Multi Channel Acquisition System Of Pulse Based On ARM And Data Analysis

The pulse as traditional Chinese medicine (TCM) clinical diagnosis and physiological study of important physiological phenomenon, is an important basis for cardiovascular disease prevention and early diagnosis.Its spectral characteristics reflect the human cardiovascular physiology and pathology information.The pulse diagnosis as one of the methods of the TCM diagnosis, mainly dependent on the doctor’s subjective judgment and experience. This makes pulse diagnosis lack an objective basis and the flavor of the times. It is necessary to make objective and quantitative analysis on pulse in terms of such aspects a s improving the accuracy of the diagnosis of TCM, revealing formation mechanism for differ ent pulses of human body and further development in promoting pulse diagnosis.Based on the principle of pulse-taking, this topic proposes a novel solution to overcome the inaccurate apply of pulse-taking pressure of the current pulse signal detection system to conduct real-time acquisition of pulse signal in "three regions and nine status" by using the FSS biomechanics sensor and the pressure control module consists of motors and transmission mechanism. Meanwhile, the entire acquisition system take STM32F107VC as the control core and realize the real-time display plus data storage of pulse signal in C#environment on the basis of such peripheral circuits as band-pass filter, multi-level zoom, waveform shaping and communication modules which are designed on the basis of the characteristics of the pulse signal. Following the signal acquisition, aiming at four TCM commom pulses, pulse Classification recognition research is conducted by using such methods as CV-SVM and PSO-SVM on the basis of such processing as Software filtering, cycle split and average waveform extraction and the extraction of Time domain and frequency domain features.As can be seen from experimental results, the entire acquisition system realizes the pulse signal acquisition of parts Cun, Guan, Chi in the states of fu, zhong, chen; In pulse signal analysis, balanced single-cycle signal is obtained on the basis of pretreatment, pulse classification and recognition achieved some accuracy also.