Method for providing brain and mental health information and server performing same

Abstract

The present invention relates to a method for providing brain and mental health information, comprising the steps of: obtaining brainwave data and heartbeat data of a user; calculating, on the basis of the brainwave data, brain health indices indicating brain activity level, brain flexibility, brain brightness level, and brain balance level, and calculating, on the basis of the heartbeat data, mental health indices indicating autonomic nerve activity level, autonomic nerve balance level, stress index, and stress resistance level; determining a brain health type and a mental health type of the user respectively on the basis of the calculated brain health indices and mental health indices; and providing, according to the determined brain health type and mental health type, a service interface screen for providing a management and treatment guide for the user.

Description

Method for providing brain and mind health information and server for performing the same

[0001] The present invention relates to a method for providing brain and mind health information and a server for performing the same.

[0002] With the development of the service industry and the increase in emotional labor workers, the number of people suffering from mental stress and depression is also increasing. As we enter an aging society, the number of people suffering from cognitive impairments such as dementia is also increasing. Recently, this phenomenon has been recognized as a social problem, and various research techniques are being developed to assess and diagnose mental health to address it.

[0003] For example, a technology has been disclosed that acquires a user's frontal lobe brainwave data from an electroencephalography (EEG) measuring device and measures the user's depression severity by analyzing the frontal lobe EEG data.

[0004] However, measurement results are often presented simply in numerical form or contain technical terminology. This means that individual users cannot clearly understand their current health status or what practical efforts are needed to improve their health. Thus, the problem is that mental health assessments and diagnoses end with mere diagnoses, which do nothing to improve an individual's mental health.

[0005] The background technology of the invention has been prepared to facilitate a better understanding of the present invention. It should not be construed as an admission that the matters described in the background technology of the invention constitute prior art.

[0006] Accordingly, a method is required to assess and diagnose mental health such as depression, stress-related mental health, and dementia, and to intuitively classify the user's current mental health type.

[0007] As a result, the inventors of the present invention sought to develop a method and a server that can measure a user's biometric data, calculate brain health and mental health scores based on the measured data, and determine brain health and mental health types to provide appropriate management and treatment guides to the user.

[0008] The tasks of the present invention are not limited to the tasks mentioned above, and other tasks not mentioned will be clearly understood by those skilled in the art from the description below.

[0009] In order to solve the above-described problem, a method for providing brain and mind health information according to an embodiment of the present invention is provided. The method is configured to include the steps of acquiring brain wave data and heart rate data of a user, calculating a brain health index representing brain activity, brain flexibility, brain intelligence, and brain balance based on the brain wave data, calculating a mind health index representing autonomic nervous system activity, autonomic nervous system balance, stress index, and stress resistance based on the heart rate data, determining a brain health type and a mind health type of the user based on the calculated brain health index and mind health index, and providing a service interface screen for providing a management and treatment guide for the user based on the determined brain health type and mind health type.

[0010] According to another feature of the present invention, the calculating step may be a step of calculating brain activity for each of a plurality of frequency bands based on the brain wave data, and the determining step may be a step of determining the user's brain health type based on whether each of the brain activities for each of the plurality of frequency bands exceeds a preset range.

[0011] According to another feature of the present invention, the calculating step further includes a step of distinguishing a frequency band corresponding to exceeding a preset range when the brain activity in at least two frequency bands among the brain activity for each of the plurality of frequency bands exceeds a preset range, and the determining step may be a step of determining the brain health type of the user based on at least one of the distinguished frequency bands. According to another feature of the present invention, the distinguishing step further includes a step of calculating, depending on the type of the distinguished frequency band, an upper limit difference between the brain activity of the at least two distinguished frequency bands and the preset range, and the determining step may further include a step of determining the brain health type of the user based on a frequency band in which the calculated upper limit difference is the largest.

[0012] According to another feature of the present invention, the determining step may further include a step of specifying the user's brain health type as one type when each of the brain activities for each of the plurality of frequency bands falls within a preset range.

[0013] According to another feature of the present invention, the calculating step may further include a step of extracting heart rate variability (HRV) data based on the heart rate data, a step of calculating autonomic nerve activity for each of a plurality of frequency domains based on the extracted heart rate variability data, and a step of calculating autonomic nerve balance for the sympathetic nerve and the parasympathetic nerve based on the calculated autonomic nerve activity for each of a plurality of frequency domains.

[0014] According to another feature of the present invention, the determining step may be a step of determining the user's mental health type based on whether the relative ratio between the sympathetic nerve and the parasympathetic nerve in the autonomic nervous system balance exceeds a preset ratio.

[0015] According to another feature of the present invention, the determining step may be a step of determining the user's mental health type based on whether the autonomic nervous system activity in at least two frequency domains among the plurality of frequency domain-specific autonomic nervous system activities is below a preset range.

[0016] According to another feature of the present invention, the determining step may further include a step of determining which nerve is dominant among the sympathetic nerve and the parasympathetic nerve in the autonomic nerve balance when the autonomic nerve activity of at least two frequency domains is below a preset range.

[0017] According to another feature of the present invention, the determining step may further include a step of specifying the user's mental health type as one type when the autonomic nerve activity in at least three frequency domains among the plurality of frequency domain-specific autonomic nerve activities exceeds a preset range and the relative ratio in the autonomic nerve balance is lower than the preset ratio.

[0018] According to another feature of the present invention, the service interface screen may include an area that displays a daily activity guide corresponding to each of the brain health type and the mind health type.

[0019] In order to solve the above-described problem, a brain and mind health information providing device according to another embodiment of the present invention is provided. The device includes a communication interface, a memory, and a processor operably connected to the communication interface and the memory, wherein the processor is configured to obtain brain wave data and heart rate data of a user, calculate a brain health index indicating brain activity, brain flexibility, brain intelligence, and brain balance based on the brain wave data, calculate a mind health index indicating autonomic nervous system activity, autonomic nervous system balance, stress index, and stress resistance based on the heart rate data, determine a brain health type and a mind health type of the user based on the calculated brain health index and mind health index, and provide a service interface screen for providing a management and treatment guide for the user based on the determined brain health type and mind health type.

[0020] Specific details of other embodiments are included in the detailed description and drawings.

[0021] The present invention clearly classifies the user's brain health type and mental health type based on the user's biometric data, thereby enabling the user to more easily understand his or her health status.

[0022] Furthermore, the present invention provides appropriate management and treatment guides corresponding to brain health and mental health types, enabling users to manage their brain and mental health in real life. In particular, the present invention provides detailed explanations of brain and mental health management methods using icons, images, and text on the user interface screen, thereby enhancing user understanding.

[0023] Furthermore, the present invention can provide a detailed diagnosis of brain and mental health, which are not typically examined in detail in regular health checkups. Accordingly, users can assess their brain and mental health status before it deteriorates, necessitating urgent diagnosis and treatment. They can then follow the provided management and treatment guides to improve their health in their daily lives.

[0024] In addition, the present invention can provide users with diagnosis results and health management methods based on the diagnosis without having to visit a medical institution.

[0025] The effects according to the present invention are not limited to those exemplified above, and more diverse effects are included within the present invention.

[0026] FIG. 1 is a schematic diagram of a system for providing brain and mind health information according to one embodiment of the present invention.

[0027] Figure 2 is a schematic diagram showing the configuration of a user device according to one embodiment of the present invention.

[0028] Figure 3 is a block diagram showing the configuration of a brain and mind health information providing device according to one embodiment of the present invention.

[0029] Figure 4 is a schematic flowchart of a method for providing brain and mind health information according to one embodiment of the present invention.

[0030] FIG. 5 is a schematic diagram for explaining the types of mind health and brain health distinguished in a brain and mind health information providing device according to one embodiment of the present invention.

[0031] FIGS. 6 and 7 are exemplary diagrams of user interface screens showing the results of a user's brain and mind health information diagnosis provided through a user device according to one embodiment of the present invention.

[0032] FIG. 8 and FIG. 9 are graphs for explaining evaluation results of a method for providing brain and mind health information according to one embodiment of the present invention.

[0033] Figures 10 and 11 are graphs for explaining the diagnosis results by brain health type and mind health type according to one embodiment of the present invention.

[0034] Figures 12 and 13 are graphs showing the risk levels by brain health type and mind health type according to one embodiment of the present invention.

[0035] The advantages and features of the present invention, and the methods for achieving them, will become clearer with reference to the embodiments described in detail below together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms. These embodiments are provided solely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims. In connection with the description of the drawings, similar reference numerals may be used for similar components.

[0036] In this document, the expressions "has," "may have," "includes," or "may include" indicate the presence of a feature (e.g., a number, function, operation, or component such as a part), but do not exclude the presence of additional features.

[0037] In this document, the expressions "A or B," "at least one of A and / or B," or "one or more of A or / and B" can include all possible combinations of the listed items. For example, "A or B," "at least one of A and B," or "at least one of A or B" can all refer to cases where (1) at least one A is included, (2) at least one B is included, or (3) at least one A and at least one B are included.

[0038] The terms "first," "second," "first," or "second," as used herein, may describe various components, regardless of order and / or importance, and are only used to distinguish one component from another, without limiting the components. For example, a first user device and a second user device may represent different user devices, regardless of order or importance. For example, without departing from the scope of the rights set forth in this document, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component.

[0039] When it is said that a component (e.g., a first component) is "(operatively or communicatively) coupled with / to" or "connected to" another component (e.g., a second component), it should be understood that the component is directly coupled to the other component, or can be connected via another component (e.g., a third component). Conversely, when it is said that a component (e.g., a first component) is "directly coupled to" or "directly connected to" another component (e.g., a second component), it should be understood that no other component (e.g., a third component) exists between the first component and the other component.

[0040] The expression "configured to" as used herein can be used interchangeably with, for example, "suitable for," "having the capacity to," "designed to," "adapted to," "made to," or "capable of." The term "configured to" does not necessarily mean something is "specifically designed to" in hardware. Instead, in some contexts, the expression "a device configured to" can mean that the device, together with other devices or components, is "capable of." For example, the phrase "a processor configured (or set) to perform A, B, and C" may mean a dedicated processor (e.g., an embedded processor) for performing those operations, or a general-purpose processor (e.g., a CPU or application processor) that can perform those operations by executing one or more software programs stored in a memory device.

[0041] The terms used in this document are used only to describe specific embodiments and may not be intended to limit the scope of other embodiments. The singular expression may include the plural expression unless the context clearly indicates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by those of ordinary skill in the art described in this document. Terms defined in general dictionaries among the terms used in this document may be interpreted as having the same or similar meaning in the context of the relevant technology, and shall not be interpreted in an idealized or overly formal sense unless explicitly defined in this document. In some cases, even if a term is defined in this document, it cannot be interpreted to exclude the embodiments of this document.

[0042] The individual features of the various embodiments of the present invention can be partially or wholly combined or combined with each other, and as can be fully understood by those skilled in the art, various technical connections and operations are possible, and each embodiment can be implemented independently of each other or can be implemented together in a related relationship.

[0043] For clarity in the interpretation of this specification, the terms used in this specification are defined below.

[0044] As used herein, the term "brainwave data" may refer to EEG (electroencephalogram) signal values ​​recorded by a sensor that detects brain waves. More specifically, the brainwave data may be a brainwave signal of a positive potential response that appears after a stimulus of a certain intensity.

[0045] Meanwhile, since brainwave data is a signal or signal value obtained from a sensor, it can be interpreted in the same meaning as sensor data or sensing data.

[0046] According to a feature of the present invention, the brainwave data includes Fp1, Fp2, F3, Fz, F4, F8, T7, C3, C4, Cz, T8, P7, P3, Pz, P4, P8, O1, O2, FCz, TP9, TP10, Oz, AFz, F7, Fpz, AF7, AF3, AF4, AF8, F9, F5, F1, F2, F6, F10, FT9, FT7, FC5, FC3, FC1, FC2, FC4, FC6, FT8, FT10, C5, C1, C2, C6, TP7, CP5, CP3, CP1, CPz, CP2, CP4, CP6, TP8, P9, P5, P1, P2, P6, P10, PO9, PO7, PO3, POz, PO4, PO8, PO10, O9, It may also include EEG data measured from at least one electrode of Iz, O10, F11, F12, FT11, FT12, TP11, TP12, PO11, PO12, P11, P12, I11, I12 and IIz.

[0047] According to a feature of the present invention, the brain wave data may be brain wave data obtained in a resting state in which no stimulation is applied to an object, but is not limited thereto.

[0048] As used herein, the term "heart rate data" may refer to ECG (electrocardiogram) and blood pressure PPG (photoplethysmography) signal values ​​recorded by a sensor that detects heartbeats. More specifically, heart rate data may be data indicating changes or variability in the time intervals between heartbeats (peak-to-peak).

[0049] Hereinafter, the present invention will be described in detail by describing a preferred embodiment of the present invention with reference to the attached drawings.

[0050] FIG. 1 is a schematic diagram of a system for providing brain and mind health information according to one embodiment of the present invention.

[0051] Referring to FIG. 1, a brain and mind health information providing system (10) according to one embodiment of the present invention may include a sensing device (100) that measures a user's biometric data, a user device (200) carried by the user, and a mind health information providing device (300) that diagnoses the user's brain health and mind health based on the biometric data.

[0052] The sensing device (100) is a device capable of acquiring the user's biometric data, and may include various devices capable of measuring the user's heartbeat depending on the type of biometric data. For example, the sensing device (100) may be a wearable device worn on the user's wrist, and the user's electrocardiogram data may be acquired through the wearable device. As another example, the sensing device (100) may correspond to the user device (200), or may be a sensing device (100) that is detachably attached to a body part of the user, and through this, the user's pulse wave data (PhotopleThysmoGraphy) based on changes in blood flow in the body, such as the fingertips or earlobes, may be acquired. As another example, the sensing device (100) may be a patch-type device that adheres closely to the user's scalp, and through this, the user's brain wave data may be acquired.

[0053] In the present invention, biometric data related to a user's mental health may be data capable of extracting temporal fluctuations in heartbeats, rather than changes in heart rate. In other words, biometric data for diagnosing mental health may include all types of biometric data capable of assessing the balance between the sympathetic and parasympathetic nerves of the autonomic nervous system and their respective activity levels.

[0054] The user device (200) is a device carried by the user that can check brain and mind health information, and may include a smartphone, a tablet PC, a PC, a laptop, etc. Specifically, the user device (200) can transmit at least two types of biometric data (e.g., brain wave data and heartbeat data) measured by the sensing device (100) to the brain and mind health information providing device (300). The user device (200) can receive and output an interface for a brain health type and a mind health type classified by the user based on the brain health index and the mind health index, and a management and treatment guide according to the type from the brain and mind health information providing device (300). For example, the user device (200) can output a user interface screen that represents a management and treatment guide according to the brain health type and the mind health type.

[0055] In various embodiments, the user device (200) may output a psychological test interface for measuring the user's psychological state, such as depression or anxiety. For example, the user device (200) may receive a questionnaire for the user's psychological test from the brain and mental health information providing device (300) and obtain the user's responses thereto.

[0056] The brain and mind health information providing device (300) may include a general-purpose computer, laptop, and data server that perform various operations to provide management and treatment guides to the user based on two types of biometric data (e.g., brain wave data and heart rate data) measured by the sensing device (100). Specifically, the brain and mind health information providing device (300) may refine brain wave data and heart rate data into data for calculating a brain health index and a heart health index. For example, the brain and mind health information providing device (300) may filter brain wave data to extract brain activity data for a specific frequency band. As another example, the brain and mind health information providing device (300) may extract heart rate variability (HRV) data from heart rate data.

[0057] The brain and mind health information providing device (300) may provide a user interface that outputs information related to brain health indices and mind health indices (e.g., brain health types, mind health types, and management and treatment guides). For example, the brain and mind health information providing device (300) may provide a mobile or web application / program that can be installed or executed on a user device (200), and may visually provide the user's brain and mind health information through the mobile or web application / program.

[0058] So far, a brain and mind health information system (10) according to one embodiment of the present invention has been described, and below, a user device (200) that outputs a user interface screen for brain and mind health information will be described with reference to FIG. 2.

[0059] Figure 2 is a schematic diagram showing the configuration of a user device according to one embodiment of the present invention.

[0060] Referring to FIG. 2, the user device (200) may include a memory interface (210), one or more processors (220), and a peripheral interface (230). Various components within the user device (200) may be connected by one or more communication buses or signal lines.

[0061] The memory interface (210) is connected to the memory (250) and can transmit various data to the processor (220). Here, the memory (250) can include at least one type of storage medium among flash memory type, hard disk type, multimedia card micro type, card type memory (e.g., SD or XD memory, etc.), RAM, SRAM, ROM, EEPROM, PROM, network storage, cloud, and blockchain database.

[0062] In various embodiments, the memory (250) may store the user's biometric data (brain wave data and heart rate data) and the user's psychological test results. Furthermore, the memory (250) may store each configuration of a user interface for outputting the user's brain health index, mental health index, and management and treatment guide calculated based on the biometric data.

[0063] In various embodiments, the memory (250) may store at least one of an operating system (251), a communication module (252), a graphical user interface module (GUI) (253), a sensor processing module (254), a telephone module (255), and an application module (256). Specifically, the operating system (251) may include instructions for processing basic system services and instructions for performing hardware operations. The communication module (252) may communicate with at least one of one or more other devices, computers, and servers. The graphical user interface module (GUI) (253) may process a graphical user interface. The sensor processing module (254) may process sensor-related functions (e.g., processing voice input received through one or more microphones (292). The telephone module (255) may process telephone-related functions. The application module (256) may perform various functions of a user application, such as electronic messaging, web browsing, media processing, navigation, imaging, and other processing functions. Additionally, the user device (100) can store one or more software applications (256-1, 256-2) associated with a type of service (e.g., an application for providing brain and mind health information) in the memory (250).

[0064] In various embodiments, the memory (250) may store a digital assistant client module (257) (hereinafter, DA client module), and accordingly, may store commands for performing client-side functions of the digital assistant and various user data (258) (e.g., user-customized vocabulary data, preference data, other data such as the user's electronic address book, etc.).

[0065] Meanwhile, the DA client module (257) can obtain the user's voice input, text input, touch input, and / or gesture input through various user interfaces (e.g., I / O subsystem (240)) provided in the user device (200).

[0066] Additionally, the DA client module (257) can output data in audiovisual and tactile forms. For example, the DA client module (257) can output data consisting of a combination of at least two or more of voice, sound, notification, text message, menu, graphic, video, animation, and vibration. In addition, the DA client module (257) can communicate with a digital assistant server (not shown) using a communication subsystem (280).

[0067] In various embodiments, the DA client module (257) may collect additional information about the surroundings of the user device (200) from various sensors, subsystems, and peripheral devices to construct a context associated with the user input. For example, the DA client module (257) may provide context information along with the user input to a digital assistant server to infer the user's intent. Here, the context information that may accompany the user input may include sensor information, such as lighting, ambient noise, ambient temperature, images of the surroundings, videos, etc. As another example, the context information may include the physical state of the user device (200) (e.g., device orientation, device position, device temperature, power level, speed, acceleration, motion patterns, cellular signal strength, etc.). As yet another example, the context information may include information related to the software state of the user device (200) (e.g., processes running on the user device (200), installed programs, past and present network activity, background services, error logs, resource usage, etc.).

[0068] In various embodiments, the memory (250) may include added or deleted instructions, and further, the user device (200) may include additional configurations other than those illustrated in FIG. 2, or may exclude some configurations.

[0069] The processor (220) can control the overall operation of the user device (200) and execute various commands to implement a user interface that provides brain and mind health information by running an application or program stored in the memory (250).

[0070] The processor (220) may correspond to a computing device such as a CPU (Central Processing Unit) or an AP (Application Processor). In addition, the processor (220) may be implemented in the form of an integrated chip (IC), such as a SoC (System on Chip) that integrates various computing devices that perform machine learning, such as an NPU (Neural Processing Unit).

[0071] In various embodiments, the processor (220) may obtain the user's biometric data (brain wave data and heartbeat data) through sensors built into the sensing device (100) or the user device (100) and transmit the same to the brain and mind health information providing device (300). The processor (220) may output a user interface screen indicating the results of diagnosing the user's brain health type and mind health type from the brain and mind health information providing device (300). The processor (220) may provide various contents (detailed description of diagnosis contents, symptoms, treatment contents) related to the mind health index and brain health index according to the user's interaction through the user interface screen.

[0072] The peripheral interface (230) can be connected to various sensors, subsystems, and peripheral devices to provide data so that the user device (200) can perform various functions. Here, the function performed by the user device (200) can be understood as being performed by the processor (220).

[0073] The peripheral interface (230) can receive data from a motion sensor (260), a light sensor (light sensor) (261), and a proximity sensor (262), through which the user device (200) can perform orientation, light, and proximity detection functions, etc. For another example, the peripheral interface (230) can receive data from other sensors (263) (positioning system - GPS receiver, temperature sensor, biometric sensor), through which the user device (200) can perform functions related to the other sensors (263).

[0074] In various embodiments, the user device (200) may include a camera subsystem (270) connected to a peripheral interface (230) and an optical sensor (271) connected thereto, through which the user device (200) may perform various photographing functions, such as taking pictures and recording video clips.

[0075] In various embodiments, the user device (200) may include a communication subsystem (280) connected to a peripheral interface (230). The communication subsystem (280) may be comprised of one or more wired / wireless networks and may include various communication ports, radio frequency transceivers, and optical transceivers.

[0076] In various embodiments, the user device (200) includes an audio subsystem (290) coupled to the peripheral interface (230), the audio subsystem (290) including one or more speakers (291) and one or more microphones (292), such that the user device (200) can perform voice-activated functions, such as voice recognition, voice replication, digital recording, and telephony.

[0077] In various embodiments, the user device (200) may include an I / O subsystem (240) connected to a peripheral interface (230). For example, the I / O subsystem (240) may control a touch screen (243) included in the user device (200) via a touch screen controller (241).

[0078]

[0079] *For example, the touch screen controller (241) may detect a user's contact and movement or cessation of contact and movement using any one of a plurality of touch sensing technologies, such as capacitive, resistive, infrared, surface acoustic wave technology, proximity sensor array, etc. As another example, the I / O subsystem (240) may control other input / control devices (244) included in the user device (200) via other input controller(s) (242). As an example, the other input controller(s) (242) may control one or more buttons, rocker switches, thumb wheels, infrared ports, USB ports, and pointer devices, such as a stylus.

[0080] So far, a user device (200) according to one embodiment of the present invention has been described, and below, with reference to FIG. 3, a brain and mind health information providing device (300) that provides a service for diagnosing a user's brain health and mind health will be described.

[0081] Figure 3 is a block diagram showing the configuration of a brain and mind health information providing device according to one embodiment of the present invention.

[0082] Referring to FIG. 3, the brain and mind health information providing device (300) may include a communication interface (310), a memory (320), an I / O interface (330), and a processor (340), and each component may communicate with each other through one or more communication buses or signal lines.

[0083] The communication interface (310) can be connected to the sensing device (100) and the user device (200) via a wired / wireless communication network to exchange data. For example, the communication interface (310) can receive biometric data about a specific user from the sensing device (100) or the user device (200). As another example, the communication interface (310) can transmit a user interface to the user device (200) to provide a management and treatment guide tailored to the user's brain health type and mental health type.

[0084] Meanwhile, the communication interface (310) that enables transmission and reception of such data includes a wired communication port (311) and a wireless circuit (312), wherein the wired communication port (311) may include one or more wired interfaces, for example, Ethernet, Universal Serial Bus (USB), FireWire, etc. In addition, the wireless circuit (312) may transmit and receive data with an external device via an RF signal or an optical signal. In addition, the wireless communication may use at least one of a plurality of communication standards, protocols, and technologies, for example, GSM, EDGE, CDMA, TDMA, Bluetooth, Wi-Fi, VoIP, Wi-MAX, or any other suitable communication protocol.

[0085] The memory (320) can store various data used in the brain and mind health information providing device (300). For example, the memory (320) can store user-specific biometric data (e.g., brain wave data and heartbeat data), reference values ​​for classifying brain health types and mind health types, distribution results of users' brain health indices and mind health indices, etc.

[0086] In various embodiments, the memory (320) may include a volatile or non-volatile storage medium capable of storing various data, commands, and information. For example, the memory (320) may include at least one type of storage medium among a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (e.g., an SD or XD memory, etc.), RAM, SRAM, ROM, EEPROM, PROM, network storage, cloud, and blockchain database.

[0087] In various embodiments, the memory (320) may store configurations of at least one of an operating system (321), a communication module (322), a user interface module (323), and one or more applications (324).

[0088] An operating system (321) (e.g., embedded operating systems such as LINUX, UNIX, MAC OS, WINDOWS, VxWorks, etc.) may include various software components and drivers to control and manage general system operations (e.g., memory management, storage device control, power management, etc.) and may support communication between various hardware, firmware, and software components.

[0089] The communication module (323) can support communication with other devices through the communication interface (310). The communication module (220) can include various software components for processing data received by the wired communication port (311) or wireless circuit (312) of the communication interface (310).

[0090] The user interface module (323) can receive a user's request or input from a keyboard, touch screen, keyboard, mouse, microphone, etc. through an I / O interface (330) and provide a user interface on the display.

[0091] The application (324) may include a program or module configured to be executed by one or more processors (340). Here, the application for providing brain and mind health information may be implemented on a server farm.

[0092] The I / O interface (330) can connect at least one of input / output devices (not shown) of the brain and mind health information providing device (300), such as a display, a keyboard, a touch screen, and a microphone, to the user interface module (323). The I / O interface (330) can receive user input (e.g., voice input, keyboard input, touch input, etc.) together with the user interface module (323) and process commands according to the received input.

[0093] The processor (340) is connected to a communication interface (310), a memory (320), and an I / O interface (330) to control the overall operation of the brain and mind health information providing device (300), and can perform various commands for extracting standard plane information from an ultrasound image through an application or program stored in the memory (320).

[0094] The processor (340) may correspond to a computing device such as a CPU (Central Processing Unit) or an AP (Application Processor). Furthermore, the processor (340) may be implemented in the form of an integrated chip (IC), such as a SoC (System on Chip) in which various computing devices are integrated. Alternatively, the processor (340) may include a module for calculating an artificial neural network model, such as an NPU (Neural Processing Unit).

[0095] Hereinafter, with reference to FIGS. 4 to 7, a method for providing a user interface for providing brain and mind health information by a processor (340) of a brain and mind health information providing device (300) will be described.

[0096] Figure 4 is a schematic flowchart of a method for providing brain and mind health information according to one embodiment of the present invention.

[0097] Referring to FIG. 4, the processor (340) can obtain the user's brainwave data and heartbeat data (S110). For example, the processor (340) can obtain the user's heartbeat data from the user device (200) and the user's brainwave data from the sensing device (100).

[0098] In various embodiments, the processor (340) may further obtain user psychological test result data from the user device (200). Specifically, the processor (340) may provide the user device (200) with a psychological test interface including questions for the user's psychological test. The processor (340) may utilize the user's answers obtained through the psychological test interface as data for determining the user's psychological state, such as depression or anxiety.

[0099] In various embodiments, the processor (340) may calculate the user's brain activity for any one frequency band based on the user's brainwave data. For example, the processor (340) may obtain brain activity divided into theta wave (θ) of 4 to 8 Hz, low-alpha wave (Lα) of 8 to 10 Hz, high-alpha wave (Hα) of 10 to 12 Hz, low-beta wave (Lβ) of 12 to 15 Hz, high-beta wave (Hβ) of 15 to 20 Hz, middle-beta wave (Mβ) of 30 to 41 Hz, and gamma wave (γ) of 30 to 41 Hz as data for calculating a brain health index.

[0100] In various embodiments, the processor (340) may extract heart rate variability (HRV) data based on the user's heart rate data. More specifically, heart rate variability is an indicator that can predict cardiovascular function in response to stress or anxiety, and the processor (340) may extract values ​​corresponding to a VLF (Very Low Frequency) component of 0 to 0.04 Hz, an LF (Low Frequency) component of 0.04 to 0.15 Hz, an HF (High Frequency) component of 0.15 to 0.4 Hz, and a TP (Total Power; the sum of HF, LF, VLF, etc.) from the heart rate data. Here, the HF component is an indicator of parasympathetic nervous system activity, and its activity level changes depending on breathing, the LF component is an indicator of sympathetic nervous system activity, and represents a cognitive load for information processing, and the VLF component is related to body temperature regulation.

[0101] After step S110, the processor (340) can calculate a brain health index indicating brain activity, brain flexibility, brain intelligence, and brain balance based on brain wave data, and can calculate a mental health index indicating autonomic nervous system activity, autonomic nervous system balance, stress index, and stress resistance based on heart rate data (S120). More specifically, the processor (340) can calculate brain activity for each frequency band. In addition, the processor (340) can calculate autonomic nervous system activity for each of a plurality of frequency domains based on heart rate variability data extracted from heart rate data. In addition, the processor (340) can calculate autonomic nervous system balance for the sympathetic and parasympathetic nerves based on the autonomic nervous system activity for each of a plurality of frequency domains. In addition, the processor (340) can also calculate strengths between a plurality of nodes constituting a brain network based on the brain activity for each of a plurality of frequency bands, and can calculate Normalized LF, Normalized HF, LF / HF ratio, etc. based on heart rate variability data.

[0102] After step S120, the processor (340) can determine the user's brain health type and mental health type based on the calculated brain health index and mental health index (S130). The brain health type and mental health type can be understood as indicators for providing appropriate management and treatment guidance to the user. For example, the brain health types that the processor (340) can determine can be defined as in [Table 1] to [Table 6] below. The processor (340) can provide keywords related to physical and emotional characteristics to the user device (200) based on the brain health type.

[0103] Brain Health Types Foggy Difficulty concentrating, forgetfulness, feelings of incompetence, dementia Description Brain wave activity is significantly low, so cognitive and thinking activities are hazy, as if covered in fog, and overall concentration is low. Therapeutic suggestions Brain activation (reading, games, solving puzzles), cognitive training, cognitive behavioral therapy, aerobic exercise that makes you sweat (more than 3 times a week, more than 30 minutes at a time) Lifestyle management TIP 1. Reading: Reading is the most basic and important activity for brain development. Unlike videos or digital media, reading actively uses the entire brain, so it is one of the ways to improve brain fog by developing the brain. 2. Regular walking and running Regular walking and running increases brain plasticity, which is the characteristic of the brain where the function or structure changes according to the environment or experience. Through this, it can help develop the brain's memory and learning ability. 3. Puzzles improve memory, concentration, and reasoning skills. If you have low brain activity, puzzles can stimulate cognitive and thinking skills, boosting your concentration.

[0104] Brain Health Types Mindful Meditation, mindfulness, self-regulation, control, drowsiness Description Brain wave activity is maintained high, and cognitive and thinking activities are regulated to exclude excitement, maintaining a calm state. Therapeutic Suggestion Forming regular lifestyle habits, light walking, forming and strengthening motivation Lifestyle Management TIP 1. Forming regular lifestyle habits: In order to maintain the current state, it is very helpful to have a goal for a certain period of time and have regular lifestyle habits. Regular habits can improve concentration and creativity by consuming less energy, and can help improve brain function. 2. Light walking: Light walking is good for cerebrovascular and cardiovascular health. Regular 30-minute walks can help improve cognitive ability, memory, and structural development of the brain by amplifying alpha waves in the frontal lobe. 3. Motivation formation and strengthening: Forming and strengthening motivation through a sense of purpose and passion can improve creativity, memory, perseverance, and satisfaction through the secretion of dopamine, the main hormone of the brain's reward system.

[0105] Brain Health Types: Gifted (Talented) Concentration, agility, smartness, gifted Description: High brain wave activity is maintained, and not only is the concentration high in cognitive and thinking activities, but clarity and brilliant creativity stand out. Therapeutic Suggestions: Balanced reading, various experiential activities, various learning activities Lifestyle Management TIP 1. Balanced reading: Balanced reading is the most basic and important activity for brain development. Unlike videos or digital media, reading actively uses the entire brain, which can help with concentration and stress relief. 2. Various experiential activities: Experiential activities provide various experiences and change the brain. Through this, the brain is stimulated and activated, and brain connectivity is strengthened, which can have a positive effect on brain health. 3. Learning activities: Various learning activities such as board games, self-development, and study club activities help continuously stimulate the brain and can have a positive effect on brain health. This can also improve attention, perception, and memory.

[0106] Brain Health Type: Tense (Tense) Burden, tension, obsession, insomnia Description: Brain wave activity is significantly high, so cognitive and thinking activities seem to be overloaded, and they are overly aroused and sensitive to various stimuli. Therapeutic suggestions: Mindfulness training, rest, spaced-out (fishing, fire spaced-out, water spaced-out, ocean view), progressive muscle relaxation training, cognitive behavioral therapy, light walking (more than 30 minutes at a time, 3 times a week or more) Lifestyle management tips 1. Spaced-out: Spaced-out is a good way to give the brain a rest. When the brain is inactive, a specific area of ​​the brain called the default mode network (DMN) is activated, and it has the effect of reducing the activity of other unnecessary brain areas, which can help improve concentration and creativity. 2. Meditation: Meditation can help reduce anxiety and stress, and improve brain function. Meditation strengthens the connectivity between areas of the brain that control emotions and cognition, which can help improve anxiety and stress. 3. Light walking: 30 minutes a day, 3 times a week Light walking, such as this, is beneficial for cerebrovascular and cardiovascular health. Walking briskly enough to break a sweat can increase blood flow to the brain, helping to improve cognitive and cognitive function.

[0107] Brain Health Types Foggy-tense Burden, tension, difficulty concentrating, forgetfulness Explanation Brain wave activity irregularly repeats high and low, so cognitive and thinking activities frequently go back and forth between hyperactivity and hypoactivity, making it difficult to maintain concentration. Therapeutic Suggestions Rest, mindfulness training, stability, light brain activation (reading, games, solving puzzles), cognitive training, light walking and running (more than 3 times a week, more than 30 minutes at a time), behavioral activation Lifestyle Management TIP 1. Balanced reading: Balanced reading is the most basic and important activity for brain development. Unlike videos or digital media, reading actively uses the entire brain, which can help with concentration and stress relief. 2. Meditation: Meditation can help reduce anxiety, stress, and improve brain function. Meditation strengthens the connections between areas of the brain that control emotions and cognition, which can help alleviate anxiety and stress. 3. Regular walking and running: Regular walking and running increases brain plasticity, which is the ability of the brain's function and structure to change in response to environment or experience. This can help develop the brain's memory and learning ability.

[0108] Brain Health Type: Stable, Balanced, Healthy Description: Brainwave activity is appropriate, so cognitive and thinking activities remain normally activated, maintaining overall concentration and enabling higher-order cognition. Therapeutic Suggestions: Regular Eating Habits, Deep Sleep, and Rest Lifestyle Management Tips 1. Deep Sleep: Get deep sleep to maintain your current state. Deep sleep helps the secretion of various hormones, ensuring sufficient rest. It is very good to keep a consistent wake-up time, and 90 minutes of deep sleep after going to bed is very important. Deep sleep helps stabilize the sympathetic nervous system and balance the autonomic nervous system. 2. Rest: Appropriate rest strengthens resilience and prepares the body and mind to withstand repeated stress. Appropriate rest can also improve performance and learning abilities, which can help enhance memory. 3. Regular Eating Habits: Regular eating habits, such as not skipping breakfast, provide the brain with the energy it needs, maximizing brain activity, maintaining health, and slowing down brain aging.

[0109] In various embodiments, the processor (340) may determine the user's brain health type based on whether each of the brain activities for each of the plurality of frequency bands exceeds a preset range. Specifically, the processor (340) may determine whether the user's brain activity exceeds a normal range based on a reference normal range for each frequency band previously stored in the memory (320). If, as a result of the determination by the processor (340), the brain activity in any one of the plurality of frequency bands exceeds a preset range, the processor (340) may determine the user's brain health type based on the corresponding frequency band. For example, if the brain activity in the Theta frequency band among the brain activities is higher than the normal range, the processor (340) may determine the user's brain health type as "Foggy". As another example, if the brain activity in the Low-Alpha frequency band among the brain activities is higher than the normal range, the processor (340) may determine the user's brain health type as "Differential". For another example, the processor (340) may determine the user's brain health type as "gifted" if the brain activity in the High-Alpha frequency band among the brain activities is higher than the normal range. For another example, the processor (340) may determine the user's brain health type as "tension" if the brain activity in at least one of the Low-Beta, Middle-Beta, High-Beta, and Gamma frequency bands among the brain activities is higher than the normal range.

[0110] In contrast, if, as a result of the judgment of the processor (340), the brain activity in at least two frequency bands among the brain activity in each of the plurality of frequency bands exceeds a preset range, the processor (340) may distinguish a frequency band corresponding to the exceeding of the preset range. Thereafter, the processor (340) may determine the user's brain health type based on at least one of the distinguished frequency bands. For example, if the brain activity in the Theta frequency band and the high-frequency region (e.g., at least one region among Low-Beta, Middle-Beta, High-Beta, and Gamma) among the brain activities is simultaneously higher than the normal range, the processor (340) may determine the user's brain health type as "Foggy-Tense".

[0111] In addition, depending on the type of the distinguished frequency band, the processor (340) can calculate the difference between the brain activity in at least two distinguished frequency bands and the upper limit value from the preset range. The processor (340) can determine the brain health type of the user based on the frequency band with the largest difference in the calculated upper limit value. For example, if the brain activity in the Low-Beta and High-Alpha frequency bands among the brain activities is higher than the normal range, the processor (340) can determine the brain health type of the user as “tension type” or “gifted type” based on the frequency band with the largest difference in the upper limit value.

[0112] Meanwhile, as a result of the judgment of the processor (340), there may be cases where the brain activity for each of multiple frequency bands falls within the standard normal range for each frequency band previously stored in the memory (320). If the brain activity for all frequency bands falls within the preset range, the processor (340) may specify the user's brain health type as one type. For example, if the brain activity is calculated to be low in all frequency ranges, the processor (340) may determine the user's brain health type as "stable."

[0113] For another example, the mental health types that can be determined by the processor (340) may be defined as in [Table 7] to [Table 12] below. The processor (340) may provide keywords related to physical and emotional characteristics to the user device (200) according to the mental health type.

[0114] Mental Health TypesMind WeakHeart palpitations, shortness of breath, depression, sweating, indigestion, headachesDescriptionThe autonomic nervous system is generally weak, so the ability to cope with changes in the external environment and stress is relatively low.Therapeutic SuggestionsMeditation (mindfulness), rest, travel, light walking, behavioral activation, supportive counseling, aerobic exerciseLifestyle Management TIP1. Meditation: Meditation can help relieve tension and anxiety and encourage a positive mindset. In addition, meditative breathing stimulates the autonomic nervous system, which can increase heart rate variability.2. Light walking: Light walking for 30 minutes a day, three or more times a week is beneficial for cerebrovascular and cardiovascular health. Walking lightly enough to make you sweat helps the autonomic nervous system function smoothly, relieves stress, and provides mental stability.3. Travel: Travel increases a person's vitality, increases resistance to environmental changes, and

[0115] Mental Health Types Weak-depressive Low energy, lethargy, stress, indigestion, headache Description This is a lethargic state where the autonomic nervous system is generally weak, physiological balance is broken, and the ability to cope with changes in the external environment and relieve stress is reduced. Therapeutic suggestions Stability, rest, supportive counseling, aerobic exercise (running), mindfulness training, behavioral activation, meeting a mental health professional Lifestyle management TIP 1. Stability: If you stop what you are doing and take a rest, you can relieve the major psychological and mental stress that causes problems with the autonomic nervous system, and maintain functional balance. Stability can eliminate risk factors such as overwork and fatigue and prevent problems such as anxiety and panic symptoms. 2. Walking and running Regular walking and running increases brain plasticity, which is the characteristic of the brain where the function and structure change according to the environment or experience. When you run, the heart supplies a large amount of blood to the body. In other words, it promotes increased sympathetic nerve activity, thereby biologically lowering stress, reducing depression, and improving concentration. 3. Meet with a mental health professional: An imbalance in the autonomic nervous system caused by excessive stress can seriously impair daily function and even pose a threat to life. With appropriate medication from a professional, you can quickly and effectively return to your daily life.

[0116] Mental Health Types Weak-anxious Excessive anxiety, tension, impulsivity Description The autonomic nervous system is generally weak, physiologically unbalanced, and very sensitive to changes in the external environment and stress, resulting in excessive tension. Therapeutic suggestions Stability, rest, light walking, progressive muscle relaxation training, mindfulness training, cognitive behavioral therapy, behavioral activation, meeting a mental health professional Lifestyle management tips 1. Stability: Stopping what you are doing and taking a rest can relieve major psychological and mental stress, which is the main cause of autonomic nervous system problems, and help maintain functional balance. Stability can eliminate risk factors such as overwork and fatigue and prevent problems such as anxiety and panic symptoms. 2. Light walking: Light walking for 30 minutes a day, three or more times a week, is beneficial for cerebrovascular and cardiovascular health. Walking lightly enough to make you sweat helps the autonomic nervous system function smoothly, relieves stress, and provides mental stability. 3. Meeting a mental health professional: Autonomic nervous system imbalances can cause serious functional impairments in daily life and can even be life-threatening. With appropriate medication and expert treatment, you can quickly and effectively return to your normal routine.

[0117] Mental Health Types: Anxiety, Tension: When the autonomic nervous system is out of balance, it is easily affected by the external environment and stress, leading to acute symptoms such as anxiety and excitement. Treatment: Rest, relaxation, progressive muscle relaxation training, mindfulness training, cognitive behavioral therapy, light walking, psychological counseling. Lifestyle Management Tips: 1. Meditation: Meditation can help relieve tension and anxiety and encourage a positive mindset. Additionally, meditative breathing can stimulate the autonomic nervous system, which can increase heart rate variability. 2. Light walking: Light walking is beneficial for cerebrovascular and cardiovascular health. Regular 30-minute exercise can help alleviate stress and provide mental stability by improving the functioning of the autonomic nervous system. 3. Get psychological counseling: Psychological counseling not only helps identify the causes of the psychological symptoms an individual is experiencing, but also suggests customized treatment methods. Experienced professionals can provide empathy and understanding, an emotionally safe environment, and effective ways to improve one's life.

[0118] Mental Health Types: Depressive (Depressed) Depression, Lethargy Description: The physiological balance of the autonomic nervous system is disrupted, leading to a decline in overall health and bioenergy accumulated by external factors and stress, and persistent feelings of depression. Therapeutic Suggestions: Stability, rest, light walking, aerobic exercise (running), mindfulness (meditation) training, cognitive behavioral therapy, behavioral activation, psychological counseling. Lifestyle Management Tips: 1. Meditation: Meditation can help relieve tension and anxiety and encourage a positive mindset. Additionally, meditative breathing stimulates the autonomic nervous system, which can increase heart rate variability. 2. Walking and RunningRegular walking and running increases brain plasticity, the brain's ability to change function and structure in response to environment and experience. When you run, your heart pumps a large amount of blood to your body. This promotes increased sympathetic nerve activity, which biologically reduces stress, reduces depression, and improves concentration.3. Get psychological counseling: Psychological counseling not only helps you understand the causes of your psychological symptoms but also provides personalized treatment methods. You can receive empathy and understanding from a skilled professional, an emotionally safe environment, and effective ways to improve your life.

[0119] Mental Health Types: Stable, Balanced, Healthy. Description: The autonomic nervous system maintains a physiological balance, allowing it to respond quickly and appropriately to external factors and stressors, stably regulating itself. Therapeutic Suggestions: Regular Eating Habits, Sleep, and Adequate Rest. Lifestyle Management Tips: 1. Regular Eating Habits: Regular eating habits are important to maintain your current state. By maintaining regular eating habits, such as not skipping breakfast, you can maintain a healthy body, effectively cope with stress, and improve your satisfaction and quality of life. 2. Deep Sleep: Sleep helps with the secretion of various hormones, ensuring sufficient rest. Maintaining a regular sleep pattern of at least seven hours is recommended, and maintaining a consistent wake-up time is crucial. Deep sleep helps stabilize the sympathetic nervous system and balance the autonomic nervous system. 3. Rest: Appropriate rest strengthens resilience and prepares the body and mind to cope with recurring stress. Furthermore, rest stabilizes the autonomic nervous system and relaxes muscles, helping to relieve stress.

[0120] In various embodiments, the processor (230) may determine the user's mental health type using the autonomic nervous system activity and autonomic nervous system balance for each of a plurality of frequency domains. Specifically, the processor (340) may determine the user's mental health type based on whether the relative ratio between the sympathetic and parasympathetic nerves in the autonomic nervous system balance exceeds a preset ratio. For example, if the processor (340) determines that the parasympathetic nerve ratio in the autonomic nervous system balance exceeds 75%, the processor (340) may determine the user's mental health type as "depressed." As another example, if the processor (340) determines that the sympathetic nerve ratio in the autonomic nervous system balance exceeds 75%, the processor (340) may determine the user's mental health type as "anxious."

[0121] Additionally, the processor (340) may determine the user's mental health type based on whether the autonomic nervous system activity in at least two frequency domains among multiple frequency domains falls below a preset range. For example, if the autonomic nervous system activity in two or more frequency domains falls below a preset normal range, the processor (340) may determine the user's mental health type as "weak-minded."

[0122] In addition, the processor (340) can determine the user's mental health type by combining the autonomic nervous system activity and the autonomic nervous system balance. Specifically, the processor (340) can determine the dominant nerve between the sympathetic nerve and the parasympathetic nerve in the autonomic nervous system balance when the autonomic nervous system activity in at least two frequency domains is below a preset range. Different mental health types can be determined based on the determination result of the processor (340). For example, the processor (340) can determine the user's mental health type as "weak-depressed" when the autonomic nervous system activity in two or more frequency domains is below a preset normal range and the parasympathetic nerve ratio in the autonomic nervous system balance exceeds 75%. As another example, the processor (340) can determine the user's mental health type as "weak-anxious" when the autonomic nervous system activity in two or more frequency domains is below a preset normal range and the sympathetic nerve ratio in the autonomic nervous system balance exceeds 75%.

[0123] Meanwhile, as a result of the judgment of the processor (340), there may be a case where the autonomic nervous system activity in at least three frequency domains among the autonomic nervous system activity in each of a plurality of frequency domains exceeds a preset range and the relative ratio in the autonomic nervous system balance is below a preset range. In this case, the processor (340) may specify the user's mental health type as a certain type. For example, if the user's autonomic nervous system activity and autonomic nervous system balance do not satisfy any judgment criteria, the processor (340) may determine the user's mental health type as "stable."

[0124] In this way, the processor (340) can specify the user's brain health type and mental health type by using the brain health index indicating brain activity and the autonomic nervous system activity and autonomic nervous system balance calculated based on heart rate data.

[0125] After step S130, the processor (340) may provide a service interface screen for providing a management and treatment guide to the user based on the determined brain health type and mental health type (S140). Meanwhile, prior to providing the management and treatment guide to the user, an interface screen may be provided that outlines the brain health type and mental health type that serve as the basis for providing the management and treatment guide.

[0126] In relation to this, FIG. 5 is a schematic diagram for explaining the types of mind health and brain health distinguished in a brain and mind health information providing device according to one embodiment of the present invention.

[0127] Referring to FIG. 5, the processor (340) may provide the user with an interface screen including graphic objects (11) and (12) that classify brain health types and mental health types, so that the user can check which type and state his or her current state is close to. For example, the brain health types (11) may be classified into “foggy type,” “calm type,” “gifted type,” “tension type,” “foggy-tension type,” and “stable type,” and the mental health types (12) may be classified into “weak type,” “weak-depressed type,” “weak-anxious type,” “anxiety type,” “depressed type,” and “stable type.” However, the terms defining the brain health types and mental health types are merely exemplary for describing the present invention and are not limited thereto. The processor (340) may provide keywords regarding physical and emotional characteristics for each brain health type and mental health type, thereby helping the user understand each type. For example, keywords for "foggy-tense", one of the brain health types, may be matched with "burden, forgetfulness, difficulty concentrating", and keywords for "weak-anxious", one of the mental health types, may be matched with "excessive anxiety, tension, impulsivity".

[0128] In various embodiments, the service interface screen may include an area displaying daily activity guides corresponding to each brain health type and each mental health type. Here, the daily activity guides may be understood as behavioral guidelines for maintaining brain health and mental health, and the processor (340) may configure the service interface screen based on the type-specific daily activity guides pre-stored in the memory (320).

[0129] FIGS. 6 and 7 are exemplary diagrams of user interface screens showing the results of a user's brain and mind health information diagnosis provided through a user device according to one embodiment of the present invention.

[0130] In relation to this, referring to FIG. 6, the service interface screen may include a graphic object (13) that visually represents the user's brain health type, a graph that matches the ratio of the four brain health types of "foggy," "different," "gifted," and "tensed," and keywords related to the physical and emotional characteristics of each type. These data may be acquired using brain activity by frequency domain calculated by the processor (340).

[0131] In addition, the service interface screen may include graphic objects (14)(15) that explain a guide to daily activities that should be performed to maintain and improve brain health according to the user's brain health type.

[0132] In various embodiments, when a user selects an image or text from one of the graphic objects (14) or (15) through the service interface screen, additional content appropriate for the user's brain health type may be provided. For example, the processor (340) may provide a puzzle game or a chat window for consultation with an expert, depending on the user's brain health type.

[0133] Additionally, referring to FIG. 7, the service interface screen may include a graphic object (16) that visually represents the user's mental health type, a graph that matches the three mental health types of "depressed," "anxious," and "severe," and keywords related to physical and emotional characteristics of each type. These data may be acquired using the autonomic nervous system activity and autonomic nervous system balance calculated by the processor (340).

[0134] In addition, the service interface screen may include graphic objects (17)(18) that explain a guide to daily activities that should be performed to maintain and improve mental health according to the user's mental health type.

[0135] In various embodiments, when a user selects an image or text from one of the graphic objects (17) or (18) through the service interface screen, additional content appropriate for the user's mental health type may be provided. For example, the processor (340) may provide a meditation video or a chat window for consultation with an expert, depending on the user's mental health type.

[0136] So far, the brain and mind health information providing device (300) of the present invention and the brain and mind health information providing method performed by the processor (340) of the brain and mind health information providing device (300) of the present invention have been briefly described. According to the present invention, through intuitive classification of brain health types and mind health types, users can obtain health maintenance and improvement methods suitable for their type. In particular, by diagnosing brain and mind areas that are difficult for users to easily diagnose in a simple manner, users can recognize situations in which their brain and mind health are improving or deteriorating and take quick measures to protect their brain and mind health.

[0137] FIG. 8 and FIG. 9 are graphs for explaining evaluation results of a method for providing brain and mind health information according to one embodiment of the present invention.

[0138] Referring to Figures 8 and 9, it can be confirmed that the healthy control group and the patient comparison group have the following distribution of brain health types and mental health types. Here, the patient comparison group may include patients who are prescribed at least one psychiatric medication. In the case of the brain health types shown in Figure 8, it can be confirmed that the proportion of "tension type" in the patient comparison group is 33.7%, which is higher than the proportion of the healthy control group of 21%, and the proportion of "stable type" in the patient comparison group is 16.8%, which is lower than the proportion of the healthy control group of 30%. In addition, in the case of the mental health types shown in Figure 9, it can be confirmed that the proportion of "weak-anxious type" in the patient comparison group is 25.3%, which is higher than the proportion of the healthy control group of 10%, and the proportion of "stable type" in the patient comparison group is 35.4%, which is lower than the proportion of the healthy control group of 48%. In this way, the brain and mind health information providing method of the present invention can be shown to have excellent diagnostic capabilities in diagnosing the brain and mind health of a user, and the management and treatment guides provided therefor can be meaningfully applied to actual treatment.

[0139] Figures 10 and 11 are graphs for explaining the diagnosis results by brain health type and mind health type according to one embodiment of the present invention.

[0140] Referring to FIGS. 10 and 11, the scores for each brain health type and mental health type of (a) users who evaluated brain health, (b) users who performed all of the brain health, mental health, and self-evaluation items (psychological tests), (c) users who evaluated mental health, (d) users who performed a mental health screening for depressive disorders (MHS-D: Mental Health Screening for Depressive Disorders), (e) users who performed a mental health screening for anxiety disorders (MHS-A: Mental Health Screening for Anxiety Disorders), (f) users who evaluated cognitive stress response (CSRS: cognitive stress response scale), (g) users who performed a 12-item general health questionnaire (12-item General Health Questionnaire), (h) users who evaluated the Clinical Global Impression scale (CGI), and (i) users who evaluated cognitive ability (DSST: cognitive ability evaluation) can be measured as follows. Here, for the brain health types illustrated in Figure 10, it can be confirmed that (c) users and (i) users who evaluated cognitive ability differ by brain health type. Furthermore, for the mental health types illustrated in Figure 11, it can be confirmed that (b) users and (h) users who evaluated the overall clinical impression scale differ by brain health type.

[0141] Figures 12 and 13 are graphs showing the risk levels by brain health type and mind health type according to one embodiment of the present invention.

[0142] Referring to FIGS. 12 and 13, in the case of the brain health types illustrated in FIG. 12, it can be confirmed that some users in the "Foggy", "Tension", and "Foggy-Tension" categories belong to the "Risky" category, and in the case of the mental health types illustrated in FIG. 13, it can be confirmed that some users in all of the "Weak-Minded", "Weak-Depressed", "Weak-Anxious", "Anxious", "Depressed", and "Stable" categories belong to the "Risky" category, and in particular, it can be confirmed that more than 25% of users in the "Weak-Minded" category belong to the "Risky" category. That is, through the brain and mental health information providing method of the present invention, it is possible to make users who are unaware of the need for taking care of their brain and mental health aware of the need. In addition, by receiving appropriate management and treatment guides through the present invention, users can prevent the deterioration of their brain and mental health and treat it early.

[0143] Although the embodiments of the present invention have been described in more detail with reference to the attached drawings, the present invention is not necessarily limited to these embodiments, and various modifications may be implemented without departing from the technical spirit of the present invention. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain it, and the scope of the technical spirit of the present invention is not limited by these embodiments. Therefore, it should be understood that the embodiments described above are illustrative in all aspects and not restrictive. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within a scope equivalent thereto should be interpreted as being included in the scope of the rights of the present invention.

Claims

1. Step of acquiring the user's brain wave data and heart rate data; A step of calculating a brain health index indicating brain activity, brain flexibility, brain intelligence, and brain balance based on the brainwave data, and calculating a mind health index indicating autonomic nervous system activity and autonomic nervous system balance based on the heartbeat data; A step of determining the user's brain health type and mind health type, respectively, based on the calculated brain health index and mind health index; and A method for providing brain and mind health information, comprising: providing a service interface screen for providing a management and treatment guide for a user according to a determined brain health type and mind health type; 2. In paragraph 1, The above calculation steps are: This is a step of calculating brain activity for each of multiple frequency bands based on the above brainwave data. The above decision step is, A method for providing brain and mind health information, which is a step of determining the user's brain health type based on whether each of the brain activities for each of the above multiple frequency bands exceeds a preset range.

3. In paragraph 2, The above calculation steps are: Further comprising a step of distinguishing a frequency band corresponding to a brain activity exceeding a preset range when the brain activity in at least two frequency bands among the plurality of frequency bands exceeds a preset range, The above decision step is, A method for providing brain and mind health information, the method comprising: determining a user's brain health type based on at least one of the identified frequency bands.

4. In paragraph 3, The above distinguishing steps are: Further comprising a step of calculating the difference between the brain activity of at least two frequency bands and the upper limit value of a preset range, depending on the type of the frequency bands distinguished, The above decision step is, A method for providing brain and mind health information, further comprising a step of determining a user's brain health type based on a frequency band having the largest difference in calculated upper limit values.

5. In paragraph 2, The above decision step is, A method for providing brain and mind health information, further comprising a step of specifying the user's brain health type as one type when each of the brain activities for each of the above multiple frequency bands falls within a preset range.

6. In paragraph 1, The above calculation steps are: A step of extracting heart rate variability (HRV) data based on the above heart rate data, A step of calculating autonomic nerve activity for multiple frequency domains based on the extracted heart rate variability data, and A method for providing brain and mind health information, further comprising a step of calculating the autonomic nervous system balance for the sympathetic and parasympathetic nerves based on the calculated autonomic nervous system activity for each frequency domain.

7. In paragraph 6, The above decision step is, A method for providing brain and mind health information, which is a step for determining the user's mental health type based on whether the relative ratio between the sympathetic nerve and the parasympathetic nerve in the autonomic nervous system balance diagram exceeds a preset ratio.

8. In paragraph 6, The above decision step is, A method for providing brain and mind health information, which is a step of determining the user's mental health type based on whether the autonomic nervous system activity in at least two frequency domains among the above-mentioned multiple frequency domains is below a preset range.

9. In either of paragraphs 7 and 8, The above decision step is, If the autonomic nervous system activity in at least two frequency domains is below the preset range, A method for providing brain and mind health information, further comprising a step of determining which nerve is dominant among the sympathetic nerve and the parasympathetic nerve in the autonomic nervous system balance diagram.

10. In any one of paragraphs 7 and 8, The above decision step is, A method for providing brain and mind health information, further comprising a step of specifying the user's mental health type as one type when the autonomic nerve activity in at least three frequency domains among the autonomic nerve activity in each of the plurality of frequency domains exceeds a preset range and the relative ratio in the autonomic nerve balance is lower than a preset ratio.

11. In paragraph 1, The above service interface screen is, A method for providing brain and mind health information, comprising an area representing a daily activity guide corresponding to each of the above brain health type and the above mind health type.

12. Communication interface; memory; and a processor operably connected to the communication interface and the memory; The above processor, A brain and mind health information providing device configured to obtain brain wave data and heart rate data of a user, calculate a brain health index indicating brain activity, brain flexibility, brain intelligence, and brain balance based on the brain wave data, calculate a mind health index indicating autonomic nervous system activity, autonomic nervous system balance, stress index, and stress resistance based on the heart rate data, determine a brain health type and mind health type of the user based on the calculated brain health index and mind health index, respectively, and provide a service interface screen for providing a management and treatment guide for the user based on the determined brain health type and mind health type.

13. In paragraph 12, The above processor, Based on the above EEG data, brain activity for each of the multiple frequency bands is calculated, A brain and mind health information providing device configured to determine a user's brain health type based on whether each of the brain activities for each of the above multiple frequency bands exceeds a preset range.

14. In paragraph 13, The above processor, If the brain activity in at least two frequency bands among the above multiple frequency bands exceeds a preset range, the frequency band corresponding to the exceeding preset range is distinguished, A brain and mind health information providing device configured to determine a user's brain health type based on at least one of the identified frequency bands.

15. In paragraph 14, The above processor, Depending on the type of the separated frequency band, the difference between the brain activity of at least two separated frequency bands and the upper limit value of the preset range is calculated, A brain and mind health information providing device further configured to determine a user's brain health type based on the frequency band with the largest calculated upper limit difference.

16. In paragraph 13, The above processor, A brain and mind health information providing device further configured to specify the user's brain health type as one type when each of the brain activities for each of the above multiple frequency bands falls within a preset range.

17. In paragraph 12, The above processor, A brain and mind health information providing device further configured to extract heart rate variability (HRV) data based on the above heart rate data, calculate autonomic nerve activity for each of a plurality of frequency domains based on the extracted heart rate variability data, and calculate autonomic nerve balance for the sympathetic nerve and parasympathetic nerve based on the calculated autonomic nerve activity for each of a plurality of frequency domains.

18. In paragraph 17, The above processor, A brain and mind health information providing device configured to determine a user's mental health type based on whether the relative ratio between the sympathetic nerve and the parasympathetic nerve in the autonomic nervous system balance diagram exceeds a preset ratio.

19. In paragraph 17, The above processor, A brain and mind health information providing device configured to determine a user's mental health type based on whether the autonomic nervous system activity in at least two frequency domains among the above-described multiple frequency domains is below a preset range.

20. In any one of paragraphs 18 and 19, The above processor, If the autonomic nervous system activity in at least two frequency domains is below the preset range, A brain and mind health information providing device further configured to determine the dominant nerve among the sympathetic nerve and the parasympathetic nerve in the above autonomic nervous system balance diagram.

21. In any one of paragraphs 18 and 19, The above processor, A brain and mind health information providing device further configured to specify the user's mental health type as one type when the autonomic nerve activity in at least three frequency areas among the above-mentioned multiple frequency area autonomic nerve activity exceeds a preset range and the relative ratio in the autonomic nerve balance is lower than a preset ratio.

22. In paragraph 12, The above service interface screen is, A brain and mind health information providing device including an area indicating a daily activity guide corresponding to each of the above brain health types and the above mind health types.

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