Intelligent pre-diagnosis comprehensive platform containing test paper reagent detection

Abstract

The invention discloses an intelligent pre-diagnosis platform containing test paper reagent detection and a use method of the intelligent pre-diagnosis platform. The platform comprises image face recognition, health monitoring bracelet (watch) associated data such as blood pressure and pulse, reagent test paper detection, life habit provided by AI questions and answers, diet and exercise suggestions and medical treatment reminding. The platform utilizes an AI large model to carry out comprehensive analysis on human health conditions, through image recognition and bracelet (watch) detection, in combination with a diagnosis method and a conditioning scheme of observation, lixiviation and interrogation of traditional Chinese medicine, and in combination with a reagent test paper detection result, combined analysis of traditional Chinese medicine and western medicine can be realized, human diseases are preliminarily diagnosed, suggestions are given, and the diagnosis efficiency is improved. Therefore, people can conveniently and better know the physical condition of themselves and carry out adjustment and treatment in time. The platform has the advantages that the platform does not need a precise and expensive air pressure sensor and complex control equipment, the cost for detecting the body health condition of the human body can be greatly reduced, the attention of people to the body health is improved, the complex process of frequently going to a hospital for examination and the expensive cost are avoided, and the working efficiency is improved. People can conveniently detect physical conditions without going out, and meanwhile the problem that hospital examination equipment resources are tense to call is solved.

Description

Technical Field

[0001] The present invention relates to an intelligent pre-diagnosis platform including test strip reagent detection and its usage method, which can be applied to fields such as daily life and medicine. Background Art

[0002] In recent years, health monitoring bracelets (watches) and test reagent strips have received extensive attention and are increasingly used in the fields of biology, medicine, and chemistry due to their simple material facilities, convenient operation, low inspection cost, and the ability to perform tests without leaving home. For the human health monitoring situation, it is crucial to analyze and feedback the monitoring and detection data in a timely manner and give health advice plans. The methods for analyzing and obtaining suggestions from the monitoring and detection data can generally be divided into two categories: online doctor remote Q&A analysis and system-generated reports. Online doctor remote Q&A analysis often involves problems such as multiple payments, untimely responses, high labor costs, lack of doctor resources, and uneven doctor levels. Currently, there are few systems on the market that can independently and directly give a complete report. Although the systems on the market have a certain degree of reliability, the current system technologies can either only roughly analyze according to the user's general description or require the user to wear heavy equipment, which reduces the portability of the system, increases the inspection cost, and is difficult to achieve high precision. Manual intervention in diagnosis and analysis is still required, and it is also limited by the one-question-one-answer form. In order to meet the high requirements of instant and on-site analysis for the intelligence, low cost, convenience, automation, and high efficiency of the health analysis advice platform, and to promote the application of the intelligent pre-diagnosis comprehensive platform in fields such as daily life and medicine, it is urgently necessary to develop an intelligent pre-diagnosis comprehensive platform that is inexpensive, convenient, automatic, efficient, and highly accurate. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent pre-diagnosis comprehensive platform including test strip reagent detection and its usage method. The platform has the advantages of low cost, convenience, high accuracy, etc., and can be applied to the detection of human health conditions.

[0004] The present invention provides an intelligent pre-diagnosis comprehensive platform including test strip reagent detection, which is characterized in that: through image recognition of facial features such as facial luster, color, dryness degree, etc. and the condition of the tongue coating, etc., and combining the basis of traditional Chinese medicine's observation of the face for diagnosis, a preliminary analysis and judgment of the user's physical condition is realized. Through the combined analysis of the data of image recognition of the face and the health monitoring bracelet (watch), and the test results of multiple reagent strips are incorporated into an AI large model trained by a database of traditional Chinese and Western medicine diagnosis bases and conditioning plans to comprehensively analyze the user's health condition and automatically generate corresponding suggestions and plans including diet, living habits, and medical treatment, etc.

[0005] The beneficial effects of the present invention are as follows: Compared with the existing health diagnosis systems, the health analysis suggestions provided by the present invention do not require expensive and cumbersome equipment, which can greatly reduce the cost of health examinations. Moreover, due to the combination of traditional Chinese and Western medicine in the platform analysis, the diagnostic accuracy and convenience are greatly improved, and it is applicable to various application scenarios such as daily life. In short, the intelligent pre-diagnosis integrated platform including test strip reagent detection provided by the present invention can provide relatively comprehensive, accurate and reliable analysis suggestions for the physical health status. Especially, with the reliable results of traditional Chinese medicine's inspection, auscultation and olfaction, interrogation and palpation and test strip reagent detection, it can realize portable detection of physical conditions and be applied to scenarios such as daily life and medicine.

[0006] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection required by the present invention is defined by the appended claims and their equivalents. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] Figure 1 It is a schematic diagram of the principle process of an intelligent pre-diagnosis integrated platform including test strip reagent detection according to the present invention.

[0008] Figure 2 It is a schematic diagram of the detection content of the facial and oral condition recognition system for image recognition according to the present invention.

[0009] Figure 3 It is a schematic diagram of the monitoring data of the health monitoring bracelet (watch) according to the present invention.

[0010] Figure 4 It is a schematic diagram of the test strip reagent detection content according to the present invention.

[0011] Figure 5 It is a schematic diagram of generating suggestions and solutions according to the present invention.

[0012] Figure 6 It is a schematic diagram of the conditioning and rehabilitation feedback mechanism according to the present invention.

[0013] Figure 7 It is a schematic diagram of the full process of the principle of an intelligent pre-diagnosis integrated platform including test strip reagent detection in Embodiment 1 of the present invention.

[0014] Figure 8 It is a schematic diagram of image facial and oral recognition.

[0015] Figure 9 It is a graph of the monitoring data of the bracelet (watch).

[0016] Figure 10It is a schematic diagram of the test results of a urine routine test strip.

[0017] Figure 11 It is a schematic diagram of the test process results of a blood protein iron content detection card.

[0018] Figure 12 It is a schematic diagram of the test results of a Helicobacter pylori test strip.

[0019] Figure 13 It is a schematic diagram of the generation of suggestions and solutions.

[0020] Figure 14 It is a schematic diagram of a feedback mechanism. Specific implementation manners

[0021] The following further illustrates the substantial features and remarkable progress of the present invention in conjunction with embodiments. It should be understood that the embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention.

[0022] Embodiment 1

[0023] A smart pre-diagnosis integrated platform including test strip reagent detection proposed by the present invention is specifically implemented as follows:

[0024] Schematic diagrams of test strip reagent test results, suggestions and solutions, and a feedback mechanism. As Figure 7 shown, the full process of the platform's principle is as follows: First, upload the facial and oral condition recognition data, the monitoring data of a health monitoring bracelet (watch), and the test results of test strip reagents to the platform cloud. The AI large model aggregates the above data and combines the traditional Chinese and Western medicine diagnosis basis database to diagnose the user's health condition, and then generates a report to give a suggested solution. After the user adjusts according to the suggestions for a period of time, the physical condition is detected again and the data is uploaded. The platform compares and analyzes the data before and after the adjustment through the feedback mechanism and regenerates a suggested report. As Figure 8 shown, the image facial and oral recognition includes the recognition of the human facial state (such as complexion, facial luster, facial local features including pimples, etc.) and the oral state (such as tongue coating condition and local features including oral blisters, etc.). As Figure 9 shown, the health monitoring watch (bracelet) can monitor data such as heart rate, pulse, blood pressure, and sleep condition. As Figure 10 shown, for the urine routine test strip test, the urine is tested with a test strip, and the test result is compared with a color comparison card. The left area of the red strip is where the indicators are normal. As Figure 11As shown, for the detection of the content of iron-containing blood protein, one drop (about 20 μL) of the whole blood sample of the tested person collected with a plastic pipette is dropped into the S hole, and then 1 - 2 drops (50 - 80 μL) of sample diluent are added to the B hole. The ferritin content is measured by colorimetry using a color comparison card within 15 - 20 minutes. If the detected ferritin content in the sample is less than or equal to 20 ng / ml, it indicates that the iron storage in the tested person's body may be insufficient; if it is greater than 20 ng / mL, it indicates that the iron storage in the tested person's body may be normal. From Figure 12 As shown, for the detection of Helicobacter pylori, compare the test paper detection color of Helicobacter pylori with the color comparison card. The result shown in the left figure is negative, and the result shown in the right figure is positive. From Figure 13 As shown, the suggestions given by the platform include an ingredient pack that provides suggestions on diet and ingredients, an exercise pack that provides suggestions on exercise methods, daily exercise duration, and exercise volume, lifestyle suggestions represented by drinking water suggestions and sleep duration suggestions, and medical advice. The platform summarizes the above suggestions to form a report on the suggestion plan. From Figure 14 As shown, the conditioning and rehabilitation feedback mechanism compares the data of the user's health monitoring bracelet (watch), the recognition data of the facial and oral conditions, and the comparison of the test results of the test paper and reagent before and after conditioning, and uploads them to the platform cloud. The large model diagnoses the user's health condition again.

Claims

1. An intelligent pre-diagnosis integrated platform including test strip reagent detection, characterized by: The platform includes image facial and oral recognition, health monitoring bracelet (watch) related data, reagent test paper detection, AI Q&A to provide living habits, dietary advice and medical reminders, and uses bracelet (watch) and facial and oral data combined with traditional Chinese medicine diagnosis methods and combined with reagent test paper test results to realize the combination of Chinese and Western medicine to diagnose the health status of the human body and provide relevant suggestions.

2. The intelligent pre-diagnosis integrated platform including test strip reagent detection according to claim 1, characterized in that: The platform can be in the form of a website, mini program, app, etc.

3. The intelligent pre-diagnosis integrated platform including test strip reagent detection according to claim 1, characterized in that: The image recognition technology can be used to identify and detect facial color, gloss, dryness, local features, etc., or it can be used to detect and analyze oral conditions including tongue diagnosis of features such as tongue coating and local features of the oral cavity.

4. The intelligent pre-diagnosis integrated platform including test strip reagent detection according to claim 1, characterized in that: The health monitoring bracelet (watch) data includes blood pressure, pulse, heart rate, sleep status, etc.

5. The intelligent pre-diagnosis integrated platform comprising test strip reagent detection according to claim 1, characterized in that: The reagent test strips include a variety of reagent test strips. The test strip reagents can be Helicobacter pylori test strips, ferritin test card test reagents, etc., trace element test strips, influenza A and B test strips, HIV, hepatitis C, syphilis, hepatitis B and other infectious diseases test strips, uric acid, urine routine test strips, etc.

6. The intelligent pre-diagnosis integrated platform including test strip reagent detection according to claim 1, characterized in that: The AI ​​question and answer method uses traditional Chinese and Western medicine diagnosis methods and other bases and conditioning and medical treatment plans to train a large model. The trained AI analyzes and diagnoses all the above-mentioned test data and test result sets and gives suggestions.

7. The method for using the intelligent pre-diagnosis integrated platform including test strip reagent detection according to claim 1 comprises the following steps: (1) Users log in to the platform and register and bind their personal information (2) The user wears a health monitoring bracelet (watch): the monitoring data will be transmitted to the platform cloud in real time for recording. (3) Facial and oral diagnosis: The user enters the platform and logs in, then clicks "Face and oral diagnosis". The user's facial and oral information is analyzed using image recognition technology and transmitted to the cloud. (4) After the user uses the test strips for testing, he / she enters the test results into the platform, and the platform uploads the results for analysis to the cloud. (5) The platform integrates cloud records with traditional Chinese and Western medical diagnosis to analyze users’ potential health problems such as diseases and make recommendations. (6) The feedback mechanism compares the user's health status data before and after accepting the platform's recommendations, uploads it to the cloud to analyze the user's health status, and generates a recommendation report again. The above steps 2-5 are in parallel relationship, with no order requirement, and are not necessarily indispensable. They can include all or be a combination of one or more data.

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