KR102441774B1 - Method, apparatus and computer-readable medium of managing life style to improve cognitive function based artificial intelligence - Google Patents

Abstract

The present invention relates to a lifestyle artificial intelligence management method for cognitive function improvement which comprises: a measurement step of measuring the trainee's cognitive function state and external factors; a trigger condition setting step of setting a trigger condition according to the measured cognitive function state and external factors; a solution providing step of deriving an improved solution for the external factors to be controlled by analyzing the correlation between the trainee's cognitive function state and the external factors and providing the derived solution to a trainee terminal; a monitoring step of monitoring whether the trainee is implementing the solution by collecting the external factors in the environment to which the trainee is exposed from the trainee terminal and one or more measurement devices interlocked with the trainee terminal and determining whether or not the collected external factors satisfy a preset trigger condition. In the present invention, a customized solution is provided for each trainee to improve the individual's cognitive function state and external factors closely related to the described cognitive function state such that systematic management can be achieved.

Description

METHOD, APPARATUS AND COMPUTER-READABLE MEDIUM OF MANAGING LIFE STYLE TO IMPROVE COGNITIVE FUNCTION BASED ARTIFICIAL INTELLIGENCE

The present invention relates to a lifestyle artificial intelligence management method for improving cognitive function. Specifically, the cognitive function improvement difficulty for each trainee is configured based on the trainee's cognitive level and factors related to the controllable external environment, and the lifestyle is improved It is related to the technology of establishing a solution and managing trainees more systematically.

In 2015, the World Health Organization (WHO) held the Global Action Against Dementia conference to discuss ways to reduce the incidence of dementia in order to reduce the social and economic cost burden of dementia patients. ), the need to reduce the risk of dementia through evidence-based dementia prevention was raised.

In addition, the need for public health promotion of healthy lifestyles and efforts to reduce non-communicable diseases (NCDs) such as hyperlipidemia, hypertension, and diabetes that cause dementia have been raised. It was also announced that there is a close relationship with the lifestyle in life.

However, in the prior art disclosed to improve and prevent the symptoms of dementia, it is possible to enhance the cognitive function of the trainee by receiving information including the subject's personal information, such as the dementia prevention cognitive training system disclosed in Korean Patent No. 10-1487727. Most of the training contents were provided for the purpose.

In other words, in the past, control of external environmental factors closely related to dementia prevention and cognitive function decline was not performed. An integrated solution to prevent this needs to be developed.

Therefore, the first purpose is to configure the difficulty of improving cognitive function for each trainee based on the trainee's cognitive level and factors related to the controllable external environment, and to provide an improvement solution for external factors closely related to the trainee's cognitive function. There is this.

A second object of the present invention is to provide a technology for providing and monitoring a personal solution established to improve a trainee's controllable risk factors by measuring the trainee's actual cognitive functioning state and external factors to evaluate the cognitive functioning state There is this.

A lifestyle artificial intelligence management method for improving cognitive function implemented in a computing device including one or more processors for achieving the above object and one or more memories for storing instructions executable by the processor, the cognitive function state of a trainee and measuring step of measuring external factors; a trigger condition setting step of setting a trigger condition according to the measured cognitive function state and external factors; A solution providing step of deriving an improvement solution for an external factor to be controlled by analyzing the relationship between the trainee's cognitive function state and external factors, and providing the derived solution to the trainer's terminal; And, whether the trainee's solution is implemented by collecting external factors in the environment to which the trainee is exposed from the trainer terminal and one or more measurement devices interlocked with the trainee terminal, and determining whether the collected external factors satisfy a preset trigger condition It is characterized in that it comprises; a monitoring step of monitoring the.

In the above-described measurement step, in order to measure the cognitive function state of the trainee, by providing an evaluation item based on a Mini Mental State Examination (MMSE) to the trainee terminal, and collecting the trainee's responses to the evaluation item, It is desirable to derive a measure of the cognitive functioning state of the trainee.

In addition, in the above-described measurement step, in order to measure the external factors of the trainee, a questionnaire question for grasping the life style of the trainee is provided to the trainee terminal, and the trainee's responses to the questionnaire are collected, but the questionnaire question is, drinking, It is preferable that the questionnaire consists of questions about external factors including at least one of smoking, diet, sleep, physical activity, and social activity.

In addition, the above-described trigger condition setting step selects, from the measurement result of the trainee's cognitive function state, a cognitive region that does not meet a preset threshold reference value, defines it as a cognitive region that needs improvement, and has an external product that is related to the cognitive region that needs improvement. It is desirable to have a trigger condition set for the factor.

In addition, the above-described monitoring step calculates the solution implementation rate of the trainee from the monitoring result of whether the trainee implements the solution for each preset unit cycle, and transmits the calculated solution implementation rate to the trainee management server, so that the trainee and the cognitive function state and at least one other trainee whose extrinsic factor measurement value is similar to or greater than a threshold value to be managed as a training mate group.

In addition, in the above-described training mate group, the superior trainee whose calculated solution adherence rate satisfies the preset threshold adherence rate and the inferior trainee whose calculated solution adherence rate does not meet the preset threshold adherence rate are matched, and the same training mate It is desirable that a plurality of trainees belonging to the group be able to mutually share the collected values of external factors in the environment to which the trainees are exposed.

In addition, in the above-described solution providing step, it is preferable that a cognitive rehabilitation training program in which a training difficulty corresponding to the cognitive function state of the trainee is set may be included as a solution provided to the trainee's terminal and provided.

In addition, in the above-described monitoring step, when the collected external factors do not satisfy a preset trigger condition, an alert notification according to solution failure is provided to the trainer terminal, and after the alert alert is provided, the solution is normally implemented during a preset intensive monitoring period When this is not detected, it is preferable to provide an enlarged alert notification to the trainer's guardian terminal.

On the other hand, a lifestyle artificial intelligence management device for improving cognitive function implemented in a computing device including one or more processors and one or more memories for storing instructions executable by the processor is a measurement for measuring the cognitive function state and external factors of a trainee wealth; a trigger condition setting unit for setting a trigger condition according to the measured cognitive function state and external factors; a solution providing unit for deriving an improvement solution for an external factor to be controlled by analyzing the cognitive function state of the trainee and the correlation of the external factor, and providing the derived solution to the trainee's terminal; And, whether the trainee's solution is implemented by collecting external factors in the environment to which the trainee is exposed from the trainer terminal and one or more measurement devices interlocked with the trainee terminal, and determining whether the collected external factors satisfy a preset trigger condition It characterized in that it includes; a monitoring unit for monitoring the.

On the other hand, a computer-readable recording medium, wherein the computer-readable recording medium stores instructions for causing a computing device to perform the following steps, the steps of: determining a cognitive function state and an external factor of a trainee measuring step of measuring; a trigger condition setting step of setting a trigger condition according to the measured cognitive function state and external factors; A solution providing step of deriving an improvement solution for an external factor to be controlled by analyzing the relationship between the trainee's cognitive function state and external factors, and providing the derived solution to the trainer's terminal; And, whether the trainee's solution is implemented by collecting external factors in the environment to which the trainee is exposed from the trainer terminal and one or more measurement devices interlocked with the trainee terminal, and determining whether the collected external factors satisfy a preset trigger condition It is characterized in that it comprises; a monitoring step of monitoring the.

According to an embodiment of the present invention, in the present invention, the difficulty of improving cognitive function for each trainee is configured based on factors for the trainee's cognitive level and controllable external environment, and external factors closely related to the trainee's cognitive function. By providing an improvement solution for this, it has the effect of increasing the effectiveness of preventing and alleviating dementia symptoms of trainees.

In addition, according to an embodiment of the present invention, in the present invention, a customized solution for improving an individual's cognitive function status and external factors closely related to the above-mentioned cognitive function status is provided for each trainee, so that systematic management can be performed. there is an effect that

In addition, according to an embodiment of the present invention, in the present invention, the solution established to the trainee is monitored whether the trainee is faithfully implementing the solution through the trainee terminal and the measuring device interlocked with the trainee terminal, and feedback is provided. This has the effect of increasing the trainee's solution implementation rate, thereby increasing the trainee's cognitive function management efficiency.

Also, according to an embodiment of the present invention, in the present invention, among trainees having similar cognitive function states and similar improvement directions of external factors, a trainee with a high solution implementation rate and a trainee with a low solution implementation rate are matched as training mates. As a mutual exchange activity between trainees, it is possible to increase the training participation of trainees with a low solution implementation rate, and in addition, it has the effect of strengthening the cognitive function of the social activity area according to the mutual exchange between trainees.

1 is a flowchart of a lifestyle artificial intelligence management method for improving cognitive function according to an embodiment of the present invention.
2 is an example of providing a measurement tool for measuring the cognitive function state of a trainee according to an embodiment of the present invention.
3 is an example of providing a measurement tool for measuring an external factor related to a life style of a trainee according to an embodiment of the present invention.
4 is an example of providing a solution according to an embodiment of the present invention.
5 is an example of an alert provided to a trainer or a guardian of a trainer according to an embodiment of the present invention.
6 is a conceptual diagram in which a training mate is matched according to an embodiment of the present invention, and an example in which a training result according to the generation of a training mate group is exchanged.
7 is a block diagram of a lifestyle artificial intelligence management device for improving cognitive function according to an embodiment of the present invention.
8 is an example of an internal configuration of a computing device according to an embodiment of the present invention.

Hereinafter, various embodiments and/or aspects are disclosed with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth to provide a thorough understanding of one or more aspects. However, it will also be recognized by one of ordinary skill in the art that such aspect(s) may be practiced without these specific details. The following description and accompanying drawings set forth in detail certain illustrative aspects of one or more aspects. These aspects are illustrative, however, and some of the various methods in principles of various aspects may be employed, and the descriptions set forth are intended to include all such aspects and their equivalents.

As used herein, “embodiment”, “example”, “aspect”, “exemplary”, etc. may not be construed as an advantage or advantage in any aspect or design described above over other aspects or designs. .

Also, the terms "comprises" and/or "comprising" mean that the feature and/or element is present, but excludes the presence or addition of one or more other features, elements and/or groups thereof. should be understood as not

Also, terms including an ordinal number such as 1st, 2nd, etc. may be used to describe various components, but the components are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, 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. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

In addition, in the embodiments of the present invention, unless otherwise defined, all terms used herein, including technical or scientific terms, are those commonly understood by those of ordinary skill in the art to which the present invention belongs. have the same meaning. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in an embodiment of the present invention, an ideal or excessively formal meaning is not interpreted as

The present invention relates to a lifestyle artificial intelligence management method for improving cognitive function. Specifically, the cognitive function improvement difficulty for each trainee is configured based on the trainee's cognitive level and factors related to the controllable external environment, and the lifestyle is improved The first purpose is to provide a lifestyle AI management technology for improving cognitive function to establish a solution, measure the actual cognitive function state and external factors of the trainee to evaluate the cognitive function state, and control risk factors of the trainee A second purpose is to provide technology to provide and monitor personal solutions established to improve

Hereinafter, as a description of the present invention for achieving the above-described object, the description will be made with reference to the accompanying drawings, and a plurality of drawings are simultaneously provided to describe one or more technical features or components constituting the invention. may be referenced.

First, referring to FIG. 1, FIG. 1 is a flowchart of a lifestyle artificial intelligence management method for improving cognitive function according to an embodiment of the present invention.

Specifically, in the present invention, the measuring step (S10) of measuring the cognitive function state and external factors of the trainee may be performed.

In step S10 described above, in order to measure the cognitive function state of the trainee, evaluation questions based on the Mini Mental State Examination (MMSE) are provided to the trainee terminal to collect the trainee's responses to the evaluation questions. Measures of the functional state can be derived.

In this case, the above-described simplified mental state test is one of the simplest and most useful tests for dementia screening, and in the present invention, the current cognitive function level of a trainee can be assessed and viewed through this simplified mental state test.

As an embodiment, referring to FIG. 2 , 100 of FIG. 2 shows an example of an evaluation item for determining the degree of cognitive function of a trainee based on a simple mental state test.

As shown in 100 of FIG. 2, in the present invention, as evaluation items for each cognitive domain, evaluation questions for each cognitive domain including time orientation, place orientation, memory registration, attention calculation, language, etc. are prepared, and points are assigned to each evaluation question. Then, it is possible to determine the level of the trainee's cognitive function by summing the correct scores for each cognitive domain from the responses input from the trainer's terminal.

In this case, in 110 of FIG. 2 , an example of an evaluation item based on a simple mental state test provided to the trainee terminal can be viewed.

Specifically, in 110 of FIG. 2, it can be understood as an evaluation item matching three object names, which are evaluation items prepared to determine the cognitive function of the trainee's memory registration area in 100 of FIG. By inputting responses to trees, cars, and hats in a separate response submission window through a keypad or a microphone, cognitive function evaluation can be performed.

Meanwhile, in the aforementioned step S10, external factors for the trainee's lifestyle are measured along with the cognitive function.

Specifically, in the present invention, in order to measure the external factors of the trainee, a questionnaire item for grasping the life style of the trainee may be provided to the trainee terminal, and the trainee's responses to the questionnaire may be collected.

At this time, the questionnaire questions for collecting the above-described external factors may consist of questionnaire questions about external factors including at least one of drinking, smoking, diet, sleep, physical activity, and social activity. As it relates to the lifestyle closely related to the cognitive function of the trainee, it can be understood as a concept of controllable risk factors that have a close influence on the development and deterioration of the cognitive function domain.

Meanwhile, in the present invention, a questionnaire item as shown in Example 200 of FIG. 3 is provided to the trainee terminal, and a multiple-choice response list is provided for each question item, and the external factors of the trainee are collected as responses selected and inputted from the trainer terminal. and to measure.

Meanwhile, the cognitive function state and external factors of the trainee measured in this way may be backed up to a preset trainee management server and managed, and trigger condition setting for setting trigger conditions according to the cognitive function state and external factors measured in step S10 described above Step S20 is performed.

In detail, in the above-described step S20, from the measurement result of the cognitive function state of the trainee, a cognitive region that does not satisfy a preset threshold value can be selected to define a cognitive region requiring improvement for each trainee, and the cognitive region requiring improvement and It is possible to set the trigger condition for a relevant external factor.

In this case, the setting of the trigger condition can be understood as setting the reference value of the external factor recommended to the trainee based on the trainee's cognitive function status measurement result, and the reference value of the external factor is the dementia symptom in the trainee's gender and age group. and. It can be understood as a concept of a value derived by machine learning by pre-collecting an external factor of a person who is not exposed to a risky disease causing dementia as a learning value.

Of course, the reference value of the above-mentioned external factors may be a value derived through consultation with a specialist specializing in dementia, or a value that does not meet the average value by quantifying the cognitive function measurement value of the trainee as a reference value. The present invention is not limited thereto.

In addition, after performing the above-described step S20, an improvement solution for the external factor to be controlled is derived by analyzing the relationship between the trainee's cognitive function state and external factors, and the derived solution is provided to the trainer's terminal. Step S30 may be performed.

Referring to 300 of FIG. 4 as an example of this, measured values of cognitive function states and external factors are shown in 300 of FIG. It is possible to set the trigger condition by selecting an area.

For example, in the 300 embodiment of FIG. 4 , step S20 is a cognitive region that requires improvement for the trainee. After selecting a memory registration region and attention-focusing calculation region that do not meet a preset reference value, an external solution for the cognitive region is provided. that can be derived.

On the other hand, as described above, the solution provided to the trainee may consist only of solutions for external factors including at least any one of external factors, that is, alcohol-related, smoking-related, diet-related, sleep-related, physical activity-related, and social activity-related. However, preferably, it may be provided by including a cognitive rehabilitation training program in which the training difficulty corresponding to the cognitive function state of the trainee is set.

That is, it can be seen with reference to an example in which a high-step exercise is proposed among the solutions shown in 300 of FIG. 4, and the high-step exercise provided as a solution is one of the cognitive rehabilitation exercise programs in the form of walking, and the determined step sequence and number of steps are stored in memory. It is a type of exercise program in which the trainee follows the step order and number of steps after doing so.

This high-step exercise has a function to activate the lower extremity muscles of the trainee as the step sequence becomes complicated or the number of steps increases depending on the level of cognitive function of the trainee, while developing the cognitive functions of the memory registration area and attentional calculation area. By doing so, it can be utilized as a solution suitable for trainees who lack physical activity and who need improvement of cognitive functions in the memory registration area and attention-focusing calculation area.

On the other hand, although not explicitly shown in FIG. 4 and the accompanying drawings, in the present invention, in providing a solution to a trainee terminal, a solution in a form in which an implementation plan of the solution is set at a preset unit cycle is provided, so that the trainee regularly provides a solution It may be possible to implement the present invention is not limited thereto.

Next, after performing step S30 of FIG. 1 , extrinsic factors in the environment to which the trainer is exposed are collected from the trainer terminal and one or more measurement devices interlocked with the trainer terminal, and whether the collected external factors satisfy a preset trigger condition By determining , a monitoring step (S40) of monitoring whether the trainee implements the solution may be performed.

In this case, the collection of the above-described external factors may be collected from one or more measurement devices including the trainee terminal as described above.

If the measurement method for each external factor is described in detail, for external factors related to drinking and smoking, for which specific measurement means have not been popularized, a query about whether to drink or not smoke every day is requested from the trainer's terminal, and responses from the trainer's terminal are collected. You can do it.

Of course, in this case, since there may be a problem that a response to the implementation of the solution may be submitted arbitrarily for whether or not to drink or smoke even if the trainee fails to implement the solution, in the case of direct inquiry from the trainee terminal, the guardian terminal such as the trainee's housemate It will be possible to collect information on external factors with higher accuracy by sending a query on whether the trainee is drinking or smoking together.

In addition, the collection of dietary information among external factors is to request the submission of photos of the food eaten in the morning, lunch and dinner from the trainer terminal, or collect information on the food consumed to collect information on the amount of food, nutrition information, etc. , it is to determine whether the solution is implemented by comparing it with the trigger condition set for the trainee.

In addition, the collection of sleep information among external factors uses the smart watch worn by the trainee to analyze the trainee's heart rate and trainee's movements to collect information related to sleep time, deep sleep time, REM sleep and non-REM sleep cycle, etc. and it is recorded in step S40 to determine whether the trainer implements the solution.

In addition, the collection of information on physical activity among external factors utilizes a smart watch worn by the trainee or a three-axis acceleration sensor and a gyro sensor built into the trainee's terminal to obtain information on the trainee's movement distance and calories consumed. After collection, it is compared with the trigger condition set for the trainee to determine whether the solution is implemented.

In addition, the collection of information on social activities among external factors analyzes the places visited by the trainee using the GPS module installed in the trainee's terminal, and the visiting place includes at least one of religious facilities, leisure facilities, and welfare facilities. In the case of a facility where interaction with others is expected, information on external factors on the trainee's social activities is collected in consideration of the length of stay and frequency of visitation, and then the solution is implemented by comparing it with the trigger conditions set for the trainee. will be judged

In this case, in the present invention, when the external factors collected in the above-described manner do not satisfy the preset trigger condition, it can function to provide a warning notification according to the solution failure to the trainer terminal.

As an explanation for this, referring to 400 of FIG. 5 , 400 of FIG. 5 shows an example in which a warning alert is provided according to the trainer's lack of dietary, particularly, vegetable intake, among external factors.

That is, as shown in 400 of FIG. 5 , the trainee may be alerted to an external factor that needs improvement by being provided with a boundary notification for an external factor that does not satisfy the trigger condition.

In addition, additional information for facilitating implementation of the solution may be further provided in the above-mentioned alert notification according to the type of external factors. It is understood that recommended dietary information such as 400 in FIG. can be

In this case, the above-described additional information may provide information on lung damage and cognitive decline due to excessive smoking in the case of alert for smoking, or liver damage and cognitive decline information due to excessive drinking in case of alert on alcohol. In the case of alert on physical activity, health deterioration information on obesity and cardiovascular disease may be provided, in case of alert on social activity, information related to depression, alert on sleep, sleep It may be understood that information on deterioration of health due to the shortage may be additionally provided.

In addition, after the alert notification is provided to the trainer terminal, the trainee who has received the alert alert is classified as an intensive monitoring target, and when it is determined that the normal implementation of the solution provided to the trainee during the preset intensive monitoring period is still not detected, the trainee By providing an expanded alert notification to the guardian's terminal, it may be possible to directly help the trainee in implementing the solution.

In this case, the above-described guardian terminal may be understood as a concept of any one or more of the trainee's cohabitation or the trainee's in charge of the welfare worker.

In addition, as another embodiment of step S40, in the present invention, it is possible to calculate and manage the solution implementation rate for each trainee, going further than simply determining whether the trainee implemented the solution or not.

At this time, the above-mentioned solution implementation rate may be calculated as the number of times the actual trainer implemented the solution compared to the total number of solution implementations promised by the trainee during the preset unit cycle (eg, weekly or monthly). There will be, and through this, it will be possible to judge the sincerity of the trainee in implementing the solution.

In addition, the calculated trainee's solution implementation rate may be transmitted to the trainee management server to accumulate and manage the trainee's solution implementation rate in time series.

In addition, in step S40 of the present invention, the solution transition rate is a means for driving the solution implementation rate of the trainee relatively. It is also possible to match at least one other trainee whose cognitive function state and the direction of improvement of the external factor are similar by more than a preset threshold value, so that it can be managed as a training mate group.

At this time, in the present invention, in creating the above-described training mate group, the calculated solution transition rate is an honors trainee who satisfies a preset threshold upper limit transition rate (for example, solution transition rate 90%), and the calculated solution transition rate is It is possible to form a training mate group by matching inferior trainees who do not meet the set threshold lower limit transition rate (for example, solution implementation rate 60%), and between a plurality of excellent trainees and inferior trainees belonging to the same training mate group. By allowing trainees to share extrinsic factor collections in the exposed environment, it can help improve the solution implementation rate of inferior trainees.

As an example, referring to Example 500 of FIG. 6 , among trainees with similar cognitive function states and similar improvement directions of external factors, trainee A, whose solution implementation rate is only 25%, and a solution implementation rate of 100 An example of matching % of trainer B as a training mate is shown. In 510 of FIG. 6 , an example of sharing a solution implementation result 5101 between training mates and providing an interface supporting chat 5102 can be seen. have.

According to one embodiment of the present invention described above, in the present invention, the difficulty of improving cognitive function for each trainee is configured based on the trainee's cognitive level and factors related to the controllable external environment, and is closely related to the trainee's cognitive function. By providing an improvement solution for external factors that have this, there is an effect of increasing the trainee's dementia symptom prevention and alleviation efficiency.

In addition, according to an embodiment of the present invention, in the present invention, a customized solution for improving an individual's cognitive function status and external factors closely related to the above-mentioned cognitive function status is provided for each trainee, so that systematic management can be performed. there is an effect that

In addition, according to an embodiment of the present invention, in the present invention, the solution established to the trainee is monitored whether the trainee is faithfully implementing the solution through the trainee terminal and the measuring device interlocked with the trainee terminal, and feedback is provided. This has the effect of increasing the trainee's solution implementation rate, thereby increasing the trainee's cognitive function management efficiency.

Also, according to an embodiment of the present invention, in the present invention, among trainees having similar cognitive function states and similar improvement directions of external factors, a trainee with a high solution implementation rate and a trainee with a low solution implementation rate are matched as training mates. As a mutual exchange activity between trainees, it is possible to increase the training participation of trainees with a low solution implementation rate, and in addition, it has the effect of strengthening the cognitive function of the social activity area according to the mutual exchange between trainees.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible by those skilled in the art from the above description.

Meanwhile, FIG. 6 shows a configuration diagram of an artificial intelligence management apparatus 10 for lifestyle habits for improving cognitive function according to an embodiment of the present invention.

As shown in FIG. 6 , the device 10 of the present invention may include a measuring unit 11 , a trigger condition setting unit 12 , a solution providing unit 13 , and a monitoring unit 14 .

At this time, the above-described measurement unit 11 measures the cognitive function status and external factors of the trainee using the prepared cognitive function evaluation tool (simple mental state test) and a tool for collecting external factors related to the life style of the trainee (external factor questionnaire). function to measure.

That is, the above-described measurement unit 11 may be understood to be capable of performing all the functions performed in step S10 of FIG. It is possible to derive meaningful data on the correlation of factors.

In addition, the trigger condition setting unit 12 described above functions to set the trigger condition according to the cognitive function state of the trainee measured by the measurement unit 11 and external factors.

In this case, the setting of the trigger condition can be understood as setting the reference value of the external factor recommended to the trainee based on the trainee's cognitive function status measurement result, and the reference value of the external factor is the dementia symptom in the trainee's gender and age group. and. It can be understood as a concept of a value derived by machine learning by pre-collecting an external factor of a person who is not exposed to a risky disease causing dementia as a learning value.

Of course, the reference value of the above-described external factor may be a value derived through consultation with a specialist specializing in dementia, and the present invention is not limited thereto.

As a result, it can be understood that the above-described trigger condition setting unit 12 can perform all the functions performed in step S20 of FIG. 1 , and in the present invention, a solution to be described later by performing the function of the trigger condition setting unit 12 It is possible to establish provision standards.

Next, the configuration of the apparatus 10 of the present invention includes the solution providing unit 13 described above, and the solution providing unit 13 analyzes the cognitive function state of the trainee and the correlation between the external factors to determine the control target external factors. It functions to derive an improved solution for the training and provide the derived solution to the trainee terminal 20 .

That is, it is preferable that the solution providing unit 13 is understood to be able to perform all the functions performed in step S30 of FIG. There is an effect of providing a personalized solution for dementia prevention and alleviation of dementia symptoms. In particular, the present invention provides an improvement solution for external factors closely related to dementia symptoms, thereby improving cognitive rehabilitation training and lifestyle. The synergistic effect can increase the prevention and alleviation of dementia symptoms.

In addition, the configuration of the device 10 of the present invention includes the monitoring unit 14 as described above.

Specifically, the above-described monitoring unit 14 collects external factors in the environment to which the trainer is exposed from the trainer terminal 20 and one or more measurement devices interlocked with the trainer terminal 20, and the collected external factors trigger a preset trigger By determining whether the condition is satisfied, it functions to monitor whether the trainee implements the solution, and the monitoring result from the monitoring unit 14 is transmitted to the preset trainee management server 30 to be managed in time series.

That is, it is preferable that the above-described monitoring unit 14 is understood to be able to perform all the functions performed in step S40 of FIG. Since implementation is managed, it is possible to reduce the problem that trainees do not faithfully implement the provided solution and to inspire trainees to implement the solution.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible by those skilled in the art from the above description.

Meanwhile, referring to FIG. 8 , FIG. 8 shows an example of an internal configuration of a computing device according to an embodiment of the present invention. A description of unnecessary embodiments will be omitted.

8, the computing device 10000 includes at least one processor 11100, a memory 11200, a peripheral interface 11300, an input/output subsystem ( It may include at least an I/O subsystem) 11400 , a power circuit 11500 , and a communication circuit 11600 . In this case, the computing device 10000 may correspond to a user terminal connected to the tactile interface device (A) or the aforementioned computing device (B).

The memory 11200 may include, for example, a high-speed random access memory, a magnetic disk, an SRAM, a DRAM, a ROM, a flash memory, or a non-volatile memory. have. The memory 11200 may include a software module, an instruction set, or other various data required for the operation of the computing device 10000 .

In this case, access to the memory 11200 from other components such as the processor 11100 or the peripheral device interface 11300 may be controlled by the processor 11100 .

Peripheral interface 11300 may couple input and/or output peripherals of computing device 10000 to processor 11100 and memory 11200 . The processor 11100 may execute a software module or an instruction set stored in the memory 11200 to perform various functions for the computing device 10000 and process data.

The input/output subsystem 11400 may couple various input/output peripherals to the peripheral interface 11300 . For example, the input/output subsystem 11400 may include a controller for coupling peripheral devices such as a monitor, keyboard, mouse, printer, or a touch screen or sensor as needed to the peripheral interface 11300 . According to another aspect, input/output peripherals may be coupled to peripheral interface 11300 without going through input/output subsystem 11400 .

The power circuit 11500 may supply power to all or some of the components of the terminal. For example, the power circuit 11500 may include a power management system, one or more power sources such as batteries or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator, or a power source. It may include any other components for creation, management, and distribution.

The communication circuit 11600 may enable communication with another computing device using at least one external port.

Alternatively, as described above, if necessary, the communication circuit 11600 may include an RF circuit to transmit and receive an RF signal, also known as an electromagnetic signal, to enable communication with other computing devices.

This embodiment of FIG. 8 is only an example of the computing device 10000, and the computing device 11000 may omit some components shown in FIG. 8 or further include additional components not shown in FIG. 8, or 2 It may have a configuration or arrangement that combines two or more components. For example, a computing device for a communication terminal in a mobile environment may further include a touch screen or a sensor in addition to the components shown in FIG. 8 , and various communication methods (WiFi, 3G, LTE) in the communication circuit 1160 , Bluetooth, NFC, Zigbee, etc.) may include a circuit for RF communication. Components that may be included in the computing device 10000 may be implemented in hardware, software, or a combination of both hardware and software including an integrated circuit specialized for one or more signal processing or applications.

Methods according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computing devices and recorded in a computer-readable medium. In particular, the program according to the present embodiment may be configured as a PC-based program or an application dedicated to a mobile terminal. The application to which the present invention is applied may be installed in the user terminal through a file provided by the file distribution system. For example, the file distribution system may include a file transmission unit (not shown) that transmits the file according to a request of the user terminal.

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, the devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system.

The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that may include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. may be permanently or temporarily embody in The software may be distributed over networked computing devices, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like.

Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible by those skilled in the art from the above description. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result. Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (10)

In the artificial intelligence management method for lifestyle for improving cognitive function implemented in a computing device comprising one or more processors and one or more memories for storing instructions executable by the processor,
Measuring step of measuring the cognitive function state and external factors of the trainee;
a trigger condition setting step of setting a trigger condition according to the measured cognitive function state and external factors;
a solution providing step of deriving an improvement solution for an external factor to be controlled by analyzing the relationship between the trainee's cognitive function state and external factors, and providing the derived solution to a trainer's terminal; and,
By collecting external factors in the environment to which the trainer is exposed from the trainer terminal and one or more measurement devices interlocked with the trainer terminal, and determining whether the collected external factors satisfy the preset trigger condition, the trainee's A lifestyle AI management method for improving cognitive function, comprising: a monitoring step of monitoring whether the solution is implemented.
According to claim 1,
The measurement step is
In order to measure the cognitive function state of the trainee, by providing an evaluation question based on a Mini Mental State Examination (MMSE) to the trainee terminal, and collecting the trainee's responses to the evaluation question, the trainee's A lifestyle artificial intelligence management method for improving cognitive function, characterized in that it derives a measured value for the state of cognitive function.
According to claim 1,
The measurement step is
In order to measure the external factors of the trainee, a questionnaire question for understanding the lifestyle of the trainee is provided to the trainee terminal, and the trainee's responses to the questionnaire are collected,
The questionnaire questions are,
A lifestyle artificial intelligence management method for improving cognitive function, characterized in that it consists of questionnaire items on external factors including at least one of drinking, smoking, diet, sleep, physical activity, and social activity.
According to claim 1,
The trigger condition setting step is
From the measurement result of the trainee's cognitive function state, a cognitive region that does not satisfy a preset threshold reference value is selected and defined as a cognitive region that needs improvement,
A lifestyle artificial intelligence management method for improving cognitive function, characterized in that a trigger condition for an external factor related to the cognitive area requiring improvement is set.
According to claim 1,
The monitoring step is
For each preset unit cycle, calculating the solution implementation rate of the trainee from the monitoring result on whether the trainee implements the solution,
Recognition characterized in that by transmitting the calculated solution implementation rate to the trainee management server, the trainee and at least one other trainee whose cognitive function state and external factor measurement value are similar to or greater than a threshold value are matched to be managed as a training mate group Lifestyle artificial intelligence management method to improve function.
6. The method of claim 5,
In the training mate group,
The calculated solution adherence rate meets a preset threshold adherence rate, and an inferior trainee whose calculated solution adherence rate does not meet a preset threshold adherence rate is matched;
A lifestyle artificial intelligence management method for improving cognitive function, characterized in that a plurality of trainees belonging to the same training mate group can share the collected values of external factors in the environment to which the trainees are exposed.
According to claim 1,
In the solution providing step,
As a solution provided to the trainer's terminal, the artificial intelligence management method for lifestyle for improving cognitive function, characterized in that it can be provided by including a cognitive rehabilitation training program in which a training difficulty corresponding to the cognitive function state of the trainee is set.
According to claim 1,
The monitoring step is
When the collected external factors do not satisfy a preset trigger condition, providing a warning notification according to solution failure to the trainer terminal,
After the alert notification is provided, when the normal implementation of the solution is not detected during a preset intensive monitoring period, the alertness alert is expanded and provided to the trainer's guardian terminal. How to manage your intelligence.
In the artificial intelligence management device for lifestyle for improving cognitive function implemented in a computing device including one or more processors and one or more memories for storing instructions executable by the processor,
a measurement unit for measuring the cognitive function state and external factors of the trainee;
a trigger condition setting unit for setting a trigger condition according to the measured cognitive function state and external factors;
a solution providing unit for deriving an improvement solution for an external factor to be controlled by analyzing the relationship between the cognitive function state of the trainee and the external factor, and providing the derived solution to the trainer's terminal; and,
By collecting external factors in the environment to which the trainer is exposed from the trainer terminal and one or more measurement devices interlocked with the trainer terminal, and determining whether the collected external factors satisfy the preset trigger condition, the trainee's Lifestyle artificial intelligence management device for improving cognitive function, characterized in that it comprises; a monitoring unit to monitor whether the solution is implemented.
A computer-readable recording medium comprising:
The computer-readable recording medium stores instructions for causing a computing device to perform the following steps:
Measuring step of measuring the cognitive function state and external factors of the trainee;
a trigger condition setting step of setting a trigger condition according to the measured cognitive function state and external factors;
a solution providing step of deriving an improvement solution for an external factor to be controlled by analyzing the relationship between the trainee's cognitive function state and external factors, and providing the derived solution to a trainer's terminal; and,
By collecting external factors in the environment to which the trainer is exposed from the trainer terminal and one or more measurement devices interlocked with the trainer terminal, and determining whether the collected external factors satisfy the preset trigger condition, the trainee's A computer-readable recording medium comprising a; a monitoring step of monitoring whether the solution is implemented.

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