The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 05, 2022

Filed:

Oct. 08, 2021
Applicant:

Guangdong University of Technology, Guangzhou, CN;

Inventors:

Jun Lu, Guangzhou, CN;

Lei Li, Meizhou, CN;

Shengli Xie, Guangzhou, CN;

Jie Luo, Dongguan, CN;

Zongze Wu, Guangzhou, CN;

Qiyu Yang, Guangzhou, CN;

Sihai Qiu, Shenzhen, CN;

Binbin Yan, Shenzhen, CN;

Dewei Chen, Shenzhen, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/366 (2021.01); G16H 50/30 (2018.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
A61B 5/366 (2021.01); G06N 3/049 (2013.01); G16H 50/30 (2018.01);
Abstract

A method for extracting f wave from a single-lead electrocardiography signal is provided. The method includes: establishing a two-channel temporal convolutional neural network model, including two coding submodules, two mask estimation submodules, an information fusion module and two decoding submodules; constructing a training data set of ECG signals; training the two-channel temporal convolutional neural network model, and saving the trained model. The two-channel temporal convolution neural network encodes and decodes a QRST complex and the f wave respectively, and uses a mask of information fusion to estimate and construct regular items to restrict a distribution difference of QRST component coding features, so as to reduce the distortion of the QRST complex, select potential features of a QRST complex and f wave with high signal-to-noise ratio, and thus improve a detection accuracy of the f wave.


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