Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Ventricular premature beat heartbeat positioning method and device based on improved convolutional neural network

A convolutional neural network, ventricular premature beat technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of complex diagnostic methods, low accuracy, and inability to obtain the start time of ventricular premature beats.

Inactive Publication Date: 2019-07-23
SHANGHAI SID MEDICAL CO LTD
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The diagnostic accuracy of this type of method is not only related to the heartbeat diagnostic algorithm, but also affected by the R wave detection algorithm, which leads to many disadvantages such as complex diagnostic methods and low accuracy.
[0004] Chinese patent document CN108511055A discloses a system and method for identifying premature ventricular beats based on classifier fusion and diagnostic rules. Two classifiers, convolutional neural network and recursive neural network, are used to identify premature ventricular beats. However, this The application cannot avoid the impact of R wave detection on the recognition accuracy of premature ventricular contractions, and the technical solution of the application cannot obtain the start time of premature ventricular contractions

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
  • Ventricular premature beat heartbeat positioning method and device based on improved convolutional neural network
  • Ventricular premature beat heartbeat positioning method and device based on improved convolutional neural network
  • Ventricular premature beat heartbeat positioning method and device based on improved convolutional neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0032] This embodiment provides a method for locating premature ventricular beats based on an improved convolutional neural network, such as figure 1 shown, including the following steps:

[0033]S1: Obtain the ECG signal, and preprocess the ECG data. The upper and lower cut-off frequencies are respectively 0.1Hz and 100Hz for filtering the ECG data. If the sampling frequency of the ECG signal is not 500Hz, the best The proximity interpolation method resamples the ECG signal to 500Hz;

[0034] S2: Use a sliding window with a step size of 0.015-0.025s and a length of 0.4-0.8s to intercept the ECG signal to form an interception segment. The length is preferably 0.6s, and 0.4-0.8s just corresponds to the length of a heartbeat cycle. Set the step size to 0.015 -0.025s can effectively avoid the influence of the R wave, meet the clinical accuracy and help reduce the amount of calculation, the intercepted section starts from the beginning or end of the ECG signal;

[0035] S3: Impo...

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

PropertyMeasurementUnit
Step sizeaaaaaaaaaa
Step sizeaaaaaaaaaa
Login to View More

Abstract

The invention relates to a ventricular premature beat heartbeat positioning method and device based on an improved convolutional neural network. An obtained electrocardiogram signal is cut into cut sections by a sliding window with a step length of 0.015-0.025 s and a length of 0.4-0.8 s, and a convolutional neural network is trained by the cut sections to form a ventricular premature beat heartbeat judging mode. The length of 0.4-0.8 s just corresponds to the length of one heartbeat period, and influence of R waves can be effectively avoided through the set step length of 0.015-0.025 s, so that judgment precision of ventricular premature beat is met, and the calculation amount is reduced.

Description

technical field [0001] The present application belongs to the technical field of electrocardiogram processing, and in particular relates to a method and device for locating premature ventricular beats based on an improved convolutional neural network. Background technique [0002] Before the sinoatrial node impulse reaches the ventricle, any part of the ventricle or the ectopic rhythm point of the ventricular septum sends out an electrical impulse in advance to cause the depolarization of the ventricle, which is called premature ventricular contraction, referred to as premature ventricular contraction. Although sporadic ventricles seen in normal healthy people are not clinically significant, but in the case of a tester suffering from organic heart disease, it must be analyzed according to different conditions and given necessary measures in combination with clinical symptoms and medical history. treat. Especially for the dynamic electrocardiogram monitoring of patients, it ...

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): A61B5/0402A61B5/0456A61B5/352
CPCA61B5/7267A61B5/352A61B5/318
Inventor 朱俊江何雨辰邓欣严天宏李滨
Owner SHANGHAI SID MEDICAL CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com