Electrocardiosignal feature point detecting method and device

A feature point detection and ECG signal technology, which is applied in diagnostic signal processing, diagnostic recording/measurement, medical science, etc., can solve the problem of increasing the amount of calculation in the model fitting process, scaling discounts, and inability to represent a variety of ECG Problems such as signal waveforms, to achieve real-time detection result output, high detection sensitivity and accuracy, and simple effects

Inactive Publication Date: 2017-01-25
TSINGHUA UNIV +1
View PDF11 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The problem with this method is that if the defined model is too simple, the scalability will be greatly reduced, and it will not be able to represent a variety of ECG signal waveforms; The real-time nature of the algorithm may even cause the fitting algorithm to fail to converge

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
  • Electrocardiosignal feature point detecting method and device
  • Electrocardiosignal feature point detecting method and device
  • Electrocardiosignal feature point detecting method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0060] figure 1 A schematic flow chart of a method for detecting feature points of ECG signals provided by an embodiment of the present invention is shown, as shown in figure 1 As shown, the ECG signal feature point detection method in this embodiment is as follows.

[0061] 101. Extract signal point pair features of all ECG sampling points in t...

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 electrocardiosignal feature point detecting method and device. The electrocardiosignal feature point detecting method comprises the steps that signal point pair features of all electrocardiosignal feature points in a sample set are extracted, and the signal point pair features of all electrocardiosignal testing points in a testing set are extracted; a mode recognition algorithm is utilized to train the extracted signal point pair features in the sample set to obtain an electrocardiosignal feature classification model; the electrocardiosignal feature classification model is utilized to classify the signal point pair features of all the electrocardiosignal testing points so as to obtain classification results of the signal point pair features of all the electrocardiosignal testing points, and the classification results serve as feature point detecting results of the electrocardiosignal testing points. The electrocardiosignal feature point detecting method can detect electrocardiosignal feature points in real time and is simple to achieve and higher in detecting sensitivity and accuracy rate.

Description

technical field [0001] The invention relates to the technical field of electrocardiographic information processing, in particular to a method and device for detecting feature points of electrocardiographic signals. Background technique [0002] ECG (electrocardiogram, referred to as ECG) reflects the electrical activity process of heart excitation, which has important reference value for the basic function and pathological research of the heart. [0003] At present, the detection methods of feature points (P wave peak and its boundary, QRS wave, T wave peak and its boundary) of general ECG signals can be divided into: 1. Use the base expansion method for feature point detection; 2. Use adaptive filtering 3. Fitting the ECG signal using an ECG signal waveform model (such as a Gaussian model), and obtaining the positions of the P wave, T wave and QRS wave according to the fitting result. [0004] The base expansion method is used for feature point detection. The base expansio...

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 Applications(China)
IPC IPC(8): A61B5/0402
CPCA61B5/72A61B5/7267A61B5/316A61B5/318
Inventor 王贵锦高鹏飞赵京伟张晨爽林剑平
Owner TSINGHUA 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