Digital phenotype-based apparatus and method for managing mild cognitive impairment

Abstract

Provided are a digital phenotype-based apparatus and method for managing mild cognitive impairment. The apparatus comprises: a memory storing at least one process for managing mild cognitive impairment on the basis of a digital phenotype; and a processor for performing an operation according to the process, wherein the processor provides first training content to a user terminal on the basis of a cognitive function-related first evaluation result, and provides second training content to the user terminal on the basis of a dementia risk-related second evaluation result.

Description

Device and method for managing mild cognitive impairment based on digital phenotype

[0001] The present disclosure relates to a device and method for managing mild cognitive impairment based on digital phenotype.

[0002] Mild Cognitive Impairment (MCI) represents an intermediate stage between normal aging and dementia, and its progression to dementia can be delayed or prevented with appropriate management and intervention. Recent advances in digital technology have led to the use of various digital therapeutics (DTx) in the management of MCI. In particular, healthcare systems utilizing digital phenotype data are attracting attention, and various approaches for cognitive function assessment and training are being developed.

[0003] Existing mild cognitive impairment management systems primarily employ user-tailored content and data-driven training approaches. These systems provide customized training content based on user assessment results, aiming to prevent or treat the condition. Furthermore, various assessment and training methodologies have been developed for the management of specific conditions.

[0004] However, existing mild cognitive impairment management systems have the following major limitations. Most systems focus solely on either cognitive training or lifestyle management, making integrated management difficult. While health management systems utilizing digital data have been developed, it's difficult to find a system that adopts a dual-structure approach that clearly separates cognitive function assessment and dementia risk assessment, providing optimized training content for each.

[0005] Therefore, there is a need for a mild cognitive impairment management system that efficiently provides training content optimized for each by separating cognitive function assessment and dementia risk assessment and structuring it temporally.

[0006] The purpose of the embodiments disclosed in the present disclosure is to provide a device and method for managing mild cognitive impairment based on a digital phenotype.

[0007] The problems to be solved by the present disclosure are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

[0008] According to an aspect of the present disclosure for achieving the above-described technical task, a device for managing mild cognitive impairment based on a digital phenotype includes a memory storing at least one process for managing mild cognitive impairment based on a digital phenotype, and a processor performing an operation according to the process, wherein the processor provides first training content to a user terminal based on a first evaluation result related to cognitive function, and provides second training content to the user terminal based on a second evaluation result related to dementia risk, wherein the first training content is generated and provided as content for a next round or next cycle based on a first evaluation result of a previous round or previous cycle during a preset training period, and the second training content is generated and provided as content for a round corresponding to a middle part of the training period based on the second evaluation result.

[0009] In addition, the first training content may set a training concentration for each of the plurality of areas based on evaluation scores for the plurality of areas for evaluating the cognitive function, and the second training content may apply an age-based weighting factor of the user to evaluation scores for the plurality of factors for evaluating the dementia risk.

[0010] In addition, the plurality of areas may include attention, memory, language ability, spatiotemporal perception ability, and executive ability, and the first training content may be provided to improve or maintain the user's cognitive function.

[0011] In addition, the plurality of factors may include age, gender, years of education, hyperlipidemia, hypertension, diabetes, BMI, drinking, smoking, brain damage, depression, social relationships, physical activity, sleep, cognitive activity, memory decline, vision decline, hearing decline, and seafood intake, and the second training content may be provided to reduce the risk of dementia through lifestyle management of the user.

[0012] Additionally, the second training content provided in the first and second half of the training period may be provided equally to all users.

[0013] In addition, the processor provides the user terminal with a questionnaire for the second evaluation up to n times among the times corresponding to the early part of the training period (where n is a natural number greater than or equal to 1), and the questionnaire can be configured in an order and arrangement to minimize the possibility of mutual interference between items.

[0014] Additionally, the processor may provide a warm-up process to the user terminal before the training begins, wherein the warm-up process may include content for training the user's digital usage capabilities.

[0015] In addition, the processor can link the user's cognitive training and medication-taking behavior by providing a medication reminder to the user terminal during the training period if the user is taking medication.

[0016] In addition, a method for managing mild cognitive impairment based on a digital phenotype according to another aspect of the present disclosure for achieving the above-described technical task includes a step of providing first training content to a user terminal based on a first evaluation result related to cognitive function, and a step of providing second training content to the user terminal based on a second evaluation result related to dementia risk, wherein the first training content may be generated and provided as content for a next round or next cycle based on a first evaluation result of a previous round or previous cycle during a preset training period, and the second training content may be generated and provided as content based on the second evaluation result only for a round corresponding to a middle part of the training period.

[0017] In addition, a computer program stored in a computer-readable recording medium for executing a method for implementing the present disclosure may be further provided.

[0018] In addition, a computer-readable recording medium recording a computer program for executing a method for implementing the present disclosure may be further provided.

[0019] The aforementioned problem-solving method of this disclosure significantly maximizes the effectiveness of managing mild cognitive impairment and preventing dementia through a dual-structure approach that simultaneously manages cognitive function enhancement and lifestyle improvement. Specifically, by clearly distinguishing between cognitive function assessment (first assessment) and dementia risk assessment (second assessment) and providing optimized training content for each, the long-term incidence of dementia can be reduced.

[0020] Furthermore, by providing training sessions in a structured manner—early, mid, and late—system resource usage can be reduced compared to existing methods while increasing training participation. Specifically, the unique approach of tailoring the second training content (lifestyle management) only to the mid-term can achieve a synergistic effect of reducing server load while enhancing user lifestyle improvement compared to providing customized content at all points. This can increase the number of concurrent users supported per server, significantly improving economic efficiency, particularly in large-scale services targeting a large number of users, providing significant industrial value.

[0021] Additionally, digital skills training (warm-up) for older users unfamiliar with digital devices can help alleviate user anxiety and ensure equal skill levels for all users. This can ensure qualitative consistency in training, increase compliance, and foster motivation early in the training process.

[0022] Additionally, digital interventions that include medication management functions can support medication-taking behavior while maximizing synergy with cognitive training effects.

[0023] The effects of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

[0024] FIG. 1 is a conceptual diagram of a digital phenotype-based mild cognitive impairment management system according to one embodiment of the present disclosure.

[0025] FIG. 2 is a block diagram of a mild cognitive impairment management device according to one embodiment of the present disclosure.

[0026] FIG. 3 is a flowchart of a method for managing mild cognitive impairment according to one embodiment of the present disclosure.

[0027] FIG. 4 is a diagram illustrating a warm-up period and a training period according to one embodiment of the present disclosure.

[0028] FIGS. 5 to 8 are diagrams illustrating questions of a questionnaire provided for evaluating lifestyle habits according to one embodiment of the present disclosure.

[0029] FIGS. 9 and 10 are exemplary diagrams of a UI (User Interface) designed to be provided for each round during a training period according to one embodiment of the present disclosure.

[0030] FIG. 11 is an example diagram of a UI designed to start an evaluation (lifestyle evaluation) for the second training according to one embodiment of the present disclosure.

[0031] FIG. 12 and FIG. 13 are exemplary diagrams of a UI for medication management according to one embodiment of the present disclosure.

[0032] Throughout this disclosure, the same reference numerals denote the same components. This disclosure does not describe all elements of the embodiments, and any content that is common in the technical field to which this disclosure belongs or that overlaps between embodiments is omitted. The terms "part, module, element, block" used in the specification may be implemented in software or hardware, and depending on the embodiment, multiple "parts, modules, elements, blocks" may be implemented as a single component, or a single "part, module, element, block" may include multiple components. Throughout the specification, when a part is said to be "connected" to another part, this includes not only cases where it is directly connected, but also cases where it is indirectly connected, and an indirect connection includes a connection via a wireless communication network.

[0033] Additionally, when a part is said to "include" a component, this does not mean that it excludes other components, but rather that it may include other components, unless otherwise specifically stated.

[0034] Throughout the specification, when we say that an element is "on" another element, this includes not only cases where the element is in contact with the other element, but also cases where another element exists between the two elements.

[0035] The terms first, second, etc. are used to distinguish one component from another, and the components are not limited by the aforementioned terms.

[0036] Singular expressions include plural expressions unless the context clearly indicates otherwise.

[0037] The identification codes for each step are used for convenience of explanation and do not describe the order of each step. Each step may be performed in a different order than specified unless the context clearly indicates a specific order.

[0038] The operating principle and embodiments of the present disclosure are described below with reference to the attached drawings.

[0039] Before proceeding, the meanings of terms used in this specification will be briefly explained. However, it should be noted that the explanation of terms is intended to aid understanding of this specification, and therefore, unless explicitly stated to limit the disclosure, they are not intended to limit the technical concepts of this disclosure.

[0040] In this specification, the term "device" encompasses a variety of devices capable of performing computational processing and providing results to a user. For example, a device may include a computer, a server, or a portable terminal, or may be any one of these.

[0041] Here, the computer may include, for example, a notebook, desktop, laptop, tablet PC, slate PC, etc. equipped with a web browser.

[0042] The above server device is a server that processes information by communicating with an external device, and may include an application server, a computing server, a database server, a file server, a game server, a mail server, a proxy server, and a web server.

[0043] The above portable terminal may include, for example, a wireless communication device that ensures portability and mobility, and may include all kinds of handheld-based wireless communication devices such as a PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), WiBro (Wireless Broadband Internet) terminal, a smart phone, and a wearable device such as a watch, a ring, a bracelet, an anklet, a necklace, glasses, contact lenses, or a head-mounted device (HMD).

[0044] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the attached drawings.

[0045] FIG. 1 is a conceptual diagram of a digital phenotype-based mild cognitive impairment management system according to one embodiment of the present disclosure.

[0046] Referring to FIG. 1, the mild cognitive impairment management system may include a mild cognitive impairment management device (100) and a user terminal (200). However, in some embodiments, the mild cognitive impairment management system may include fewer or more components than the components illustrated in FIG. 1.

[0047] The mild cognitive impairment management device (100) can be implemented as a cloud server or an on-premise server and is connected to a user terminal (200) via a wired or wireless network.

[0048] The mild cognitive impairment management device (100) provides an app / web-based service, and users can use this service through a user terminal (200). The mild cognitive impairment management device (100) provides training content for each set period (session), and users can perform cognitive training and lifestyle management through this training content.

[0049] The user terminal (200) may be a variety of digital devices such as a smartphone, tablet, or PC, and may access an app / web service provided by the mild cognitive impairment management device (100), perform training content through a user interface, and transmit the results to the mild cognitive impairment management device (100).

[0050] Specifically, the user terminal (200) may be a computing device of various types, such as a desktop computer, a laptop computer, a tablet, or a smartphone, and must have at least 8 GB of RAM, a quad-core CPU, and a graphics card that supports OpenGL 4.0 or higher to enable a smooth user interface experience.

[0051] FIG. 2 is a block diagram of a mild cognitive impairment management device according to one embodiment of the present disclosure.

[0052] Referring to FIG. 2, the mild cognitive impairment management device (100) may include a communication unit (110), a memory (120), and a processor (130). The processor (130) may include a warm-up management module (131), a first training management module (132), a second training management module (133), and a medication management module (134). However, in some embodiments, the mild cognitive impairment management device (100) and the processor (130) may include fewer or more components than the components illustrated in FIG. 3.

[0053] The communication unit (110) may include one or more modules that enable wireless or wired communication between the mild cognitive impairment management device (100) and the user terminal (200), and between the mild cognitive impairment management device (100) and a communication network. For example, it may include at least one of a wired communication module, a wireless communication module, a short-range communication module, and a location information module.

[0054] The communication network can use various types of communication networks, for example, wireless communication methods such as WLAN (Wireless LAN), Wi-Fi, Wibro, WiMAX, and HSDPA (High Speed ​​Downlink Packet Access), or wired communication methods such as Ethernet, xDSL (ADSL, VDSL), HFC (Hybrid Fiber Coax), FTTC (Fiber to The Curb), and FTTH (Fiber to The Home) can be used.

[0055] Meanwhile, the communication network is not limited to the communication methods presented above, and may include all other widely known or future-developed communication methods in addition to the above-described communication methods.

[0056] The wired communication module may include various wired communication modules such as a Local Area Network (LAN) module, a Wide Area Network (WAN) module, or a Value Added Network (VAN) module, as well as various cable communication modules such as a Universal Serial Bus (USB), a High Definition Multimedia Interface (HDMI), a Digital Visual Interface (DVI), RS-232 (recommended standard 232), power line communication, or plain old telephone service (POTS).

[0057] The wireless communication module may include a wireless communication module that supports various wireless communication methods such as GSM (global System for Mobile Communication), CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), UMTS (universal mobile telecommunications system), TDMA (Time Division Multiple Access), LTE (Long Term Evolution), 4G, 5G, and 6G, in addition to a WiFi module and a Wireless Broadband module.

[0058] The short-range communication module is for short-range communication, and can support short-range communication using at least one of Bluetooth™, RFID (Radio Frequency Identification), Infrared Data Association (IrDA), UWB (Ultra Wideband), ZigBee, NFC (Near Field Communication), Wi-Fi (Wireless-Fidelity), Wi-Fi Direct, and Wireless USB (Wireless Universal Serial Bus) technologies.

[0059] The memory (120) may store at least one process for managing mild cognitive impairment based on a digital phenotype.

[0060] The memory (120) can store data supporting various functions of the present mild cognitive impairment management device (100), a program for the operation of the processor (130), can store input / output data (e.g., music files, still images, videos, etc.), and can store a plurality of application programs (or applications) run in the present mild cognitive impairment management device (100), data for the operation of the present mild cognitive impairment management device (100), and commands. At least some of these application programs can be downloaded from an external server via wireless communication.

[0061] The memory (120) may include at least one type of storage medium among a flash memory type, a hard disk type, an SSD (Solid State Disk type), an SDD (Silicon Disk Drive type), a multimedia card micro type, a card type memory (e.g., SD or XD memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and an optical disk. In addition, the memory (120) is separate from the mild cognitive impairment management device (100), but may be a database connected by wire or wirelessly.

[0062] The processor (130) may perform the aforementioned operations using a memory that stores data regarding an algorithm for controlling the operation of components within the present cognitive impairment management device (100) or a program that reproduces the algorithm, and the data stored in the memory. In this case, the memory (120) and the processor (130) may each be implemented as separate chips. Alternatively, the memory (120) and the processor (130) may be implemented as a single chip.

[0063] The warm-up management module (131) of the processor (130) can provide content to train the user's digital usage skills before the start of full-scale cognitive training. This serves as a preparatory (educational) step to familiarize users with training sequences, methods, app operations, etc., and improves accessibility for elderly users unfamiliar with using digital devices.

[0064] According to an embodiment, the warm-up management module (131) can classify the user's digital capabilities into five levels (beginner, basic, intermediate, advanced, expert) and provide customized warm-up content for each level.

[0065] The first training management module (132) of the processor (130) can perform a process for cognitive training during a preset training period. The first training management module (132) provides first training content for cognitive training for each session, and can analyze the performance results of the previous first training content to create the next first training content in a user-customized manner.

[0066] According to an embodiment, the first training management module (132) manages a training content library of multiple levels (e.g., beginner, intermediate, advanced) for each of five cognitive domains (attention, memory, language ability, visuospatial perception ability, and executive ability).

[0067] The second training management module (133) of the processor (130) can perform a process for managing lifestyle habits during a preset training period. The second training management module (133) provides second training content for managing lifestyle habits. In the early and late stages of the training, the second training content with the same configuration / content is provided to all users, and only in the middle stages, the second training content with customized configuration / content is provided based on the user's second evaluation results.

[0068] According to an embodiment, the second training management module (133) can generate customized content based on evaluation results for 19 factors (age, gender, years of education, hyperlipidemia, hypertension, diabetes, BMI, drinking, smoking, brain damage, depression, social relationships, physical activity, sleep, cognitive activity, memory decline, vision decline, hearing decline, and seafood consumption). However, the factors are not limited to this, and all items for evaluating lifestyle habits can be utilized as factors.

[0069] The medication management module (134) of the processor (130) can support medication management for medications being taken by the user. The medication management module (134) provides medication notifications to the user terminal (200) to assist medication management, and can maximize therapeutic effects by linking cognitive training with medication administration.

[0070] According to an embodiment, the medication management module (134) can manage a medication schedule of up to 5 times a day for up to 10 types of drugs, and can include a drug interaction test function.

[0071] In addition, the processor (130) can control one or a combination of the components discussed above in order to implement various embodiments according to the present disclosure described in FIGS. 3 to 13 below on the cognitive impairment management device (100).

[0072] Hereinafter, with reference to FIGS. 3 to 13, a method for managing mild cognitive impairment based on digital phenotype will be specifically described.

[0073] FIG. 3 is a flowchart of a method for managing mild cognitive impairment according to one embodiment of the present disclosure.

[0074] FIG. 4 is a diagram illustrating a warm-up period and a training period according to one embodiment of the present disclosure.

[0075] FIGS. 5 to 8 are diagrams illustrating questions of a questionnaire provided for evaluating lifestyle habits according to one embodiment of the present disclosure.

[0076] FIGS. 9 and 10 are exemplary diagrams of a UI (User Interface) designed to be provided for each round during a training period according to one embodiment of the present disclosure.

[0077] FIG. 11 is an example diagram of a UI designed to start an evaluation (lifestyle evaluation) for the second training according to one embodiment of the present disclosure.

[0078] FIG. 12 and FIG. 13 are exemplary diagrams of a UI for medication management according to one embodiment of the present disclosure.

[0079] For convenience of explanation, the following description describes each step as being performed by the processor (130), but it may be understood that each step is performed by any one of the warm-up management module (131), the first training management module (132), the second training management module (133), the medication management module (134), and modules not shown in FIG. 2 included in the processor (130).

[0080] Referring to FIG. 3, the processor (130) of the mild cognitive impairment management device (100) can provide first training content to the user terminal (200) based on the first evaluation result related to cognitive function (S310).

[0081] Here, the first assessment may be a cognitive test to assess the user's cognitive function. The processor (130) may generate and provide first training content tailored to the user's condition based on the results of the first assessment.

[0082] Specifically, the first training content may be generated and provided for the next session (first session) or cycle based on the first assessment results of the previous session or cycle during a preset training period. In this way, the first training content may be generated and provided for each session or cycle during the training period to improve or maintain the user's cognitive function.

[0083] For example, training may be conducted over 60 days, or more specifically, the 60 days may be divided into 5-day sessions per week for 12 weeks.

[0084] In some embodiments, if the first training content is provided based on the evaluation results of the previous session, the first training content for Day 2 may be generated based on the performance results (evaluation results) of the first training content provided on Day 1. In this case, the first training content for Day 1 may be provided equally to all users, or may be generated based on the performance results of practice activities performed during the warm-up process.

[0085] In some embodiments, if the first training content is provided based on the evaluation results of the previous cycle, the first training content for Week 2 may be generated based on the performance results (evaluation results) of the first training content provided in Week 1. In this case, the first training content for Week 1 may be provided equally to all users, or may be generated based on the performance results of practice activities performed during the warm-up process.

[0086] Additionally, the first training content may set training concentrations for each of multiple domains based on assessment scores for multiple domains to assess the user's cognitive functions. The multiple domains may include attention, memory, language ability, visuospatial perception, and executive function.

[0087] According to an embodiment, the processor (130) may extract the area with the lowest score based on the scores of attention, memory, language ability, visuospatial perception ability, and executive ability each calculated through the first evaluation of the previous round or cycle, and generate the first training content of the next round or cycle by focusing on the extracted area.

[0088] According to an embodiment, the processor (130) may generate the first training content of the previous round or cycle by listing the scores of attention, memory, language ability, visuospatial perception ability, and executive ability respectively, calculated through the first evaluation of the previous round or cycle in descending order of scores, and setting different training intensities for each of the multiple areas according to the listed order. In this case, the training intensities may be set to be higher in descending order of scores.

[0089] The processor (130) of the mild cognitive impairment management device (100) can provide second training content to the user terminal based on the second assessment result related to the risk of dementia (S320).

[0090] Here, the second assessment may be a test to assess the user's lifestyle habits related to dementia risk. The processor (130) may generate and provide second training content tailored to the user's condition based on the results of the second assessment for only a portion of the training period.

[0091] Specifically, the second training content may be generated and provided based on the second assessment results only for sessions corresponding to the middle of the training period. Furthermore, the second training content provided in sessions corresponding to the early and late parts of the training period may be equally available to all users. Thus, the second training content may be generated and provided only for a portion of the training period to reduce the risk of dementia through lifestyle management.

[0092] For example, training may be conducted over 60 days, or more specifically, the 60 days may be divided into 5-day sessions per week for 12 weeks.

[0093] Depending on the embodiment, the second training content may be provided to all users without customization during the first four weeks and the last week. The second training content provided during the first four weeks may include an introduction to the training program, education related to mild cognitive impairment / dementia, and activities for improving lifestyle habits (physical exercise, meditation, etc.). The second training content provided during the second week, from the fifth to the eleventh week, may be personalized for each user. The second training content provided during the last week may include guidance on how to maintain habits and activities for maintaining lifestyle habits (physical exercise, meditation, etc.).

[0094] Additionally, the second training content provided in the middle round may be based on the user's evaluation scores for multiple factors for assessing the user's lifestyle habits, and each of the multiple factors may be weighted based on the user's age. More specifically, the second training content may be provided in the middle round with weights reflecting the user's risk based on large-scale epidemiological evidence supporting the association between the user's age and the onset of dementia. Here, the multiple factors may include age, gender, years of education, hyperlipidemia, hypertension, diabetes, BMI, drinking, smoking, brain damage, depression, social relationships, physical activity, sleep, cognitive activity, memory decline, vision decline, hearing decline, and seafood intake. However, the factors are not limited to this, and any item for assessing lifestyle habits may be utilized as a factor.

[0095] According to an embodiment, the processor (130) extracts factors with a high risk of dementia (factors with scores smaller or larger than a preset value) based on the evaluation scores of age, gender, years of education, hyperlipidemia, hypertension, diabetes, BMI, drinking, smoking, brain damage, depression, social relationships, physical activity, sleep, cognitive activity, memory decline, vision decline, hearing decline, and seafood intake calculated through the second evaluation (lifestyle habit evaluation), and applies a weight set based on the correlation between the extracted factors and the user's age to the scores of each extracted factor to generate second training content provided in the middle round. That is, since factors with a high correlation (risk) with dementia are ranked in order of scores with the weighted scores applied, the second training content provided in the middle round can be generated with a focus on improving lifestyle habits for the corresponding factors.

[0096] Figure 4 illustrates the warm-up period (Day 0) and training period (Day 1 to Day 60) when the training period is set to 60 days. The warm-up period can be set to 1 day (Day 0) before the start of training, and the training period can be set to a total of 60 days (Day 1 to Day 60), but the warm-up period and training period are not limited to this. The training period can be structured as 12 weeks of 5 days each, centered around weekday activities.

[0097] The warm-up session (Day 0) is provided before the training begins and may include content designed to train the user's digital skills. Depending on the embodiment, the warm-up session may provide content similar to the first and second training content provided during the main training session. These practice activities allow the user to familiarize themselves with the main training session in advance.

[0098] The warm-up phase (Day 0) assesses users' digital capabilities before training begins and provides personalized guidance to ensure all users can use the service independently at home. This helps alleviate users' anxiety about using the device and ensures that all users have equal access to it.

[0099] Depending on the embodiment, the warm-up process may consist of a total of 120 minutes (±15 minutes), and may be conducted as basic operation instruction (30 minutes), explanation of app functions (30 minutes), practice (45 minutes), and Q&A (15 minutes).

[0100] Once the warm-up process is completed, users can independently perform the training content provided through the app / web on a daily basis during the training period (Day 1 to Day 60).

[0101] The processor (130) can provide the questionnaire for the second evaluation to the user terminal (200) up to the nth time among the times corresponding to the early part of the training period. Here, n is a natural number greater than or equal to 1.

[0102] For example, if n is 4, a questionnaire for assessing lifestyle habits for the second training session (Day 1 to Day 4) can be administered during the training period (Day 1 to Day 60). Based on the results of this questionnaire, the second training content, to be provided from Day 21 to Day 56, can be customized and created.

[0103] Additionally, the survey can be structured and arranged to minimize the possibility of interference between questions. Specifically, the survey can be distributed over four days, with questions on three to five factors per day.

[0104] That is, because the order or arrangement of survey questions can induce contextual effects in respondents, influencing their responses to subsequent questions, questions reflecting emotional and social states (e.g., depression, trauma, social relationships), lifestyle habits (e.g., cognitive activity, exercise, drinking / smoking), and subjective assessments of cognitive function (e.g., memory-related questions) can be distributed across different dates. This minimizes the potential for interference between questions.

[0105] Referring to Figure 5, Day 1 may be primarily comprised of short-answer yes / no questions that require minimal cognitive thinking and induce minimal respondent fatigue, as well as questions focused on emotional / social factors (e.g., depression, trauma, social isolation). Specifically, Day 1 may include questions about gender, age, years of education, diabetes, traumatic brain injury, depression, and social relationships among the multiple factors described above, but is not limited thereto and may also include questions about other factors.

[0106] Referring to Figure 6, Day 2 may be centered around questions that require relatively high recall on the topic of cognitive activity. Specifically, Day 2 may include questions about cognitive activity among the multiple factors described above, but is not limited thereto and may also include questions about other factors.

[0107] Referring to Figure 7, Day 3 may be primarily comprised of fact-based, recall-based lifestyle habit questions, such as those regarding physical activity. Specifically, Day 3 may include questions about physical exercise, drinking, smoking, and fish consumption (seafood consumption), among other factors, but is not limited thereto and may also include questions about other factors.

[0108] Referring to Figure 8, Day 4 can be divided into self-assessment questions requiring cognitive judgment, separated from questions that may have an emotional impact. Specifically, Day 4 can include a questionnaire asking about family history, hypertension, and subjective memory decline among multiple factors, but is not limited to these. Questions about other factors can also be included.

[0109] Hereinafter, the UI (User Interface) for Day 1 training will be described with reference to FIGS. 9 through 13. While the UI for Day 1 will be described with reference to FIGS. 9 through 13, the UIs provided for the remaining days are also designed with the same configuration, allowing users to conduct training on a day-by-day basis.

[0110] Figure 9 shows the basic screen for the first day's activity (training).

[0111] By selecting the first area (91) of the home screen, a preparatory activity to wake up the brain before the daily core activity (first training) can begin.

[0112] The second area (92) of the main screen may provide a brief description of the core activities to be performed. Specifically, the core activities to be performed daily by the user may include a daily log and a first training session (multiple cognitive training sessions, one or more episodic memory training sessions). As described above, the first training session may provide training content for the next day (session) or cycle based on the training performance results of the previous day (session) or cycle. Additionally, the daily log may include questions to record the user's state / mood at the start of the current day.

[0113] When you select the Start Activity button in the third area (93) of the main screen, the core activities that must be performed on a daily basis will be performed sequentially.

[0114] According to an embodiment, a screen for conducting cognitive training during the first training may include a pause button, a training time check button, a help button, a cognitive training result display area, a retry button, and an exit button.

[0115] In some embodiments, the screen for conducting episodic memory training during the first training session may include an activity description button, an audio player, and a question and answer pop-up.

[0116] The fourth area (94) of the main screen can show the number of completed core activities and the number of remaining core activities for the corresponding day.

[0117] Figure 10 illustrates a secondary screen that appears when a user has completed all core activities, including the first training.

[0118] Selecting the first area (101) of the auxiliary screen can switch to a screen for writing a daily log for the day. The daily log may include questions for recording the user's meal history, exercise history, etc. at the end of the day.

[0119] The second area (102) of the auxiliary screen displays a list of activities for the second training (training for lifestyle management). That is, the second training for lifestyle management can be conducted after the first training for maintaining and improving cognitive function has been completed. The second training can include various activities, such as mindfulness, health classes, and physical exercise. When a user selects a specific second training from the list, the screen for starting the selected second training can be switched. At this time, the second training provides the same training content to all users in the first and second days as described above, and in the middle days, customized content can be provided based on the second evaluation results (survey results) of each user.

[0120] Additionally, as described above, a questionnaire for the second evaluation may be provided up to the nth session, which corresponds to the early part of the training period. In this case, the questionnaire may be included in the core activities of each session within the nth session.

[0121] The second area (103) of the auxiliary screen may display the time remaining until the start of the next primary activity.

[0122] Figure 11 shows the screen for starting the evaluation (lifestyle evaluation) for the second training.

[0123] When the start button (111) shown in Fig. 11 is selected, the screen for starting the first round (Day 1) of the survey can be switched to the screen shown in Fig. 5.

[0124] According to an embodiment, the processor (130) may provide a training incomplete notification to the user terminal (200) if the user fails to complete a specific training session. Specifically, the processor (130) may provide a notification to the user terminal (200) so that the user can perform the training session on a weekend or weekday of the week that includes the failed training session.

[0125] Meanwhile, if the user is taking medication, the processor (130) can provide a medication reminder to the user terminal (200) during the training period. This allows for linking the user's cognitive training with medication-taking behavior.

[0126] Specifically, the processor (130) can ensure that the user continuously takes the cognitive function maintenance drug without fail through a medication reminder, thereby ensuring that the drug effect is sustained.

[0127] In addition, the processor (130) can prevent cognitive decline by lowering the user's risk of dementia through medication for hypertension, diabetes, hyperlipidemia, etc., which affect dementia risk factors.

[0128] Furthermore, medication reminders serve as a form of prospective memory training within daily life. The reminder function allows users to repeat the behavioral routine of recognizing and taking medication at the same time. This can help automate prospective memory activities by providing cognitive cues and repeating behavioral changes.

[0129] Figure 12 is a screen displayed when a user has no registered medication. The user can select the Register Medication Reminder button (121) to register the medications he or she is taking and the time of taking them.

[0130] Figure 13 illustrates the screen displayed when a user has registered one or more medications. The first area (131) of the screen illustrated in Figure 13 displays a list of medications registered (or currently being taken) by the user. If the user has completed taking a medication included in the list at the registered time, the user can manage whether or not he or she has taken the medication by selecting the "Complete Medication" button (132). Furthermore, when a medication is added, the user can add a new notification by selecting the "Add Notification" button (133).

[0131] According to an embodiment, if there is a drug (e.g., an anticholinergic) that increases the risk of dementia among the medications registered by the user, the processor (130) may provide a medication reminder by adjusting the cycle / number of doses of the drug.

[0132] Although FIG. 3 describes the steps as being executed sequentially, this is merely an example of the technical idea of ​​the present embodiment, and a person having ordinary skill in the technical field to which the present embodiment belongs can modify and apply various modifications and variations by changing the order described in FIG. 3 or executing them in parallel without departing from the essential characteristics of the present embodiment, and therefore FIG. 3 is not limited to a chronological order.

[0133] Meanwhile, in the above description, the steps described in FIG. 3 may be further divided into additional steps or combined into fewer steps, depending on the implementation example of the present disclosure. Furthermore, some steps may be omitted as needed, and the order of the steps may be changed.

[0134] Meanwhile, the disclosed embodiments may be implemented in the form of a recording medium storing computer-executable instructions. The instructions may be stored in the form of program code, and when executed by a processor, may generate program modules to perform the operations of the disclosed embodiments. The recording medium may be implemented as a computer-readable recording medium.

[0135] Computer-readable storage media include all types of storage media that store instructions that can be deciphered by a computer. Examples include read-only memory (ROM), random access memory (RAM), magnetic tape, magnetic disks, flash memory, and optical data storage devices.

[0136] The disclosed embodiments have been described with reference to the attached drawings as described above. Those skilled in the art will understand that the present disclosure can be implemented in forms other than the disclosed embodiments without altering the technical spirit or essential features of the present disclosure. The disclosed embodiments are illustrative and should not be construed as limiting.

Claims

1. A memory storing at least one process for managing mild cognitive impairment based on a digital phenotype; and Includes a processor that performs operations according to the above process, The above processor, Provide first training content to the user terminal based on the first evaluation result related to cognitive function, and provide second training content to the user terminal based on the second evaluation result related to dementia risk. The above first training content is provided by generating the content of the next round or next cycle based on the first evaluation results of the previous round or previous cycle during the preset training period. The above second training content is provided based on the second evaluation results only for the sessions corresponding to the middle of the training period. A digital phenotype-based mild cognitive impairment management device.

2. In paragraph 1, The first training content above sets the training concentration for each of the plurality of areas based on the evaluation scores for the plurality of areas for evaluating the cognitive function, The second training content is a method in which the user's age-based weight is applied to the evaluation score for multiple factors for assessing the dementia risk. A digital phenotype-based mild cognitive impairment management device.

3. In paragraph 2, The above multiple domains include attention, memory, language ability, visuospatial perception ability, and executive ability. The above first training content is provided to improve or maintain the user's cognitive function. A digital phenotype-based mild cognitive impairment management device.

4. In paragraph 2, The above multiple factors include age, gender, years of education, hyperlipidemia, hypertension, diabetes, BMI, drinking, smoking, brain damage, depression, social relationships, physical activity, sleep, cognitive activity, memory decline, vision decline, hearing decline, and seafood consumption. The above second training content is provided to reduce the risk of dementia through management of the user's lifestyle habits. A digital phenotype-based mild cognitive impairment management device.

5. In paragraph 1, The second training content provided in the first and second half of the above training period is provided equally to all users. A digital phenotype-based mild cognitive impairment management device.

6. In paragraph 1, The above processor, During the training period, up to the nth time among the rounds corresponding to the first half, the questionnaire for the second evaluation is provided to the user terminal (where n is a natural number greater than or equal to 1). The above questionnaire is structured in a sequence and arrangement to minimize the possibility of interference between questions. A digital phenotype-based mild cognitive impairment management device.

7. In paragraph 1, The above processor, Before the above training begins, a warm-up process is provided to the user terminal. The above warm-up process includes content to train the user's digital usage capabilities. A digital phenotype-based mild cognitive impairment management device.

8. In paragraph 1, The above processor, If the user is taking medication, the user's cognitive training and medication-taking behavior are linked by providing a medication reminder to the user's terminal during the training period. A digital phenotype-based mild cognitive impairment management device.

9. In a method performed by a device, A step of providing first training content to a user terminal based on the first evaluation result related to cognitive function; and Including a step of providing second training content to the user terminal based on the second assessment result related to dementia risk, The above first training content is provided by generating the content of the next round or next cycle based on the first evaluation results of the previous round or previous cycle during the preset training period. The above second training content is provided based on the second evaluation results only for the sessions corresponding to the middle of the training period. A digital phenotype-based management method for mild cognitive impairment.

10. A computer-readable recording medium that is combined with a computer as hardware and stores a computer program that executes the method of claim 9.

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