Pulse of Human Body Identification Base on Fuzzy Neural Networks

The examined signal of human body´s pulse can reflect the complicated signal of pulse. The lead cause to disease is various, the manifestation and change is complicated, therefore the commonly seen pulse condition in clinical always the concurrent pulse which can reflect many aspects of the disease. This paper studies major identification of concurrent pulse based on fuzzy theory and neural networks technique. Through its slow-rapid, floating-sunken, feeble-excess etc feature parameters establish to system of concurrent pulse identification. The result shows that identify-rate of concurrent pulse attains 90% above.