P-wave extracting method based on orthogonal projection and independent component analysis

A technology of independent component analysis and orthogonal projection, which is applied in the field of medical devices and can solve the problems of difficulty in extracting the P-wave of the ECG signal.

Active Publication Date: 2018-04-06
GUANGDONG UNIV OF TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies in the prior art, the present invention proposes a P-wave extraction method based on orthogonal projection

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
  • P-wave extracting method based on orthogonal projection and independent component analysis
  • P-wave extracting method based on orthogonal projection and independent component analysis
  • P-wave extracting method based on orthogonal projection and independent component analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0018] Such as figure 1 Shown, the present invention is based on orthogonal projection and independent component analysis P wave extracting method, comprises the steps:

[0019] (1) For the collected three-way ECG signal S 1 , S 2 , S 3 Perform comb filtering to remove 0Hz, 50Hz power frequency interference, and high-order harmonic interference. Median filtering removes baseline drift.

[0020] (2) Threshold detection is performed on the processed signal, and the threshold is defined as follows:

[0021]

[0022] Where p is the threshold, here μ is taken as 0.3, is the average of all extreme points.

[0023] (3) Since the QRS complex time of normal people is 0.06-0.08 seconds, and the sampling frequency of the signal is f s =1000Hz, so take the template lengt...

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 discloses a P-wave extracting method based on orthogonal projection and independent component analysis. The P-wave extracting method is used for analyzing and processing electrocardiograph signals, and includes the steps that collected electrocardiograph signals are subjected to signal preprocessing; a QRS wave group template is obtained with the time domain average method; QRS wavegroup ingredients are filtered out with the space orthogonal projection method through the wave group template, and therefore the signal to noise ratio of P waves and T waves in residual ingredients is increased; the P waves and T waves are separated; P waves after separation serve as reference signals, and the P waves are extracted from original aliasing signals again with the semi-blind method.

Description

technical field [0001] The invention relates to the field of medical equipment, in particular to a method for extracting P waves based on orthogonal projection and independent component analysis. Background technique [0002] The analysis of ECG signals is widely used in clinical medicine, and the detection of its characteristic parameters plays a key role in the diagnosis and treatment of cardiovascular diseases. QRS complexes, P and T waves are important components of ECG signals, and they reflect different states of cardiac motion. The detection of the characteristic parameters of the ECG signal is mainly to detect and identify the main parameters such as the QRS wave group, P wave, T wave and ST segment in the ECG signal. The QRS wave group is a main feature of the ECG signal and is the The primary problem in electrical signal detection, the same P wave and T wave also have important significance in the diagnosis of heart disease. P waves reflect potential changes duri...

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): A61B5/0452
CPCA61B5/7235A61B5/349
Inventor 黄晨昕谢胜利蔡坤王旭张雨昌
Owner GUANGDONG 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