprising intracardiac signals from other heart models and receiving a predicted ARP from the AI model. The predicted ARP may be compared with known ARPs to determine an accuracy of the AI model. The other heart models may be associated with heart conditions and/or complications, such as tachycardias.

Claims20

Dependent claims

A method for determining one or more predicted action potential characteristics of a heart of a patient, the method comprising:

determining first data indicative of one or more of unipolar intracardiac signals of a first heart, a bipolar intracardiac signals of a first heart, or multipolar intracardiac signals of a first heart;
determining second data indicative of one or more action potential (AP) signals of the first heart comprising at least an action recovery period (ARP);
training an artificial intelligence (AI) model based on the first data and the second data, wherein the AI model is configured to determine a predicted ARP based on one or more of unipolar intracardiac signals of the first heart, a bipolar intracardiac signals of the first heart, or multipolar intracardiac signals of the first heart;
receiving third data indicative of one or more of unipolar intracardiac signals of the heart of the patient, a bipolar intracardiac signals of the heart of the patient, or multipolar intracardiac signals of the heart of the patient;
and
determine, by the AI model and based on the third data, a predicted ARP of the heart of the patient.

3 more elements

Dependencies are inferred from the claim text.

Determining repolarization waves using a simulated heart model

Life of this patent

Determining repolarization waves using a simulated heart model

Life of this patent

Abstract

Claims20