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

Electrocardiogram and pulse wave relation analysis method and method and device of fusion analysis

A relationship analysis and pulse wave technology, applied in medical science, sensors, catheters, etc., can solve problems such as the relationship analysis between ECG and pulse wave, and achieve the effect of improving the classification accuracy.

Inactive Publication Date: 2013-09-11
SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI
View PDF4 Cites 44 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the prior art, there is no method and device for analyzing the relationship between the electrocardiogram and the pulse wave, and performing fusion analysis on the sampled data based on this analysis

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
  • Electrocardiogram and pulse wave relation analysis method and method and device of fusion analysis
  • Electrocardiogram and pulse wave relation analysis method and method and device of fusion analysis
  • Electrocardiogram and pulse wave relation analysis method and method and device of fusion analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Embodiment 1 of the present invention provides a method for analyzing the relationship between an electrocardiogram and a pulse wave. The electrocardiogram and pulse wave data in this embodiment are the electrocardiogram and pulse wave data obtained for a specific known cardiovascular disease, such as but not limited to atrial fibrillation, which are not listed here. Taking atrial fibrillation as an example, it is first necessary to obtain the pulse wave and electrocardiogram data of atrial fibrillation.

[0039] Such as figure 1 As shown, the method includes the following steps:

[0040] Step S1: Perform preprocessing on the acquired ECG and pulse wave signals of a subject with a known disease, including baseline translation and denoising;

[0041] Step S2: performing visual presentation of two-dimensional and / or three-dimensional images on the preprocessed electrocardiogram and pulse wave;

[0042] Step S3: extracting ECG features and pulse wave features;

[0043]...

Embodiment 2

[0088] Embodiment 2 of the present invention provides a device for analyzing the relationship between electrocardiogram and pulse wave. The device adopts the method provided in embodiment 1 to analyze the relationship between electrocardiogram and pulse wave. The electrocardiogram and pulse wave data in this embodiment are the electrocardiogram and pulse wave data obtained for a specific known cardiovascular disease, such as but not limited to atrial fibrillation, which are not listed here.

[0089] Such as figure 2 As shown, the device includes a preprocessing module 1 , a visual presentation module 2 , an electrocardiogram feature extraction module 3 , a pulse wave feature extraction module 4 and a comparative analysis module 6 . Among them, the preprocessing module 1 performs preprocessing on the acquired ECG and pulse wave signals respectively, including baseline translation and denoising; the visualization presentation module 2 performs two-dimensional and / or three-dimen...

Embodiment 3

[0094] Embodiment 3 of the present invention provides a method for analyzing the relationship between electrocardiogram and pulse wave. The electrocardiogram and pulse wave data that need to be processed in this embodiment are the electrocardiogram and pulse wave data obtained for a subject with an unknown disease. enumerate. The implementation of this method relies on Example 1, that is, it needs to be carried out on the basis of Example 1.

[0095] Such as image 3 As shown, the method includes the following steps:

[0096] Step Q1: Decision-making fusion of the acquired ECG and pulse wave signals of an unknown disease subject;

[0097] Step Q2: Using a deep learning classifier, using a deep neural network to perform data layer and feature layer fusion on the ECG and pulse wave signals of unknown disease subjects;

[0098]Step Q3: Comprehensively analyze the relationship between the features of the electrocardiogram and the pulse wave signal after the fusion of the decis...

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 relates to the technical field of measurement for diagnosis, and provides an electrocardiogram and pulse wave relation analysis method and a method and device of fusion analysis based on the electrocardiogram and pulse wave relation analysis method. The electrocardiogram and pulse wave relation analysis method includes the steps that step1, obtained electrocardiogram signals and pulse wave signals of a known patient are preprocessed respectively, and the preprocess comprises base line horizontal-moving and denoising; step2, the preprocessed electrocardiogram and the pulse wave are visually showed in a two-dimensional and / or three-dimensional image; step3, characteristics of the electrocardiogram and the pulse wave are extracted; step4, the characteristics of the electrocardiogram and the pulse wave are compared and analyzed to obtain the mutual relation of the characteristics of the electrocardiogram and the pulse wave, and fusion analysis inspection is carried out according to the mutual relation of the characteristics. Compared with analysis of singular signals, the accuracy rate of classification of results is improved.

Description

【Technical field】 [0001] The invention relates to the technical field of measurement for diagnostic purposes, in particular to a method and device for analyzing the relationship between an electrocardiogram and a pulse wave and based on the fusion analysis. 【Background technique】 [0002] An electrocardiogram is a graph that records the electrical signals generated by the heart cycle and draws them in a prescribed format. The pulse wave is formed by the pulse of the heart propagating along the arterial vessels and blood flow to the periphery. Although the forms produced by the two are different, the source of both is the heart, so it is of great significance to study the mutually exclusive, consistent and complementary relationship between the two. [0003] ECG has been widely used in the clinical diagnosis of cardiovascular diseases. In recent years, in order to reduce the workload of doctors in remote monitoring and medical examination centers, the demand for automatic E...

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): A61B5/02A61B5/0402
Inventor 胡晓娟董军
Owner SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI
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