Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The China-Austria OnLine-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, non-invasively, on-line, and remotely. The NIMM, using the mathematical relation between electro-signal-transmission-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.
Keywords :
biomedical measurement; grid computing; medical diagnostic computing; neural nets; parallel algorithms; patient diagnosis; China-Austria online-diagnosis noninvasive medical-measurement; grid computing system; in-computer-embedded complete parallel-operating intelligent-base; parallel algorithm; parallel neural computation; workflow engine; Application software; Biomedical engineering; Concurrent computing; Engines; Field programmable gate arrays; Grid computing; Information theory; Medical diagnostic imaging; Read only memory; Technological innovation;