Intelligent Systems For Perception Of Health Data Based On Cloud Computing Research Of Key Technologies

With the rapid development of social economy and the advancement of medicalinformatization reform, in the same time of enhancing the living standards, the residents paymore attention on their health. Traditional health service system cannot satisfy the needs ofusers, because it is unable to provide health services which are real-time, cross-regional,long-term type and easy to operate. On the one hand, there still exists the limited medicalresources which makes seeking medical advice be a difficult problem, the vast majority ofpatients are only need simply health indicators monitoring on a regular basis other than tohave hospitalization, this can make the hospital resource waste and the social Medicarespending too much. On the other hand, for the growing number of chronic diseases andsub-health population, on the need to monitor patient’s relevant health indicators anytimeanywhere, traditional health service system using equipment have high professionalrequirements of operation, which needs patients to detect in specialized agencies. This topicaccording to above problems combining with the huge demand in the area of health, andbasing on the Internet of things and cloud computing technology, study and design anintelligent health perception faced ecological system which construct a set techniques ofperception layer, transport layer, cloud service layer and cloud application layer, and finallyimplement in software and hardware. This intelligent health perception ecological systemmainly composed of health data acquisition sensors, mobile intelligent terminals and cloudplatform. The system collect body physiological parameters through sensors and carry on datapreprocessing, and then through the heterogeneous data transmission network pass thephysiological parameters to cloud for cloud storage and analysis of data in cloud platform,thus achieve all kinds of physiological indexes in real time to the human body and remotemonitoring, realize the data detection, wireless data transmission, historical data storage, datatrend, intelligent risk early warning and monitoring of some chronic diseases treatment andthe prevention of complications, has played a positive and effective role. This topic focus onthe system of data transmission communication technology, intelligent terminal controltechnology, low power transmission technology and cloud computing service, and deeplystudied the key technology of intelligent terminal data acquisition and processing.The main work of this paper is as follows:1. Briefly introduce some advanced techniques in the intelligent terminal of health perceptionsystem. Detailed introduce cloud computing technology, intelligent terminal applicationtechnology and some basic knowledge of sensor. Then this paper emphasis on the cloudstorage technology based on cloud computing and intelligent terminal application technologyfor different platform.2. Realize the intelligent health perception system data acquisition module and design thetransmission model. Combined with cloud computing technology, low power consumption data transmission technology and sensor technology design the health data acquisition moduleand transmission model, and carry on a feasibility analysis to the design scheme of each layer.This paper focus on and achieve the hardware design and integration of health dataacquisition module in the intelligent terminal, complete the design of intelligent terminalacquisition transmission technology implementation scheme.3. The research of data processing scheme of the intelligent health perception system.According to the data acquisition of the perception layer, this paper studies several low powerdata fusion technology, and design a scheme of data transmission in transport layer to studydata storage and data analysis techniques of cloud service layer, which realize analysis ofhealth data in application layer. This part focus on the study and implementation oftransmission method and software realization of transmission module, as well as data storagetechnology of cloud platform, finally design a health data processing model, which has hightransmission efficiency and good real-time performance.4. The optimization of man-machine interface design. Realized the visualized data interactionof real-time health data on the intelligent terminal.