Unlock instant, AI-driven research and patent intelligence for your innovation.

P-wave detection method based on double density wavelet transform

A technology of wavelet transform and detection method, which is applied in diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of accurate detection and extraction of difficult P waves, and achieve high signal-to-noise ratio, high smoothness, and small smoothing value Effect

Active Publication Date: 2019-11-08
ZHEJIANG UNIV
View PDF15 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention mainly solves the technical problems existing in the prior art that it is difficult to accurately detect and extract P waves, and provides a high-precision P wave detection method based on double-density wavelet transform

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 detection method based on double density wavelet transform
  • P-wave detection method based on double density wavelet transform
  • P-wave detection method based on double density wavelet transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0039] Embodiment: a kind of P wave detection method based on double-density wavelet transform of the present embodiment, such as figure 1 shown, including the following steps:

[0040] S01. Denoising the ECG signal: using a wavelet threshold denoising method based on double-density wavelet transform to perform noise reduction processing on the front-end ECG signal to obtain a relatively pure ECG signal S(n);

[0041] S02. Positioning the R wave: performing continuous wavelet decomposition on the ECG signal S(n). The wavelet decomposition is specifically calling the cwt function and then selecting the wavelet basis function mexh to decompose the signal. The decomposition scale is determined according to the sampling frequency Fs of the ECG signal. For example, the sampling frequency is 50Hz, the decomposition scale is 1, and the signal in the 0-25Hz frequency band is mainly obtained, and the decomposition scale is 2, and the signal in the 0-12.5Hz frequency band is mainly obta...

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 detection method based on double density wavelet transform, comprising the following steps: S01, using double density wavelet transform to denoise ECG signals; S02, positioning a R-wave; S03, positioning a Q-wave; S04, performing doubledensity wavelet decomposition on the ECG signals and reconstructing the ECG signals to determine whether there is a P-wave; S05, positioning the P-wave. The method of the invention can obtain the P-wave with a high signal-to-noise ratio, a small smoothing value and high smoothness, and provides a good basis for subsequent data analysis. This solution of the invention is applicable to the processing of ECG signals in a wearable ECG system.

Description

technical field [0001] The invention relates to the field of electrocardiogram data processing, in particular to a P wave detection method based on double-density wavelet transform. Background technique [0002] The wearable ECG detection system can meet the requirements of continuous monitoring, dynamic detection, and mobile access, and is being more and more widely used in the field of medical and health care. The wearable ECG detection system can collect ECG signals for a long time, obtain a large amount of data, and has the following characteristics: 1. Weakness and low frequency; 2. Randomness and instability; 3. High impedance and near Field detection characteristics; 4. Vulnerable to interference. How to detect and extract useful signal components from ECG signals is the core problem that needs to be solved urgently. [0003] The object of extracting the characteristic parameters of the ECG signal is mainly QRS wave group, P wave, T wave, ST segment and other wavefo...

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): A61B5/0452A61B5/0456A61B5/352
CPCA61B5/7225A61B5/7203A61B5/352A61B5/349
Inventor 潘敏马艺文赵静
Owner ZHEJIANG UNIV