KR102166440B1 - Balance Analysis System and Method for diagnosing the Degree of Dementia - Google Patents

Abstract

The present invention relates to a sense-of-balance analysis system for diagnosing the degree of dementia using a machine learning model, and a method thereof. More particularly, the present invention relates to a sense-of-balance analysis system and method for diagnosing the degree of dementia by analyzing the user′s sense of balance by measuring pressure according to the load applied to the user′s left and right feet.

Description

Balance Analysis System and Method for diagnosing the Degree of Dementia

The present invention relates to a balance sensation analysis system and method for diagnosing the degree of dementia using a machine learning model, and more particularly, by analyzing the user's sense of balance by measuring pressure according to the load applied to the user's left and right feet. , To diagnose the progression of dementia of the user, to a sense of balance analysis system and method for diagnosis of dementia.

With the development of modern technology, cases of applying machine learning models such as Deep Learning, Machine Learning, Support Vector Machine (SVM), and Neural Network are increasing in many technical fields. Conventionally, techniques for measuring and analyzing various human biological signals using a machine learning model have existed in the prior art.

On the other hand, patients with mental disorders such as mild cognitive impairment, dementia, and Alzheimer's that affect daily life from relatively mild symptoms are increasing, and one of the symptoms experienced by patients with such brain diseases is balance. It can be cited as decreased sensation and imbalance. Loss of balance increases the incidence of falls and thus the risk of fracture. However, the caregivers of patients with these brain diseases always wait by the patient's side, and it is difficult to meet the environmental requirements to take care of the patient's condition, and if it is an initial weak symptom, it may be skipped without being checked. high portential.

Such dementia is attracting attention as a disease to be noted in modern society, and the importance of prevention is being emphasized. It is very essential to prevent dementia and treat it at an early stage without missing the minor symptoms that indicate dementia, but most of the dementia patients themselves or their guardians ignore these small changes and self-diagnose dementia only after it has already become severe. Or, the situation is being diagnosed at a medical institution.

In order to solve such a problem, through a sense of balance analysis, the system provides a system that allows the presence or absence of dementia of a patient to be implemented at home and in daily life, and wear it for a certain period of time, so that the user is simply in the middle of daily life There is a need for a technology to more accurately analyze the degree of dementia of a user through data that can also be collected, but such conventional technology is absent.

An object of the present invention is to analyze the user's sense of balance by measuring the pressure according to the load applied to the user's left and right feet, thereby diagnosing the progression of dementia of the user, a system and method for analyzing the sense of balance for diagnosis To provide.

In order to solve the above problems, the present invention is a balance sensation analysis system for diagnosing the degree of dementia, the left foot pressure measurement module for measuring the pressure of the user's left foot; A right foot pressure measurement module for measuring the pressure of the user's right foot; A user terminal receiving pressure measurement information from the left foot pressure measurement module and the right foot pressure measurement module, and generating pressure asymmetry information on a difference between the pressure in the left foot and the pressure in the right foot based on the pressure measurement information; And a service server that derives the dementia degree information of the user based on the determination basic information including the pressure asymmetry information and the machine-learned first dementia degree determination module, and transmits the dementia degree information to the user terminal; and , The pressure asymmetry information provides a sense of balance analysis system for diagnosing the degree of dementia, which is a form of data over time.

In an embodiment of the present invention, the left foot pressure measurement module includes an insole, a first pressure sensor disposed under the insole to measure pressure, and a second pressure sensor spaced apart from the first pressure sensor to measure pressure Insole portion comprising a; A fixing part formed to be detachable to the entrance of the shoe; A main body module including a communication module for performing communication with a user terminal, a battery unit, and a control unit for controlling an operation of the insole unit; And a connection line for transmitting signals of the first pressure sensor and the second pressure sensor to the main body module.

In an embodiment of the present invention, the pressure measurement information includes: first left foot pressure information at a first point of the left foot and second left foot pressure information at a second point of the left foot measured from the left foot pressure measurement module; And first right foot pressure information of a first point of the right foot measured from the right foot pressure measuring module. And second right foot pressure information at a second point; wherein the pressure asymmetry information includes a maximum pressure for each walking period of the first left foot pressure information over time and each walking period of the first right foot pressure information First pressure asymmetry information derived based on the difference in maximum pressure and the weight of the user; And second pressure asymmetry information derived based on a difference between a maximum pressure for each gait cycle of the second left foot pressure information over time and a maximum pressure for each gait cycle of the second right foot pressure information and a user's body weight. It may include.

In an embodiment of the present invention, the pressure measurement information includes: first left foot pressure information at a first point of the left foot and second left foot pressure information at a second point of the left foot measured from the left foot pressure measurement module; And first right foot pressure information of a first point of the right foot measured from the right foot pressure measuring module. And second right foot pressure information at the second point; wherein the pressure asymmetry information includes a maximum pressure for each walking period in the first left foot pressure information and a maximum pressure for each walking period in the second left foot pressure information. Including the average value, the difference between the average value of the maximum pressure for each walking cycle of the first right foot pressure information and the maximum pressure for each walking cycle of the second right foot pressure information and third pressure asymmetry information derived based on the user's weight can do.

In an embodiment of the present invention, the user terminal includes a time interval for each walking period of the pressure measurement information measured from the left foot pressure measurement module and a time interval for each walking period of the pressure measurement information measured from the right foot measurement module. Periodic asymmetry information for the difference may be further generated, and the basic information for determination may further include the periodic asymmetry information.

In an embodiment of the present invention, the pressure measurement information includes: first left foot pressure information at a first point of the left foot and second left foot pressure information at a second point of the left foot measured from the left foot pressure measurement module; And first right foot pressure information of a first point of the right foot measured from the right foot pressure measuring module. And second right foot pressure information at a second point; wherein the periodic asymmetry information includes first left foot interval information about a time interval between a time interval at which the maximum pressure for each walking cycle of the first left foot pressure information is measured ; And first periodic asymmetry information derived based on a difference between the first right foot interval information and first right foot interval information for a time interval between the time intervals at which the maximum pressure for each walking period of the first right foot pressure information is measured. Second left foot interval information about a time interval between the point in time at which the maximum pressure for each walking period of the second left foot pressure information is measured; And second periodic asymmetry information derived based on a difference between the second right foot interval information and second right foot interval information for a time interval between the time intervals at which the maximum pressure for each walking period of the second right foot pressure information is measured.

In an embodiment of the present invention, the pressure measurement information includes: first left foot pressure information at a first point of the left foot and second left foot pressure information at a second point of the left foot measured from the left foot pressure measurement module; And first right foot pressure information of a first point of the right foot measured from the right foot pressure measuring module. And second right foot pressure information at a second point; wherein the periodic asymmetry information includes first left foot interval information about a time interval between a time interval at which the maximum pressure for each walking cycle of the first left foot pressure information is measured And the average value of the second left foot interval information for the time interval between the time intervals at which the maximum pressure for each walking cycle of the second left foot pressure information is measured, and the maximum pressure for each walking cycle of the first right foot pressure information are measured. Derived based on the difference between the average value of the second right foot interval information for the time interval between the time intervals at which the first right foot interval information for the time interval between the time points and the maximum pressure for each walking cycle of the second right foot pressure information is measured The third period asymmetry information may be included.

In one embodiment of the present invention, the user terminal generates the pressure asymmetry information by collecting pressure measurement information of the user according to a preset period, and the pressure asymmetry information collected and generated in the past is collected and generated. Dementia risk notification information may be provided to the user when it meets the notification criteria updated based on the pressure asymmetry information.

In an embodiment of the present invention, the user terminal generates the pressure asymmetry information by collecting pressure measurement information of the user according to a preset period, and the service server, the pressure asymmetry information collected and generated in the past and Based on the difference between the pressure asymmetry information collected and generated by the user, the degree of dementia progress information of the user can be derived, and the degree of dementia information can be derived by a machine-learned second dementia degree judgment module based on the degree of dementia progression information. have.

In order to solve the above problems, in an embodiment of the present invention, as a balance sensation analysis method for diagnosing the degree of dementia performed in a computing system including at least one memory and at least one processor, the computing system includes: a user terminal , A service server, a left foot pressure measuring module, and a right foot pressure measuring module, and a left foot pressure measuring step of measuring the pressure of the user's left foot by the left foot pressure measuring module; A right foot pressure measuring step of measuring the pressure of the user's right foot by the right foot pressure measuring module; By the user terminal, the pressure measurement information measured from the left foot pressure measurement step and the right foot pressure measurement step is received, and based on the pressure measurement information, pressure asymmetry for the difference between the maximum pressure in the left foot and the maximum pressure in the right foot Generating information; And by the service server, based on the determination basic information including the pressure asymmetry information and the machine-learned first dementia information determination module, the dementia information of the user is derived, and the dementia degree information is transmitted to the user terminal. Including, the pressure asymmetry information provides a balance sensation analysis method for diagnosing the degree of dementia, which is a data type over time.

According to an exemplary embodiment of the present invention, by analyzing a sense of balance based on pressure information caused by a user's load using a machine-learned model, an effect of diagnosing a user's degree of dementia may be exhibited.

According to an embodiment of the present invention, it is possible to exhibit an effect of diagnosing the degree of dementia of a user with only a simple device in daily life without the hassle of visiting a medical institution separately for diagnosis of dementia.

According to an embodiment of the present invention, by diagnosing the degree of dementia according to the user's pressure measurement information by using a machine-learned model based on data of a dementia patient suffering from dementia and data of a general person who does not suffer from dementia, It can exert the effect of deriving diagnosis results for the degree of dementia.

According to an embodiment of the present invention, by analyzing the degree of dementia according to his/her own data in the past and his/her current data, the user can show an effect of checking how much his or her degree of dementia has progressed compared to the past. I can.

According to an embodiment of the present invention, by providing dementia risk notification information notifying the user to visit a medical institution according to the degree of progression of dementia, the precursor to dementia is neglected to prevent progression to severe and dementia can be prevented early. It can exert the effect that can be.

1 schematically shows the form of a sense of balance analysis system for diagnosing the degree of dementia according to an embodiment of the present invention.
2 schematically shows a user wearing a left foot pressure measurement module and a right foot pressure measurement module according to an embodiment of the present invention.
3 schematically shows a left foot pressure measurement module and a right foot pressure measurement module according to an embodiment of the present invention.
4 schematically shows an operating environment of a sense of balance analysis system for performing a sense of balance analysis for diagnosing the degree of dementia according to an embodiment of the present invention.
5 schematically shows a process of performing a step of generating periodic asymmetry information of a user terminal according to an embodiment according to an embodiment of the present invention.
6 schematically shows pressure measurement information and maximum pressure information according to an embodiment of the present invention.
7 schematically shows a performing step of generating periodic asymmetry information in a user terminal according to an embodiment of the present invention.
8 schematically shows pressure measurement information and interval information according to a user's walking according to an embodiment of the present invention.
9 schematically shows pressure asymmetry information and period asymmetry information derived based on pressure measurement information according to a user's walking according to an embodiment of the present invention.
10 schematically shows pressure asymmetry information and period asymmetry information derived based on pressure measurement information according to a user's walking according to another embodiment of the present invention.
11 is a diagram of pressure measurement information and period measurement information for explaining the operation of a user terminal providing dementia risk notification information based on the user's pressure measurement information according to an embodiment of the present invention.
12 schematically shows the operation of the second degree of dementia determination module according to an embodiment of the present invention.
13 exemplarily illustrates an internal configuration of a computing device according to an embodiment of the present invention.

In the following, various embodiments and/or aspects are now disclosed with reference to the drawings. In the following description, for purposes of explanation, a number of specific details are disclosed to aid in an overall understanding of one or more aspects. However, it will also be appreciated by those of ordinary skill in the art that this aspect(s) may be practiced without these specific details. The following description and the annexed drawings set forth in detail certain illustrative aspects of one or more aspects. However, these aspects are exemplary and some of the various methods in the principles of the various aspects may be used, and the descriptions described are intended to include all such aspects and their equivalents.

Further, various aspects and features will be presented by a system that may include multiple devices, components and/or modules, and the like. It is also noted that various systems may include additional devices, components and/or modules, and/or may not include all of the devices, components, modules, etc. discussed in connection with the figures. It must be understood and recognized.

As used herein, “an embodiment,” “example,” “aspect,” “example,” and the like may not be construed as having any aspect or design described as being better or advantageous than other aspects or designs. . The terms'~part','component','module','system', and'interface' used below generally mean a computer-related entity, for example, hardware, hardware It can mean a combination of software and software, or software.

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

In addition, terms including ordinal numbers such as first and second may be used to describe various elements, but the elements are not limited by the terms. These terms are used only for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element. The term 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 commonly understood by those of ordinary skill in the art to which the present invention belongs. It has the same meaning as. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless explicitly defined in the embodiments of the present invention, an ideal or excessively formal meaning Is not interpreted as.

The "user terminal" mentioned below may be implemented as a computer or portable terminal that can access a server or other terminal through a network. Here, the computer includes, for example, a notebook equipped with a web browser, a desktop, a laptop, and the like, and the portable terminal is, for example, a wireless communication device that ensures portability and mobility. , 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, etc. may include all kinds of handheld-based wireless communication devices. In addition, "network" refers to a wired network such as a local area network (LAN), a wide area network (WAN), or a value-added network (VAN), or a mobile radio communication network or satellite It can be implemented in any type of wireless network such as a communication network.

1 schematically shows the form of a sense of balance analysis system for diagnosing the degree of dementia according to an embodiment of the present invention.

The balance sensation analysis system for diagnosing the degree of dementia of the present invention includes a shoe 1000 including a left foot pressure measurement module 1100 and a right foot pressure measurement module 1200, a user terminal 2000, and It includes a service server (3000). The user terminal 2000 may correspond to the aforementioned user terminal, and the service server 3000 may include one or more memories and one or more processes. The user terminal 2000 may receive data measured from the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200 and communicate with the service server 3000. The service server 3000 may receive data from the user terminal 2000 and derive the degree of dementia information by a machine-learned dementia degree determination module based on the received data.

The right foot pressure measurement module 1200 and the left foot pressure measurement module 1100 may include one or more pressure sensors to sense pressures in the left foot and the right foot according to a load applied to the sensor. Hereinafter, specific configurations of the right foot pressure measurement module 1200 and the left foot pressure measurement module 1100 will be described.

2 schematically shows a user wearing the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200 according to an embodiment of the present invention.

As shown in Figure 2, the user can walk while wearing the shoes 1000 provided with the left foot pressure measuring module 1100 and the right foot pressure measuring module 1200 of the present invention. While the user is walking, the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200 measure pressure according to the user's load to generate pressure measurement information, and use the generated pressure measurement information to the user terminal 2000. To send. Thereafter, the user terminal 2000 generates pressure asymmetry information and period asymmetry information of the user based on the transmitted pressure measurement information. In this way, the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200 attached to the shoe 1000 may measure pressure applied according to the user's load.

3 schematically shows the structures of the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200 according to an embodiment of the present invention.

Specifically, the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200 of the present invention are disposed under the insole 1111 and the insole 1111 located inside the shoe 1000 to measure the pressure. An insole part 1110 including a pressure sensor 110 and a second pressure sensor 120 spaced apart from the first pressure sensor 110 by a predetermined distance to measure pressure; A fixing part 1120 formed to be detachably attached to the entrance of the shoe 1000; A main body module 1130 including a communication module for performing communication with the user terminal 2000, a battery unit, and a control unit for controlling the operation of the insole unit 1110; And a connection line 1140 for transmitting signals from the first pressure sensor 110 and the second pressure sensor 120 to the main body module 1130.

3(a) schematically shows a plan view of the insole part 1110. As shown in (a) of Figure 3, the insole part 1110 includes an insole 1111, and a first pressure sensor 110 and a second pressure sensor 120 at the lower side of the insole 1111 Is placed. The first pressure sensor 110 is disposed at a first point on the lower side of the insole 1111 close to the heel of the user's foot, and the second pressure sensor 120 is on the lower side of the insole 1111 close to the user's toe. It is placed at the second point. In this way, the second point is spaced a predetermined distance from the first point. Meanwhile, the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200 include a main body module 1130, a connection line 1140, and a fixing part 1120. The main body module 1130 includes a battery unit, a communication module performing communication with the user terminal 2000, a battery unit, and a control unit for controlling the operation of the insole unit 1110. The fixing part 1120 includes an elastic fixture, a first handle 1125 and a second handle 1126. As shown in (b) of FIG. 3, the elastic fixture is continuously formed on the first elastic portion 1121 and the first elastic portion 1121, and is bent with respect to the first elastic portion 1121. The second elastic portion 1122 in the shape, the third elastic portion 1123 in the shape bent with respect to the second elastic portion 1122, the fourth elastic portion in the shape bent with respect to the third elastic portion 1123 Including (1124), is formed of an elastic metal plate. As shown in FIG. 3(c), the elastic fixture can be detached by contacting one end of the first elastic part 1121 and one end of the fourth elastic part 1124 into contact with the entrance of the shoe 1000. have. In addition, the main body module 1130 is accommodated in an internal space formed by the first elastic portion 1121, the second elastic portion 1122, and the third elastic portion 1123, and the user's feet The body module 1130 is fixed at the entrance of the shoe 1000 adjacent to the heel, and the fixed body module 1130 is received from the first pressure sensor 110 and the second pressure sensor 120 while the user is walking. The pressure measurement information may be transmitted to the user terminal 2000.

With this configuration, the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200 are detachable to the user's shoe 1000, so that when a diagnosis of the degree of dementia is required, a fixing part ( It can be fixed through 1120), and it is possible to exert the effect of accurately measuring the pressure according to the user's load in everyday life without having any other device.

4 schematically shows an operating environment of a sense of balance analysis system for performing a sense of balance analysis for diagnosing the degree of dementia according to an embodiment of the present invention.

As shown in Figure 4, the user terminal 2000 receiving the pressure measurement information from the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200, based on the pressure measurement information, pressure asymmetry information and period asymmetry information Create The pressure asymmetry information includes first pressure asymmetry information, second pressure asymmetry information, and third pressure asymmetry information, and the periodic asymmetry information includes first period asymmetry information, second period asymmetry information, and third period asymmetry information. Include. The pressure measurement information includes first left foot pressure information at the first point of the left foot measured from the first pressure sensor 110 of the left foot pressure measurement module 1100, and the second pressure sensor 120 of the left foot pressure measurement module 1100. The second left foot pressure information of the second point of the left foot measured from ); And first right foot pressure information of the first point of the right foot measured from the first pressure sensor 110 of the right foot pressure measuring module 1200. And second right foot pressure information of the second point measured by the second pressure sensor 120. The pressure asymmetry information refers to information capable of determining the degree of asymmetry according to a difference between the pressure in the user's left foot and the pressure in the user's right foot. The period asymmetry information is information on a difference between a time interval for each walking period of the pressure measurement information measured from the left foot pressure measurement module 1100 and a time interval for each walking period of the pressure measurement information measured from the right foot measurement module Means. The periodic asymmetry information refers to information capable of determining the degree of asymmetry according to the difference in time intervals, but not the same time interval, but different time intervals between steps of two feet according to the user's sense of balance. In this way, the user terminal 2000 may generate pressure asymmetry information and period asymmetry information based on the pressure measurement information.

Thereafter, the user terminal 2000 transmits the generated pressure asymmetry information and period asymmetry information to the service server 3000. The service server 3000 derives the degree of dementia information by the machine-learned first degree of dementia determination module based on the basic determination information including the received pressure asymmetry information and periodic asymmetry information. The dementia degree information may be displayed as a level or score. The first degree of dementia determination module refers to a machine-learned model for learning data including pressure asymmetry information and periodic asymmetry information of existing dementia patients, pressure asymmetry information and periodic asymmetry information of ordinary people without dementia. . The first degree of dementia determination module determines whether the user has dementia disease and how long dementia has progressed with respect to the input determination basic information when the user's pressure asymmetry information and period asymmetry information are input. Dementia degree information including degree can be derived.

Hereinafter, the pressure asymmetry information and the periodic asymmetry information will be described in more detail.

5 schematically shows a process of performing the step of generating periodic asymmetry information of the user terminal 2000 according to an embodiment of the present invention, and FIG. 6 of the user terminal 2000 is It schematically shows pressure measurement information and maximum pressure information according to an embodiment.

The user terminal 2000 of the present invention performs the step of generating the pressure asymmetry information as shown in FIG. 5, and the step of generating the pressure asymmetry information includes the pressure measurement information being equal to or greater than a preset standard. Determining a gait cycle according to whether or not (S100); Extracting the maximum pressure for each walking cycle (S110); And generating pressure asymmetry information based on the maximum pressure value for each walking period (S120).

Specifically, in step S100, the walking period is determined according to whether the pressure measurement information over time is equal to or greater than a preset reference. The pressure measurement information measured by each of the pressure sensors of the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200 may sense a pressure according to a load according to the user's steps. 6(a) is the first left foot pressure information of the first point of the left foot measured from the first pressure sensor 110 of the left foot pressure measurement module 1100 in order from the top, and the first left foot pressure measurement module 1100. 2 The second left foot pressure information of the second point of the left foot measured from the pressure sensor 120, the first right foot pressure information of the first point of the right foot measured from the first pressure sensor 110 of the right foot pressure measuring module 1200 , And second right foot pressure information of the second point of the right foot measured from the second pressure sensor of the right foot pressure measuring module 1200 is schematically shown.

As shown in (a) of Figure 6, when the user's left heel touches the ground, the pressure is measured by the first pressure sensor 110 of the left foot pressure measurement module 1100, and then, the left forefoot is on the ground. When it touches, the pressure is measured by the second pressure sensor 120 of the left foot pressure measurement module 1100. Thereafter, when the user moves the foot and the user's right heel touches the ground, the pressure is measured by the first pressure sensor 110 of the right foot pressure measurement module 1200, and then, when the right forefoot touches the ground, the right foot pressure The pressure is measured by the second pressure sensor 120 of the measurement module 1200. The left foot pressure measurement module 1100 and the right foot pressure measurement module 1200 measure the pressure on both feet of the user over time, and the pressure measurement information on both feet is transmitted to the user terminal 2000. The user terminal 2000 receiving the pressure measurement information determines a walking section and a walking period according to whether the pressure measurement information is equal to or greater than a pressure value of a preset reference that is assumed to be the user walking.

In step S110, the maximum pressure for each walking cycle is extracted. Figure 6 (a) shows the first left foot pressure information, the second left foot pressure information, the first right foot pressure information, and the second right foot pressure information in turn, and shows that the maximum value is displayed in each walking section. do. In this way, the maximum pressure can be extracted from the corresponding walking section for each walking period and derived as a representative value in the corresponding walking period, and FIG. 6(b) shows the maximum pressure value for each walking period. Shows pressure information. Thereafter, the user terminal 2000 extracts the maximum pressure for each walking period of the user based on the received pressure measurement information. When the pressure measurement information as shown in (a) of FIG. 6 is received, the user's pressure is measured above a preset standard (W ₁ , W- ₂ , W ₃ , and W ₄ of the graph of FIG. 6 (a), respectively) The maximum pressure value is extracted for each section, that is, for each user's walking period. In this way, the user terminal 2000 receives the pressure measurement information and derives the maximum pressure value for each walking period.

In step S120, pressure asymmetry information is generated based on the maximum pressure value for each walking period. The user terminal 2000 may generate pressure asymmetry information based on each maximum pressure value extracted in step S110. A method of deriving specific pressure asymmetry information will be described later.

FIG. 7 schematically shows a performing step of generating periodic asymmetry information in the user terminal 2000 according to an embodiment of the present invention, and FIG. 8 is a pressure measurement information according to a user's gait according to an embodiment of the present invention. And interval information is schematically shown.

The user terminal 2000 performs the step of generating the periodic asymmetry information, and the step of generating the periodic asymmetry information includes determining a walking period according to whether the pressure measurement information is equal to or greater than a preset reference. (S200); Extracting the maximum pressure for each walking period (S210); Generating interval information for a time interval between the maximum pressures for each walking period (S220); And generating the period asymmetry information based on the interval information (S230).

Specifically, in step S200, the walking period is determined according to whether the pressure measurement information over time is equal to or greater than a preset reference. Since step S200 is redundant with the description in step S100, a detailed description will be omitted.

In step S210, a step (S210) of extracting the maximum pressure for each walking cycle is performed. Since step S210 is also duplicated with the description in step S110, a detailed description will be omitted.

Thereafter, in step S220, interval information for a time interval between the maximum pressures for each walking period is generated. 8A schematically shows the pressure measurement information measured from the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200. As shown in (a) of FIG. 8, when compared with (a) of FIG. 6, it is shown that the time interval between the walking periods measured by each pressure sensor is different. For example, depending on the user's sense of balance, there is a large difference in the time it takes to take the right foot and then the left foot again and the time it takes to take the left foot again and the right foot again. The load may be relatively large or relatively small, and the time interval between walking cycles may appear in an irregular form. In order to generate periodic asymmetry information, which is a normalized index for the time interval between walking cycles, the user terminal 2000 determines the pressure of the left foot and the pressure of the right foot according to time with respect to the received pressure measurement information. The gait cycle is determined according to whether or not the set reference is higher, and the maximum pressure for each gait cycle is extracted, and interval information on the time interval between the maximum pressures for each gait cycle is derived. That is, according to the user's walking, the interval information about the time interval between the time point when the user first steps while walking and then the time point at which the same foot is taken is generated. The interval information may include first left foot interval information about a time interval between the maximum pressures for each walking period of the first left foot pressure information; And first right foot interval information for a time interval between the maximum pressures for each walking period of the first right foot pressure information. Second left foot interval information about a time interval between the maximum pressures for each walking period of the second left foot pressure information; And second right foot interval information for a time interval between the maximum pressures for each walking period of the second right foot pressure information.

Thereafter, in step S230, generating the periodic asymmetry information based on the interval information (S230). FIG. 8B shows first left foot interval information, second left foot interval information, first right foot interval information, and second right foot interval information in order from above. N means the gait cycle. As described above, in (b) of FIG. 8, each interval information is between the maximum pressure for each walking cycle, such as the time interval between the first and second walking cycles, the time interval between the second and third walking cycles. It is shown that information about the time interval of is displayed as a graph. In this way, the user terminal 2000 may derive interval information about a time interval between the maximum pressures for each walking period based on the received pressure measurement information.

9 schematically shows pressure asymmetry information and period asymmetry information derived based on pressure measurement information according to a user's walking according to an embodiment of the present invention.

The user terminal 2000 of the present invention can derive basic judgment information including the pressure asymmetry information and the periodic asymmetry information by normalizing the pressure measurement information for analyzing the user's sense of balance in a preset method. have.

Specifically, according to an embodiment of the present invention, (a) of FIG. 9 schematically shows first pressure asymmetry information, and (b) of FIG. 9 schematically shows second pressure asymmetry information. The first pressure asymmetry information is derived based on the difference between the maximum pressure for each gait cycle of the first left foot pressure information over time and the maximum pressure for each gait cycle of the first right foot pressure information and the user's weight. The second pressure asymmetry information is based on the difference in the maximum pressure for each walking period of the second left foot pressure information over time and the maximum pressure for each walking period of the second right foot pressure information and the weight of the user. Is derived. Preferably, the first pressure asymmetry information may be derived based on the following derivation equation 1, and the second pressure asymmetry information may be derived based on the following derivation equation 2.

[Draw Expression 1]

[Draw Expression 2]

n means the walking period in each pressure measurement information. The difference between the pressure in the left foot and the pressure in the right foot in the same gait cycle is derived as a graph in the form of data over time as shown in Figs. 7(a) and (b), and the basis for determining the degree of dementia do.

Since the weights of users are all different for each individual, if the measured pressure values are compared as they are, it is difficult to derive accurate information on the degree of dementia due to an error due to a simple difference in weight. Therefore, in order to generate meaningful data of the pressure difference between both feet, a normalized value can be derived through the above derivation equation.

Meanwhile, FIG. 9(c) schematically shows the first period asymmetry information, and FIG. 9(d) schematically shows the second period asymmetry information. The first period asymmetry information includes: first left foot interval information about a time interval between a point in time at which the maximum pressure for each walking period of the first left foot pressure information is measured; And first right foot interval information for a time interval between the time intervals at which the maximum pressure for each walking cycle of the first right foot pressure information is measured; derived based on the difference, and each walking period of the second left foot pressure information Second left foot interval information about a time interval between the point in time when the maximum pressure of each star is measured; And second right foot interval information for a time interval between the time intervals at which the maximum pressure for each walking cycle is measured in the second right foot pressure information. Preferably, the first left foot interval information, the second left foot interval information, the first right foot interval information, and the second right foot interval information may be derived by the following derivation equation 3, and the first period asymmetry information is: It can be derived by the derivation equation 4 of, and the second periodic asymmetry information can be derived by the derivation equation 5 below.

[Draw Expression 3]

(a)

(a)

(b)

(b)

(c)

(c)

(d)

(d)

[Draw Expression 4]

[Draw Expression 5]

n means the walking period in each pressure measurement information.

In this way, the user terminal 2000 derives the first pressure asymmetry information, the second pressure asymmetry information, the first period asymmetry information, and the second period asymmetry information and transmits it to the service server 3000, and the service The server 3000 derives the degree of dementia information based on the first pressure asymmetry information, the second pressure asymmetry information, the first period asymmetry information, and the second period asymmetry information.

10 schematically shows pressure asymmetry information and period asymmetry information derived based on pressure measurement information according to a user's walking according to another embodiment of the present invention.

In another embodiment of the present invention, information on the degree of dementia of a user may be derived based on the third pressure asymmetry information and the third period asymmetry information as shown in FIG. 10. Specifically, the third pressure asymmetry information is an average value of the maximum pressure for each walking period of the first left foot pressure information and the maximum pressure for each walking period of the second left foot pressure information, and each of the first right foot pressure information It is derived based on the difference between the average value of the maximum pressure for each walking period and the user's weight of the maximum pressure for each walking period and the second right foot pressure information. Preferably, the third pressure asymmetry information can be derived by applying Equation 6 below.

[Draw Expression 6]

The third periodic asymmetry information includes first left foot interval information and the second left foot pressure information for each walking period for a time interval between the time intervals at which the maximum pressure for each walking period of the first left foot pressure information is measured. The first right foot interval information for the average value of the second left foot interval information with respect to the time interval between the times when the maximum pressure is measured, and the time interval between the time interval when the maximum pressure for each walking cycle of the first right foot pressure information is measured, and Preferably, the third period asymmetry information derived based on the difference between the average value of the second right foot interval information with respect to the time interval between the time intervals at which the maximum pressure for each walking cycle of the second right foot pressure information is measured is: It can be derived by applying Equation 7 of.

[Draw Expression 7]

As described above, in another embodiment of the present invention, the third pressure asymmetry information according to the difference in the average value of the maximum pressure for each gait cycle in the left foot and the right foot and the average value of the time interval for each gait cycle in the left foot and the right foot By deriving the third period asymmetry information according to the difference, it is possible to derive the determination basic information in the form of data over time as shown in (b) of FIG. 7. Such basic determination information is transmitted to the service server 3000 and is the basis for determining information on the degree of dementia of the user. Such an embodiment is more preferable than an embodiment in which dementia degree information is derived based on the above-described first pressure asymmetry information, second pressure asymmetry information, first period asymmetry information, and second period asymmetry information. In this way, the user terminal 2000 can derive basic judgment information from the pressure measurement information and transmit it to the service server 3000, and the service server 3000 can use the basic judgment information as shown in FIG. 9 or 10. About the degree of dementia can be derived.

11 is a diagram of pressure measurement information and period measurement information for explaining the operation of the user terminal 2000 providing dementia risk notification information based on the user's pressure measurement information according to an embodiment of the present invention.

In one embodiment of the present invention, the left foot pressure measurement module 1100 and the right foot pressure measurement module 1200 attached to the shoe 1000 measure the pressure according to the load applied to the shoe 1000 by the user's walking. The pressure measurement information can be transmitted to the terminal 2000. The user terminal 2000 collects the pressure measurement information according to a preset period to generate pressure asymmetry information. Thereafter, when the currently collected pressure measurement information and pressure asymmetry information meets the notification criteria updated based on the collected past pressure asymmetry information, the dementia risk notification information is provided to the user.

Specifically, the user terminal 2000 collects pressure measurement information according to a preset period, and generates pressure asymmetry information based on the pressure measurement information. FIG. 11A shows pressure asymmetry information derived based on previously collected pressure measurement information, and FIG. 11B shows pressure asymmetry information derived based on current pressure measurement information. As shown in (a) of FIG. 11, it is shown that the pressure asymmetry information of the user in the past is derived from the average value of each walking cycle having a low average value in (b) of FIG. 11. Accordingly, a value corresponding to the area of the graph may be smaller in (a) of FIG. 11. As described above, when the sum of the difference between the pressure asymmetry information in the past and the pressure asymmetry information in the present exceeds a predetermined criterion for determining that the degree of dementia has progressed much, the user is provided with information about the risk of dementia. Preferably, the user terminal 2000, based on the pressure asymmetry information and the periodic asymmetry information, based on the pressure asymmetry information and the periodic asymmetry information, determination basic information including the current pressure asymmetry information and the current periodic asymmetry information is collected and generated pressure asymmetry information and Dementia risk notification information may be provided to the user when it meets the notification criteria updated based on past periodic asymmetry information. In this way, the sense of balance analysis system can exert an effect of preventing rapid progression of dementia by analyzing how far the degree of dementia has progressed by analyzing the difference between the user's past data and current data.

12 schematically shows the operation of the second degree of dementia determination module according to an embodiment of the present invention.

The service server 3000 of the present invention further includes a second degree of dementia determination module, and the user terminal 2000 collects pressure measurement information of a corresponding user according to a preset period, and the pressure asymmetry information and period asymmetry information And, the service server 3000 derives the degree of dementia progress information of the user based on the difference between the pressure asymmetry information currently collected and generated and the pressure asymmetry information collected and generated in the past, and the degree of dementia progression Based on the information, the dementia degree information is derived by the machine-learned second dementia degree determination module. The dementia degree progression information is included in the determination basic information, and the second dementia degree judgment module is in the learning data including dementia degree progression information according to the difference between past and present pressure asymmetry information and periodic asymmetry information of other users. By machine learning, it is possible to derive dementia degree information according to the dementia degree progress information included in the basic discrimination information. In this way, the degree of dementia progression information about the difference between the past and present data of the general public and patients suffering from dementia, without judging the degree of dementia by simply comparing the absolute value of the normalized information on the user's sense of balance. By determining the degree of dementia in consideration of, the effect of deriving more accurate dementia degree information can be exerted.

13 exemplarily illustrates an internal configuration of a computing device according to an embodiment of the present invention.

13, the computing device 11000 includes at least one processor 11100, a memory 11200, a peripheral interface 11300, and an input/output subsystem ( I/Osubsystem) 11400, a power circuit 11500, and a communication circuit 11600 may be included at least. In this case, the computing device 11000 may correspond to the user terminal 2000 or the service server 3000 connected to the balance sensation analysis system. The memory 11200 may include, for example, high-speed random access memory, magnetic disk, SRAM, DRAM, ROM, flash memory, or nonvolatile memory. have. The memory 11200 may include a software module, an instruction set, and other various data necessary for the operation of the computing device 11000.

In this case, accessing the memory 11200 from another component such as the processor 11100 or the peripheral device interface 11300 may be controlled by the processor 11100.

The peripheral device interface 11300 may couple input and/or output peripheral devices of the computing device 11000 to the processor 11100 and the memory 11200. The processor 11100 may execute various functions for the computing device 11000 and process data by executing a software module or instruction set stored in the memory 11200.

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

The power circuit 11500 may supply power to all or part 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 power. It may contain 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, the communication circuit 11600 may enable communication with other computing devices by transmitting and receiving an RF signal, also known as an electromagnetic signal, including an RF circuit, if necessary.

The embodiment of FIG. 13 is only an example of the computing device 11000, and the computing device 11000 omits some of the components shown in FIG. 13, further includes an additional component not shown in FIG. 13, or 2 It can 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. 13, 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 can be included in the computing device 11000 may be implemented as hardware, software, or a combination of hardware and software including one or more signal processing or application-specific integrated circuits.

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. An application to which the present invention is applied may be installed on a 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 the request of the user terminal.

The apparatus described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the devices and components described in the embodiments are, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA). , A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions, such as one or more general purpose computers or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, one of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to operate as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in a transmitted signal wave. The software may be distributed over networked computing devices and stored or executed in a distributed manner. Software and data may be stored on 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, and the like 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 usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

As described above, although the embodiments have been described by the limited embodiments and drawings, various modifications and variations are possible from the above description by those of ordinary skill in the art. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and claims and equivalents fall within the scope of the claims to be described later.

Claims (10)

As a sense of balance analysis system for diagnosis of dementia,
A left foot pressure measurement module that measures the pressure of the user's left foot;
A right foot pressure measurement module for measuring the pressure of the user's right foot;
The pressure measurement information is received from the left foot pressure measurement module and the right foot pressure measurement module, and based on the pressure measurement information, pressure asymmetry information about the difference between the pressure in the left foot and the pressure in the right foot and measured from the left foot pressure measurement module A user terminal generating period asymmetry information on a difference between a time interval of the pressure measurement information for each walking period and a time interval for each walking period of the pressure measurement information measured from the right foot pressure measurement module;
A service for deriving the dementia degree information of the user based on the determination basic information including the pressure asymmetry information and the periodic asymmetry information and the machine-learned first dementia degree determination module, and transmitting the dementia degree information to the user terminal Server; Including,
The pressure asymmetry information and the periodic asymmetry information are in data form over time,
The pressure measurement information,
First left foot pressure information at a first point of the left foot and second left foot pressure information at a second point of the left foot measured from the left foot pressure measuring module; And first right foot pressure information of a first point of the right foot measured from the right foot pressure measuring module. And second right foot pressure information at the second point;
The periodic asymmetry information,
Between the first left foot interval information and the second left foot pressure information for the time interval between the time intervals at which the maximum pressure for each walking cycle of the first left foot pressure information is measured. Each of the first right foot interval information and the second right foot pressure information for a time interval between the average value of the second left foot interval information for the time interval and the time interval at which the maximum pressure for each walking cycle of the first right foot pressure information is measured A balance sensation analysis system for diagnosing the degree of dementia, including the third period asymmetry information derived based on the difference in the average value of the second right foot interval information for the time interval between the time intervals at which the maximum pressure for each gait cycle is measured.
The method according to claim 1,
The left foot pressure measurement module,
An insole unit including an insole, a first pressure sensor disposed under the insole to measure pressure, and a second pressure sensor spaced apart from the first pressure sensor to measure pressure;
A fixing part formed to be detachable to the entrance of the shoe;
A main body module including a communication module for performing communication with a user terminal, a battery unit, and a control unit for controlling an operation of the insole unit; And
Including, a sense of balance analysis system for diagnosing the degree of dementia;
The method according to claim 1,
The pressure asymmetry information,
First pressure asymmetry information derived based on a difference between a maximum pressure for each walking period of the first left foot pressure information over time and a maximum pressure for each walking period of the first right foot pressure information and a user's body weight; And
Second pressure asymmetry information derived based on the difference in the maximum pressure for each walking period of the second left foot pressure information over time and the maximum pressure for each walking period of the second right foot pressure information and the weight of the user; Included, a sense of balance analysis system for diagnosing the degree of dementia.
The method according to claim 1,
The pressure asymmetry information,
The average value of the maximum pressure for each walking period in the first left foot pressure information and the maximum pressure for each walking period in the second left foot pressure information, and the maximum pressure for each walking period in the first right foot pressure information and the second right foot pressure A balance sensation analysis system for diagnosing the degree of dementia, including the third pressure asymmetry information derived based on the difference in the average value of the maximum pressure for each walking period of the information and the user's weight.
delete The method according to claim 1,
The periodic asymmetry information,
First left foot interval information about a time interval between the point in time when the maximum pressure for each walking period of the first left foot pressure information is measured; And first periodic asymmetry information derived based on a difference between the first right foot interval information and first right foot interval information for a time interval between the time intervals at which the maximum pressure for each walking period of the first right foot pressure information is measured. Second left foot interval information about a time interval between the point in time at which the maximum pressure for each walking period of the second left foot pressure information is measured; And second periodic asymmetry information derived based on a difference between the second right foot interval information and second right foot interval information for a time interval between the time intervals at which the maximum pressure for each walking cycle is measured in the second right foot pressure information. A sense of balance analysis system for diagnosis.
delete The method according to claim 1,
The user terminal generates the pressure asymmetry information by collecting pressure measurement information of the user according to a preset period,
When the pressure asymmetry information currently collected and generated meets the notification criteria updated based on the pressure asymmetry information collected and generated in the past, a sense of balance analysis for diagnosing the degree of dementia by providing the user with dementia risk notification information system.
The method according to claim 1,
The user terminal generates the pressure asymmetry information by collecting pressure measurement information of the user according to a preset period,
The service server,
Based on the difference between the pressure asymmetry information collected and generated in the present and the pressure asymmetry information collected and generated in the past, the user's degree of dementia progression information is derived, and the machine-learned second degree of dementia determination based on the degree of dementia progression information A sense of balance analysis system for diagnosing the degree of dementia that derives the degree of dementia information by a module.
As a balance sensation analysis method for diagnosing the degree of dementia performed in a computing system including at least one memory and at least one processor,
The computing system includes a user terminal, a service server, a left foot pressure measurement module, and a right foot pressure measurement module,
A left foot pressure measuring step of measuring the pressure of the user's left foot by the left foot pressure measuring module;
A right foot pressure measuring step of measuring the pressure of the user's right foot by the right foot pressure measuring module;
By the user terminal, the pressure measurement information measured from the left foot pressure measurement step and the right foot pressure measurement step is received, and pressure asymmetry information for the difference between the maximum pressure in the left foot and the pressure in the right foot based on the pressure measurement information And generating period asymmetry information on a difference between a time interval for each gait period of the pressure measurement information measured from the left foot pressure measurement module and a time interval for each gait period of the pressure measurement information measured from the right foot pressure measurement module. And
By the service server, based on the determination basic information including the pressure asymmetry information and the periodic asymmetry information and the machine-learned first dementia information determination module, the user's dementia degree information is derived, and the dementia degree information Including; transmitting to the user terminal;
The pressure asymmetry information and the periodic asymmetry information are in data form over time,
The pressure measurement information,
First left foot pressure information at a first point of the left foot and second left foot pressure information at a second point of the left foot measured from the left foot pressure measuring module; And first right foot pressure information of a first point of the right foot measured from the right foot pressure measuring module. And second right foot pressure information at the second point;
The periodic asymmetry information,
Between the first left foot interval information and the second left foot pressure information for the time interval between the time intervals at which the maximum pressure for each walking cycle of the first left foot pressure information is measured. Each of the first right foot interval information and the second right foot pressure information for a time interval between the average value of the second left foot interval information for the time interval and the time interval at which the maximum pressure for each walking cycle of the first right foot pressure information is measured A balance sensation analysis method for diagnosing the degree of dementia, including the third period asymmetry information derived based on the difference in the average value of the second right foot interval information with respect to the time interval between the time intervals at which the maximum pressure for each gait cycle is measured.

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