Notice of RetractionStudy on Methods of Analysis and Classification for Pulse-Condition

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.

Several methods of character analysis and classification for pulse condition are studied with the use of statistics theory. There methods are applied to character abstraction. Pulse condition is analyzed in time, frequency and wavelet domain. Two classifications methods are used, namely back-propagation neural network (BPNN) and fuzzy neural network (FNN). Withdrew pulse condition characteristic to use the many kinds of different signal analyzing method, mainly analyzed the way is, the time domain characteristic withdrew, frequency domain analysis and wavelet domain analysis. On the other hand, has studied several kind of classifications, has carried on the contrast through the experiment to the different characteristic validity and the different classification performance. The experimental result indicated that, the time domain characteristic withdraw the method to be better.