KR102260348B1 - Method and Apparatus for measuring aging parameter based on gait speed - Google Patents

Abstract

A memory in which at least one program is stored, at least one communication interface for transmitting and receiving data with a walking speed meter and a server, and a processor for providing a degree of senility of a subject diagnosed with senility by executing the at least one program, wherein the at least One program, through the at least one communication interface, the steps of obtaining the movement information of the senility diagnosis subject from the walking speed meter, determining the gait speed of the senility diagnosis subject from the movement information of the senility diagnosis subject, And there is provided a mobile terminal characterized in that it comprises a command for performing the step of obtaining the degree of frailty of the subject diagnosed with frailty based on the walking speed of the subject diagnosed with frailty.

Description

{Method and Apparatus for measuring aging parameter based on gait speed}

The present invention relates to a mobile terminal for determining the degree of senility of a subject diagnosed with frailty, and more particularly, to a mobile terminal for determining the degree of senility based on a walking speed of a subject diagnosed with frailty.

With the aging of the population, the number of elderly patients undergoing surgical procedures of various severity ranging from medical treatment with possible complications such as chemotherapy and minor outpatient surgery to major surgery requiring intensive post-operative treatment is increasing. In these various medical treatments, it is important to evaluate the physiological function of a patient in order to prevent complications and prevent unnecessary treatment. However, according to the results of previous studies, chronological age as a number is the physiological residual capacity of an individual patient. It is known that the physical reserve is poorly predicted. On the other hand, to evaluate the state of 'frailty', which is defined as physiological homeostasis that is lowered by aging, compared to age as a number or classical risk assessment tools, complications following medical and surgical treatment, future functional decline, It is known that mortality and the like can be better predicted.

The classic method of assessing frailty is the comprehensive geriatric assessment (CGA), which is typically an individual's comorbidities, medication status, activity of daily livings (ADL), and instrumental daily living performance (CGA). Instrumental activity of daily livings (IADL), cognitive function, depression, social support, and physical function are evaluated in detail. However, this comprehensive evaluation for the elderly requires professionally trained personnel and requires a lot of time for evaluation, so it is difficult to implement it widely except for specialized geriatric medical centers. Accordingly, there is a continuous increase in demand for a method capable of quickly and objectively screening for frailty during busy outpatient treatment in various specialized areas for treating the elderly.

In the present specification, a mobile terminal for determining the degree of frailty based on the walking speed of a subject diagnosed with frailty is provided. And a server for determining the degree of senility based on the walking speed of the senility diagnosis subject is provided.

A memory in which at least one program is stored, at least one communication interface for transmitting and receiving data with a walking speed meter and a server, and a processor for providing a degree of senility of a subject diagnosed with senility by executing the at least one program, wherein the at least One program, through the at least one communication interface, the steps of obtaining the movement information of the senility diagnosis subject from the walking speed meter, determining the gait speed of the senility diagnosis subject from the movement information of the senility diagnosis subject, And there is provided a mobile terminal characterized in that it comprises a command for performing the step of obtaining the degree of frailty of the subject diagnosed with frailty based on the walking speed of the subject diagnosed with frailty.

A memory in which at least one program is stored, at least one communication interface for transmitting and receiving data to and from the server, a walking speed meter for obtaining motion information of a subject diagnosed with senility, and a degree of senility of a subject diagnosed with senility by executing the at least one program Comprising a processor for providing, the at least one program, obtaining motion information of the subject diagnosed with senility from the walking speed meter, determining the walking speed of the subject diagnosed with senility from the motion information of the subject diagnosed with senility; And there is provided a mobile terminal characterized in that it comprises a command for performing the step of obtaining the degree of frailty of the subject diagnosed with frailty based on the walking speed of the subject diagnosed with frailty.

Acquiring, by a communication interface, movement information of a subject diagnosed with senility from a walking speed meter, by a processor, determining the gait speed of a subject diagnosed with senility from motion information of a subject diagnosed with senility, and by the processor, There is provided a computer program product for performing the step of obtaining the degree of frailty of the subject diagnosed with frailty based on the walking speed of the subject diagnosed with frailty.

A memory for storing the elderly comprehensive evaluation data set and at least one program, at least one communication interface for transmitting and receiving data to and from a mobile terminal, and a processor for providing the degree of frailty of a subject diagnosed with senility by executing the at least one program, The elderly comprehensive evaluation data set includes data on the correlation between walking speed and the degree of senility, and the at least one program, through the at least one communication interface, receives the walking speed of a subject diagnosed with senility from the mobile terminal Step, by the processor, based on the data regarding the relationship between the walking speed and the degree of senility, determining the degree of senility of the subject diagnosed with senility from the gait speed of the subject diagnosed with senility, and the at least one communication interface Through, there is provided a server comprising a command for performing the step of transmitting the degree of senility of the subject diagnosed with senility to the mobile terminal is provided.

A mobile terminal comprising a memory in which at least one program is stored, at least one communication interface for transmitting and receiving data with a walking speed meter and a server, and a processor for providing a degree of frailty of a subject diagnosed with senility by executing the at least one program, and a walking speed meter for obtaining motion information of the subject diagnosed with frailty, wherein the at least one program includes: obtaining motion information of the subject diagnosed with senility from the walking speed meter; from the motion information of the subject diagnosed with senility There is provided a senility diagnosis system comprising instructions for determining the gait speed of the senility diagnosis subject, and obtaining the senility degree of the senility diagnosis subject based on the senility diagnosis subject's gait speed.

1 illustrates an embodiment of a mobile terminal, a walking speed meter, and a server for determining the degree of senility based on the walking speed of a subject diagnosed with frailty.
2 illustrates an embodiment of a method for determining the degree of frailty based on the walking speed of a subject diagnosed with frailty, which is performed by a mobile terminal, a walking speed meter, and a server.
3 illustrates an embodiment of a menu selection screen shown on a display in a program executed in a mobile terminal.
4 illustrates an embodiment of a walking speed measurement item displayed on a display in a program executed in a mobile terminal.
5A and 5B show an embodiment of a first data management item and a second data management item displayed on a display in a program executed in a mobile terminal, respectively.
6 illustrates an embodiment of a distance measurement item displayed on a display in a program executed in a mobile terminal.
7 shows an embodiment of a setting item displayed on a display in a program executed in a mobile terminal.
8A and 8B are two-dimensional graphs showing the relationship between actual age and walking speed, walking speed and senility, respectively.
9 shows a graph of survival probability of a specific walking speed group by Kaplan-Meier analysis.
10 shows the distribution of walking speed according to gender in the elderly living in the Korean community.
11 shows a graph for predicting the degree of senility by using walking speed and other measurement values together.
In the following description, the same reference numerals are used for the same elements, and overlapping descriptions are omitted unless described in other drawings.

Advantages and features of the disclosed embodiments, and methods of achieving them, will become apparent with reference to the embodiments described below in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the art to which the present invention pertains It is only provided to fully inform those who have the scope of the invention.

Terms used in this specification will be briefly described, and the disclosed embodiments will be described in detail.

In the present specification, the degree of senility (senescence index, frailty index) refers to an index indicating the state of frailty of the elderly. The degree of senility refers to the ratio of an individual's senescence-related symptoms divided by the total number of senescence-related symptoms. Therefore, when there are no symptoms related to senescence, the degree of senility is 0, and, conversely, when all symptoms related to senescence appear, the degree of senility is 1. That is, a high degree of senility indicates that the elderly are in a serious state of frailty. The number and type of symptoms used to measure the degree of senility may be controlled by the measurer.

As used herein, a cohort refers to a group that shares a specific statistical factor. Using a cohort study, by comparing a group exposed to a specific factor with a group not exposed to it, it is possible to track the incidence rate of a disease to be studied according to a specific factor. For example, cohort studies can be used to track the survival rate of groups classified according to walking speed or the degree of senility.

1 illustrates an embodiment of a mobile terminal 100, a walking speed meter 110, and a server 122 that determine the degree of senility based on the walking speed of a person diagnosed with frailty 130. Referring to FIG.

The mobile terminal 100 may include a display 102 , a memory 104 , a processor 106 , and a communication interface 108 . According to an embodiment, the mobile terminal 100 may additionally include a configuration necessary for diagnosing the degree of frailty.

The mobile terminal 100 may include a display 102 for displaying data related to gait speed measurement and senescence information determination. For example, the display 102 may display values measured or calculated by the apparatus 100 for diagnosing the degree of senility, such as walking speed, degree of senility, and the like.

Also, the display 102 may include a function of a touch screen for receiving a user's instruction. Accordingly, the user may receive information through the display 102 and input a user's instruction to be performed by the mobile terminal 100 . For example, the mobile terminal 100 may receive, from the display 102 , personal information of the senescence diagnosis target 130 , such as identification information, age, gender, residential area, race, and the like, from the user. Alternatively, the mobile terminal 100 may receive setting information for measuring the walking speed of the walking speed meter 110 from the display 102 .

Mobile terminal 100 may include other input interfaces in addition to display 102 . Accordingly, the mobile terminal 100 may receive information for diagnosing senility from an input interface other than the display 102 .

The mobile terminal 100 may include a memory 104 in which a program for driving the mobile terminal 100 is stored. The memory 104 may store at least one program for performing diagnosis and determination of the degree of senility. In addition, the memory 104 may store information obtained from the communication interface 108 or information processed by the processor 106 . In addition, the memory 104 is configured to determine the degree of senility by combining the information on the walking speed parameter, the information on the correlation between the walking speed and the degree of senescence, and the walking speed and other measurement values necessary for the information processing of the processor 106 . information can be stored for

The mobile terminal 100 may include a processor 106 . The processor 106 may execute an instruction of at least one program for diagnosing and determining the degree of senility stored in the memory 104 . Hereinafter, the function of the processor 106 in accordance with the program to perform the diagnosis and determination of the degree of senility is described.

The processor 106 may calculate the walking speed of the senility diagnosis subject 130 from the motion information of the senility diagnosis subject 130 . In addition, the processor 106 may calculate the walking speed of the senility diagnosis subject 130 based on at least one of the set setting values. For example, the setting information includes at least one of a measurement direction, a measurement range, and an effective measurement range.

The measurement direction indicates the movement direction of the senility diagnosis subject to be recognized by the walking speed meter 110 . The measurement direction may include a forward direction, a backward direction, a left direction, a right direction, etc. with respect to the walking speed meter 110 . The walking speed measuring device 110 may record the movement of the senility diagnosis subject 130 when the senility diagnosis subject 130 moves in a set measurement direction.

The measurement range indicates the range of the distance between the walking speed meter 110 and the senility diagnosis subject 130 in which the motion of the senility diagnosis subject can be measured. When it is detected that the senility diagnosis subject 130 is within the measurement range, the walking speed meter 110 may generate motion information of the senility diagnosis subject 130 . A user may input a measurement range into the mobile terminal 100 . Alternatively, the measurement range may be automatically changed according to the measurement environment of the walking speed meter 110 .

The effective measurement range indicates the range of the distance between the walking speed meter 110 and the aging diagnosis subject 130 required for the determination of the walking speed. Even when the senility diagnosis subject 130 walks within the measurement range, if the gait is not completed within the effective measurement range, the processor 106 does not calculate the gait speed of the senility diagnosis subject 130 . Similar to the measurement range, the user may input an effective measurement range into the mobile terminal 100 . Alternatively, the effective measurement range may be automatically changed according to the measurement environment of the walking speed meter 110 .

The processor 106 may determine the degree of senility of the senility diagnosis subject 130 based on the walking speed of the senility diagnosis subject 130 . Walking speed is an index mainly used in judging the degree of senility. Accordingly, the processor 106 may calculate the physiological age of the senility diagnosis subject 130 according to the walking speed according to the correlation between the walking speed and the degree of senility.

The processor 106 may determine a walking speed parameter indicative of a walking speed. The walking speed parameter represents the walking speed of a specific section. For example, the walking speed parameter may be defined for each section having a size of 0.2 m/s. As a specific example, the walking speed parameter may be defined as 1 for a section of 0.4 to 0.6 m/s, and may be defined as 2 for a section of 0.6 to 0.8 m/s. In addition, a unique walking speed parameter may be defined for the remaining 0.2 m/s sections. The above example is merely exemplary, and a person skilled in the art can easily change the value of the walking speed parameter and the corresponding section.

The processor 106 may determine the degree of senility from the walking speed by the correlation between the walking speed and the degree of senility, which indicates the relationship between the walking speed and the degree of senility. When the walking speed is expressed as a walking speed parameter, the processor 106 may determine the degree of senility from the walking speed parameter according to a correlation between the walking speed and the degree of senility. The correlation between the walking speed and the degree of senility may be determined by regression analysis of statistical data on the walking speed and the degree of senility or by machine learning. The correlation between walking speed and the degree of senility will be specifically described in the explanation part with respect to FIGS. 8A and 8B.

Additionally, the processor 106 may calculate the gait acceleration of the senility diagnosis subject 130 from motion information of the senility diagnosis subject. In addition, the processor 106 may obtain the degree of senility of the senility diagnosis subject 130 by analyzing the gait speed and the gait acceleration of the senility diagnosis subject 130 .

The processor 106 derives the health status of the senility diagnosis subject 130 based on personal information such as physiological age according to the degree of senility, identification information of the senility diagnosis subject 130, actual age, gender, residential area, race, etc. can do. The processor 106 may calculate information such as postoperative mortality and complication rate according to information such as the degree of senility. Accordingly, the processor 106 may help the user of the device 100 for diagnosing the degree of senility for a treatment method of the senility diagnosis target 130 .

The processor 106 may use walking speed as well as other measurements to determine the degree of senility. In order to measure the degree of senility, factors other than walking speed may additionally be used. For example, data obtained through muscle strength evaluation, muscle mass evaluation, balance sensor evaluation, and the like may be additionally considered. In order to acquire the additional data, separate measuring devices may be installed separately from the walking speed measuring device 110 . For example, a muscle strength meter may be installed to evaluate muscle strength, a muscle mass meter to evaluate muscle mass, and a balance sensor to evaluate balance.

The processor 106 may perform the calculation based on statistical data. For example, the aforementioned statistical data on the correlation between walking speed and the degree of senility, walking speed, and statistical data according to the actual age and gender of the senility diagnosis subject 130 may be used. Statistical data may also be used on other factors that are associated with the degree of senility. The processor 106 may periodically update the statistical data and store it in the memory 104 of the mobile terminal 100 or the memory 124 of the server 122 .

The processor 106 may obtain the degree of frailty of the subject 130 diagnosed with frailty calculated by the server 122 through the communication interface 108 without calculating the degree of senility of the subject 130 diagnosed with senility. When the degree of senility of the senescence diagnosis target 130 is determined in the server 122 stored in the memory 104, the size of data and programs required for determining the degree of senility is reduced, and the leakage of data required for determining the degree of senility is reduced. may be limited.

The processor 106 may obtain identification information of the user. And when the user's identification information is valid, the processor 106 may perform a function for determining the degree of senility. The processor 106 may transmit the user's identification information to the server 122 via the communication interface 108 to determine whether the user's identification information is valid. And when it is determined by the server 122 that the user's identification information is valid, the processor 106 may allow the user's access to a function for determining the degree of senility. In addition, the processor 106 may store information related to the senility diagnosis subject 130 in the user's e-mail account.

The mobile terminal 100 may include an additional processor in addition to the processor 106 . In addition, the mobile terminal 100 may use a processor external to the mobile terminal 100 to perform a command for determining the degree of senility.

The mobile terminal 100 may include a communication interface 108 for receiving and transmitting data with the walking speed meter 110 and the server 122 . The communication interface 108 may be implemented according to a communication standard such as mobile communication, Bluetooth, Wi-Fi, infrared data association standard (IrDA), WiMAX, or the like.

The mobile terminal 100 may transmit the setting information to the walking speed meter 110 through the communication interface 108 . In addition, the mobile terminal 100 may acquire movement information of the senility diagnosis subject 130 from the walking speed meter 110 through the communication interface 108 .

In addition, the mobile terminal 100 may transmit movement information and personal information of the senility diagnosis target 130 to the server 122 through the communication interface 108 . In addition, the mobile terminal 100 may obtain the degree of senility of the subject 130 diagnosed with senility and medical information based on the degree of frailty from the server 122 through the communication interface 108 . Also, according to an embodiment, the mobile terminal 100 may obtain the senility degree database indicating the relationship between the degree of senility and the walking speed from the server 122 through the communication interface 108 .

The walking speed meter 110 may include a display 112 , a memory 114 , a sensor 116 , a processor 118 , and a communication interface 120 . According to an embodiment, the walking speed measuring device 110 may include a configuration for additionally acquiring information necessary for measuring walking speed and determining the degree of senility.

The display 112 of the walking speed meter 110 may display data generated by the walking speed meter 110 and data transmitted from the mobile terminal 100 . Also, the display 112 may include a function of a touch screen for receiving a user's instruction.

In addition, the memory 114 of the walking speed meter 110 may store data generated by the walking speed meter 110 , data transmitted from the mobile terminal 100 , and a program necessary for driving the walking speed meter 110 .

The sensor 116 of the walking speed meter 110 detects the movement of the senility diagnosis target 130 . The sensor 116 may emit a laser, infrared or ultrasonic wave and recognize a reflected laser, infrared or ultrasonic wave. In addition, the sensor 116 may detect the movement of the senility diagnosis target 130 based on the recognized laser, infrared, or ultrasound signal.

The processor 118 of the walking speed meter 110 may execute a command required for measuring the walking speed of the walking speed meter 110 . The walking speed meter 110 may include one or more processors.

The walking speed meter 110 may be physically or communicatively connected to the mobile terminal 100 through the communication interface 120 . The communication interface 120 of the walking speed meter 110 may be connected to the communication interface 108 of the mobile terminal 100 so that data of the walking speed meter 110 may be transmitted to the mobile terminal 100 . Conversely, data of the mobile terminal 100 may be transmitted to the walking speed meter 110 .

When the movement of the senility diagnosis target 130 is sensed, the walking speed meter 110 may transmit a detection time to the mobile terminal 100 . In addition, the walking speed measuring device 110 may transmit the distance between the senility diagnosis target 130 and the walking speed measuring device 110 to the mobile terminal 100 .

The walking speed meter 110 may obtain setting information from the mobile terminal 100 . In addition, the walking speed meter 110 may acquire motion information of the senility diagnosis subject 130 according to the setting information.

The walking speed measuring device 110 may transmit identification information of the walking speed measuring device 110 to the mobile terminal 100 . In addition, the mobile terminal 100 may determine whether the identification information of the walking speed meter 110 is valid. And when the identification information is valid, the mobile terminal 100 may be set to process the data transmitted from the walking speed meter 110 . The mobile terminal 100 records the identification information of the walking speed meter 110 together with the movement information of the senility diagnosis subject 130 in order to record whether the movement of the senility diagnosis subject 130 is measured by which walking speed meter. can

The walking speed meter 110 may transmit movement information of the senility diagnosis target 130 to the mobile terminal 100 . Specifically, the walking speed meter 110 may derive motion information such as speed and acceleration of the senility diagnosis subject 130 from the movement of the senility diagnosis subject 130 , and transmit the motion information to the mobile terminal 100 . .

According to an embodiment, the walking speed measuring device 110 may calculate the walking speed or gait acceleration of the frailty diagnosis subject 130 based on the movement of the frailty diagnosis subject 130 . In addition, the walking speed measuring device 110 may transmit the walking speed or the walking acceleration of the senility diagnosis target 130 to the mobile terminal 100 .

Referring to FIG. 1 , the walking speed meter 110 may be physically separated from the mobile terminal 100 . However, the walking speed meter 110 may be physically connected to the mobile terminal 100 .

Alternatively, the walking speed meter 110 may be built in the mobile terminal 100 . Accordingly, the mobile terminal 100 may obtain the movement information of the senility diagnosis target 130 from the walking speed meter 110 built in the mobile terminal 100 without going through the communication interface 108 .

The server 122 may include a memory 124 , a processor 126 , and a communication interface 128 . According to an embodiment, the server 122 may additionally include a configuration necessary for diagnosing the degree of senility.

The server 122 may include a memory 124 that stores a program necessary for driving the server 122 . The memory 124 may store the elderly comprehensive evaluation data set including statistical data for determining the degree of frailty and at least one program for performing diagnosis and determination of the degree of frailty. Also, the memory 1220 may store movement information, a degree of senility, personal information, and health information for the senility diagnosis target 130 .

The server 122 may include a processor 126 . The processor 126 may execute an instruction of at least one program for diagnosing and determining the degree of senility stored in the memory 124 . Hereinafter, the function of the processor 126 in accordance with the program to perform the diagnosis and determination of the degree of senility is described.

The processor 126 may determine the degree of frailty of the senility diagnosis subject 130 from the walking speed of the senility diagnosis subject 130 received from the mobile terminal 100 through the communication interface 128 . In addition, the processor 126 may transmit the degree of frailty of the senility diagnosis target 130 to the mobile terminal 100 through the communication interface 128 .

The processor 126 may generate medical information regarding the health condition of the frailty diagnosis subject 130 based on the human information and the senility degree of the frailty diagnosis subject 130 . In addition, the processor 126 may determine the degree of senility of the senility diagnosis subject 130 by additionally considering the gait acceleration of the senility diagnosis subject 130 .

The processor 126 may determine the degree of frailty of the senility diagnosis subject 130 from the walking speed of the senility diagnosis subject 130 according to the elderly comprehensive evaluation data set stored in the memory 124 . In more detail, the processor 126 may determine the degree of frailty of the subject 130 for diagnosis of frailty by using the correlation between the speed of the elderly comprehensive evaluation data set and the degree of frailty. In addition, the processor 126 may determine the degree of senility of the senility diagnosis subject 130 according to the gait speed parameter indicating the gait speed.

The processor 126 may determine the degree of frailty of the senility diagnosis target 130 according to the identification information of the walking speed meter 110 . Specifically, only when the identification information of the walking speed meter 110 is valid, the processor 126 may determine the degree of frailty of the aging diagnosis subject 130 . In addition, the processor 126 records the identification information of the walking speed meter 110 together with the movement information of the senility diagnosis subject 130 in order to record whether the movement of the senility diagnosis subject 130 is measured by any walking speed meter. can

The processor 126 may update the geriatric comprehensive assessment data set stored in the memory 124 . Accordingly, the processor 126 may determine the degree of frailty of the subject 130 diagnosed with frailty based on the updated and updated comprehensive geriatric assessment data set.

The server 122 may include a communication interface 128 for receiving and transmitting data with the mobile terminal 100 . The communication interface 128 may be implemented according to a communication standard such as mobile communication, Bluetooth, Wi-Fi, infrared data association standard (IrDA), WiMAX, or the like.

The server 122 may receive the walking speed and the human information of the senility diagnosis target 130 from the mobile terminal 100 through the communication interface 128 . In addition, the server 122 may transmit to the mobile terminal 100 through the communication interface 128 , the degree of senility and the medical information based on the degree of senility of the subject 130 diagnosed with senility. In addition, the server 122 may transmit the elderly comprehensive evaluation data set to the mobile terminal 100 through the communication interface 128 .

The server 122 may include an additional processor in addition to the processor 126 . In addition, the server 122 may use a processor external to the server 122 to perform a command for determining the degree of senility.

2 is an embodiment of a method 20 for determining the degree of senility based on the walking speed of the senility diagnosis subject 130 performed by the mobile terminal 100, the walking speed meter 110 and the server 122. show

In step S21 , identification information of the walking speed meter is transmitted from the walking speed meter 110 to the mobile terminal 100 .

In step S22, it is determined by the mobile terminal 100 whether the identification information of the walking speed meter is valid. If the identification information of the walking speed meter is valid, the mobile terminal 100 and the walking speed meter 110 are communicatively connected.

In step S23 , setting information related to motion detection of the senility diagnosis target 130 is transmitted from the mobile terminal 100 to the walking speed meter 110 .

In step S24, the walking speed meter 110 detects the movement of the senility diagnosis target 130 according to the transmitted setting information. The setting information may include a measurement direction, a measurement range, and an effective measurement range.

In step S25 , the movement information of the senility diagnosis subject 130 is transmitted from the walking speed meter 110 to the mobile terminal 100 .

In step S26, the walking speed of the senility diagnosis subject 130 is calculated from the movement information of the senility diagnosis subject 130 by the mobile terminal 100. Additionally, the gait acceleration of the senility diagnosis target 130 may be calculated by the mobile terminal 100 . In addition, the personal information of the senility diagnosis target 130 may be input by the mobile terminal 100 .

In step S27 , the walking speed and personal information of the senility diagnosis subject 130 are transmitted from the mobile terminal 100 to the server 122 . Additionally, information necessary for calculating the degree of senility, such as walking acceleration, may be transmitted from the mobile terminal 100 to the server 122 .

In step S28 , the degree of senility of the senility diagnosis subject 130 is calculated from the walking speed and the human information of the senility diagnosis subject 130 by the server 122 .

In step S29, the degree of frailty of the senility diagnosis subject 130 is transmitted from the server 122 to the mobile terminal 100.

In step S30 , the degree of frailty of the senility diagnosis target 130 is displayed on the display 102 of the mobile terminal 100 .

The method 20 for determining the degree of senility of FIG. 2 may be modified according to functions performed by the mobile terminal 100 , the walking speed meter 110 , and the server 122 of FIG. 1 . For example, when the walking speed meter 110 is included in the mobile terminal 100 , S21 to S23 and S25 may be excluded from the method 20 for determining the degree of senility. As another example, when the degree of senility of the senescence diagnosis target 130 is calculated in the mobile terminal 100 , S27 to S29 may be excluded from the method 20 for determining the degree of senility.

FIG. 3 shows an embodiment of a menu selection screen 300 shown on the display 102 in a program executed in the mobile terminal 100 .

The menu selection screen 300 is displayed on the left side of the display 102 . However, according to an embodiment, the menu selection screen 300 may be displayed on another part of the display 102 . The menu selection screen 300 is a walking speed measurement (Gaitspeedometer) item 310 . A data manager item 320 , a distance measurement mode item 330 , and a setting item 340 may be included. The menu selection screen 300 may include items other than the above items or may exclude some of the items. Each item will be described with reference to FIGS. 4 to 7 . Also, the menu selection screen 300 may display user identification information 350 .

4 shows an embodiment of a walking speed measurement item 400 shown on the display 102 in a program executed in the mobile terminal 100 .

The current walking speed meter 402 indicating the current speed of the aging diagnosis subject 130 is displayed in the walking speed measurement item 400 . Also, the walking speed measurement item 400 may include a walking speed meter connection light 404 indicating whether the mobile terminal 100 and the walking speed meter 110 are connected, and a walking speed meter connection button 406 . The user may click the walking speed meter connection button 406 to connect or disconnect the mobile terminal 100 and the walking speed meter 110 . The walking speed measurement item 400 may include a walking speed measurement situation light 408 . When the walking speed measuring device 110 records the movement of the senility diagnosis subject 130 , the walking speed measuring situation light 408 may be activated. And, when the walking speed measuring device 110 completes the motion recording of the senility diagnosis subject 130 , the walking speed measuring situation light 408 may be deactivated. The walking speed measurement item 400 may include a walking speed meter battery indicator 410 indicating the amount of power of the battery of the walking speed meter.

When the walking speed meter 110 measures the distance between the senility diagnosis subject 130 and the walking speed meter 110, the distance record table 414, the speed record table 416, and the acceleration record table 418 of the walking speed measurement item 400 ), a distance-time graph, a speed-time graph, and an acceleration-time graph are recorded based on the results measured by the walking speed meter 110 , respectively. When the measurement of the walking speed meter 110 is completed, the average speed 412 may be displayed in the walking speed measurement item 400 .

The walking speed measurement item 400 may include a personal information table 420 . In FIG. 4 , only the name, patient number (identification number), age, and gender of the senility diagnosis subject 130 are included in the personal information table 420 , but medical information regarding the senility diagnosis subject 130 may be additionally included. .

The walking speed measurement item 400 may include an auto-save option 422 , an auto-start option 424 , and a sensor option 426 . When the automatic storage option 422 is activated, when the generation of the motion information of the senility diagnosis target 130 is completed, the motion information of the senility diagnosis target 130 is transferred to the mobile terminal 100, the server 122, or the user's email automatically saved to your account. When the automatic start option 424 is activated, when the senility diagnosis subject 130 is detected within the measurement range of the walking speed meter 110 , the mobile terminal 100 automatically follows the movement of the senility diagnosis subject 130 . The motion information of the senility diagnosis target 130 is generated. When the sensor option 426 is activated, the walking speed meter 110 may detect a movement of an object in front of the walking speed meter 110 .

The walking speed measurement item 400 may include a setting initialization button 428 , a start button 430 , and a save button 432 . When the setting initialization button 428 is clicked, all of the existing setting information is initialized. When the automatic start option 424 is deactivated, when the start button 430 is clicked, the mobile terminal 100 generates movement information of the senility diagnosis subject 130 according to the movement of the senility diagnosis subject 130 . When the automatic storage option 422 is deactivated, when the save button 432 is clicked, the movement information of the senility diagnosis target 130 is stored in the mobile terminal 100 , the server 122 , or the user's email account.

Unlike FIG. 4 , a new element may be added to the walking speed measurement item 400 or the element illustrated in FIG. 4 may be excluded according to an embodiment.

5A and 5B show an embodiment of a first data management item 500 and a second data management item 520 shown on the display 102 in a program executed in the mobile terminal 100, respectively.

The first data management item 500 may include a data table 502 . Data table 502 lists senescence diagnostic data sets stored in mobile terminal 100 or server 122 . The senility diagnosis data set includes human information including the name and gender of the senility diagnosis subject 130 and movement information including walking speed. The first data management item 500 may include a number of items per page 504 . The data table 502 lists the senescence diagnostic data sets of items per page 504 .

The first data management item 500 may include an extract button 506 and a delete button 508 . When the extraction button 506 is clicked while the selection item 514 of the senescence diagnosis data set is checked, the senescence diagnosis data set is transmitted from the mobile terminal 100 or the server 122 to an external device. When the delete button 508 is clicked while the selection item 514 of the senescence diagnosis data set is checked, the senescence diagnosis data set is deleted from the mobile terminal 100 or the server 122 .

The first data management item 500 may include a previous button 510 and a next button 512 . When the previous button 510 is clicked, the data table 502 displays the senescence diagnosis data set of the previous page, and when the next button 512 is clicked, the data table 502 displays the senescence diagnosis data set of the next page do.

The user may click a specific senescence diagnosis data set 516 in the first data management item 500 to view detailed information of the senescence diagnosis data set. The second data management item 520 displays detailed information of the frailty diagnosis data set 516 .

The second data management item 520 may include a previous button 522 , a list button 524 , a next button 526 , a save button 528 , and a delete button 530 . When the previous button 522 is clicked, the data of the previous senescence diagnosis data set is displayed in the data area 532 , and when the next button 526 is clicked, the data of the next senescence diagnosis data set is displayed in the data area 532 . do. When the list button 524 is clicked, the first data management item 500 is displayed on the display 102 . When the save button 528 is clicked, the senescence diagnostic data set modified by the user is saved. And when the delete button 530 is clicked, the current senescence diagnosis data set is deleted from the mobile terminal 100 or the server 122 .

The second data management item 520 includes a data area 532 representing data of the senescence diagnostic data set. The data area 532 may include a data identification information area 534 , a data personal information area 536 , and a data movement information area 538 . In the data identification information area 534 , an identification number and generation time of data may be displayed. In the data personal information area 536 , the personal information of the senility diagnosis target 130 is displayed. Data in the data personal information area 536 may be modified by the user. In the data movement information area 538 , movement information of the senility diagnosis target 130 is displayed. If the user clicks on a specific graph in the data motion information area 538 , the graph may be enlarged and displayed on the display 102 .

Unlike FIGS. 5A and 5B , a new element may be added to the first data management item 500 and the second data management item 520 , or the elements illustrated in FIGS. 5A and 5B may be excluded according to an embodiment.

6 shows an embodiment of a distance measurement item 600 shown on the display 102 in a program executed in the mobile terminal 100 . The distance measurement item 600 provides an interface for determining a measurement range and an effective measurement range based on the distance between the walking speed meter 110 and the object.

The distance measurement item 600 may include a measurement range setting item 602 , a valid measurement range setting item 604 , and a current distance item 606 . The measurement range setting item 602 indicates the maximum and minimum values of the current measurement range. In addition, the effective measurement range setting item 604 indicates the maximum and minimum values of the current effective measurement range. The current distance 606 indicates a distance between the walking speed meter 110 and the object.

The distance measurement item 600 may include a maximum value setting button 608 and a minimum value setting button 610 . When the maximum value setting button 608 is clicked, the value displayed in the current distance 606 is determined as the maximum value of the measurement range. When the minimum value setting button 610 is clicked, the value displayed on the current distance 606 is determined as the minimum value of the measurement range. And when the maximum value setting button 608 is clicked, a value smaller than the value displayed in the current distance 606 may be determined as the maximum value of the effective measurement range. For example, a value 0.5 m smaller than the value indicated in the current distance 606 may be determined as the maximum value of the effective measurement range. When the minimum value setting button 610 is clicked, a value greater than the value displayed in the current distance 606 may be determined as the minimum value of the effective measurement range. For example, a value 0.5 m greater than the value displayed in the current distance 606 may be determined as the minimum value of the effective measurement range.

Unlike FIG. 6 , a new element may be added to the distance measurement item 600 or an element illustrated in FIG. 6 may be excluded according to an embodiment.

7 shows an embodiment of a setting item 700 shown on the display 102 in a program executed in the mobile terminal 100 . The setting item 700 provides an interface for determining setting information of the walking speed meter 110 .

The setting item 700 may include a connection item 702 . When the connect button 702 is clicked, the mobile terminal 100 and the walking speed meter 110 may be connected. If the connection button 702 is clicked while the mobile terminal 100 and the walking speed meter 110 are connected, the connection between the mobile terminal 100 and the walking speed meter 110 may be released.

The setting item 700 includes a measurement direction item 704 , a measurement range maximum value item 706 , a measurement range minimum value item 708 , an effective measurement range maximum value item 710 , and an effective measurement range minimum value item 712 . can do. The measurement direction item 704 may be determined as a forward direction or a backward direction. When the measurement direction item 704 indicates the forward direction, when the senility diagnosis subject 130 advances to the walking speed measuring device 110 , the walking speed measuring device 110 measures the movement of the senility diagnosis subject 130 . Conversely, when the measurement direction 704 indicates the backward direction, when the senility diagnosis subject 130 moves backward from the gait speed meter 110 , the walking speed measurer 110 measures the movement of the senility diagnosis subject 130 .

Measurement range maximum value, measurement range minimum value, measurement range minimum value, measurement range maximum value, measurement range minimum value, and values input to the measurement range maximum value item 706, measurement range minimum value item 708, effective measurement range maximum value item 710, and effective measurement range minimum value item 712 A maximum effective measurement range and a minimum effective measurement range may be determined. In addition, the maximum measurement range, the minimum measurement range, the maximum effective measurement range, and the minimum effective measurement range may be determined according to the interface provided by the distance measurement item 600 .

The setting item 700 may include a delete all data item 714 and a number of items per page setting 716 . When the delete all data item 714 is clicked, all the senescence diagnosis data sets stored in the mobile terminal 100 or the server 122 are deleted. The number of items per page 504 listed in the data table 502 of the first data management item 500 is determined according to the number of items per page setting 716 .

The setting item 700 may include all data extraction items 718 and data extraction items 720 by date. When all data extraction items 718 are clicked, all frailty diagnosis data sets stored in the mobile terminal 100 or the server 122 are transmitted from the mobile terminal 100 or the server 122 to an external device. When the data extraction item 720 by date is clicked, the senescence diagnosis data set stored in the mobile terminal 100 or the server 122 on the selected date is transmitted from the mobile terminal 100 or the server 122 to an external device.

Unlike FIG. 7 , a new element may be added to the setting item 700 or an element illustrated in FIG. 7 may be excluded according to an embodiment.

The interface of the program displayed on the display 102 according to FIGS. 3 to 7 may be changed according to the function of the mobile terminal 100 .

8A and 8B are two-dimensional graphs showing the relationship between actual age and walking speed, walking speed and senility, respectively. The graphs of FIGS. 8A and 8B are obtained through linear regression analysis of statistical data, and the relationship between walking speed and the physiological age and degree of senility of a subject diagnosed with frailty is expressed in the form of a linear function.

The x-axis of FIG. 8A represents the average walking speed in m/s. And the y-axis of FIG. 3A represents the actual age. Referring to FIG. 8A , it can be seen that the average walking speed decreases as the actual age increases. Therefore, it can be seen that walking speed is correlated with senility.

The x-axis of FIG. 8B represents the average walking speed in m/s. And the y-axis of Figure 8b represents the degree of senility. According to FIG. 8B , it can be seen that the average walking speed decreases as the degree of senescence increases. Therefore, it can be seen that walking speed is correlated with senility.

Therefore, referring to FIGS. 8A and 8B , it is possible to estimate the physiological age and degree of senility of a subject diagnosed with senility through measurement of walking speed.

9 shows a graph of survival probability of a specific walking speed group by Kaplan-Meier analysis. The Kaplan-Meier analysis represents the survival probability over time of people with a specific condition, and can be obtained by observing a population of a sufficiently large sample size over a long period of time.

In Figure 9, the x-axis represents the proportion of survivors among the total cohort participants, and the y-axis represents the measurement period. Referring to FIG. 4, the cocht participants are divided into four groups (410, 420, 430, 440) according to their walking speed, and the results of observing the number of deaths according to the period for each group are displayed. The decrease in the proportion of survivors in the group with the lowest walking speed 440 is the largest, and the decrease in the proportion of survivors in the group 410 with the highest walking speed is the smallest. That is, it can be seen that the faster the walking speed group, the higher the survival rate in time series observation.

Accordingly, through the measurement of walking speed, the mobile terminal 100 or the server 122 of FIG. 1 may predict the survival probability of a subject diagnosed with senility.

According to Table 1 below, items strongly correlated with walking speed are listed. When divided into participants walking faster than the median (high-speed pedestrians) and participants walking slower than the median (slow-speed pedestrians) across the population, statistically significant multimorbidity, grip strength, physical function (SPPB), It can be seen that differences were observed in the degree of frailty (K-FRAIL and CHS frailty score), performance of daily living and instrumental activities (ADL, IADL), depression, cognition, and polypharmacy and falling history. That is, by measuring the walking speed of the subject diagnosed with frailty, it is possible to infer the health status of the subject diagnosed with frailty.

Item low speed pedestrian highway pedestrian P value multimorbidity (n) 310.00 221.00 <0.001 Dominant grip strength (mean, sd) 19.92 24.90 <0.001 SPPB score (mean, sd) 6.61 9.37 <0.001 K-FRAIL score (mean, sd) 1.63 0.93 <0.001 CHS score (mean, sd) 2.39 1.25 <0.001 ADL disability (n, %) 125.00 56.00 <0.001 IADL disability (n, %) 294.00 150.00 <0.001 Depression (n, %) 102.00 34.00 <0.001 Cognitive dysfunction (n, %) 270.00 125.00 <0.001 Polypharmacy (n, %) 193.00 113.00 <0.001 Fall history for previous 1 year (mean, sd) 0.33 0.16 0.001

10 shows the distribution of walking speed according to gender in the elderly living in the Korean community. The graph on the left of Fig. 10 shows the distribution of walking speed for men. And the graph on the right side of FIG. 10 shows the female walking speed distribution. Since there is a difference in the distribution of walking speed between men and women, when measuring the physiological age of a subject diagnosed with senility, it is necessary to consider the gender of the subject diagnosed with senility along with the walking speed.

11 shows a graph for predicting the degree of senility by using walking speed and other measurement values together. 11 shows the correlation between the gait speed and the brachial muscle circumference and the value obtained by adding the walking speed parameter and the brachial muscle circumference parameter to the degree of senility. The brachial muscle girth parameter is closely related to the degree of senility because it is related to the muscle mass of a subject diagnosed with senility, and is an important factor in predicting the gait speed and the degree of senility.

The left graph of FIG. 11 shows the relationship between the walking speed parameter and the degree of senility. According to the graph on the left, it can be seen that the degree of senility increases as the walking speed parameter decreases.

The middle graph of FIG. 11 shows the relationship between the brachial muscle circumference parameter and the degree of senility. According to the middle graph, it can be seen that the degree of senility increases as the brachial muscle circumference parameter decreases.

The right graph of FIG. 11 shows the relationship between the evaluation value obtained based on the walking speed parameter and the brachial muscle circumference parameter and the degree of senility according to the results of the left graph and the middle graph of FIG. 11 . According to the graph on the right, it can be seen that the degree of senescence increases as the evaluation value increases. When two or more factors are combined to predict the degree of senescence, predictive accuracy can be increased. In FIG. 11 , an evaluation value obtained by combining the walking speed and the girth of the brachial muscle is used, but the degree of senility can be predicted by using other factors instead of or in addition to the girth of the brachial muscle.

Hereinafter, with reference to the accompanying drawings, the embodiments will be described in detail so that those of ordinary skill in the art to which the present invention pertains can easily implement them. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description will be omitted.

Meanwhile, the above-described embodiments of the present invention can be written as a program that can be executed on a computer, and can be implemented in a general-purpose digital computer that operates the program using a computer-readable recording medium.

The terms used in this specification have been selected as currently widely used general terms as possible while considering the functions in the present invention, which may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technology, and the like. In addition, in specific cases, there are also terms arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than the name of a simple term.

References in the singular herein include plural expressions unless the context clearly dictates that the singular is singular. When a part "includes" a certain component throughout the specification, this means that other components may be further included, rather than excluding other components, unless otherwise stated.

While the present invention has been described with reference to a particular preferred embodiment, other inventions in which alternatives, modifications and variations are applied will be apparent to those skilled in the art in light of the foregoing description. That is, the claims are to be construed to cover all such alternatives, modifications and modified inventions. Therefore, all contents described in this specification and drawings should be interpreted in an illustrative and non-limiting sense.

Claims (15)

a memory in which at least one program is stored;
at least one communication interface for transmitting and receiving data to and from the walking speed meter and the server; and
A processor for providing a frailty index of a subject diagnosed with frailty by executing the at least one program,
the at least one program,
determining setting information for obtaining motion information of the subject diagnosed with senility;
transmitting the setting information to the walking speed meter through the at least one communication interface;
obtaining, from the walking speed meter through the at least one communication interface, motion information of a subject diagnosed with senility obtained by the walking speed meter according to the setting information; and
Comprising a command for performing the step of predicting the senility index of the senility diagnosis subject based on the motion information of the senility diagnosis subject,
The setting information includes at least one of a measurement direction, a measurement range, and an effective measurement range,
The measurement direction indicates the movement direction of the senility diagnosis subject to be recognized by the walking speed meter,
The measurement range represents the range of the distance between the walking speed meter in which the motion of the senility diagnosis subject can be measured and the senility diagnosis subject,
The effective measurement range represents the range of the distance between the walking speed meter and the senility diagnosis subject required for determining the walking speed,
The senility index is a mobile terminal, characterized in that it represents a ratio of the number of senility-related symptoms and the total number of senescence-related symptoms of the subject diagnosed with frailty.
According to claim 1,
the at least one program,
obtaining personal information of the subject diagnosed with senility; and;
The mobile terminal, characterized in that it further comprises the step of obtaining medical information about the health condition of the subject diagnosed with frailty, based on the personal information and the frailty index of the subject diagnosed with frailty.
3. The method of claim 2,
The personal information of the person diagnosed with senility is,
Mobile terminal, characterized in that it comprises at least one of identification information, residential area, and race of the senility diagnosis target.
a memory in which at least one program is stored;
at least one communication interface for transmitting and receiving data to and from the walking speed meter and the server; and
A processor for providing a senility index of a subject diagnosed with senility by executing the at least one program,
the at least one program,
obtaining motion information of the subject diagnosed with senility from the walking speed meter through the at least one communication interface;
determining a gait speed parameter representing the gait speed of the senility diagnosis subject from the motion information of the frailty diagnosis subject; and
Comprising a command for performing the step of obtaining the senility index of the senility diagnosis subject based on the walking speed parameter of the senility diagnosis subject,
The walking speed parameter is set to represent the walking speed of a predetermined section,
The senility index is determined according to a correlation between the senility index and the walking speed parameter,
The senility index is a mobile terminal, characterized in that it represents a ratio of the number of senility-related symptoms and the total number of senescence-related symptoms of the subject diagnosed with frailty.
5. The method of claim 4,
the at least one program,
Transmitting the walking speed parameter of the senility diagnosis subject to the server through the at least one communication interface,
The step of obtaining the senility index of the subject diagnosed with senility,
The mobile terminal, characterized in that obtaining, from the server through the at least one communication interface, the senility index of the senility diagnosis subject determined based on the gait speed parameter of the senility diagnosis subject.
5. The method of claim 4,
the at least one program,
Through the at least one communication interface, further comprising the step of obtaining the senility index database indicating the relationship between the senility index and the walking speed,
The step of obtaining the senility index of the subject diagnosed with senility,
Based on the senility index database, the mobile terminal, characterized in that for determining the senility index of the senility diagnosis subject from the walking speed parameter of the senility diagnosis subject.
delete delete According to claim 1,
the at least one program,
obtaining identification information of the walking speed meter from the walking speed meter through the at least one communication interface; and
The mobile terminal further comprising the step of determining whether the walking speed meter is valid according to the identification information.
a memory in which at least one program is stored;
at least one communication interface for transmitting and receiving data to and from the server;
a walking speed meter for acquiring motion information of a subject diagnosed with senility; and
A processor for providing a senility index of a subject diagnosed with senility by executing the at least one program,
the at least one program,
determining setting information for obtaining motion information of the subject diagnosed with senility;
transmitting the setting information to the walking speed meter through the at least one communication interface;
according to the setting information, obtaining motion information of the subject diagnosed with senility from the walking speed meter; and
Comprising a command for performing the step of predicting the senility index of the senility diagnosis subject based on the motion information of the senility diagnosis subject,
The setting information includes at least one of a measurement direction, a measurement range, and an effective measurement range,
The measurement direction indicates the movement direction of the senility diagnosis subject to be recognized by the walking speed meter,
The measurement range represents the range of the distance between the walking speed meter in which the motion of the senility diagnosis subject can be measured and the senility diagnosis subject,
The effective measurement range represents the range of the distance between the walking speed meter and the senility diagnosis subject required for determining the walking speed,
The senility index is a mobile terminal, characterized in that it represents a ratio of the number of senility-related symptoms and the total number of senescence-related symptoms of the subject diagnosed with frailty.
determining setting information for obtaining motion information of a subject diagnosed with senility;
transmitting the setting information to a walking speed meter via at least one communication interface;
Acquiring the motion information of a subject diagnosed with senility from a walking speed meter through a communication interface; and
Performing, by the processor, predicting the senility index of the senility diagnosis subject based on the walking speed of the senility diagnosis subject,
The setting information includes at least one of a measurement direction, a measurement range, and an effective measurement range,
The measurement direction indicates the movement direction of the senility diagnosis subject to be recognized by the walking speed meter,
The measurement range represents the range of the distance between the walking speed meter in which the motion of the senility diagnosis subject can be measured and the senility diagnosis subject,
The effective measurement range represents the range of the distance between the walking speed meter and the senility diagnosis subject required for determining the walking speed,
The senility index is a computer program product stored in a computer-readable recording medium indicating a ratio of the number of senescence-related symptoms and the total number of senescence-related symptoms of the subject diagnosed with frailty.
a memory in which at least one program and data relating to a correlation between walking speed and senility index are stored;
at least one communication interface for transmitting and receiving data to and from the mobile terminal;
A processor for providing a senility index of a subject diagnosed with senility by executing the at least one program,
the at least one program,
receiving, through the at least one communication interface, a gait speed parameter of a subject diagnosed with senility from the mobile terminal;
predicting, by the processor, the senility index of the subject diagnosed with frailty from the gait speed parameter of the subject diagnosed with senility, based on the data on the correlation between the gait speed and the senility index; and
Including a command for performing the step of transmitting, through the at least one communication interface, the senility index of the subject diagnosed with senility to the mobile terminal,
The walking speed parameter is set to represent the walking speed of a predetermined section,
The senility index is a server, characterized in that it represents a ratio of the number of senility-related symptoms and the total number of senescence-related symptoms of the subject diagnosed with frailty.
A mobile terminal comprising: a memory in which at least one program is stored, at least one communication interface for transmitting and receiving data to and from a walking speed meter and a server; and
Including a walking speed meter to obtain the motion information of the senility diagnosis subject,
the at least one program,
determining setting information for obtaining motion information of the subject diagnosed with senility;
transmitting the setting information to the walking speed meter through the at least one communication interface;
obtaining, through the at least one communication interface, movement information of a subject diagnosed with senility obtained by the walking speed meter according to the setting information from the walking speed meter; and
Comprising a command for performing the step of predicting the senility index of the senility diagnosis subject based on the motion information of the senility diagnosis subject,
The setting information includes at least one of a measurement direction, a measurement range, and an effective measurement range,
The measurement direction indicates the movement direction of the senility diagnosis subject to be recognized by the walking speed meter,
The measurement range represents the range of the distance between the walking speed meter in which the motion of the senility diagnosis subject can be measured and the senility diagnosis subject,
The effective measurement range represents the range of the distance between the walking speed meter and the senility diagnosis subject required for determining the walking speed,
The senility index is a senility diagnosis system, characterized in that it represents a ratio of the number of senescence-related symptoms to the total number of senescence-related symptoms of the subject diagnosed with senility. delete delete

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