A Standard 12-Lead ECG Segmented Linear Reconstruction Method Based on Adaptive ECG Signal Region Segmentation

An ECG signal and region segmentation technology, applied in the field of signal processing, can solve the problems of inability to achieve both speed and accuracy, and achieve the effect of both speed and accuracy, reducing requirements, and reducing training costs

Active Publication Date: 2021-02-19
ZHEJIANG UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the inadequacy of the prior art that cannot have the characteristics of rapidity and accuracy, the present invention proposes a standard 12-lead ECG segmented linear system based on adaptive ECG signal area segmentation that is both rapid and accurate. reconstruction method

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
  • A Standard 12-Lead ECG Segmented Linear Reconstruction Method Based on Adaptive ECG Signal Region Segmentation
  • A Standard 12-Lead ECG Segmented Linear Reconstruction Method Based on Adaptive ECG Signal Region Segmentation
  • A Standard 12-Lead ECG Segmented Linear Reconstruction Method Based on Adaptive ECG Signal Region Segmentation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] refer to Figure 1 ~ Figure 3 , a standard 12-lead ECG segmental linear reconstruction method based on adaptive ECG signal region segmentation, the m lead subset T used for reconstruction is denoted as T={L 1 , L 2 ,...,L m}, m=3,4,…,7, the 2 leads in T are randomly selected from limb leads I, II, III, and the remaining (m-2) leads in T are selected from chest leads V1, V2 , V3, V4, V5, randomly selected in V6, the reconstruction method includes the following steps:

[0034] a) Adaptive ECG signal region segmentation

[0035] First, the standard 12-lead ECG signal is adaptively partitioned. According to the fluctuation characteristics of the ECG signal and different cardiac stages, it is divided into the head and tail area, ST-T area, R-P area and QRS area. Among them, the head and tail area contains the ECG signal with incomplete period in the signal head...

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

A standard 12-lead electrocardiographic segmental linear reconstruction method based on adaptive electrocardiographic signal area segmentation, comprising the following steps: a) adaptive electrocardiographic signal area segmentation, performing adaptive partitioning on standard 12-lead electrocardiographic signals, According to the fluctuation characteristics of the ECG signal and different cardiac stages, it is divided into the head and tail area, the ST-T area, the R-P area and the QRS area; b) linear regression training and reconstruction, using the least squares criterion to analyze the existing ECG The process of linear modeling and linear reconstruction of the sample; c) Restoration of the sub-regional ECG sequence. Since the new number to be reconstructed is subjected to linear reconstruction after the segmentation of the ECG signal region, the reconstructed cardiac electronic region sequence needs to be restored to the conventional sequence ECG signal. The present invention proposes a standard 12-lead electrocardiographic segmental linear reconstruction method based on adaptive electrocardiographic signal area segmentation with both rapidity and accuracy.

Description

technical field [0001] The invention belongs to the field of signal processing, and more specifically relates to a method related to lead reconstruction of human electrocardiogram signals. Background technique [0002] In recent years, the electrocardiogram (ECG) has gradually become one of the most commonly used means of diagnosing heart disease. Studies have pointed out that a variety of heart diseases, including cardiac arrest, are more likely to show specific symptoms before the onset, and last for more than 15 minutes. Some of these symptoms can be detected from the waveform characteristics of the ECG, therefore, long-term continuous ECG monitoring is required to make an effective early warning of sudden cardiac disease. However, the traditional Holter monitoring machine brings a lot of inconvenience to the life of the carrier and the collection of ECG due to its large size and easy introduction of wire interference. At present, wearable ECG monitoring equipment has g...

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 Patents(China)
IPC IPC(8): A61B5/318A61B5/346A61B5/24A61B5/332A61B5/282
Inventor 潘赟朱怀宇俞毕洪杨哲韦笠陈佳平
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap