Intelligent ear acupuncture point information acquisition and diagnosis system

Abstract

The invention provides an intelligent ear acupuncture point information acquisition and diagnosis system. The intelligent ear acupuncture point information acquisition and diagnosis system comprises adetection pen and a main machine, wherein the detection pen is used for acquiring inner impedance of ears of a user and generating corresponding feedback data; a software system is configured on themain machine, and comprises a route database, a route selecting module and an execution module; the route database is used for storing the information of a plurality of routes; a screening strategy isconfigured for the route selecting module; the screening strategy is used for screening the information of the assigned route from the information of the routes, and transmitting the information of the assigned route to the execution module; the execution module is connected with a display device; the display device comprises a plurality of display parts; an executing strategy is configured for the execution module; the executing strategy is in response to the feedback data of the detection pen to analyze the received information of the assigned route to obtain a plurality of instruction commands; and the display device is in response to the instruction commands and used for controlling the corresponding displaying parts to work. Through the adoption of the intelligent ear acupuncture point information acquisition and diagnosis system disclosed by the invention, subarea detection of the ear acupuncture point route can be performed, and ear acupuncture point detection route guiding anddetection state is dynamically displayed in real time by the software system.

Description

technical field [0001] The invention relates to the technical field of auricular point detection in traditional Chinese medicine, in particular to an intelligent auricular point information collection and diagnosis system. Background technique [0002] Intra-auricular detection points are the acupoints distributed on the auricle, also called reaction points and stimulation points. When the internal organs or body of the human body are sick, local reactions will often appear in certain parts of the auricle, such as tenderness, nodules, discoloration, electrical conductivity, etc. Utilizing this phenomenon can be used as a reference for diagnosing diseases, or stimulating these reaction points (auricular points) to prevent and treat diseases. The ear is closely related to the viscera and meridians, and each viscera tissue has a corresponding reaction area in the auricle, which stimulates the auricular points and has a certain regulating effect on the corresponding viscera. T...

AI Technical Summary

Problems solved by technology

[0003] Traditional auricular point pens often use signal lights or alarm sounds to indicate the change of auricular point resistance, and the detection accuracy greatly depends on the experience of the operating physician. The human-computer interaction function interface performs targeted auricular point detection, the detection process cannot meet the visual operation, the detection process is not intuitive, the human-computer interaction function is single, and the actual auricular point detection operation cannot be guided according to the auricular point display route, and different detection needs cannot be solved , poorly targeted questions

[0004] On the other hand, the detection pens on the market are often designed as a non-detachable whole in terms of structure. When the detection pen breaks down and cannot be used, the internal parts of the detection pen cannot be repaired and replaced in time, and the broken detection pen can only be thrown away. , resulting in a great waste of resources

In addition, since most of the probes of the probe pen are designed as smooth long needles, the length of the exposed housing becomes shorter as the probe approaches the chamber during use, which easily causes the probe to tilt , which leads to the problem of inaccurate detection

Images