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RETRACTED ARTICLE: A novel non-invasive medical measurement based on parallel neural computation supported by the grid  ( EI收录)  

文献类型:会议论文

英文题名:RETRACTED ARTICLE: A novel non-invasive medical measurement based on parallel neural computation supported by the grid

作者:Cao, Hui[1]; Ma, Dongping[1]; Wang, Xuan[1]; Han, Yuzhang[2]; Han, Jianguo[3]

通讯作者:Cao, H.

机构:[1] Biochemical Engineer College, Beijing Union University; [2] Institute of Scientific Computing, University of Vienn; [3] University of Beijing, Chemical Industry

第一机构:北京联合大学生物化学工程学院

会议论文集:Proceedings - 4th International Conference on Natural Computation, ICNC 2008

会议日期:October 18, 2008 - October 20, 2008

会议地点:Jinan, China

语种:英文

外文关键词:Computation theory - Computer operating systems - Diagnosis - Diseases - Information theory - Medical computing - Medical information systems - Remote control

摘要:The China-Austria On-Line-Diagnosis Medical-Measurement Grid computing system (CAODMMG) consist of a special novel non-invasive medical measurement (NIMM) based on the combination of modern medical measurement, modern information theory and traditional Chinese medical theory, the Grid computing system equipped by the newly practically developed workflow engine (WEEP) and in-computer-embedded complete parallel-operating intelligent- base (CEIB) helps the medics and patients in benefiting from determining the illness/health situation conveniently, quickly, resource sharing, noninvasively, on-line, and remotely. The NIMM, using the mathematical relation between electro- signaltransmission-characters and illness/health situation, the WEEP, calling and executing separate services flexibly, the CEIB, operating the algorithms completely parallel and independently, and their final combination are considerable innovations to be proposed in this paper against the popular modern medical measurement, the normal Grid frame and traditional intelligent base, and thus, the CAODMMG faces a wide application future in the domains such as multivariable-, non-linear-, on-line-, real-time-, and remote- control and soft sensing. ? 2008 IEEE.

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