Design And Implementation Of Remote Medical Monitoring System Based On Ontology Reasoning

In recent years, whether we should give a hand to the elders when they need helpbecomes a hot issue. This is not only a problem in moral level, but also reflects the medicalproblems existing in our country. As the aging degree increases in our country, the problemof lacking of medical resources is getting worse. The traditional pension and medical cannotmeet the needs of people any more. People urgently need a kind ofintelligent, personalized medical service to break the shackles of time and space, making thesharing of medical knowledge comes true.On this basis, remote medical treatment is proposed. From the beginning of twentiethCentury, remote medical treatment has experienced three stages of development.And each remote medical progress is attributed to the developmentof communication technology. In2003, wireless sensor technology,which make treatmentmore intelligent and personalized, opened a new era of treatment services. The Body AreaNetwork(BAN) is the inheritance and development of wireless sensor technology, whichoffers unlimited possibilities for remote medical treatment.In this paper, the main contribution of the work is as follows:(1)In this paper, we carry on a further discussion about the concept of ontology andrelated construction technology.By comparing, a remote medical treatment system is built byusing OWL language in Protégé.(2)By using the SWRL language to describe the inference rules, we build the inferencedatabase and early warning database based on physiological parameters in BodyArea Network(BAN). During this process, aiming to make the inference rules more intelligentand accurate, We propose the specific inference rules for some factors, like age, the state ofmotion. Besides, we introduce the Jess reasoning engine to testify inference rules in ourdatabase and guarantee that all the inference rules are effective.(3)We design and construct a remote medical treatment system based on ontology. Itsbasic function and significance are introduced, especially the design and implement ofphysiological information diagnosis and early warning module. a physiological informationmonitoring module in detail. During the design of physiological information monitoring module, we ignore the real-time and non real time difference and make anunified definition for them as physiological information monitored during a time period, sothat we can reduce the work of the system.(4)The work of the paper are summarized from two anti aspect, the positive aspect andthe negative aspect. When it comes to ontology and inference database there is still a longway to go.