Boe Technology Group Co., Ltd.

Beijing Boe Technology Development Co., Ltd.

Shuobin Liang

Kui Liang

Hongbo Feng

Yangyang Zhang

Honglei Zhang

Youxiang Xia

Xue Chen

Xiao Chu

Yude Li

Li Zhou

Jinnv Liu

Xianqiang Ni

Biological detection apparatuses, systems and methods are provided. A biological detection apparatus may include a flexible substrate and a biosensor. The biosensor is provided on the flexible substrate and configured to obtain substance information of a living body.

Biological detection apparatuses, systems and methods

The present disclosure provides a navigation method applied to a cloud server. The method includes: determining a global route between a starting point and a destination in response to navigation request information transmitted by a mobile terminal, the navigation request information includes at least information of starting point and destination; transmitting the global route to the mobile terminal to guide the user to drive according to the global route; acquiring a current position of the mobile terminal in response to road abnormality information transmitted by the mobile terminal in the driving process of the user; acquiring a shared route in the cloud server, and generating at least one corrected route from the current position to the destination; the corrected route is different from an original remaining route. The present disclosure also provides a cloud server, a mobile terminal, a navigation system, an electronic device, and a computer-readable medium.

Navigation method and system, cloud server, mobile terminal, electronic device and medium

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

The present disclosure provides a biological detection device, a biological chip, a microelectrode structure, and a manufacturing method of the microelectrode structure. The microelectrode structure can include a first insulating layer, a protrusion, and an electrode layer. The protrusion is disposed on the first insulating layer. The electrode layer conformally covers the first insulating layer and the protrusion. The present disclosure can improve the detection accuracy.

Biological detection device, biological chip, microelectrode structure and manufacturing method thereof

Growing community of inventors

Beijing, China

Shuobin Liang