VITAL SIGN DATA PROCESSING METHOD AND SYSTEM BASED ON CLOUD PLATFORM

摘要

A vital sign data processing method and system based on a cloud platform, which belong to the field of medical cloud computing, solve the problem of a user not having the ability to analyze and process vital sign data, and also solve the problems of data formats and communication protocols of vital sign monitoring devices from different manufactures being incompatible with one another and being difficult to integrate and efficiently process. The method comprises: acquiring user data in real time for preprocessing and uniform encapsulation, and storing same in a vital sign database; applying a learning framework based on distributed parallel computing to the reading and analyzing of massive vital sign data in real time; screening abnormal data; automatically generating an electronic data analysis report; and sending, in a timely manner, an event abnormity prewarning to a user to prompt a healthcare professional to intervene quickly, thereby improving medical quality and working efficiency, reducing false alarm events of a device, and reducing the labor intensity and working pressure of the healthcare professional. Applying quantitative and qualitative data in a vital signal database to train and optimize a central model in real time further improves the data processing efficiency of a cloud platform.