Multi-sensor Information Fusion Technology In The Application Of Remote Medical Monitoring System

Along with the social development and people living standard rise ceaselessly, themedical service in real time, flexibility, intelligence and other aspects put forward the newrequirements, society needs more perfect medical system to provide the service, thus toinformation technology, network technology and electronic technology on the basis of remotemedical system arises at the historic moment.It is changing the traditional medical model, thehospital and hospitals, doctors and patients directly through the remote medical cooperation,established a new relationship, achieve the goal of improve the effect of health care.In the21st century, mobile communication technology and sensor technology becoming mature, andhas injected new vitality to the development of medical system, people begin to pay closekinds of health care system.Can have multiple sensors in the telemedicine system, collecting different physiologicalindexes, the multisensor data fusion problem is involved.Multi-sensor information fusion isthe different sensor in time or space complementary or redundant information are combinedaccording to a certain criterion, in order to get the consistency of the measured objectdescription or interpretation.Through the combination of information rather than theindividual elements appear in the input information, and more information is deduced,increase the degree of intelligent information system.This is the result of optimal synergy, thatis, the use of multiple sensors joint or jointly, with the advantage of combination of toimprove the validity of the sensor system for the system to provide intelligentdecision-making information.By oneself with Zhao Long classmates in Hao Zhen mentor, girder iron under the help ofthe teacher finished the design of the embedded remote medical monitoring system based onLabVIEW, the system hardware structure based on WiFi network, using the embedded WiFimicrocontroller as the core hardware processing, using LabVIEW graphical programminglanguage to design and develop the software platform of remote health monitoringsystem.Hardware in this system, the author of this paper: the body temperature, blood oxygen and pulse frequency of multisensor information fusion algorithm is studied.Considering thecharacteristic of remote medical system in use in the feature level fusion is presented in thispaper to deal with the primary physiological parameters of fuzzy sets, and then choose D-Sevidence theory on decision level data fusion, so as to determine whether the user’s health.