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:
Feb. 25, 2025

Filed:

Dec. 28, 2023
Applicants:

Qilu University of Technology (Shandong Academy of Sciences), Jinan, CN;

Shandong Computer Science Center (National Supercomputing Center IN Jinan), Jinan, CN;

Inventors:

Minglei Shu, Jinan, CN;

Rui Qu, Jinan, CN;

Pengyao Xu, Jinan, CN;

Shuwang Zhou, Jinan, CN;

Zhaoyang Liu, Jinan, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/308 (2021.01); G06N 3/0464 (2023.01);
U.S. Cl.
CPC ...
A61B 5/7221 (2013.01); A61B 5/308 (2021.01); A61B 5/7203 (2013.01); G06N 3/0464 (2023.01);
Abstract

An electrocardiograph (ECG) signal quality evaluation method based on a multi-scale convolutional and densely connected network is provided. Firstly, an original ECG signal is preprocessed to remove a baseline drift and power line interference. Then, based on a consistency principle of a label determining result and a principle of setting a confidence coefficient, an AlexNet model is trained to mutually correct incorrect labels in a dataset to obtain a final ECG signal fragment for quality classification. Finally, the signal fragment is input into an improved lightweight densely connected quality classification model to classify quality of the ECG signal fragment.


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