Medical big data processing method based on body area network and cloud computing

Abstract

The invention discloses a medical big data processing method based on a body area network and cloud computing. The method comprises the steps that a physiological sensor senses user physiological data, generates a symmetric key for encryption of data through utilization of an APTEEN protocol and a Diffie-Hellman key exchange protocol, signs the data through utilization of a Merkle tree and transmits the processed data to a mobile device; the mobile device decrypts the data uploaded by the physiological sensor, verifies a user identity and completeness of the transmission data and sends verified user data to a cloud server for data storage and data analysis; and the cloud server stores a data analysis result and sends the data analysis result to the mobile device. According to the method, the medical data is stored and protected through adoption of a transmission encryption technology, so the problem that the privacy of a patient is leaked is effectively solved; and the data is transmitted to the cloud server in real time through a wireless network, redundancy eliminated storage and real-time decision analysis problems for the real-time transmission data are solved through utilization of a big data technology, and the security protection and real-time analysis of the medical big data are realized.

Description

technical field [0001] The present invention relates to the field of wireless human body area network, cloud server and big data, including the collection, protection, storage and analysis of human body physiological data. method based on real-time analysis. Background technique [0002] Wireless body area network is a basic technology that can monitor and record human health signals for a long time. Its early application is mainly used to continuously monitor and record the health parameters of patients with chronic diseases (such as diabetes, asthma and heart disease, etc.), providing some kind of Automatic therapy control. These early applications were singular devices with limited disease or safety decisions. Moreover, the traditional wireless sensor network security and privacy protection technology is not suitable for the wireless body area network with more limited computing and storage capabilities, and the solution to the security and privacy issues of the wireles...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art. A medical big data processing method based on body area network and cloud computing can collect and transmit data from various health sensors to the cloud through a wireless body area network, and store and access data based on the cloud. and computing power, to solve the problem of low analysis efficiency of a single sensor device; to store medical data and protect privacy through transmission encryption technology, which effectively solves the problems of traditional patient privacy leakage; The sensor storage and processing capacity of the input device is limited, and it is transmitted to the cloud in real time through the wireless network. Big data technology is used to solve the redundant storage and real-time decision analysis of these real-time transmitted data, making modern medical care more intelligent. Various health parameters are collected to improve the detection and recognition rate of diseases, so as to carry out early prevention and reduce medical costs

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