Attribute characteristic reducing method of ECG body concept

A technology of attribute features and ECG ontology, applied in the field of attribute feature reduction of ECG ontology concepts, can solve the problems of acquiring concept attributes and the inability of knowledge bases to interoperate, and achieve the effect of reducing the calculation scale

Inactive Publication Date: 2019-08-06
BENGBU MEDICAL COLLEGE
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The construction of the ECG ontology in the medical field depends on the ECG database in the field. The existing databases cannot directly obtain the implicit and valuable conceptual attrib

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
  • Attribute characteristic reducing method of ECG body concept
  • Attribute characteristic reducing method of ECG body concept
  • Attribute characteristic reducing method of ECG body concept

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The following examples are used to illustrate the present invention, but not to limit the scope of the present invention.

[0034] A method for reducing the conceptual attribute characteristics of ECG and / or EEG ontology in the medical field. There are three modules of the reduction method in the computer:

[0035] Module S1: A processing module for labeling the semantic importance of ECG and / or EEG ontology concept attributes based on the rough membership model; the ECG and / or EEG ontology concept refers to the ECG and / or EEG ontology The normative description of the relationship between terms and terms, including the characteristics of conceptual entities and conceptual relationships.

[0036] Module S2: a processing module based on weighted interval concept lattice modeling of concept information entropy; the concept information entropy refers to the amount of attribute information contained in a concept.

[0037] Module S3: A processing module for adaptive reductio...

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 provides an attribute characteristic reducing method of an ECG body concept. An ECG signal diagnosis body in a medical field is used as a researching object. Through hierarchical weighting matched relation mapping, the invention provides the attribute characteristic reducing method based on an inclusion degree and an information entropy model. The method mainly comprises three stepsof S1, performing body concept attribute meaning importance marking based on a rough membership degree model; S2, performing weighting interval concept grid modeling based on the concept information entropy; and S3, performing concept attribute characteristic adaptive reducing based on hierarchical redundancy. The attribute characteristic reducing method has advantages of effectively improving body concept grade meaning information combining accuracy in an ECG signal diagnosis field, improving quality of a combined medical clinical diagnosis field database, and reducing computing scale required for large-scale mining of the meaning information in a medical field.

Description

technical field [0001] The invention belongs to the technical field of medical semantic network, knowledge grid computing and retrieval, and specifically relates to a method for reducing the attribute characteristics of the ECG ontology concept. Background technique [0002] ECG signal is one of the biosignals used in clinical heart disease diagnosis, which can comprehensively reflect the body surface characteristics of cardiac activity, and has received more and more attention from relevant scholars. ECG signals are affected by factors such as diagnostic criteria for heart disease and differences in disease types, which makes the ECG vary greatly among individuals. The diagnosis of related diseases mainly depends on the subjective judgment of doctors, resulting in inconsistent judgment standards for abnormal ECG signals and misdiagnosis. The rate is higher. [0003] With the rapid development of technologies such as network communication and cloud storage, automatic analys...

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): G16H10/60G16H50/50G06F16/25G06F16/27
CPCG16H10/60G16H50/50
Inventor 王凯孙伟伟刘鹏
Owner BENGBU MEDICAL COLLEGE
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