Boe Technology Group Co., Ltd.

Jinnv Liu

Guangcai Yuan

Zhongyuan Sun

Meng Yan

Xue Chen

Che An

Shuobin Liang

Yude Li

Li Zhou

Xianqiang Ni

A display substrate (), including a flexible substrate body, a thickness adjustment layer (), and a micro-lens layer (). The flexible substrate body includes: a plurality of island-shaped display regions () spaced apart from each other, a hollow region () disposed between adjacent island-shaped display regions (), and a connection region () for connecting the adjacent island-shaped display regions (). The thickness adjustment layer () is disposed on light exit sides of the plurality of island-shaped display regions () of the flexible substrate body. The micro-lens layer () is disposed on the side of the thickness adjustment layer () away from the flexible substrate body.

Display substrate and preparation method therefor, and display device

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.

Attention mechanism-based 12-lead electrocardiogram classification method and apparatus

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Beijing, China

Jinnv Liu