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
Link To Document :
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