Nutrition / health condition analysis system using urine test kit
Patent Information
- Application Number
- JP2023149431
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-09-14
- Publication Date
- 2025-03-27
- Estimated Expiration
- 2043-09-14
Smart Images

Figure 2025042422000001_ABST
Abstract
Description
[Technical field]
[0001] The present invention relates to a nutritional and health status analysis system using a urine test kit. [Background technology]
[0002] In recent years, with the rise in health consciousness, the number of people taking health foods and supplements is increasing. In order for users to select health foods that suit them, it is important to accurately understand their own nutritional and health conditions. Bodily fluids such as blood and urine can be used to understand one's own body condition, that is, the presence or absence of illness and the nutritional and health conditions of the body. However, in order for users to know their own nutritional and health conditions, it is necessary to use special and expensive testing equipment for blood and urine tests, and these are not easily available to everyone, as they have to be tested at a hospital or the like.
[0003] A urine testing system using spot urine has been proposed as a system that allows anyone to easily use a urine test (see Patent Document 1). This urine testing system aims to make urine testing more convenient for users, and uses a system in which a client terminal on the user's side and a server on the service provider's side are connected via a network to send and receive data, and the server evaluates and judges urine components and outputs the result data of the evaluation and judgment. [Prior art documents] [Patent documents]
[0004] [Patent Document 1] Patent No. 7281856 Summary of the Invention [Problem to be solved by the invention]
[0005] However, the above-mentioned technology requires that the evaluation results be sent and received between the server and the client terminal, which takes time, and the evaluation cannot be performed offline. There is a risk of information leakage by sending personal information to the server, and the evaluation and judgment operations are complicated.
[0006] In view of the above circumstances, an object of the present invention is to provide a nutritional and health condition analysis system that enables a user to easily and quickly know his / her own nutritional and health condition offline. [Means for solving the problem]
[0007] In order to solve the above problems, the present invention provides: A system including a client terminal, The client terminal includes: a urine test kit color data input means for inputting color data of the urine test kit into which the user's collected urine has been immersed; A question data input means for inputting question data regarding the user's physical condition within one week from the date of urine collection; A urine test kit color data analysis means for analyzing the color data of the urine test kit; A question data analysis means for analyzing the question data; i) Basic information about the user, including gender, age, and registration information, including lifestyle habits and medical history; ii) Analysis results of the user's past question data and urine test kit color data A nutritional and health condition evaluation means for evaluating the nutritional and health condition of the user by machine learning based on pre-registered nutritional and health condition information of other users similar to the user that has already been obtained by other means than testing using the urine test kit; The present invention relates to a nutritional and health status analysis system comprising:
[0008] The client terminal further comprises: ii) An internal algorithm means having a data transmission / reception means for receiving the machine learning analysis results and data. Effect of the Invention
[0009] According to the system of the present invention, a user can use a urine test kit to test urine collected by the user himself, distinguish the components in the urine by color, and perform nutritional and health evaluation by machine learning on the client terminal owned by the user based on the color information of other users' basic information including gender and age, pre-registered information including lifestyle habits and medical history, and pre-registered nutritional and health condition information. In other words, there is no need to send and receive data between the server and the client terminal to obtain the evaluation results, and nutritional and health condition analysis can be performed offline. As a result, the risk of information leakage caused by sending personal information to the server can be reduced.
[0010] In addition, if necessary, the client terminal may further include an internal algorithm means having a data transmission / reception means for receiving the machine-learned analysis results and data of ii), which allows the analysis results and data to be subjected to the above-mentioned machine learning to be updated and renewed, enabling more accurate offline evaluation of nutritional and health conditions. [Brief description of the drawings]
[0011] [Figure 1] FIG. 1 is a functional block diagram of the nutritional / health condition analysis system of the present invention. [Diagram 2] 1 is a schematic flow diagram of the nutritional / health status analysis system of the present invention. [Diagram 3] FIG. 1 is a schematic diagram of a test kit. [Figure 4] FIG. 13 is a screen display image for inputting question data. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0012] Hereinafter, an example of an embodiment of the present invention will be described in detail with reference to the drawings. 1 is a functional block diagram of a nutritional and health condition analysis system according to an embodiment of the present invention. As shown in FIG. 1, the nutritional and health condition analysis system 100 includes a client terminal 10.
[0013] The client terminal 10 comprises a urine test kit color data input means 11, a question data input means 13, a urine test kit color data analysis means 14, a question data analysis means 15, a nutritional / health condition evaluation means 16 and a data transmission / reception means 17.
[0014] The urine test kit color data input means 11 is used to input color data of the urine test kit soaked in collected urine, and the question data input means 13 is used to input question data regarding physical condition within one week from the date of urine collection.
[0015] The urine test kit color data analysis means 14 analyzes the color data of the urine test kit, and the question data analysis means 15 analyzes the question data.
[0016] The nutritional / health condition evaluation means 16 evaluates the nutritional / health condition of the user based on the analysis results obtained by the urine test kit color data analysis means 14 and the question data analysis means 15, respectively, and on the user information described below. The nutritional / health condition evaluation means 16 is equipped with machine learning means, and is capable of learning the analysis results and the user information to evaluate the nutritional / health condition with higher accuracy.
[0017] In addition, the data transmission / reception means 17 receives, for example, machine learning analysis results and data stored in a user information storage means of a server (not shown) described below from the server (not shown), and processes the data using an internal algorithm.
[0018] This connection is only required at the beginning of the operation, and after that, the nutritional and health state can be analyzed based on the received information by the machine learning of the nutritional and health state evaluation means 16. Therefore, the server can be offline, and the nutritional and health evaluation can be performed only by the client terminal 10. However, as time passes, the above pre-registered information and nutritional and health state information become outdated, and the analysis accuracy by the machine learning of the nutritional and health state evaluation means 16 may decrease. In this case, for example, the client terminal 10 and the server can be made online as appropriate, and the analysis results and data obtained by machine learning can be updated and renewed by the internal algorithm means of the client terminal 10 having the data transmission and reception means for receiving the machine learning analysis results and data of ii), thereby improving the analysis accuracy.
[0019] The server includes a user information storage means and a server-side data transmission / reception means.
[0020] The user information storage means stores user information.
[0021] The user information stored in the user information storage means includes basic information about other users, including gender and age, as well as pre-registered information including lifestyle habits and medical history, and pre-registered nutritional and health status information of other users that has already been obtained through means other than testing using the urine test kit.
[0022] Next, a usage flow of the nutritional and health state analysis system of the embodiment will be described with reference to the drawing. Fig. 2 shows a schematic flow diagram of the nutritional and health state analysis system of the present embodiment.
[0023] 2, first, the user checks whether the client terminal 10 has the latest analytical engine (S1). If the analytical engine is the latest, the user logs in to the client terminal 10 (S2). If the analytical engine is not the latest, the user appropriately accesses a server (not shown) (S11), downloads the latest analytical engine (S12), and then logs in to the client terminal 10 (S2).
[0024] Next, a tutorial is given to the user on how to use the client terminal 10, i.e., the nutritional and health status analysis system 100 (S3), and then urine is directly applied to the test kit to check the color of the test kit caused by applying the urine (S4). FIG. 3 is a schematic diagram of the test kit used in this embodiment. As shown in FIG. 3, the test kit 20 of this embodiment has a plurality of rectangular reaction sites 21, 22 that react with components in urine to develop a color, and these reaction sites include four color check sites 21 and four black sites 22 with different surrounding brightness. In order to reduce the influence of light as much as possible, the four color check sites 21 are arranged as far away as possible from the test kit 20, so that the color check sites 21 are less likely to be simultaneously affected by the same light source, and even if one site has an incorrect brightness due to external light, the other sites 21 can reduce the influence.
[0025] Next, the questions are answered using the question data input means 13 included in the client terminal 10 (S5). FIG. 4 shows a screen display image diagram for inputting question data. As shown in FIG. 4, symptom selection fields (7a to 7c) and a button 6d are displayed on the display 1. Specifically, a symptom selection field 7a for inputting the "most worrisome symptom," a symptom selection field 7b for inputting the "second most worrisome symptom," and a symptom selection field 7c for inputting the "third most worrisome symptom" are displayed. The user selects each symptom selection field (7a to 7c), and then selects an item that is suitable for the user from among the items that appear (not shown).
[0026] Here, only three symptom selection fields are displayed, but there may be four or more, or two or less. Also, the user does not necessarily have to answer all of the symptom selection fields provided, and may, for example, only input information into the symptom selection field 7a.
[0027] The questions are not limited to "symptoms of concern" and may include questions about the user's weight, blood pressure, pulse rate, etc. The input method is not limited to a method of selecting from items prepared in advance and may include, for example, a method of answering in free text.
[0028] After the user selects the item that is appropriate for each symptom selection field (7a to 7c), the user taps the button 6d labeled “Next.” The client terminal 10 then uses the question data analysis means 15 to analyze the question data.
[0029] After input of the question data is completed, the test kit 20 is photographed (S6) using a camera (not shown) installed in the client terminal 10, and image analysis is performed (S7). The image analysis is performed based on the brightness and chromaticity information of the four colors 21 of the color check and the black color 22 around the pad. At this time, the client terminal 10 checks whether the photographing was performed satisfactorily. If the photographed data photographed by the camera means installed in the client terminal 10 cannot be analyzed, the urine test kit color data input means 11 automatically photographs again using the camera means.
[0030] It is also possible to take an image of the reaction site of a urine test kit (test kit) that has developed a color due to the collected urine using a camera, correct the color image of the reaction site based on a color sample kit, and return the corrected color image to the client terminal. At this time, if the image cannot be captured satisfactorily due to a shadow or the like, an image quality check is performed, such as discarding the image (S8).
[0031] After analyzing the question data and the test kit 20, the client terminal 10 evaluates the user's nutritional and health condition offline by machine learning using the nutritional and health condition evaluation means 16 (S9 and 10). Specifically, the nutritional and health condition of the user is evaluated by machine learning based on pre-registered nutritional and health condition information already obtained by other users' tests using test kits that are similar to the analysis results of the user's past question data and urine test kit color data. At this time, the client terminal 10 accesses a server (not shown) as appropriate using the data transmission / reception means 17 that transmits and receives the machine-learned analysis results and data (S91), receives the above analysis results and data from the server, and performs image analysis (S92 and 93) using an internal algorithm to improve the analysis accuracy.
[0032] The client terminal 10 displays the evaluated nutritional and health data on the display 1 (step S11).
[0033] After the nutritional and health data is displayed on the display 1, the display 1 of the client terminal 10 transitions to the home screen (S12), and the user logs out, thereby terminating the nutritional and health status evaluation on the client terminal 10 (S13).
[0034] As described above, using the test kit 20, the user can test urine that he or she has collected himself or herself, determine the mineral content in the urine by color, and evaluate the color information on the client terminal 10 itself, so that the user's nutritional and health condition can be quickly understood. As the client terminal 10, a PC, smartphone, tablet terminal, etc. can be used. This allows the user to easily use the nutritional and health condition analysis system.
[0035] In addition, by the client terminal 10 further comprising a question data input means 13 and a question data analysis means 15 regarding the user's physical condition within one week from the date of urine collection, it becomes possible to evaluate the nutritional and health status taking into account changes in physical condition and symptoms recognized by the user himself on the date of urine collection and on dates close to this date.
[0036] As a result, it is possible to provide a nutritional / health condition analysis system 100 that enables a user to easily and quickly learn about his / her own nutritional / health condition.
[0037] In view of the above-described embodiments, the present application also includes the following inventions. [1] A system including a client terminal, The client terminal includes: a urine test kit color data input means for inputting color data of the urine test kit into which the user's collected urine has been immersed; A question data input means for inputting question data regarding the user's physical condition within one week from the date of urine collection; A urine test kit color data analysis means for analyzing the color data of the urine test kit; A question data analysis means for analyzing the question data; i) Basic information about the user, including gender, age, and registration information, including lifestyle habits and medical history; ii) Analysis results of the user's past question data and urine test kit color data A nutritional and health condition evaluation means for evaluating the nutritional and health condition of the user by machine learning based on pre-registered nutritional and health condition information of other users similar to the user that has already been obtained by other means than testing using the urine test kit; A nutritional and health status analysis system comprising: [2] The client terminal further comprises: The nutritional and health status analysis system described in [1], characterized in that it is equipped with an internal algorithm means having a data transmission and reception means for receiving the machine learning analysis results and data of ii). [3] The nutritional and health status analysis system described in [1] or [2], wherein the urine test kit reacts with components in urine to produce a color, the color intensity varying depending on the concentration of the components. [4] The nutritional and health status analysis system described in any of [1] to [3], characterized in that the urine test kit color data input means captures an image of the reaction site of the urine test kit that has developed a color due to the collected urine using a camera means mounted on the client terminal, corrects the color image of the reaction site based on a color sample, and returns the corrected color image to the client terminal. [5] The nutritional and health status analysis system described in any of [1] to [4], characterized in that the urine test kit color data input means automatically re-takes images using the camera means mounted on the client terminal when the captured data cannot be analyzed. [6] A nutritional and health status analysis system according to any one of [1] to [5], characterized in that it does not depend on an online environment.
[0038] Although several embodiments of the present invention have been described above, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and spirit of the invention, and are included in the scope of the invention and its equivalents described in the claims. [Explanation of symbols]
[0039] 1 Display 10 Client Terminal 11 Urine test kit color data input means 13. Question data input method 14 Urine test kit color data analysis method 15. Questionnaire data analysis methods 16 Nutrition and health status assessment tools 17 Data transmission and reception means 20 Test Kits 21, 22 Reaction site 100 Nutrition and health status analysis system
Claims
1. A system including a client terminal, The client terminal includes: a urine test kit color data input means for inputting color data of the urine test kit into which the user's collected urine has been immersed; A question data input means for inputting question data regarding the user's physical condition within one week from the date of urine collection; A urine test kit color data analysis means for analyzing the color data of the urine test kit; A question data analysis means for analyzing the question data; i) Basic information about the user, including gender, age, and registration information, including lifestyle habits and medical history; ii) Analysis results of the user's past question data and urine test kit color data A nutritional and health condition evaluation means for evaluating the nutritional and health condition of the user by machine learning based on pre-registered nutritional and health condition information of other users similar to the user, which information has already been obtained by other means than the test using the urine test kit; A nutritional and health status analysis system comprising:
2. The client terminal further comprises: The nutritional and health status analysis system according to claim 1, further comprising an internal algorithm means having a data transmission / reception means for receiving the machine learning analysis results and data of ii).
3. 2. The nutritional and health status analysis system according to claim 1, wherein the urine test kit reacts with a component in urine to produce a color, the color intensity of which varies depending on the concentration of the component.
4. The nutritional and health status analysis system according to claim 1, characterized in that the urine test kit color data input means captures an image of a reaction site of the urine test kit that has developed a color due to the collected urine using a camera means mounted on the client terminal, corrects the color image of the reaction site based on a color sample, and returns the corrected color image to the client terminal.
5. The nutritional and health status analysis system according to claim 4, characterized in that the urine test kit color data input means automatically re-takes an image using the camera means mounted on the client terminal when the photographed data taken by the camera means cannot be analyzed.
6. 2. The nutritional and health condition analysis system according to claim 1, which does not depend on an online environment.
Citation Information
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