FIELD: medicine.
SUBSTANCE: group of inventions relates to medicine, namely to a system and a method for guided heart ablation. The system contains an interface, a processor. The interface is made for reception of data characterizing the initial ablation operation applied to the patient’s heart area. The processor is made for automatic setting, based on received data, of an additional ablation operation for application to this area by using a trained machine learning (hereinafter – ML) model. At the same time, the ML model is based on a random forest of regression trees based on ablation training data and on deep learning autoencoders mapping an ECG signal. In another option, the ML model is trained using a LAT map or bipolar maps. When implementing the method, data characterizing the initial ablation operation are received. At the same time, based on received data, the processor automatically sets an additional ablation operation to be applied to this area by using a trained machine learning model.
EFFECT: due to the combined use of machine learning methods such as autoencoders and a random forest of regression trees, a reduction in the amount of data, which a predictor must process, is achieved, while increasing the accuracy of the predictor due to elimination of retraining, thereby increasing the efficiency of the model, that is, heart ablation is controlled with higher prediction accuracy due to reduction in the dimensionality of input data, while a system for control of heart ablation can more effectively determine, whether further ablation is required, to avoid repeated surgery, which improves the efficiency and results of ablation; due to training of the model using a LAT map or bipolar maps, a logical output is generated by a machine learning-based system, which provides a more accurate ablation profile, while the system for control of heart ablation, due to training based on limited data, can more effectively determine, whether further ablation is required, to avoid repeated surgery, which also improves efficiency and results of ablation.
19 cl, 4 dwg
