Remote And Intelligent Diagnosis System Of TCM

As the rhythm of modern society speeding up, more and more people get into sub-health,and the aging population trend is obvious in our country. Chinese Medicine has its good guidance for health-care,specially in the preventive treatment of disease.Traditional Chinese Medicine is our unique cultural treasure, its four basic theoretical system develops in a long history,for it owns good guidance for disease diagnosis. Since our information technology developing fast,and people’s lifestyle towards to the convenient and intelligent, the TCM which is based on doctor’s several years valuable experience has already been unable to adapt to the modern life.Research on the transformation of TCM into digital and intelligent, mainly develops in the domestic Chinese Medicine background research teams at present, but most of them are devoting one aspect of the four basic diagnosis, its work is also relatively simple and poor usability.This thesis focuses on designing a software system about TCM diagnosis theory.The system mainly includes surface of face and tongue diagnosis,pulse diagnosis and interrogation about physical health. In the face and tongue diagnosis module we capture image by a digital cameral,after image preprocessing and segmentation of interesting part of image by Grabcut algorithm,this module begins analysising data and showing its health condition automatically; meanwhile,there is piezoelectric sensor in the pulse module for its simulation of pulse taking by people’s finger pressing and then displaying its waveform; lastly, in the interrogation module,the system uses the form of questionnaire survey to check the physical health condition and provides a health-care guidance, in this module,it also provides elder-version for the elders specifically.The system mainly uses Visual C++ 2010 with configure of Open CV 2.4.8 library,TeeChart DLL,CMake,Intell TBB3.0,and Microsoft SQL Server database.As such a big topic and its tedious code work,the author mainly paid more attention on achieving this software platform. Due to the diagnostic criteria of TCM is unclear and the author’s limited research ability, in the face of tongue diagnosis module and pulse diagnosis module,this system has been unable to accurately diagnose the disease but roughly judge physical condition, in order to achieve better effect of diagnosis, it still needs more sample training by SVM of BP training method.Aboveall,this system still needs further improvement and upgrading.