The Time-requency Domain Analysis Of Human Pulse In Heart-qi Deficiency (Coronary Artery Blood Supply Insufficiency)

It has much significance of the Human Pulse(HP) objectification to succeed and develop the study of Pulse in Chinese Medicine. Signal processing and pattern recognition of Human Pulse are studied and discussed in this thesis on the basis of the research and development of artificial intelligence recognition system for Human Pulse.Based on the characteristics of Human Pulse,Wavelet packet Transform is originally used to process and analysis it. Wavelet packet analysis has a good qualities both in time domain and frequency domain and is an ideal tool in analyzing unsteady signal, so it is used to detect the singularity of Human Pulse and extract the features of Human Pulse both in time—frequency domain. Human Pulse is characterized by a new feature which is the energy of its wavelet packet transform in different scales.The Human Pulse in Heart—qi Deficiency is obviously in the wavelet packet analysis from the statistics of Vectors.