Multi-Module Based Non-Invasive Digital Healthcare Platform

Abstract

The present invention relates to a multi-module-based non-invasive digital healthcare platform developed to comprehensively manage a user's health and beauty status. The platform according to the present invention comprises a blood sugar health measurement module, a skin analysis module, a mental health measurement module, a control module that integrates the results of each module to analyze the health status based on artificial intelligence and generate customized curation information, and a result display unit that visually provides the analysis results. Through this, different biomarkers such as blood sugar, skin, and mental health can be non-invasively integrated and analyzed in a single device, thereby overcoming the limitations of measuring individual indicators alone and providing comprehensive and reliable digital healthcare services.

Description

Technology Field

[0001] The present invention relates to the field of digital healthcare, and more specifically, to a multi-module-based digital healthcare platform capable of non-invasively measuring various biometric information, such as blood sugar, skin, and mental health, and managing it in an integrated manner. Background Technology

[0003] Conventional healthcare technologies have primarily been developed as devices specialized for a specific single purpose, such as blood glucose meters, skin diagnostic devices, and mental health assessment tools. While these devices are useful for providing individual measurement results, they have limitations in enabling users to comprehensively assess their overall health status or provide personalized management services that consider the correlations between different indicators.

[0004] In particular, most existing blood glucose measurement devices are based on blood sampling, causing significant user inconvenience and limiting their continuous use. Similarly, devices for evaluating skin condition often rely solely on image capture or optical reflection analysis, making it difficult to provide precise analysis results and lifestyle management guidelines. Furthermore, mental health assessments frequently depend on subjective questionnaires or limited biosignal analysis, posing a problem in objectively reflecting the user's actual physiological state.

[0005] Furthermore, if such devices exist individually, users must use each device separately, and since the results are provided in a non-integrated form, systematic and comprehensive health management is difficult. Therefore, there is a growing need for a new platform capable of providing personalized health and beauty management information by non-invasively measuring various biomarkers and analyzing them integrally. The problem to be solved

[0007] The present invention aims to provide a digital healthcare platform capable of comprehensively measuring and analyzing a user's health and beauty status. Specifically, it enables the convenient measurement of various biomarkers, such as blood glucose, skin, and mental health, without blood sampling or invasive methods, and integrates multiple sensor modules into a single device to allow users to obtain multidimensional health information without using individual devices separately. Furthermore, by analyzing measured data using artificial intelligence algorithms, it enables the generation of customized health and beauty management information that considers the correlations between indicators, going beyond the simple provision of numerical values. Additionally, it allows for the hygienic maintenance of user contact points through ultraviolet (UV) sterilization to ensure suitability for repeated use in public environments. Through this, the present invention overcomes the limitations of existing single-purpose devices and provides users with an enhanced digital healthcare experience. The objective is to provide a new type of fetal malformation diagnosis assistance system.

[0009] The technical problems that the present invention aims to solve are not limited to those mentioned above, and other unmentioned technical problems will be clearly understood by those skilled in the art to which the present invention belongs from the description below. means of solving the problem

[0011] As an embodiment for achieving the above technical objectives, the present invention provides a multi-module-based non-invasive digital healthcare platform comprising: a barcode scanner module positioned at the bottom of a display unit to perform user identification by scanning a user's barcode; a blood sugar health measurement module that calculates a blood sugar index by acquiring a photoplethysmography (PPG) signal through a PPG sensor formed at the bottom of a front housing; a skin analysis module that analyzes skin moisture, color, and wrinkle condition by capturing images of a user's skin through a camera positioned at the top of a display unit; a mental health measurement module that captures images of a user's head and upper body for about 1 minute through the camera and quantifies brain fatigue, concentration, and vitality index by analyzing minute movements detected within the captured images as vestibular affective reflex movement indicators; a control module that generates customized diet, exercise, and beauty management information by integrating measurement results obtained from each module and analyzing them with an artificial intelligence algorithm; a touch display unit that displays integrated results and curation information according to the control of the control module; and a sterilization module that ensures hygiene by sterilizing the area where each module and the user come into contact with ultraviolet (UV) light.

[0012] According to another embodiment for achieving the above technical problem, the camera module has 4 to 5 megapixels, captures images at a frame rate of 25 to 35 fps, and provides a field of view of 70 to 80°, thereby enabling stable simultaneous skin analysis and mental health measurement. Effects of the invention

[0014] According to the present invention having the above technical configuration, the user can measure blood glucose levels without invasive procedures such as blood sampling, thereby significantly improving convenience and usability. Furthermore, since the skin analysis module and the mental health measurement module are integrated into the same device, skin condition and psychophysiological state can be evaluated simultaneously, allowing for a comprehensive assessment of overall health status rather than being limited to a single indicator.

[0015] In addition, the results measured by the AI-based control module go beyond simply providing numerical values ​​and are transformed into personalized health and beauty management information that considers the correlations between indicators, allowing users to immediately utilize this information to improve their lifestyle habits.

[0016] Furthermore, by maintaining the areas where each module comes into contact with the user hygienically through ultraviolet (UV) sterilization, the present invention can minimize the risk of infection or hygiene issues even when used repeatedly in public environments. Therefore, the present invention overcomes the limitations of existing single-purpose health measurement devices and can provide users with an integrated and highly reliable digital healthcare experience.

[0018] The effects of the present invention are not limited to the effects described above, and should be understood to include all effects that can be inferred from the configuration of the invention described in the detailed description of the invention or the claims. Brief explanation of the drawing

[0020] FIG. 1 illustrates an embodiment of a kiosk device for implementing the digital healthcare platform of the present invention. Specific details for implementing the invention

[0021] The present invention will be explained in more detail below with specific examples. However, the embodiments described below are provided as examples to ensure that the concept of the present invention is sufficiently conveyed to those skilled in the art.

[0022] Accordingly, the present invention is not limited to the embodiments presented below and may be embodied in other forms, and the embodiments presented below are described merely to clarify the concept of the present invention and are not limited thereto.

[0024] definition

[0025] Expressions such as “comprising,” “comprising,” “having,” etc. as used herein should be understood as open-ended terms implying the possibility of including other embodiments in a manner similar to “comprising,” unless otherwise stated in the phrase or sentence containing such expressions.

[0026] The term "and / or" as used herein may mean any one or more of the items, any combination of the items, or all of the items in relation to the term.

[0028] In this specification, the term “barcode scanner module” may refer to a functional configuration for identifying a user or linking with a user-specific database by reading a barcode image through a scanner (500). The module can read one-dimensional or two-dimensional barcodes, and the read information can be transmitted to a control module and used for account linking, user history management, etc.

[0029] In this specification, the term “blood sugar health measurement module” may refer to a functional configuration for estimating a user’s blood sugar index by acquiring a photoplethysmography signal from a finger through a PPG sensor (400) and analyzing it. The module may include signal preprocessing, feature extraction, artificial intelligence-based regression analysis, etc., and allows for repeated measurements without invasive methods such as blood sampling.

[0030] In this specification, the term “skin analysis module” may refer to a functional configuration for analyzing a skin image captured through a camera (300) to calculate skin health indicators such as skin moisture, color, and wrinkle condition. The module may include processes such as image preprocessing, color space conversion, and texture analysis.

[0031] In this specification, the term “mental health measurement module” may refer to a functional configuration for quantifying the psychophysiological state of a user by analyzing fine movements within a head and upper body image captured by a camera (300) for about 1 minute. The module can calculate various psychological variables such as brain fatigue, concentration, vitality index, stress, and anxiety tension by utilizing Vestibulo-Emotional Reflex Motion as an indicator.

[0032] In this specification, the term “control module” may refer to a functional configuration for generating comprehensive health status and customized curation information by receiving measurement results from each module, performing standardization and preprocessing, and analyzing correlations by applying an artificial intelligence algorithm. The module may include a multilayer perceptron, a convolutional neural network, a time series analysis model, etc.

[0033] In the present specification, the term “result display unit” refers to a configuration for visually providing the analysis results and curation information of the control module to the user through a display unit (100), and may mean a functional configuration capable of accommodating user input including a touch interface.

[0034] In this specification, the term “sterilization module” may refer to a functional configuration for ensuring hygiene even in a repetitive use environment by sterilizing the contact area of ​​the PPG sensor (400) and the front housing (200) using an ultraviolet (UV) light source.

[0036] The present invention relates to a multi-module-based non-invasive digital healthcare platform developed to comprehensively manage a user's health and beauty status. While existing single-purpose devices were limited to individually measuring only a limited number of indicators such as blood glucose, skin, and mental health, the present invention aims to enable users to manage their personal health more intuitively and conveniently by integrally measuring and analyzing various biometric information on a single platform. In particular, it can calculate blood glucose levels without invasive methods such as blood sampling, and simultaneously evaluate skin condition and mental health status through skin image analysis and vestibular-emotional reflex analysis, thereby providing a non-invasive yet highly reliable health management service.

[0037] The digital healthcare platform of the present invention may be configured to include several functional modules as follows.

[0038] First, a barcode scanner module utilizing a scanner (500) reads the user's barcode to perform personal identification and can be linked with a database for each user.

[0039] A blood glucose measurement module based on a PPG sensor (400) can non-invasively calculate a blood glucose index by analyzing a photoplethysmography signal obtained from a finger and is suitable for repeated use.

[0040] A skin analysis module utilizing a camera (300) can quantitatively analyze the user's skin health condition by evaluating skin moisture, color, and wrinkle condition based on captured images. The same camera (300) is also used in a mental health measurement module, which analyzes minute movements of the head and upper body captured for about 1 minute to calculate a vestibular emotional reflex movement index, and based on this, can quantify psychophysiological conditions such as brain fatigue, concentration, and vitality index.

[0041] The measurement results of each module are transmitted to the control module, integrated and analyzed by an artificial intelligence algorithm, and these analysis results can be converted into customized health and beauty care curation information.

[0042] The result display module visually provides the measurement results and curation information through the display unit (100) and can also accept user input through a touch function.

[0043] In addition, the sterilization module can maintain hygiene by irradiating the contact area between the PPG sensor (400) and the front housing (200) with ultraviolet (UV) light, thereby ensuring stability and reliability even in an environment where multiple users use it repeatedly.

[0044] Referring to FIG. 1, a kiosk device, which is an example for implementing the digital healthcare platform of the present invention, may be configured to include a display unit (100), a front housing (200), a camera (300), a PPG sensor (400), a scanner (500), and a sterilization module. The display unit (100) serves as a primary interface through which a user can interact with the platform and can display measurement results and customized curation information. The front housing (200) supports the display unit (100), accommodates various sensors and circuits inside, and provides a structure that allows a user to place a finger or scan a barcode.

[0045] The camera (300) is positioned at the top of the display unit (100) to capture images of the skin and the upper body, and the PPG sensor (400) is positioned at the bottom of the front housing (200) to acquire photoplethysmography signals from the user's finger. Additionally, the scanner (500) is positioned at the bottom of the display unit (100) to identify the user by scanning a barcode. Furthermore, the sterilization module sterilizes the contact parts of the PPG sensor (400) and the front housing (200) with ultraviolet (UV) light, allowing them to be maintained hygienically even in a repeated use environment.

[0046] After the user is authenticated through the scanner (500), the platform of the present invention can simultaneously measure blood glucose index, skin condition, and mental health indicators through the PPG sensor (400) and the camera (300), and provide user-customized health and beauty management information to the display unit (100) by integrating and analyzing these values ​​in the control module. In this way, the present invention overcomes the limitations of existing technology through a non-invasive and multi-module-based configuration and enables the implementation of comprehensive and reliable digital healthcare services.

[0048] Below, we will examine each module constituting the platform of the present invention in more detail.

[0050] The above barcode scanner module can be operated through a scanner (500) positioned at the bottom of the display unit (100). When a user presents a personal identification barcode, the scanner (500) can read a one-dimensional or two-dimensional barcode pattern to extract user information. The read data can be transmitted to a control module to be linked to a user account or used to retrieve past measurement history and individual reference values ​​from a separate database. Through this, the platform according to the present invention can separate and manage each user's measurement results even if multiple users use the same device, and enables personalized analysis.

[0052] The above-described blood sugar measurement module may be configured to include a finger rest formed at the bottom of the front housing (200) and a PPG sensor (400). The finger rest may be designed with curvature and depth so that the user's finger rests repeatedly in a certain position, and a light-blocking lip or a light-blocking shroud may be formed on the edge portion to reduce the ingress of external light. The finger rest may be equipped with an elastomer pad to cushion contact pressure, and if necessary, an anti-slip texture may be applied. With this structure, the user can naturally place their finger without separate training, and positional errors and external light interference during the measurement process can be suppressed.

[0053] The above PPG sensor (400) may include a light source and a light receiving unit. The light source may include one or more LEDs in the visible light or near-infrared region, and the light receiving unit may be composed of an analog front end including a photodiode and a transimpedance amplifier. The light source may be pulse-driven or duty cycle-controlled by a driving circuit, and the light receiving unit may acquire a reflected PPG signal using a synchronous detection method. The PPG sensor (400) may generate a pulse wave signal by optically detecting changes in blood vessel volume at the fingertip, and, if necessary, may improve robustness against tissue scattering characteristics and skin color fluctuations through sequential multi-wavelength lighting.

[0054] The above-described glucose health measurement module can be controlled to have an acquisition interval of approximately 60 seconds to ensure measurement quality. During the acquisition interval, the PPG sensor (400) can collect continuous signals at a constant sampling rate, and the control module can calculate the signal quality index (SQI) in real time and automatically exclude intervals below a standard. The signal can be filtered through bandpass filtering, which combines a low-pass filter and a high-pass filter, to remove respiratory baseline fluctuations and high-frequency noise, and a notch filter can be additionally applied in environments where power network interference is a concern. In case the finger seating position is unstable, the finger seating portion may be further equipped with a pressure sensor or a contact detection sensor to monitor the contact pressure range and guide the user to correct their posture if it deviates from the standard range.

[0055] The control module described above can extract waveform characteristics from the preprocessed PPG signal. For example, these may include waveform rise time, fall time, amplitude, waveform area, waveform slope, indicators related to branching points and dicrotic notches, fluctuations in interval between beats, waveform frequency spectrum components, and waveform nonlinearity indicators. Based on these waveform characteristics, the control module can calculate glucose health-related indicators and, if necessary, perform a standardization or normalization process by comparing them with user-specific reference data. The standardization process may be linked with the user profile identified through the barcode scanner module to apply personalized correction.

[0056] The above-described blood sugar measurement module can perform dynamic artifact correction. When information on fine movements of the head and upper body provided by the camera (300) is available, the control module can synchronize the time axis of the movement information and the PPG signal to exclude PPG data in sections where the movement exceeds a threshold or reduce the weight of the corresponding section. Additionally, if fine finger tremors or contact pressure fluctuations are detected, the control module can automatically instruct reacquisition or extend the measurement time to secure a valid section. In the case of large changes in ambient temperature, temperature-dependent noise components can be corrected using the value of the temperature sensor placed inside the front housing (200).

[0057] The control module described above can calculate a blood sugar health index by calling an artificial intelligence estimation model that takes the waveform characteristics and user attribute information as input. The artificial intelligence estimation model may be a supervised learning-based regression or classification model, such as a multilayer perceptron, and its parameters may be learned through a pre-established training dataset. The model can improve personalization performance by applying correction parameters that reflect user-specific reference values, and can also calculate the model's estimation confidence interval and provide it to the result display module. The calculated result may be expressed in the form of an absolute value or a graded indicator, and can subsequently be integrated with skin analysis results and mental health measurement results to be provided as a comprehensive health indicator.

[0058] The above-described glucose health measurement module may operate in the stages of measurement preparation, acquisition, quality evaluation, feature extraction, correction, and index calculation. In the preparation stage, the sterilization module may ensure a hygienic state by irradiating the contact area around the PPG sensor (400) with ultraviolet (UV) light, and in the acquisition stage, the display unit (100) may provide guidance on the user's posture and contact pressure. In the quality evaluation stage, the control module may evaluate signal quality in real time and, if necessary, guide the user to re-seated or correct their posture, and in the feature extraction and correction stage, the control module may calculate the aforementioned waveform characteristics and correction parameters. Finally, in the index calculation stage, the control module may generate a glucose health index and provide it to the user through the result display module.

[0059] According to the above configuration, the glucose health measurement module of the present invention can secure a stable PPG signal non-invasively and reduce the influence of dynamic artifacts and environmental factors to calculate a highly reliable glucose health index. In addition, user-specific calibration and quality control procedures are integrated to ensure reproducibility even in repeated measurement environments.

[0061] The above skin analysis module can photograph the user's face or skin surface through a camera (300) positioned at the top of the display unit (100) and evaluate the skin condition by analyzing the captured image. The captured image can be input into a control module and converted into multiple indicators such as skin moisture level, color, and wrinkle condition.

[0062] Skin moisture levels can be estimated by analyzing the reflected light patterns and brightness distributions on the skin surface in captured images. For example, if the skin surface is dry, light reflectivity appears uneven, and consequently, localized brightness differences can be detected prominently; based on these distribution characteristics, a relative moisture index can be calculated.

[0063] Skin color can be extracted by converting each pixel of an image into a color space (RGB or HSV) and calculating the mean and variance. The color index can be used to quantify conditions such as flushing, pigmentation, and dullness, and if necessary, trends in color change can be derived by comparing long-term measurement data for the same user.

[0064] Wrinkle conditions can be detected by analyzing skin texture within an image. Specifically, linear patterns such as wrinkles can be extracted by applying high-frequency filtering or texture analysis algorithms (Gabor filter, LBP (Local Binary Pattern), etc.) to the image, and their length, depth, and density can be quantified.

[0065] The skin analysis module described above is not limited to providing these individual indicators alone, but can also produce relative evaluation results by comparing them with the user's age, gender, or demographic group. Additionally, it can analyze long-term improvement effects or deterioration trends by tracking changes in skin data measured at multiple points in time. These results can be provided in an intuitive form, such as a graph, color map, or grade icon, to the result display module (100), and the control module can generate customized beauty care curation information, such as hydration, color improvement, and wrinkle management, based on this.

[0067] The above mental health measurement module can quantify the user's psychophysiological state by capturing images of the user's head and upper body for about 1 minute through a camera (300) placed at the top of the display unit (100) and analyzing minute movements detected in the captured images. Specifically, by utilizing Vestibulo-Emotional Reflex Motion as an indicator, various psychological variables such as stress, anxiety tension, hyper-aggressiveness, attractiveness (self-esteem / charisma), suspicion, depression, mental-body balance, psychomotor energy, self-regulation, and sensitivity (neurosis), including brain fatigue, concentration, and vitality index, can be quantitatively calculated.

[0068] The captured video first undergoes background removal and contour extraction processes to separate the user's head and upper body, and pixel changes in the extracted area can be converted into time-series data. The converted data can be expressed as micro-motion vectors based on the differences between video frames, and in this process, the magnitude, direction, and periodicity of the movement can be quantitatively calculated.

[0069] In the vestibular emotional reflex analysis stage, the aforementioned movement vectors are interpreted simultaneously in the time and frequency domains to distinguish between stable and asymmetric patterns. For example, in a state of high concentration, the periodicity of movement decreases and the head posture tends to remain relatively fixed, whereas in a state of accumulated brain fatigue, movement increases irregularly and left-right symmetry within the image may deteriorate. Additionally, the vitality index can be calculated by comprehensively considering the speed and range of movement, and if it falls below a certain threshold, it may be determined to be a state of accumulated fatigue or low vitality.

[0070] The mental health measurement module described above provides these analysis results in the form of individual indicators, while simultaneously evaluating the relative level by comparing it with past data and demographic reference data for each user. The analysis results are reflected in the overall health status through the control module and can be displayed as visual icons, graphs, or color maps on the result display module (100). Through this, the user can intuitively check their brain fatigue, concentration, and vitality levels, and the control module can generate curation information such as personalized lifestyle management advice or notifications regarding the need for rest.

[0071] According to the above configuration, the mental health measurement module of the present invention overcomes the limitations of simple self-report questionnaires or limited biosignal-based evaluations and can non-invasively quantify the user's psychophysiological state through image-based micro-movement analysis.

[0073] Meanwhile, the camera (300) is positioned at the top of the display unit (100) and can be used as common hardware for the skin analysis module and the mental health measurement module. For example, the camera (300) includes a glass lens and can communicate with the control module via a USB interface and can operate in multiple resolution modes such as QHD (e.g., 2592×1944), 2K, FHD, etc. Additionally, by employing a glass lens, focus drift caused by chromatic aberration and thermal fluctuations can be reduced, and skin color reproduction and stability of fine movement tracking can be ensured.

[0074] It is preferable that the camera (300) has a pixel range of 4 to 5 megapixels. Considering that the distance between the user and the camera is typically maintained at about 0.6 to 1.0 m in a kiosk environment, and that the face and upper body must be captured simultaneously, if the pixel range is less than 4 megapixels, the spatial resolution of fine textures such as wrinkles and pores within the face area becomes insufficient, which may reduce the precision of skin analysis. On the other hand, if the pixel range exceeds 5 megapixels, the pixel pitch in the same optical system becomes smaller, making it easy for the signal-to-noise ratio to deteriorate in low-light environments, and the data bandwidth and computational load increase unnecessarily, which may worsen the efficiency of real-time analysis. Therefore, the 4 to 5 megapixel range can be considered an appropriate range that can secure a balance between signal quality and processing efficiency while simultaneously satisfying skin texture reading and upper body fine movement detection.

[0075] In addition, it is preferable for the camera (300) to acquire images at a frame rate of 25 to 35 fps. Considering that the effective frequency band of vestibular emotional reflex movements analyzed by the mental health measurement module is observed to be approximately in the range of 0.5 to 8 Hz, at less than 25 fps, the Nyquist criteria may not be met, which may reduce the precision of periodicity and irregularity analysis. On the other hand, if it exceeds 35 fps, the exposure time per frame becomes excessively short, which may increase photon noise in low-light environments and reduce the color accuracy of the skin image. Furthermore, at 35 fps or higher, the data throughput increases unnecessarily, which may impair the stability of real-time analysis within one minute of measurement. Therefore, the range of 25 to 35 fps can be considered an appropriate range that ensures a balance between temporal resolution, image quality, and processing efficiency.

[0076] In addition, it is preferable that the camera (300) provides a field of view of 70 to 80°. If the field of view is less than 70°, it is difficult to capture the user's head and upper body simultaneously, so the motion detection range required by the mental health measurement module cannot be sufficiently secured, and it may become sensitive to changes in shooting distance. On the other hand, if it exceeds 80°, geometric distortion in the periphery may be intensified, which may reduce the accuracy of motion vector analysis, and the pixel density may be lowered at the same sensor resolution, which may reduce the precision of skin texture analysis. Therefore, the 70 to 80° range can be considered an appropriate range that can simultaneously satisfy the capture of the head and upper body and the reading of detailed skin texture while keeping distortion within an acceptable range.

[0077] By applying the above-mentioned specification range, the camera (300) can simultaneously satisfy the color and texture reproduction required by the skin analysis module and the time and spatial resolution required by the mental health measurement module. In addition, the combination of 4 to 5 megapixels, 25 to 35 fps, and 70 to 80° can provide a balance between data volume and signal quality so that 1 minute of measurement and analysis can be stably performed within the computational resources of the USB interface-based real-time transmission and control module.

[0079] The control module described above can integrate and process data acquired from the barcode scanner module, the glucose health measurement module, the skin analysis module, and the mental health measurement module. The control module first standardizes the output data of each module to convert it into a common format, and verifies data quality to correct noise or missing values. For example, if the signal quality index in the glucose health measurement module is below a certain standard, the corresponding section can be excluded or an interpolation algorithm can be applied; and if an illuminance imbalance is detected in the skin analysis module, illumination correction can be performed.

[0080] The control module described above can analyze health status by performing artificial intelligence algorithms based on preprocessed data. For example, a multilayer perceptron (MLP), a convolutional neural network (CNN), or a time series analysis model (RNN, LSTM, etc.) may be applied, and the model can calculate user-customized health and beauty management indicators by considering the correlation between blood glucose levels, skin indicators, and psychological variables. In addition, the control module can perform personalized correction by referring to user profiles and historical data, and can calculate relative evaluation results through comparison with data of the same age, gender, and health group.

[0081] In particular, the control module can integrate and analyze data obtained from the barcode scanner module, the blood sugar health measurement module, the skin analysis module, and the mental health measurement module. While each module can provide useful information individually, the control module can perform a comprehensive health status analysis that is difficult to obtain through single-indicator-based evaluation by combining this information. For example, even if the blood sugar index is within the normal range, if skin moisture is low and mental fatigue is high, lifestyle problems that cannot be explained by simple blood sugar management alone can be detected early. Conversely, if unstable fluctuations in blood sugar are accompanied by a decrease in skin elasticity and concentration, this can be utilized as a signal suggesting metabolic abnormalities or the influence of stress-related factors.

[0082] The aforementioned control module can complement the limitations of individual indicators by correlating data from different modules and generate user-customized management indicators. Specifically, it can comprehensively evaluate nutritional status and lifestyle habits by combining blood sugar health indicators with skin moisture indicators, and track the short- and long-term effects of stress responses by combining mental health indicators with changes in skin tone. Through this multidimensional analysis, users can intuitively grasp their integrated health status, which is difficult to verify with a single device or test.

[0083] The above control module can standardize data through a preprocessing process and learn and analyze correlations between indicators by applying artificial intelligence algorithms. For example, it can quantify complex health risks by utilizing multilayer perceptrons (MLPs) or time series analysis models, and can present relative levels by reflecting user-specific historical data and group-specific reference data together.

[0084] The above analysis results can be provided to the user through a display unit (100) included in the result display module. Since the display unit (100) includes a touch interface, the user can select an area of ​​interest or provide additional input in addition to simply checking the results. The analysis results can be expressed in a visually intuitive form such as a graph, color map, or icon, and if necessary, curation information such as text-based explanations or recommendations for lifestyle improvement can be provided together. For example, if the blood sugar index exceeds a reference value, a diet control guide may be displayed, and if skin moisture is low, beauty care methods related to moisturization may be suggested. In the analysis of mental health status, if concentration is low or brain fatigue is high, recommendations for rest or simple exercise routines may be provided.

[0085] In this way, the control module can provide comprehensive and customized digital healthcare services by going beyond the level of simply listing the analysis results of a single module in parallel and considering the correlations and synergistic effects of different biomarkers.

[0087] The above sterilization module may be provided to ensure hygiene during the repeated use of the digital healthcare platform. Since the platform of the present invention operates by allowing a user to directly place their finger or bring their face close to capture an image through a specific contact area of ​​the PPG sensor (400) and the front housing (200), there is a great need for hygiene management when an unspecified number of users use it continuously.

[0088] The above sterilization module includes an ultraviolet (UV) light source and can periodically irradiate the contact area between the PPG sensor (400) and the front housing (200). The light source can emit wavelengths in the UV-C band (e.g., 260–280 nm), which is generally effective for inactivating the DNA and RNA of microorganisms such as bacteria and viruses. The sterilization cycle can be automatically controlled by a control module, for example, immediately after each user completes a measurement or at regular time intervals.

[0089] For the safety of the user, the above sterilization module may display a warning message on the display unit (100) during the sterilization operation or block user input during the sterilization period. Additionally, a reflector or a light-blocking cover may be installed between the sensor area and the light source so that the UV irradiation range may be limited to a designated contact area. With such a configuration, the sterilization module can prevent unnecessary exposure of the user's eyes or skin to ultraviolet rays while ensuring a sterilization effect.

[0090] The above sterilization module can be linked with a control module to record the history of sterilization operations and can be configured to forcibly execute sterilization after a certain number of uses. Additionally, it may be equipped with a sterilization sensor or a light intensity monitoring element to provide a replacement notification when the ultraviolet output drops below a standard level.

[0091] Through the above configuration, the sterilization module according to the present invention can maintain the hygienic condition of the PPG sensor (400) and the front housing (200) even in a continuous use environment by multiple users, reduce the risk of infection, and improve the reliability of the device.

[0093] As described above, the multimodule-based non-invasive digital healthcare platform according to the present invention may begin with a step in which a user accesses the device and performs personal identification through a scanner (500). Once the user is authenticated, a photoplethysmography signal is acquired through a PPG sensor (400) by placing a finger on a finger rest provided on the front housing (200), and a blood sugar health index can be calculated. At the same time, a camera (300) at the top of the display unit (100) captures images of the user's skin and upper body to analyze skin moisture, color, and wrinkle status, and can quantify brain fatigue, concentration, vitality index, and various psychological variables based on vestibular emotional reflex movement indicators.

[0094] The results derived from each of the above modules are aggregated into a control module, undergo standardization and preprocessing, and then comprehensively analyzed by an artificial intelligence algorithm. The control module evaluates the correlation between blood glucose indicators, skin condition, and mental health indicators to interpret complex health conditions that are difficult to identify with a single measurement value, and based on this, can generate customized curation information regarding diet, exercise, and beauty management. The analysis results can be provided to the user along with intuitive visual materials through a display unit (100) which serves as a result display unit, and specific guidelines, such as recommendations for lifestyle improvement or rest, can also be provided if necessary.

[0095] When the measurement process is finished, the sterilization module operates to sterilize the contact area between the PPG sensor (400) and the front housing (200) with ultraviolet (UV) light, thereby maintaining hygiene and safety even in an environment where multiple users continuously utilize the device.

[0096] Accordingly, the present invention is implemented in a form in which a barcode scanner module, a blood sugar health measurement module, a skin analysis module, a mental health measurement module, a control module, a result display unit, and a sterilization module are organically combined. By non-invasively measuring various biomarkers such as blood sugar, skin, and mental health and analyzing them integrally, it is possible to provide users with highly reliable, customized digital healthcare services. This configuration overcomes the limitations of existing single-purpose devices and realizes value as a comprehensive and sustainable health management platform.

[0098] Embodiments of the present invention have been described above. The technical features are not limited thereto and include all variations that can be modified and applied by a person skilled in the art based on the technical concept of the present invention. Explanation of the symbols

[0100] 100 : Display section 200 : Front housing 300 : Camera 400 : PPG sensor 500 : Scanner

Claims

Claim 1 A digital healthcare platform for non-invasively measuring a user's health and beauty status comprises: a barcode scanner module that performs user identification by scanning a barcode through a scanner positioned at the bottom of a display unit; a blood glucose health measurement module that calculates the user's blood glucose index by acquiring a photoplethysmography (PPG) signal through a PPG sensor formed at the bottom of a front housing where the user's finger rests; a skin analysis module that captures images of the user's skin through a camera positioned at the top of a display unit and analyzes skin moisture, color, and wrinkle condition; a mental health measurement module that captures images of the user's head and upper body through the camera and quantifies the user's psychoecological state by analyzing minute movements detected within the captured images as vestibular emotional reflex movement indicators; a control module that integrates the measurement results obtained from each module and analyzes the user's health status based on an AI algorithm, and generates customized curation information regarding diet, exercise, and beauty management by conducting a comprehensive health status analysis that is difficult to obtain through single-indicator-based evaluation by combining the analysis result information; and a result display module that displays the measurement results and curation information on the display unit. A digital healthcare platform characterized by including: a sterilization module that performs ultraviolet (UV) sterilization to maintain the hygienic condition of the area in contact between each module and the user. Claim 2 A digital healthcare platform according to claim 1, characterized in that the camera has 4 to 5 megapixels, captures images at a frame rate of 25 to 35 fps, and provides a field of view of 70 to 80°.

Images