Intelligent traditional Chinese medicine physique detection system

Abstract

The invention provides an intelligent traditional Chinese medicine physique detection system. The system comprises a respiratory wave sensor, a lung sound sensor, a data processing module, a storage module, a feature matching module, a gas transportation calculation module and an analysis module. The data processing module acquires information of the two sensors to obtain a human respiratory rhythm model; the feature matching module performs feature matching on the human respiratory rhythm model according to a built-in feature library to obtain instant physique state data; the gas transportation calculation module converts the time into five-organ early warning signals; and the analysis module generates a physique monitoring report in combination with the above information. The invention further provides a breathing mask used for eliminating the influence of the external environment and collecting breathing wave signals and lung sound signals. The congenital physique and the current physique are comprehensively considered, and the real health state of the human body is reflected.

Description

technical field [0001] The invention relates to a constitution detection system, in particular to an intelligent TCM constitution detection system. Background technique [0002] Existing physical fitness detection methods usually include questionnaire method, inspection method, pulse diagnosis method, multi-diagnosis combined with reference method, constitution identification instrument and four-symbol method of luck. [0003] The questionnaire method includes filling out paper questionnaires or electronic questionnaires. Such questionnaires are usually a series of questions with fixed options, which are not suitable for everyone and can only give rough judgments. At the same time, the information collected by the questionnaire method is limited to the user's recent situation, and cannot judge the innate constitution. Because the design indicators of the questionnaire are not comprehensive enough, and the ambiguity and subjectivity of users filling in the questionnaire, it ...

AI Technical Summary

Problems solved by technology

[0008] Larger volume: users can only test in specific places such as hospitals, clinics, pharmacies, etc., and cannot test at home

[0009] Convenience is not high: In the era of mobile Internet, users hope to use mobile terminals to detect

[0010] It is greatly affected by environmental factors: the collection of tongue and face images is easily affected by different lighting environments and the background environment, and the analysis is not accurate enough; when the pulse is collected, the user is easily affected by the nervousness caused by the noisy environment; the sound Susceptible to ambient noise while collecting

[0011] Insufficient sharing: users usually get a paper report after testing, but cannot view the report on multiple terminals such as mobile phones, tablets, and PCs, and do not provide an interface to share with other auxiliary diagnostic systems, so the data sharing is not enough

[0012] Not combined with seasons: The current current physical fitness calculation is usually only an inherent algorithm, not combined with the current seasonal solar terms, and the physical status of the human body is also different under different seasonal solar terms, which cannot be stereotyped

Therefore, the current physical fitness measured by the existing detection method is not accurate enough, and there is not much reference value for the user's recuperation under the current season and solar term

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