Intelligent health analysis system for traditional Chinese medicine based on cloud computing and mobile platform

Abstract

The invention provides an intelligent health analysis system for traditional Chinese medicine based on cloud computing and a mobile platform. The intelligent health analysis system is characterized inthat a portable automatic inflation pulse pressure-intensity measuring annular wristband terminal is adopted as an intelligent pressure-intensity pulse-diagnosis wristband terminal to collect pulse condition data of a user; an intelligent health analysis device of the traditional Chinese medicine based on the mobile platform receives the pulse condition data, a face image, a tongue image and a sound signal sent out by the user, and the pulse condition data, the face image, the tongue image and the sound signal are sent to a cloud server system based on cloud computing and big data; and the cloud server system based on cloud computing and the big data is used for analysis, audio and video data are analyzed through an intelligent neural network technology, and obtained analysis results serve as examination data to be recorded into a health database of the user and meanwhile fed back to the intelligent health analysis device for the traditional Chinese medicine based on the mobile platform. The mobile Internet and a modern signal detection and analysis method are adopted for comprehensive processing and analyzing to realize syndrome differentiation and comprehensive consideration.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to an intelligent health analysis system for traditional Chinese medicine based on cloud computing and a mobile platform. Background technique [0002] The development of intelligent TCM health analysis equipment is of great significance for the digitalization of TCM and the realization of TCM intelligent health analysis. The existing health analysis process is operated by a single doctor, which is highly subjective and arbitrary, and there is currently no objective standard, which seriously affects the modern standardization of traditional Chinese medicine and the research on biomedical mechanisms. If objective inspection indicators can be used to replace the content of traditional methods, instead of relying on doctors to distinguish subjectively, it will improve the accuracy of TCM syndrome differentiation, improve the curative effect of treatment, and benefit TCM scienti...

AI Technical Summary

Problems solved by technology

[0003] Problems existing in the prior art: making pulse diagnosis gradually quantitative and standardized, and used to guide clinical work, there are still many deficiencies in view of the current situation:

[0004] 1) There are few modern sensitivity studies, feature extraction and identification methods are not uniform, and the relationship between feature parameters and the essence of the four diagnostic methods of traditional Chinese medicine has not been deeply explored, and the detection of many indicators will increase the economic burden of patients, making it difficult to promote clinically

[0005] 2) Not closely integrated with clinical practice, limited to small-sample research, it is difficult to provide valuable reference for clinical diagnosis and treatment

[0006] (3) The extraction of various parameters in the application of traditional Chinese medicine is single. At present, there is no mobile intelligent traditional Chinese medicine health analysis system with four diagnostic functions and comprehensive diagnosis, and it cannot fully reflect all the characteristics of the pulse condition, but only grasps a few key parameters.

The computing power of the equipment is poor, which cannot meet the requirements of analyzing and judging a large amount of data such as images, but cloud computing can solve these problems; the system application is mostly used in a certain hospital or research institution, and cannot collect a large amount of case data, and is limited to small samples It is difficult to provide a valuable reference for clinical diagnosis and treatment

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