Non-invasive intracardiac hyperexcitability point positioning method based on stack type auto-encoder

A self-encoder and point positioning technology, applied in the fields of sensors, medical science, diagnostic signal processing, etc., can solve the problems of low efficiency, time-consuming and laborious, unable to provide the specific location of tachycardia, etc. Precise results

Active Publication Date: 2017-08-04
ZHEJIANG UNIV
View PDF6 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the clinical diagnosis of ventricular tachycardia is mainly based on 12-lead electrocardiogram. However, this method can only make a preliminary diagnosis of VT, and cannot provide more detailed information such as the specific location of tachycardia.
On the other hand, in the ablation of VT, the surgeon also uses invasive means to directly measure the electrophysiological activity of the target location of the heart to locate the abnormal activation point of VT. However, the efficiency of invasive pacing mapping method is not high. Time-consuming and labor-intensive, but also has certain risks

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Non-invasive intracardiac hyperexcitability point positioning method based on stack type auto-encoder
  • Non-invasive intracardiac hyperexcitability point positioning method based on stack type auto-encoder
  • Non-invasive intracardiac hyperexcitability point positioning method based on stack type auto-encoder

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In order to describe the present invention more clearly, the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0040] Such as figure 1 As shown, the present invention is based on a stacked autoencoder-based non-invasive method for locating intracardiac abnormal activation points. The specific implementation includes the following steps:

[0041] (1) Collect 12-lead body surface potential data of patients with ventricular tachycardia, and record the three-dimensional coordinates of the corresponding mapping points.

[0042]Let the patient wear a body surface potential recording vest with 12 electrode leads to collect the patient's 12-lead body surface potential data; then, select the appropriate left ventricular endocardial position, and use the CARTO3 system for three-dimensional electroanatomical mapping , and record the 12-lead ECG signal of the corresponding positio...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a non-invasive intracardiac hyperexcitability point positioning method based on a stack type auto-encoder. The method mainly includes a training stage and a prediction stage. At the training stage, acquired QRS data serves as input, three-dimensional coordinates of corresponding mapping points of the QRS data serve as labels to train the auto-encoder, input data is preprocessed through the denoising auto-encoder, in the process of learning high-dimensional information, an upper layer of all variable factors is utilized, the result is more precise, and finally the stack type auto-encoder is established. At the prediction stage, an input data set x in a test set is input in a trained stack type model, and the final coordinate prediction result (x-y-z) is obtained on the output layer of the model. Position prediction of VT hyperexcitability points is achieved on the aspect of data drive, and the problems of time and labor waste of clinical catheter ablation is effectively solved.

Description

technical field [0001] The invention belongs to the technical field of cardiac electrophysiological analysis, and in particular relates to a method for locating non-invasive intracardiac abnormal excitation points based on a stacked autoencoder. Background technique [0002] Electrocardiography (Electrocardiography) has become a very important method for non-invasively revealing cardiac electrophysiological activities by recording the potential changes caused by the depolarization and repolarization process during the cardiac beating cycle on the body surface. If the heart is regarded as the source of the electric field, then the corresponding electric field is distributed in the space from the heart to the body surface, and the potentials at various positions can be recorded on the body surface. [0003] Ventricular tachycardia (VT) refers to the rapid arrhythmia that occurs in the bundle branches, myocardial conduction fibers, and ventricular myocardium below the His bundl...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0452
CPCA61B5/72A61B5/349
Inventor 刘华锋陈明强
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products