Unlock instant, AI-driven research and patent intelligence for your innovation.

Method of identifying secondary degree atrioventricular block from 10-second electrocardiogram

A technology of atrioventricular block and electrocardiogram, applied in the medical field, can solve problems such as second-degree atrioventricular block and omission, and achieve the effect of excellent algorithm performance, good robustness, and interference prevention

Inactive Publication Date: 2019-06-11
苏州哈特数据科技有限公司
View PDF1 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the RR interval of many second-degree AV blocks with missed beats will be less than 1.9 times the average RR interval, such a method may have a large number of omissions; at the same time, due to sinus arrhythmia, premature atrial Premature contractions (PVC), noise interference, etc., many ECGs of non-second-degree atrioventricular block may also have RR intervals that are 1.9-2.1 times the average RR interval, so this method is likely to lead to a large number of false positive second-degree atrial block Ventricular block is detected

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
  • Method of identifying secondary degree atrioventricular block from 10-second electrocardiogram
  • Method of identifying secondary degree atrioventricular block from 10-second electrocardiogram
  • Method of identifying secondary degree atrioventricular block from 10-second electrocardiogram

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0034] Example.

[0035] A method of identifying second degree atrioventricular block from a 10-second electrocardiogram comprising the steps of:

[0036] (1) Preprocess the ECG signal and perform noise removal to filter out noise such as baseline drift and power frequency interference, and resample the denoised ECG signal to a fixed sampling rate;

[0037] (2) The method based on wavelet transform and logistic regression algorithm is used to extract the characteristic points of QRS wave in ECG. The specific method is as follows: combining various waveform features, using machine learning algorithm to automatically learn the weights of each feature from massive data,...

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 method for identifying secondary degree atrioventricular block from a 10-second electrocardiogram. The method comprises the following steps of: processing an original electrocardiosignal to extract secondary degree atrioventricular block characteristics; carrying out training by using a marked electrocardiogram database to judge whether each electrocardiogram signal is alogistic regression model od a secondary degree atrioventricular block; and solving the probability of each electrocardiogram signal being the secondary degree atrioventricular block by using the trained model. According to the method, the extracted characteristics are used for training the machine learning model, so that the secondary degree room atrioventricular block detection technology has better accuracy and robustness; when the characteristics are extracted, high-quality and non-PVC QRS waves are selected to calculate heart rate characteristics; and meanwhile, multiple P wave features are extracted, so that false positive secondary degree atrioventricular block detection caused by sinus arrhythmia, atrial or ventricular premature beat, noise interference and the like is effectivelyprevented.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a method for identifying second-degree atrioventricular block from a 10-second electrocardiogram. Background technique [0002] During the transmission of electrical excitation from the atrium to the ventricle, sometimes there will be some conduction terminals (that is, there is ventricular leakage), which is called second-degree atrioventricular block. Second-degree atrioventricular block is divided into second-degree type I (Wen's type) and second-degree type II (Mobitz type). The ECG of Wenkowski type shows that the PR interval gradually prolongs until the QRS complex falls off, and the ECG of Mobitz type shows that the PR interval is fixed, and one or several ventricular missed beats occur every one or several cardiac cycles. Second-degree atrioventricular block is clinically common and can have serious consequences. The more the number of ventricular missed beats, the slo...

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
IPC IPC(8): A61B5/0452A61B5/0456A61B5/352
Inventor 夏鹤年张雷刚何红时海西周星毕光涛陈元凤纪迎兵朱健鹿莉莉高勇
Owner 苏州哈特数据科技有限公司