| As the fast development of identify traditional Chinese medicine(TCM) treatment and the visualization in recent years, digital is also become an important development direction. But the the most important of visualization and digital of TCM is the basis of a clear classify standard. Pulse diagnosis is an important content of TCM diagnosis and reference, so the pulse is very rich of human health information implied. Certainly,accurate information of pulse wave is conducive to good decision-making information for diagnosis.At the same time, with the improvement of people’s living standards and our country is entering the aging population, people urgently need a technology, which could real-time supervise of their health, help them to form a good lifestyle and improve treatment effect. So the real-time detection of pulse wave will help people to understand their physical health changes. The development of the Internet of Things make it possible for the whole system to be portable and real-time.This system can description as the intelligent hardware detect the pulse data of users real-time, and uploaded to the cloud server, with the algorithm analysis of the server, users will get the real-time results though the APP;System is mainly composed of sensors, APP and cloud server, the main characters including: users, guardian, doctors and administrators, etc.Typical scenario will show as sensors real-time get users health data and sent to the user mobile terminal by bluetooth communication, mobile through the communication network sent the information to the cloud server, after the analysis of cloud serve, the users would be given the corresponding diagnosis. At the same time, in order to realize the intelligent and humanized service, this system also increased other functions, such as: emergency alarm, remind families and doctors, online diagnosis,electronic fence, call by one key and,ect.In this system the user as the center for the other players.This system it can provide the corresponding function, and complete thecollaboration between the characters.The core of this system algorithm is the using of multi-factor diagnostic methods and traditional Chinese medicine. Definition of each description of pulse condition index quantification, and then collect user pulse wave under the condition of dynamic and static data, using the methods of time domain analysis and wavelet analysis to extract the related parameters of the pulse waveform, combining the methods of principal component analysis and cosine theorem to determine the pulse wave’s kind, and then according to this result and other health information to get the user’s final diagnosis.This method has the adventage of high recognition rate, pulse condition classification comprehensive, multi-factor analysis, etc.This system compared with the existing pulse condition have the progress of miniaturization, intelligent, real-time and other significant advantages. Though verified, this scheme to realize the digitalization and visualization,automation of TCM pulse diagnosis has a certain reference significance. |