• DocumentCode
    3432941
  • Title

    Blood Oxygen Monitoring Cloud Platform based on the Attribute Theory College of Information Engineering

  • Author

    Zheng, M.K. ; Feng Jia-li

  • Author_Institution
    Coll. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    657
  • Lastpage
    662
  • Abstract
    Though a brief account of blood oxygen monitoring service system and the Attribute Theory, combining with the working theory of blood oxygen monitoring, the author puts forward a new system of blood oxygen monitoring based on the attribute theory. The system based on it aims to standardize the process of blood oxygen monitoring service and the implementation process of crossing many platform communication modules, especially to put forward an implementation method of the monitoring equipment and administrator as well as the user and administrator management business stage. It is shown that this method can achieve the desired results which can determine the results of ontology attribute retrieval function flexibly and reasonably and more accurately obtained the data level picture and the identification flowchart which are from the attribute blood oxygen monitoring module to the attribute blood oxygen recognition module.
  • Keywords
    biology computing; blood; ontologies (artificial intelligence); oxygen; attribute blood oxygen monitoring module; attribute blood oxygen recognition module; attribute theory; blood oxygen monitoring cloud platform; communication modules; data level picture; identification flowchart; management business stage; monitoring equipment; ontology attribute retrieval function; Biomedical monitoring; Blood; Bluetooth; Gravity; Monitoring; Ontologies; Oxygen; Attribute Theory; Blood Oxygen Monitoring; Blood Oxygen Recognition; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2012 IEEE International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2310-9
  • Type

    conf

  • DOI
    10.1109/GrC.2012.6468703
  • Filename
    6468703