Pulse of Human Body Identification Base on Fuzzy Neural Networks

摘要：

The examined signal of human bodys pulse can reflect the complicated signal of pulse. The cause of lead 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.

作者: Rui Wang Chuan Feng Xu Wang

作者单位: School of Information Science & Engineering Northeastern University, Shenyang, Liaoning 110004, P.R. Vocational and Technical school of Shenyang Pharmaceutical University, Shenyang, Liaoning 110026, P. School of Information Science & Engineering Northeastern University, Shenyang, Liaoning 110004, P.R.

会议类型: 国际会议

会议名称: 2007 IEEE/ICME International Conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

会议地点: 北京

会议语种:英文

页码: 341-344

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）