Terahertz wave-based skin health detection system and detection method

Abstract

The invention belongs to the technical field of crossing of terahertz technology and medicine, and particularly discloses a skin health detection system and method based on terahertz waves, and the system comprises a scanning assembly, a data processing assembly, a storage assembly, an output display assembly and a skin health management assembly. The method comprises the steps of scanning, imaging and homogeneity analysis, normal area analysis, lesion area analysis and health assessment output. According to the invention, the terahertz technology is utilized, so that the evaluation of the skin health condition and the skin type can be completed under the non-invasive condition; the terahertz technology is utilized, various physiological indexes of the skin can be accurately measured, the problems that existing evaluation is high in subjectivity and accurate quantification cannot be achieved are solved, and objective evaluation on the skin health condition is achieved; by means of the terahertz technology, the effectiveness degree of the skin care product can be quantified so that a user can adjust a skin health maintenance scheme.

Description

Technical Field

[0001] The present invention relates to the field of terahertz technology and medical intersection technology, and in particular to a skin health detection system and detection method based on terahertz waves. Background Art

[0002] As an important barrier on the human body surface, the skin can effectively protect the organs and tissues in the body from the invasion of harmful external factors, and can also prevent the loss of water, electrolytes and nutrients in the body. Therefore, the monitoring and maintenance of skin health is of great significance to the overall health of an individual. However, most of the current skin health detection methods rely on visual judgment and personal experience. Such subjective methods are not only less accurate, but also difficult to achieve a scientific and quantitative assessment of skin health status.

[0003] In recent years, although emerging technologies such as infrared imaging technology and optical coherence tomography have been gradually applied to the field of skin monitoring and have improved detection capabilities to a certain extent, the sensitivity, accuracy, and application flexibility of these technologies are still insufficient, and the high cost and complex application environment also limit their widespread application. These limitations of existing technologies still make the scientific assessment of skin health face challenges.

[0004] With the rapid development of terahertz technology, its application in the medical field is becoming more and more extensive, and it has gradually become a hot spot in skin research. Terahertz waves are electromagnetic waves with a frequency between 0.1 and 10 THz and a wavelength between 3 and 30 microns. Terahertz radiation has extremely low photon energy and is safe for the human body under low-power conditions. It is highly sensitive to polar molecules and is especially strongly absorbed by water molecules. This characteristic makes terahertz waves only able to penetrate tens to hundreds of microns of tissue, which just fits the superficial structural characteristics of skin tissue, making it an ideal tool for studying skin health.

[0005] At present, terahertz technology has been widely used in the detection of skin diseases such as skin cancer and burns, showing good application prospects. However, in terms of daily monitoring and guidance of skin health, systems based on terahertz technology have not been fully developed and applied. Therefore, an innovative method based on terahertz technology is urgently needed to achieve accurate detection of skin physiological indicators and scientific evaluation of skin health, so as to meet the market demand for high-precision skin health detection and management.

[0006] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present invention, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0007] The purpose of the present invention is to solve the technical problems existing in the background technology. To this end, a skin health detection system and detection method based on terahertz waves are provided.

[0008] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0009] A skin health detection system based on terahertz waves, comprising:

[0010] A scanning component is used to scan the skin surface, capture the reflection information of the terahertz wave on the skin in real time, and generate terahertz skin images and spectrum information;

[0011] A data processing component is used to receive the terahertz skin image and spectrum information sent by the scanning component, calculate and extract the characteristic parameters of the skin, and thus generate skin health analysis results;

[0012] A storage component for storing terahertz skin images, spectral information and skin health analysis results to form a database for before-and-after comparative analysis of multiple tests;

[0013] The output display component is used to display terahertz skin images, skin characteristic parameters, comparison analysis results with standard reference values, and skin health analysis results.

[0014] The following is a technical solution further defined by the system in the present invention. The data processing component analyzes the terahertz skin image and spectral information, extracts the characteristic parameters of the skin, including moisture content, oil content, collagen, hemoglobin, and melanin, and calls the healthy skin reference values ​​in the database for comparison and analysis.

[0015] The following is a technical solution further defined by the system in the present invention, wherein the data processing component includes a signal processing unit and a computing unit;

[0016] The output end of the scanning component is electrically connected to the input end of the signal processing unit, and the output end of the signal processing unit is electrically connected to the input end of the calculation unit, so that the collected terahertz signal is transmitted to the calculation unit through the signal processing unit;

[0017] The output end of the computing unit is electrically connected to the input end of the storage component. The computing unit analyzes the signal and extracts characteristic parameters, and then compares the data with the healthy skin database in the storage component to obtain the skin health analysis result.

[0018] The output end of the calculation unit is electrically connected to the input end of the output display component, so that the skin health analysis result is displayed through the output display component, and a skin health detection report is formed in the output display component, including detection values ​​and skin care suggestions.

[0019] The following is a technical solution further defined by the system in the present invention. The system is electrically connected to a remote external device to achieve remote monitoring and remote data storage functions.

[0020] The following is a technical solution further defined by the system in the present invention, which also includes a skin health management component for generating a personalized skin care guidance plan.

[0021] A skin health detection method based on the above skin health detection system comprises the following steps:

[0022] Step S1: Scanning the skin area to be tested by means of a scanning component to obtain terahertz wave reflection imaging and spectrum information. The terahertz wave reflection imaging displays the skin surface results and moisture distribution;

[0023] Step S2: Analyze the scanned terahertz imaging data through the data processing component to determine whether there are bright areas or dark areas on the skin, and then evaluate the uniformity of the skin;

[0024] If there are no light or dark areas in the image, it means the skin surface is uniform;

[0025] If there are light or dark areas in the image, it means there are abnormal areas of skin;

[0026] Step S3: For skin in normal areas, spectral analysis is performed, and the data processing component extracts skin parameters from the terahertz spectrum, including skin moisture, oil, collagen, and hemoglobin. The extracted parameters are compared with healthy skin data in a standard skin database to evaluate the health status of the skin;

[0027] Step S4: For the skin in the abnormal area, perform spectral analysis and use specific wavebands to determine the type of lesion:

[0028] If the terahertz absorption peak in the abnormal area is higher than that in the normal area, it indicates inflammation or allergy;

[0029] If the terahertz absorption peak in the abnormal area is lower than that in the normal area, it indicates skin aging or pigmentation;

[0030] Step S5: Generate a skin health detection report through the output display component, the report includes a comparison between the actual measured values ​​of the skin parameters and the reference values, and an analysis of the lesion types of the abnormal areas.

[0031] The following is a technical solution further defined by the method of the present invention, which obtains skin parameters including moisture, oil, collagen, hemoglobin, and melanin based on terahertz skin images, spectral information, and skin health analysis results;

[0032] The acquired skin parameters are used to evaluate the skin's basic metabolic status and skin type, including:

[0033] Moisture and oil content: used to determine skin type;

[0034] Collagen concentration: used to assess skin elasticity and aging;

[0035] Hemoglobin concentration: used to determine the blood flow to the skin and detect inflammation or allergic reactions;

[0036] Melanin content: used to assess skin color and the presence of pigmentation;

[0037] Based on the acquired skin type and skin health status, the system automatically pops up the corresponding skin care product type;

[0038] The user selects the corresponding skin care product, places an order and jumps to the payment interface.

[0039] The following is a technical solution further defined by the method of the present invention: when the moisture content is between 10% and 20% and the oil content is between 3.5% and 6%, it is neutral skin; when the moisture content is lower than 10% and the oil content is lower than 3.5%, it is dry skin; when the moisture content is between 10% and 20% and the oil content is higher than 6%, it is oily skin; when the T-zone of the face is oily and the cheeks are dry or neutral, it is mixed skin.

[0040] The following is a technical solution further defined by the method of the present invention. After the user uses the skin care product recommended by the system, the user performs a skin health test again. By using a specific terahertz frequency, the effect of the skin care product is quantified through the change in the absorption coefficient, and the skin improvement degree is calculated: [A(A)-A(B)] / A(B)*100%, wherein A(A) is the absorption coefficient after using the skin care product, and A(B) is the absorption coefficient before using the skin care product.

[0041] The following is a technical solution further defined by the method of the present invention, which generates a personalized skin care guidance plan based on skin type, skin health condition and skin improvement after using skin care products.

[0042] Compared with the prior art, the present invention has the following technical effects:

[0043] The present invention proposes a skin health detection system and detection method based on terahertz waves. By using terahertz technology, the skin health status and skin type can be evaluated under non-invasive conditions; by using terahertz technology, various physiological indicators of the skin can be accurately measured, so as to solve the problem that the existing evaluation is highly subjective and cannot be accurately quantified, and an objective evaluation of the skin health status can be achieved; by using terahertz technology, the effectiveness of skin care products can be quantified so that users can adjust their skin health maintenance plans; by using terahertz technology, the operation is simple, and only scanning on the skin is required, and the evaluation of the skin health status and the effectiveness of skin care products can be completed through a data processing component.

[0044] The present invention is further described below in conjunction with the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 It is a schematic diagram of the method flow of skin health detection of the present invention;

[0047] Figure 2 is a schematic flow chart of the method for skin health management of the present invention;

[0048] Figure 3 This is a terahertz spectrum curve of the hand before and after using hand cream and water. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0050] In view of the limitations of existing skin health detection technologies, especially the deficiencies of existing technologies in accurately quantifying skin physiological indicators, and the defects that detection results are easily affected by subjective judgment and lack objective and scientific evaluation, the present invention proposes a skin health detection system and detection method based on terahertz waves, aiming to achieve non-invasive and accurate skin health detection through advanced terahertz imaging and spectral analysis technology, and provide skin health management guidance programs based on data analysis.

[0051] This embodiment provides a skin health detection system based on terahertz waves, which aims to achieve non-invasive detection and scientific evaluation of skin health conditions, covering physiological indicators such as skin moisture, oil, collagen, hemoglobin and melanin, supplemented by personalized skin care guidance.

[0052] The terahertz wave-based skin health detection system consists of the following main components:

[0053] Scanning component: This component is based on terahertz band technology and is used to scan the skin surface and obtain terahertz imaging and spectral information. The scanning component can capture the reflection information of terahertz waves on the skin in real time and generate high-resolution terahertz skin images and spectral information.

[0054] Data processing component: used to receive the terahertz skin image and spectral information sent by the scanning component, calculate and extract the characteristic parameters of the skin, and thus generate skin health analysis results. The data processing component includes a signal processing unit and a calculation unit, which can analyze the terahertz data and output physiological indicators such as moisture content, oil content, collagen, hemoglobin, and melanin. The data processing component can also call the healthy skin reference value in the terahertz standard database for comparison and analysis.

[0055] Storage component: used to save the terahertz skin images, spectral information and skin health analysis results obtained by scanning. At the same time, the storage component can also store the user's historical data to form a database to facilitate comparative analysis of multiple test results.

[0056] Output display component: used to display processing results, including terahertz skin images, skin characteristic parameters, comparison analysis results with standard reference values, and skin health analysis results. Users can obtain detailed skin health test reports through the output display component.

[0057] Skin health management component: used to generate personalized skin care guidance plans.

[0058] Therefore, the output end of the scanning component is electrically connected to the input end of the signal processing unit, and the output end of the signal processing unit is electrically connected to the input end of the calculation unit, so that the collected terahertz signal is transmitted to the calculation unit through the signal processing unit. The output end of the calculation unit is electrically connected to the input end of the storage component, and the calculation unit analyzes the signal and extracts characteristic parameters, and then compares the data with the healthy skin database in the storage component to obtain the skin health analysis result. The output end of the calculation unit is electrically connected to the input end of the output display component, so that the skin health analysis result is displayed through the output display component, and a skin health detection report is formed in the output display component, including the detection value and skin care suggestions.

[0059] The system is also electrically connected to remote external devices to achieve remote monitoring and remote data storage functions, thereby meeting the user's continuous skin health management needs.

[0060] like Figure 1 As shown, this embodiment provides a skin health detection method based on terahertz waves, which specifically includes the following steps:

[0061] Scanning steps: Scan the skin area to be tested through the scanning component to obtain terahertz wave reflection imaging and spectral information. The terahertz wave reflection imaging displays the skin surface results and moisture distribution information.

[0062] Imaging and uniformity analysis steps: The scanned terahertz imaging data is analyzed by the data processing component to determine whether there are bright or dark areas on the skin, and then the uniformity of the skin is evaluated. If there are no bright or dark areas in the image, it means that the skin surface is uniform; if there are bright or dark areas in the image, it means that there are abnormal areas on the skin, such as inflammation or allergic reactions.

[0063] Normal area analysis steps: For the skin in the normal area, spectral analysis is performed. The data processing component extracts the skin's moisture, oil, collagen, hemoglobin and other physiological parameters from the terahertz spectrum. The extracted parameters are compared with the healthy skin data in the standard skin database to further evaluate the health status of the skin.

[0064] Steps for analyzing the lesion area: For the skin in the abnormal area, spectral analysis is performed, and the type of lesion is determined using specific bands (such as the terahertz band that is sensitive to moisture): If the terahertz absorption peak value of the abnormal area (terahertz absorption curve) is higher than that of the normal area, it indicates inflammation or allergy; if the terahertz absorption peak value of the abnormal area (terahertz absorption curve) is lower than that of the normal area, it indicates problems such as skin aging or pigmentation.

[0065] Health assessment output step: Generate a skin health test report through the output display component. The report includes a comparison of the actual measured values ​​of skin parameters such as moisture and oil with the reference values, as well as an analysis of the lesion types in abnormal areas.

[0066] like Figure 2 As shown, after the system of this embodiment performs skin health detection, it then provides skin health management guidance through the skin health management component, aiming to formulate a personalized skin care plan based on the skin health analysis results and the use effect of skin care products. The specific steps include:

[0067] Acquisition of skin physiological parameters: Based on the above-mentioned skin health detection method (i.e., based on terahertz skin images, spectral information and skin health analysis results), physiological skin parameters such as moisture, oil, collagen, hemoglobin, melanin, etc. are obtained.

[0068] Determination of skin type and health status: The basic metabolic status and skin type of the skin are evaluated by using the measured parameters of physiological indicators such as moisture, oil, collagen, hemoglobin and melanin in the skin.

[0069] For example:

[0070] Moisture and oil content: used to determine skin type:

[0071] Normal skin has a moisture content of 10%-20% and a fat content of 3.5%-6%.

[0072] Dry skin refers to skin with a moisture content of less than 10% and a lipid content of less than 3.5%.

[0073] Oily skin has a moisture content of 10%-20% and a lipid content of more than 6%.

[0074] If the T-zone of the face is oily and the cheeks are dry or neutral, it is combination skin.

[0075] Collagen: Concentration is used to assess the skin's elasticity level and degree of aging.

[0076] Hemoglobin: Used to determine the blood flow to the skin and detect whether there is inflammation or allergic reaction.

[0077] Melanin: used to assess the skin's skin tone and the presence of pigmentation.

[0078] Determine the type of skin care product that is appropriate: Based on the skin type and health condition obtained in the above steps, choose the type of skin care product that is appropriate:

[0079] Normal skin: Most skin care products are suitable for normal skin, just keep the water and oil balance.

[0080] Dry skin: It is recommended to use products containing a certain amount of oily ingredients to improve the skin's moisturizing effect.

[0081] Oily skin: Use oil-control products to help reduce sebum secretion.

[0082] Combination skin: Carry out zone care for different areas and use products suitable for different areas.

[0083] Choose active ingredients based on skin health conditions: Skin care products containing different active ingredients are further selected according to the specific health conditions of the skin:

[0084] Skin with inflammatory conditions: It is recommended to use products containing soothing and anti-inflammatory ingredients to relieve redness, swelling and allergic reactions.

[0085] Aging skin: Use products with anti-aging ingredients to increase collagen content and improve fine lines and skin sagging.

[0086] Dull skin: It is recommended to use products containing whitening ingredients to reduce spots and brighten skin tone.

[0087] Effect evaluation after product use: After using the skin care product for a period of time, use the terahertz scanning component again to obtain the terahertz spectrum curve of the skin. Compare the terahertz absorption spectra before and after use to analyze the actual effect of the product.

[0088] Improvement calculation: Using a specific terahertz frequency, the effect of skin care products is quantified through the change in absorption coefficient. The calculation formula is: [A(A)-A(B)] / A(B)*100%, where A(A) is the absorption coefficient after using the skin care product, and A(B) is the absorption coefficient before using the skin care product. This formula is used to quantify the degree of improvement of skin moisture, oil and other physiological parameters by skin care products.

[0089] Generate a skin care guidance plan: Based on the above steps, combined with skin type, health status and the effects of skin care products, a personalized skin care guidance plan is generated. The plan will provide long-term care advice to help users continuously improve their skin health, including regular monitoring and optimization of care product selection to keep the skin in the best condition.

[0090] The following is an analysis of the promotion of skin care products:

[0091] A terahertz scanning component (also called a terahertz scanner) is used to obtain the terahertz spectrum curves of the hands before and after using hand cream and water, respectively. Figure 3 As shown:

[0092] Blank: corresponds to the spectral curve of the skin before using any product;

[0093] Water: corresponds to the spectrum curve of the skin after using water;

[0094] Hand cream: corresponds to the spectral curve of the skin after using hand cream.

[0095] The characteristic frequency of 2.75THz was selected as the reference frequency to compare and analyze the changes in skin moisture content under various conditions. The calculated lifting degrees are as follows: hand cream lifting degree: 150%, water lifting degree: 366%.

[0096] From the results, it can be seen that water has a significantly higher effect on improving skin moisture content in a short period of time than hand cream. However, considering the actual usage, hand cream is still the recommended choice for daily skin care due to its longer-lasting moisturizing effect.

[0097] Therefore, the present invention can provide non-invasive and accurate skin health assessment and scientific guidance for skin care, and has broad application prospects in the fields of skin medicine testing, skin care product evaluation, etc.

[0098] The above is only a preferred embodiment of the present invention, and does not limit the present invention in any form. Any technician familiar with the art can make many possible changes and modifications to the technical solution of the present invention by using the above disclosed methods and technical contents without departing from the scope of the technical solution of the present invention, or modify it into an equivalent embodiment of equivalent changes. Therefore, all equivalent changes made according to the shape, structure and principle of the present invention without departing from the content of the technical solution of the present invention should be included in the protection scope of the present invention.

Claims

1. A skin health detection system based on terahertz waves, characterized in that: include: A scanning component is used to scan the skin surface, capture the reflection information of the terahertz wave on the skin in real time, and generate terahertz skin images and spectrum information; A data processing component is used to receive the terahertz skin image and spectrum information sent by the scanning component, calculate and extract the characteristic parameters of the skin, and thus generate skin health analysis results; A storage component for storing terahertz skin images, spectral information and skin health analysis results to form a database for before-and-after comparative analysis of multiple tests; The output display component is used to display terahertz skin images, skin characteristic parameters, comparison analysis results with standard reference values, and skin health analysis results.

2. A skin health detection system based on terahertz waves as claimed in claim 1, characterized in that: The data processing component analyzes the terahertz skin images and spectral information, extracts the characteristic parameters of the skin, including moisture content, oil content, collagen, hemoglobin, and melanin, and calls the healthy skin reference values ​​in the database for comparison and analysis.

3. The skin health detection system based on terahertz waves as claimed in claim 1, characterized in that: The data processing component includes a signal processing unit and a computing unit; The output end of the scanning component is electrically connected to the input end of the signal processing unit, and the output end of the signal processing unit is electrically connected to the input end of the calculation unit, so that the collected terahertz signal is transmitted to the calculation unit through the signal processing unit; The output end of the computing unit is electrically connected to the input end of the storage component. The computing unit analyzes the signal and extracts characteristic parameters, and then compares the data with the healthy skin database in the storage component to obtain the skin health analysis result. The output end of the calculation unit is electrically connected to the input end of the output display component, so that the skin health analysis result is displayed through the output display component, and a skin health detection report is formed in the output display component, including detection values ​​and skin care suggestions.

4. The skin health detection system based on terahertz waves as claimed in claim 1, characterized in that: The system is electrically connected to remote external devices to achieve remote monitoring and remote data storage functions.

5. The skin health detection system based on terahertz waves as claimed in claim 1, characterized in that: Also included is a skin health management component for generating personalized skin care guidance plans.

6. A skin health detection method based on the skin health detection system according to any one of claims 1 to 5, characterized in that: The following steps are involved: Step S1: Scanning the skin area to be tested by means of a scanning component to obtain terahertz wave reflection imaging and spectrum information. The terahertz wave reflection imaging displays the skin surface results and moisture distribution; Step S2: Analyze the scanned terahertz imaging data through the data processing component to determine whether there are bright areas or dark areas on the skin, and then evaluate the uniformity of the skin; If there are no light or dark areas in the image, it means the skin surface is uniform; If there are light or dark areas in the image, it means there are abnormal areas of skin; Step S3: For skin in normal areas, spectral analysis is performed, and the data processing component extracts skin parameters from the terahertz spectrum, including skin moisture, oil, collagen, and hemoglobin. The extracted parameters are compared with healthy skin data in a standard skin database to evaluate the health status of the skin; Step S4: For the skin in the abnormal area, perform spectral analysis and use specific wavebands to determine the type of lesion: If the terahertz absorption peak in the abnormal area is higher than that in the normal area, it indicates inflammation or allergy; If the terahertz absorption peak in the abnormal area is lower than that in the normal area, it indicates skin aging or pigmentation; Step S5: Generate a skin health detection report through the output display component, the report includes a comparison between the actual measured values ​​of the skin parameters and the reference values, and an analysis of the lesion types of the abnormal areas.

7. A skin health detection method as claimed in claim 6, characterized in that: Obtain skin parameters including moisture, oil, collagen, hemoglobin, and melanin based on terahertz skin images, spectral information, and skin health analysis results; The acquired skin parameters are used to evaluate the skin's basic metabolic status and skin type, including: Moisture and oil content: used to determine skin type; Collagen concentration: used to assess skin elasticity and aging; Hemoglobin concentration: used to determine the blood flow to the skin and detect inflammation or allergic reactions; Melanin content: used to assess skin color and the presence of pigmentation; Based on the acquired skin type and skin health status, the system automatically pops up the corresponding skin care product type; The user selects the corresponding skin care product, places an order and jumps to the payment interface.

8. A skin health detection method as claimed in claim 7, characterized in that: When the moisture content is between 10%-20% and the oil content is between 3.5%-6%, it is neutral skin; when the moisture content is below 10% and the oil content is below 3.5%, it is dry skin; when the moisture content is between 10%-20% and the oil content is above 6%, it is oily skin; when the T-zone of the face is oily and the cheeks are dry or neutral, it is combination skin.

9. A skin health detection method as claimed in claim 7, characterized in that: After the user uses the skin care product recommended by the system, the user performs a skin health check again. Using a specific terahertz frequency, the effect of the skin care product is quantified through the change in the absorption coefficient, and the skin improvement degree is calculated: [A(A)-A(B)] / A(B)*100%, where A(A) is the absorption coefficient after using the skin care product, and A(B) is the absorption coefficient before using the skin care product.

10. A skin health detection method according to claim 9, characterized in that: Generate personalized skin care guidance plans based on skin type, skin health status and skin improvement after using skin care products.

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