Shanghai Lepu Cloudmed Co., Ltd

Boe Technology Group Co., Ltd.

Hefei Xinsheng Optoelectronics Technology Co., Ltd.

Weiwei Zhou

Chang Liu

Zhe Li

Jun Cao

Chao Liu

Dongdong Zhang

Yan Jiang

Liang Tian

Jinming Li

Han Yan

Chuanyan Hu

Zifang Zhao

Qingshuang Ren

Huili Cao

Erfeng Shen

Tae Hyuck Yoon

Aihua Lei

Yue Zhang

Haitao Lu

Xingming Hu

Rubao Bi

Chaomou Dai

Shengwang Dong

Xiaofu Wu

Hongbo Xin

Jiayu Wang

An electrocardiogram information dynamic monitoring method and dynamic monitoring system. The method includes a dynamic monitoring device receiving monitoring reference data input by a user or issued by a server; the data collection on a tested object so as to obtain electrocardiogram data of the tested object; the characteristic identification on the electrocardiogram data so as to obtain characteristic signals of the electrocardiogram data, implementing cardiac activity classification on the electrocardiogram data according to the characteristic signals, obtaining cardiac activity classification information according to electrocardiogram basic rule reference data, and generating electrocardiogram event data, wherein the electrocardiogram event data comprises device ID information of the dynamic monitoring device; the dynamic monitoring device determining corresponding electrocardiogram event information according to the electrocardiogram event data, and determining whether the electrocardiogram event information is electrocardiogram abnormality event information; and outputting alarm information when the electrocardiogram event information is electrocardiogram abnormality event information.

Electrocardiogram information dynamic monitoring method and dynamic monitoring system

A method for assessing electrocardiogram signal quality, the method comprising: receiving heart beat analysis data by processing electrocardiogram data acquired from an electrocardiogram monitoring device; extracting position information and width information of a QRS complex in the heart beat analysis data; extracting an RR interval signal between two adjacent QRS complex signals; performing QRS complex signal cancellation processing on the RR interval signal to obtain an RR interval signal for which the QRS complex signal is removed; filtering the processed RR interval signal without the QRS complex signal, and performing envelope calculation on the filtered signal to obtain the average power of a noise signal of the RR interval signal for which the QRS complex signal is removed; obtaining a signal quality evaluation index according to the average power of the noise signal and the power of the QRS complex signal.

Method for assessing electrocardiogram signal quality

A self-learning dynamic electrocardiography analysis method employing artificial intelligence. The method comprises: pre-processing data, performing cardiac activity feature detection, interference signal detection and cardiac activity classification on the basis of a deep learning method, performing signal quality evaluation and lead combination, examining cardiac activity, performing analytic computations on an electrocardiogram event and parameters, and then automatically outputting report data. The method achieves an automatic analysis method for a quick and comprehensive dynamic electrocardiography process, and recording of modification information of an automatic analysis result, while also collecting and feeding back modification data to a deep learning model for continuous training, thereby continuously improving and enhancing the accuracy of the automatic analysis method. Also disclosed is a self-learning dynamic electrocardiography analysis device employing artificial intelligence.

Method and device for self-learning dynamic electrocardiography analysis employing artificial intelligence

The present disclosure provides a cache device and a LCD screen production line. The cache device provided by the present disclosure includes an outer frame having an opening for picking and placing cached items on a first side wall thereof and a support bracket for horizontally supporting cached items therein; and first blowing means disposed on the second side wall of the outer frame for blowing air toward the opening; second blowing means disposed on the third side wall or the fourth side wall of the outer frame; an exhaust means disposed on a fourth side wall opposite to the third side wall of the frame.

Cache device and LCD screen production line

Growing community of inventors

Beijing, China

Weiwei Zhou