Method for automatically identifying uterine contraction based on uterus electromyographic signal

An automatic identification and electrical signal technology, applied in uterine pressure measurement, medical science, sensors, etc., can solve problems such as inability to automatically identify uterine contractions and inability to use clinical diagnosis

Active Publication Date: 2019-07-12
BEIJING UNIV OF TECH
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method cannot automatically identify uterine contractions, therefore, it cannot be used in clinical diagnosis

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
  • Method for automatically identifying uterine contraction based on uterus electromyographic signal
  • Method for automatically identifying uterine contraction based on uterus electromyographic signal
  • Method for automatically identifying uterine contraction based on uterus electromyographic signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] Step A1: collecting uterine myoelectric signal O;

[0043] The following specific embodiments and accompanying drawings describe the present invention in detail, but the embodiments of the present invention are not limited thereto.

[0044] According to clinical experience, the uterine contractions in labor are about 3 times in 10 minutes, and the average duration of each time is 40s. Should be more than 15 minutes.

[0045] Step A2: Preprocessing the uterine myoelectric signal to obtain the preprocessed uterine myoelectric signal P;

[0046] Step A3: Calculate the average value E of the amplitude of the preprocessed uterine myoelectric signal P, and shift the amplitude of the preprocessed uterine myoelectric signal P up by αE to obtain the uterine myoelectric signal U after the amplitude is shifted up ;

[0047] Step A4: Calculate the zero-crossing rate Z of the uterine myoelectric signal U after the amplitude shifts up, and generate a zero-crossing rate function Z'...

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 a method for automatically identifying uterine contraction based on a uterus electromyographic signal and belongs to the technical field of monitoring of the obstetrics department. The method comprises the steps that firstly, the uterus electromyographic signal O is collected; the uterus electromyographic signal is pre-processed, and the pre-processed uterus electromyographic signal P is obtained; the average value E of the amplitude value of the pre-processed uterus electromyographic signal P is recorded, the upward movement alphaE of the amplitude value of the pre-processed uterus electromyographic signal P is obtained, and the uterus electromyographic signal U after upward movement of the amplitude value is obtained; the zero-crossing rate Z of the uterus electromyographic signal U after upward movement of the amplitude value is calculated, and a zero-crossing rate function Z' is generated; a result after the zero-crossing rate function Z' is uniformized isused as an input variable of a function M, and output of the function M is used as a value of a weight function Q; the weight function Q and the pre-processed uterus electromyographic signal P are correspondingly multiplied, and the uterus electromyographic signal K after weighting is obtained; an envelope curve of the uterus electromyographic signal K is acquired, and with the amplitude value ofthe curve as a function, a uterine contraction occurrence probability grey-scale map is generated. According to the method, the uterine contraction signal is automatically identified, the uterine contraction occurrence probability is visually displayed, and a new way is provided for monitoring of uterine activity.

Description

technical field [0001] The invention belongs to the technical field of childbirth monitoring and relates to a method for automatically identifying uterine contractions based on uterine myoelectric signals. Background technique [0002] Improving the quality of the population and reducing birth defects are important issues related to the livelihood of the family and Cathay Pacific. With the implementation of the childbirth policy, while the number of deliveries has increased dramatically, the number of high-risk parturients has also increased significantly. Uterine contraction, that is, uterine contraction directly promotes the fetus to expel the mother. Regular uterine contraction is an important feature of labor and the driving force for childbirth. It can be seen that uterine contractions are an important basis to reflect the delivery status of pregnant women, and uterine contraction monitoring is of great significance for ensuring maternal and fetal health. [0003] In ...

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): A61B5/00A61B5/0488A61B5/03
CPCA61B5/033A61B5/4356A61B5/7203A61B5/7235A61B5/725A61B5/316A61B5/389
Inventor 郝冬梅乔湘云宋晓晓杜梦晴杨琳张松杨益民李旭雯
Owner BEIJING UNIV OF TECH
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