The Research On The Pulse Diagnosis Technology Of The Traditional Chinese Medicine Robot

Traditional Chinese medicine is a precious medical wealth accumulated during the development of the Chinese nation for thousands of years.Traditional Chinese medicine uses the four diagnostic methods of “seeing,hearing,asking and cutting” as the main diagnostic method.Judgment is based on the personal experience of traditional Chinese medicine practitioners.There is a problem of "it is easy to understand,but difficult to understand".This problem greatly increases the difficulty of pulse diagnosis and hinders the further development of pulse diagnosis to a certain extent.The appearance of the pulse diagnosis instrument describes the subjective pulse condition signals into objective pulse condition parameters,which is conducive to the objectification of the pulse condition.However,most of the existing pulse diagnosis devices are based on computer platforms,and need to take pulses on specific occasions.Portable pulse diagnosis devices are often processed by mobile phones or microcontrollers,which have relatively low processing and storage capabilities.Therefore,this system is designed based on traditional Chinese medicine robots and Cloud server pulse collection and processing system.After studying the requirements for pulse collection in the home and community environment,this paper designs a bioengineering wristband structure that conforms to biotechnology to control the pressure applied when the pulse is taken.The collected information is communicated with the robot through USB.Based on C#,the upper computer program of the robot is written to interact with the lower computer and the cloud server,which mainly includes controlling the pressure control module,displaying the pulse signal in real time and uploading the pulse data to the cloud server through the Internet.The cloud server is mainly responsible for the processing and storage of pulse signals,and can also deliver the results to robots or smart phones.The thesis is based on analyzing the physiological background of pulse wave generation and the characteristic parameters of pulse signal and their significance.The analysis of the fluid dynamics of the blood in the blood vessel theoretically confirms the existence of the optimal pulse pressure.Use wavelet denoising method to filter out high frequency noise on the collected pulse signal,use cubic spline interpolation method to filter out the baseline drift in the signal,and use ILP algorithm to find the characteristic parameters in the time domain and perform auto-arterial image recognition.In order to verify the accuracy of the system and the robustness of use in the home,an experiment was designed to compare the pulse parameters collected by the system and the standard system.The pulse parameters obtained by the two systems were analyzed by t-test and the results showed that there was no significant difference.It proves that the pulse data collected by this system is reliable and applicable to the same platform as the pulse data collected in the hospital.In order to prove the repeatability of the pulse condition data measured by this system,the same pulse condition produced by the continuous pulse condition replay equipment of this system is used.The analysis results prove that the pulse condition data collected by this system has good repeatability.