公开(公告)号：US20220309268A1

公开(公告)日：2022-09-29

申请号：US17513473

申请日：2021-10-28

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Xue CHEN ,  Jinnv LIU ,  Yude LI ,  Xianqiang NI ,  Shuobin LIANG ,  Li ZHOU

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/52 ,  G06K9/20 ,  G16H10/60 ,  G16H50/20 ,  A61B5/30 ,  A61B5/308

Abstract: An attention mechanism-based 12-lead electrocardiogram (ECG) classification method is described, the method including acquiring an original image of a 12-lead ECG, segmenting waveform data recorded in the original image to obtain segmented waveform data for each lead in the 12-lead ECG, performing depth feature extraction on the segmented waveform data of said each lead to obtain a first feature map of said each lead, performing feature transformation on the first feature map of said each lead based on an attention mechanism to obtain a depth feature of said each lead, and classifying the depth feature of said each lead to obtain a classification result for the original image. The classification method can make full use of the 12-lead ECG for overall classification and improve the accuracy of image classification.