Method capable of predicting arrhythmia radiofrequency ablation injury depth in real time and radiofrequency ablation instrument

Abstract

The invention belongs to the technical field of medical instruments, and particularly relates to a method capable of predicting arrhythmia radiofrequency ablation injury depth in real time and a radiofrequency ablation instrument. According to the method, a particle swarm optimization back propagation (PSO-BP) neural network is adopted to predict the ablation injury depth, and the quantitative relation between three radiofrequency ablation parameters including ablation time, electrode-tissue contact pressure (CF) and ablation power and the ablation injury depth is established through machine learning; the ablation depth index corresponding to the ablation injury depth is obtained from the three radiofrequency ablation parameters. And then the ablation depth index model is transplanted into a radiofrequency ablation instrument, a doctor is assisted to accurately control the ablation depth in the arrhythmia radiofrequency ablation implementation process, and the method has a clinical application prospect.

Description

technical field [0001] The invention belongs to the technical field of medical instruments, and in particular relates to a method capable of predicting the depth of arrhythmia radiofrequency ablation damage in real time and a radiofrequency ablation instrument. Background technique [0002] Arrhythmia is a common cardiovascular disease that seriously threatens human health. Radiofrequency ablation is an important treatment for many tachyarrhythmias, including atrial fibrillation. According to the online registration system of the National Health and Medical Commission, the number of arrhythmia catheter radiofrequency ablation surgeries in my country was 151,600 in 2018, with an annual growth rate of 13.2%-17.5% since 2010. Accurate control of ablation damage is an important problem to be solved during the implementation of radiofrequency ablation, because the ineffective damage caused by insufficient ablation is one of the important reasons for the recurrence of arrhythmia ...

AI Technical Summary

Problems solved by technology

Accurate control of ablation damage is an important problem to be solved during the implementation of radiofrequency ablation, because the ineffective damage caused by insufficient ablation is one of the important reasons for the recurrence of arrhythmia after surgery; excessive ablation may cause complications such as cardiac tamponade, In severe cases, it may be life-threatening

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