Ventricular tachycardia exit site identification method and apparatus

Abstract

Abstract To non-invasively identify a ventricular tachycardia exit site in a heart of a particular patient (107) using electrocardiogram signals and medical imagery for the particular patient, a control circuit (101) can be configured to access (205) a neural network (104) that has been trained (202) using a plurality of synthetic data examples (203) and to input information regarding the electrocardiogram signals and the aforementioned medical imagery for the particular patient to the neural network. The control circuit can then output from the neural network information that identifies a predicted ventricular tachycardia exit site in the heart of the particular patient. Abstract 20 26 20 14 22 25 F eb 2 02 6 A b s t r a c t 2 0 2 6 2 0 1 4 2 2 2 5 F e b 2 0 2 6 2 / 3 200 BY A CONTROL CIRCUIT GENERATE SYNTHETIC DATA EXAMPLES 201 SYNTHETIC TRAIN A DATA NEURAL DATA EXAMPLES ACCESS A NEURAL NETWORK THAT HAS BEEN TRAINED 205 INPUT INFORMATION REGARDING ELECTROCARDIOGRAM SIGNALS AND MEDICAL IMAGERY FOR A PARTICULAR 206 PATIENT TO THE NEURAL NETWORK OUTPUT FROM THE NEURAL NETWORK INFORMATION THAT IDENTIFIES A PREDICTED VENTRICULAR TACHYCARDIA 207EXIT SITE IN THE HEART OF THE PARTICULAR PATIENT FIG. 2 20 26 20 14 22 25 F eb 2 02 6 2 / 3 2 0 2 6 2 0 1 4 2 2 2 5 F e b 2 0 2 6 S Y N T H E T I C 2 0 3 T R A I N A 2 0 2 N O N - S Y N T H E T I C D A T A 2 0 5 A C C E S S A N E U R A L N E T W O R K T H A T H A S B E E N T R A I N E D 2 0 5 I N P U T I N F O R M A T I O N R E G A R D I N G E L E C T R O C A R D I O G R A M 2 0 6 O U T P U T F R O M T H E N E U R A L N E T W O R K I N F O R M A T I O N T H A T 2 0 7 F I G . 2