Abstract: A cloud-edge collaborative processing system includes: an edge computing system, an ICU diagnosis and treatment device, a service terminal device, and a cloud platform. The edge computing system collects multi-source heterogeneous medical data output from the ICU diagnosis and treatment devices and performs preprocessing, stores preprocessed data into an edge database, and connects to the cloud platform for data transmission and business interaction. The cloud platform connects to a plurality of edge computing systems to perform computation and processing of massive data. The medical-staff handheld terminals and the data terminals of wards are used to issue service instructions to the cloud platform to obtain the required third-party-business services.

Abstract: Disclosed are a method and system for generating a data analysis report of a multi-parameter monitoring device. The method includes: receiving, by an application server, multi-parameter data transmitted in real time by the multi-parameter monitoring device, and storing the received multi-parameter data in a database server; the application server receiving a report generation instruction transmitted by a client, the instruction including a client identifier used for indicating a permission of the client; if the permission is a first mode permission, transmitting the multi-parameter data to the client, to allow the client to process the multi-parameter data, so as to generate a multi-parameter analysis report and a report attachment; and if the permission is a second mode permission, the application server processing the multi-parameter data to generate the multi-parameter analysis report and the report attachment, and transmitting the multi-parameter analysis report and the report attachment to the client.

Abstract: The present application relates to a system and method for sharing data on a medical cloud platform based on third-party business. The system includes: a terminal device and a cloud platform. The cloud platform receives a massive quantity of vital-sign data that are sent by the terminal device, analyzes and processes the massive quantity of vital-sign data by using the deep-learning framework of distributed parallel computation, screens abnormal data, and sends an abnormal-event warning to the user, to prompt the medical care personnel to quickly intervene.

Abstract: The present application provides a method and system for acquiring centerline of aorta based on CT sequence images. The method comprises: acquiring three-dimensional data of CT sequence images; acquiring a gravity center of heart and a gravity center of spine based on the three-dimensional data; filtering impurity data from the three-dimensional data of CT sequence images to obtain an image containing left atrium, left ventricle and without interfering coronary artery tree; layered slicing to obtain a group of binarized images; obtaining a circle center and an radius from each layer of slice in the group of binarized images, to generate a point list and an radius list; and mapping one or more pixel points in the point list and the radius list to the image to obtain a centerline of aorta.

Abstract: A method, apparatus and device for correcting a vascular pressure difference are disclosed. An intracavity imaging technology is used to acquire images in a main branch blood vessel. A plurality of blood vessel cross sections are obtained using the images, and an area of a cutting plane of a side branch blood vessel is directly calculated by using the blood vessel cross sections. The blood vessel difference is then corrected by using the cutting area.

Abstract: A blood vessel pressure difference correction method includes: obtaining a plurality of blood vessel cross sections between a first end point and a second end point along a main axis of a first blood vessel by taking a proximal demarcation point of the first blood vessel and a second blood vessel as the second end point, and taking a carina as the first end point; forming contour lines by the blood vessel cross sections on a first blood vessel wall and a second blood vessel wall; enclosing, by the contour lines formed by the blood vessel cross sections on the first blood vessel wall, a plurality of first blood convex surfaces; enclosing, by the contour lines formed by the blood vessel cross sections on the second blood vessel wall, a plurality of second blood vessel convex surfaces; intersecting, by the first blood convex surfaces and the second blood vessel convex surfaces, to form a plurality of intersection lines; fitting the plurality of intersection lines into an intersection plane; calculating an area o

Abstract: The present application relates to a system and method for sharing data on a medical cloud platform based on third-party business. The system includes: a terminal device and a cloud platform. The cloud platform receives a massive quantity of vital-sign data that are sent by the terminal device, analyzes and processes the massive quantity of vital-sign data by using the deep-learning framework of distributed parallel computation, screens abnormal data, and sends an abnormal-event warning to the user, to prompt the medical care personnel to quickly intervene.