Suzhou Rainmed Medical Technology Co., Ltd.

China University of Mining and Technology (CUMT)

Wei Dai

Guangzhi Liu

Lin Chen

Zhiyuan Wang

Liang Dong

Jianping Li

Jing Nan

Guanghui Wang

Yong Huo

Lanhao Wang

Langlong Ji

Yanjun Gong

Yanshuang Ao

Bo Zheng

Mengjie Hu

Tieci Yi

Dianhui Wang

Provided is an industrial process soft sensor method based on a federated stochastic configuration network, including: acquiring historical industrial process auxiliary data and corresponding product quality data; finding out optimal hidden layer parameters; processing, by a central server, to obtain global parameters, and downloading same to each factory as hidden layer parameters for a local model; obtaining output weights of a current network through an optimization algorithm, and uploading same to the server for weighted aggregation; and when the number of hidden layer nodes in a current network exceeds a maximum given value or a residual in current iteration meets an expected tolerance, completing modeling to obtain the global federated stochastic configuration network without adding new nodes. The present disclosure effectively improves prediction performance of models and protects data privacy, thus meeting industrial process soft sensor requirements.

Industrial process soft sensor method based on federated stochastic configuration network

The present disclosure provides a method for correcting a resting blood flow velocity on the basis of an interval time between angiogram images, comprising: acquiring, in an angiography state, an average blood flow velocity Vfrom a coronary artery inlet to a distal end of a coronary artery stenosis (S); acquiring a time difference Δt between start times of two adjacent bolus injections of contrast agent (S); obtaining a correction coefficient K according to the time difference Δt (S); obtaining a resting blood flow velocity Vaccording to the correction coefficient K and the average blood flow velocity V(S), as well as an apparatus configured for implementing the above method. The disclosure obtains the resting blood flow velocity Vaccording to the correction coefficient K and the average blood flow velocity V.

Method and apparatus for correcting blood flow velocity on the basis of interval time between angiogram images

A method, device and system for calculating a microcirculation indicator are provided. A method includes: injecting a vasodilator and subjecting a blood vessel to be measured to coronary angiography; selecting at least one angiographic image of a first body position when the blood vessel to be measured is in a resting state and an angiographic image of a second body position when the blood vessel to be measured is in a dilated state; obtaining a three-dimensional coronary artery vascular model by three-dimensional modeling; injecting a contrast agent, and obtaining time Ttaken for the contrast agent flowing from an inlet to an outlet of the segment of blood vessel and time Ttaken for the contrast agent flowing from an inlet to an outlet of the segment of blood vessel; obtaining the microcirculation indicator.

Method, device and system for calculating microcirculation indicator based on image and pressure sensor

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Jiangsu, China

Wei Dai