Feature Extraction And Recognition Of Information Of Pulse Diagnosis Based On Hemodynamic Principle

Pulse diagnosis as the core of the Traditional Chinese Medicine (TCM) four diagnostic, which is the essence of TCM. However, the traditional pulse diagnosis relies mainly on the subjective experience of doctors for diagnosis, the lack of an objective basis, different doctors for the same patient is likely to be a different diagnosis, so that it is relative to Western medicine development is relatively slow. In computer science and technology rapid pace of development, there are a lot of researchers willing to join the research objective in the process of Chinese medicine.This article is from hemodynamic principle, vein pattern in order to better study the physiological and pathological changes of cardiovascular tissue contact, electrical network model established cardiovascular ten unit is coupled simplified model of the left arm. The main contents include:first, the viscous resistance from the blood, the blood is calculated compliance and blood flow inertia starting, discusses the relationship between the length of the three hemodynamic parameters, blood vessels between viscosity. Then, based on the fluid network theory, a body left ten unit coupled simplified model of the cardiovascular system electrical network model, adjust model parameters in accordance with changes of hemodynamic parameters of blood pressure in different periods, output in patients with hypertension early, middle and late the pulse waveform simulation.Combined with optimization algorithms-Artificial bee colony algorithm circuit components after multiple cycles to get optimal solution enables optimization simulation waveforms and pulse waveforms to achieve a good fit after the optimal solution for the characterization of the resulting hemodynamic parameters pulse signal sample contains. Then, the hemodynamic parameters were extracted non-parametric analysis, and through the support vector machine Libsvm build classification model to achieve a normal pulse and patient classification pulse signal simulation hypertension, and achieved certain results. Finally, the use of Matlab GUI platform, built using Matlab language TCM pulse wave signal simulation system.