JP7679089B2 - Fall prevention support program, fall prevention support device, fall prevention support system, and fall prevention support method - Google Patents

Description

Article 30, paragraph 2 of the Patent Act applies. Date of website publication: September 13, 2022 Website address: http://www.scirp.org/journal/paperinformation.aspx?paperid=119763, http://www.scirp.org/pdf/aar_2022090914483535.pdf

The present invention relates to a fall prevention support program, a fall prevention support device, a fall prevention support system, and a fall prevention support method for preventing falls among elderly people and the like.

In recent years, there has been an increase in fatal accidents caused by falls among the elderly and others. Even if falls do not result in death, they shorten healthy life expectancy and increase social security costs such as medical expenses and nursing care expenses, leading to financial strains, making them a social problem.

As a technology for preventing pedestrians from falling, for example, JP 2021-3248 A proposes a fall prevention system that includes a weight attached to the ankle of the pedestrian, an acceleration sensor attached to the weight, and a walking monitor that notifies the user when a walking state that poses a high risk of inducing a fall is detected based on the measurement value of the acceleration sensor (Patent Document 1).

JP 2021-3248 A

However, in the past, including the invention described in Patent Document 1, falls in the elderly and others have been thought to be caused by aging-related muscle weakness in the trunk and the entire lower limbs. For this reason, many of the policies and efforts to prevent falls focus on strengthening the muscles of the trunk and the entire lower limbs, but the current situation is that they have not produced significant results.

The present invention has been made to solve these problems, and aims to provide a fall prevention support program, a fall prevention support device, a fall prevention support system, and a fall prevention support method that can provide support to effectively prevent falls in elderly people and others.

As a result of intensive research, the inventors have discovered that the main cause of falls among the elderly and others is a decline in toe function. Based on this knowledge, the inventors have completed the following inventions.

The fall prevention support program of the present invention solves the problem of providing support for effectively preventing falls in elderly people and the like by providing a measurement data acquisition unit that acquires time-series foot pressure distribution data and time-series foot pressure center data measured by a foot pressure distribution meter, a foot pressure data calculation unit that calculates time-series foot pressure data at the big toe and the base of the big toe based on the foot pressure distribution data, and a time-series foot pressure calculation unit that indicates how well the big toe was used in accordance with the swaying of the body based on the foot pressure center data and the foot pressure data of the big toe. The computer functions as a big toe coordination index calculation unit that calculates a big toe coordination index, which is an index of how much weight is placed on the big toe, a big toe load ratio calculation unit that calculates a big toe load ratio that indicates how much weight is placed on the big toe based on the foot pressure data of the big toe and the foot pressure data at the base of the big toe, a toe function type discrimination unit that discriminates toe function types classified according to the function of the toes based on the big toe coordination index and the big toe load ratio, and a training information output unit that outputs training information tailored to the toe function type.

As another aspect of the present invention, in order to solve the problem of calculating an appropriate big toe coordination index as an index showing how well the big toe can be used in accordance with the swaying of the body, the big toe coordination index calculation unit may use a cross-correlation function to calculate the correlation coefficient between the foot pressure center data and the foot pressure data on the big toe when the time lag is zero as the big toe coordination index.

Furthermore, as one aspect of the present invention, in order to solve the problem of calculating an appropriate big toe load ratio as an index showing how much weight is being placed on the big toe, the big toe load ratio calculation unit may calculate the big toe load ratio as the ratio between the average value of the foot pressure data on the big toe during the measurement time and the average value of the foot pressure data at the base of the big toe during the measurement time.

As another aspect of the present invention, in order to solve the problem of classifying toe function types according to whether the big toe can be used in a timely manner in accordance with the swaying of the body and whether the weight can be placed on the big toe to brace oneself, the toe function types may be classified into a type in which the whole toe is used well, a type in which the toes are not used well, a type in which the weight is not placed on the toes, and a type in which the whole toes are not used well.

Furthermore, as one aspect of the present invention, in order to solve the problem of easily and accurately evaluating the risk of a person being measured to fall, a computer may be made to function as a measurement result evaluation unit that evaluates the risk of falling, indicating how susceptible a person is to falling, based on at least one of the big toe coordination index and the big toe load ratio.

The fall prevention support device of the present invention solves the problem of providing support to effectively prevent falls in elderly people and the like by comprising a measurement data acquisition unit that acquires time-series foot pressure distribution data and time-series foot pressure center data measured by a foot pressure distribution meter, a foot pressure data calculation unit that calculates time-series foot pressure data at the big toe and the base of the big toe based on the foot pressure distribution data, and a timing calculator that calculates how well the big toe can be used in accordance with the swaying of the body based on the foot pressure center data and the foot pressure data of the big toe. The device has a big toe coordination index calculation unit that calculates a big toe coordination index, which is an index indicating how much weight is being placed on the big toe, a big toe load ratio calculation unit that calculates a big toe load ratio that indicates how much weight is being placed on the big toe based on the foot pressure data of the big toe and the foot pressure data at the base of the big toe, a toe function type discrimination unit that discriminates toe function types classified according to the function of the toes based on the big toe coordination index and the big toe load ratio, and a training information output unit that outputs training information tailored to the toe function type.

The fall prevention support system of the present invention comprises the fall prevention support device and the foot pressure distribution meter in order to solve the problem of providing support to effectively prevent falls in elderly people and the like.

The fall prevention support method according to the present invention solves the problem of providing support for effectively preventing falls in elderly people and the like by comprising a measurement data acquisition step of acquiring time-series foot pressure distribution data and time-series foot pressure center data measured by a foot pressure distribution meter, a foot pressure data calculation step of calculating time-series foot pressure data at the big toe and the base of the big toe based on the foot pressure distribution data, and a step of indicating how well the big toe was used in accordance with the swaying of the body based on the foot pressure center data and the foot pressure data of the big toe. The method includes a step of calculating a big toe coordination index, which is an index of the big toe coordination, a step of calculating a big toe load ratio, which indicates how much weight is being placed on the big toe, based on the foot pressure data of the big toe and the foot pressure data at the base of the big toe, a step of determining a toe function type, which is classified according to the function of the toes, based on the big toe coordination index and the big toe load ratio, and a step of outputting training information according to the toe function type.

The present invention can provide support to effectively prevent falls in elderly people and others.

1 is a block diagram showing an embodiment of a fall prevention support program, a fall prevention support device, and a fall prevention support system according to the present invention. FIG. 4 is a diagram showing an example of foot pressure distribution data in the present embodiment. FIG. 13 is a diagram showing an example of a measurement result screen of the present embodiment. 1 is a flowchart showing processing executed by a fall prevention support program, a fall prevention support device, and a fall prevention support method of the present embodiment.

Below, embodiments of the fall prevention support program, fall prevention support device, fall prevention support system, and fall prevention support method according to the present invention will be described with reference to the drawings.

The fall prevention support system 100 of this embodiment is composed of a fall prevention support device 1, which is a computer such as a personal computer, tablet, or smartphone, and a foot pressure distribution meter 10 capable of data communication with this fall prevention support device 1. As shown in FIG. 1, the fall prevention support device 1 of this embodiment mainly comprises a display means 2, a storage means 3, and a calculation processing means 4. Each component will be described below.

The foot pressure distribution meter 10 measures data related to the foot pressure of the person being measured. In this embodiment, the foot pressure distribution meter 10 is configured in the shape of a mat with multiple pressure sensors arranged in a grid pattern. The person being measured is then asked to stand still on one or both feet in the center of the foot pressure distribution meter 10, and foot pressure is measured. This causes pressure values to be output from each pressure sensor at a predetermined sampling frequency for a predetermined measurement time (maximum 30 seconds).

The display means 2 is composed of a liquid crystal display, a touch panel, or the like, and allows the user to visually confirm various information. In this embodiment, the display means 2 displays the subject's big toe coordination index, big toe load ratio, toe function type, training information, and the like, as described below.

The storage means 3 stores various data and functions as a working area when the calculation processing means 4 performs calculation processing. In this embodiment, the storage means 3 is composed of a hard disk, a ROM (Read Only Memory), a RAM (Random Access Memory), a flash memory, etc., and has a program storage unit 31 and a training information storage unit 32 as shown in FIG. 1.

The fall prevention support program 1a of this embodiment is installed in the program storage unit 31. The calculation processing means 4 executes the fall prevention support program 1a, causing the computer serving as the fall prevention support device 1 to function as each of the components described below.

The use of the fall prevention support program 1a is not limited to the above configuration. For example, the fall prevention support program 1a may be stored in a non-transitory computer-readable recording medium, such as a CD-ROM or DVD-ROM, and read and executed directly from the recording medium. The fall prevention support program 1a may also be used from an external server or the like using a cloud computing method or an ASP (Application Service Provider) method.

The training information storage unit 32 stores training information tailored to the toe function type. In this embodiment, a training video for strengthening the function of the toes is created individually for each toe function type and uploaded in advance to an external server or the like. The training information storage unit 32 stores, as training information, a QR code (registered trademark) or a URL (Uniform Resource Locator) for accessing each training video.

The calculation processing means 4 is composed of a CPU (Central Processing Unit) and the like, and by executing the fall prevention support program 1a installed in the program storage unit 31, as shown in FIG. 1, functions as a measurement data acquisition unit 41, a foot pressure data calculation unit 42, a big toe coordination index calculation unit 43, a big toe load ratio calculation unit 44, an anterior-posterior position identification unit 45, a measurement result evaluation unit 46, a display data output unit 47, a toe function type discrimination unit 48, and a training information output unit 49. Each component will be described in more detail below.

The measurement data acquisition unit 41 acquires time-series foot pressure distribution data and time-series foot pressure center data measured by the foot pressure distribution meter 10. In this embodiment, the raw data (pressure values of each sensor) output from the foot pressure distribution meter 10 is converted into time-series foot pressure distribution data and time-series foot pressure center data by software dedicated to the foot pressure distribution meter 10, and then acquired by the measurement data acquisition unit 41.

As shown in Figure 2, the foot pressure distribution data is arranged in a grid that corresponds to the arrangement of the pressure sensors, and the pressure value of each grid indicates the distribution of foot pressure at each time (e.g., 1/100 seconds) according to the sampling frequency. The center of pressure (COP) is also called the point of action of the floor reaction force or the center of pressure, and is the central point of the distribution of forces acting on the contact surface between the floor and the body. The coordinates of this center are obtained as the foot pressure center data.

The foot pressure data calculation unit 42 calculates time-series foot pressure data on the big toe and the base of the big toe based on the foot pressure distribution data. In this embodiment, the foot pressure data calculation unit 42 first extracts foot pressure distribution data on the part corresponding to the big toe and the base of the big toe from the foot pressure distribution data. For example, in the case of the foot pressure distribution data (23 rows x 10 columns) shown in FIG. 2, by comparing it with the shape of the sole of the foot, the four squares (2 rows x 2 columns) from the 1st to 2nd rows and the 8th to 9th columns can be determined as the part corresponding to the big toe, and the four squares (2 rows x 2 columns) from the 6th to 7th rows and the 8th to 9th columns can be determined as the part corresponding to the base of the big toe. Note that the part corresponding to the big toe and the part corresponding to the base of the big toe are not limited to the parts specified by the above rows and columns, and may be changed as appropriate depending on the shape of the sole of the subject's foot.

The foot pressure data calculation unit 42 then identifies the extracted pressure values for each square as time series data for the measurement time. For example, if the sampling frequency is 50 Hz and the measurement time is 30 seconds, there will be 1,500 pieces of time series data. The foot pressure data calculation unit 42 then calculates the sum of the time series data for each of the four squares corresponding to the big toe at the same time, and uses the time series data of the sum as time series foot pressure data for the big toe. Similarly, the foot pressure data calculation unit 42 calculates the sum of the time series data for each of the four squares corresponding to the base of the big toe at the same time, and uses the time series data of the sum as time series foot pressure data for the base of the big toe.

The big toe coordination index calculation unit 43 calculates a big toe coordination index, which is an index showing how well the big toe can be used in accordance with the swaying of the body. In this embodiment, based on the time-series foot pressure center data acquired by the measurement data acquisition unit 41 and the time-series foot pressure data on the big toe calculated by the foot pressure data calculation unit 42, the big toe coordination index calculation unit 43 uses a cross-correlation function to calculate the correlation coefficient between the foot pressure center data and the foot pressure data on the big toe when the time lag is zero, as the big toe coordination index.

The correlation coefficient ranges from -1 to 1, so in this embodiment, the absolute value of the correlation coefficient multiplied by 100 is used as the big toe coordination index.

The big toe load ratio calculation unit 44 calculates the big toe load ratio, which indicates how much weight is being placed on the big toe. In this embodiment, the big toe load ratio calculation unit 44 acquires foot pressure data on the big toe and the base of the big toe calculated by the foot pressure data calculation unit 42. The big toe load ratio calculation unit 44 then calculates the ratio (big toe/base of big toe) between the average value of the foot pressure data on the big toe during the measurement time and the average value of the foot pressure data at the base of the big toe during the measurement time as the big toe load ratio.

The anterior-posterior position determination unit 45 determines the anterior-posterior position of the center of foot pressure. This anterior-posterior position is used to determine whether the center of foot pressure is displaced from the center of the foot while the subject is standing on one or both feet on the foot pressure distribution meter 10. Here, the center of the foot is the intersection of the foot length axis (the line connecting the index finger (second finger) to the heel) and the navicular bone level.

In this embodiment, the anterior-posterior position determination unit 45 determines the average value of the foot pressure center data acquired by the measurement data acquisition unit 41 within the measurement time as the anterior-posterior position of the foot pressure center. The anterior-posterior position of the foot pressure center is then evaluated in five stages, namely, significantly forward, slightly forward, almost in the center, slightly backward, and significantly backward, relative to the center of the anterior-posterior positions (navicular bone level).

The measurement result evaluation unit 46 evaluates the measurement results. In this embodiment, the measurement result evaluation unit 46 evaluates the load amount, which indicates how much force is being applied to the big toe, based on the big toe load ratio calculated by the big toe load ratio calculation unit 44. The measurement result evaluation unit 46 also evaluates the coordination, which indicates how well the big toe is being used, based on the big toe coordination index calculated by the big toe coordination index calculation unit 43. Furthermore, the measurement result evaluation unit 46 evaluates the risk of falling, which indicates how likely it is to fall, based on at least one of the big toe coordination index calculated by the big toe coordination index calculation unit 43 and the big toe load ratio calculated by the big toe load ratio calculation unit 44.

Specifically, threshold ranges (upper and lower limits) and evaluation comments are set in advance for each of the load amount, coordination, and fall risk, for approximately five evaluation stages. The measurement result evaluation unit 46 then identifies the evaluation stage depending on which range the calculated big toe coordination index and big toe load ratio fall into.

The display data output unit 47 outputs various display data to the display means 2. In this embodiment, as shown in FIG. 3, the display data output unit 47 outputs, as display data, to the display means 2, the big toe coordination index calculated by the big toe coordination index calculation unit 43, the big toe load ratio calculated by the big toe load ratio calculation unit 44, the anterior-posterior position identified by the anterior-posterior position identification unit 45, and the evaluation results (load amount, coordination, fall risk) evaluated by the measurement result evaluation unit 46.

The toe function type discrimination unit 48 discriminates the toe function type classified according to the toe function based on the big toe coordination index and the big toe load ratio. As a result of extensive research, the inventors of the present application have found that there is a strong correlation between the cause of falls and whether the big toe is used in a timely manner in accordance with the swaying of the body, and whether the weight is placed on the big toe to brace oneself. Therefore, the inventors have newly defined the big toe coordination index and the big toe load ratio described above, and decided to classify the toe function type using these two variables.

The toe functions were classified into the following four types:
Type A: A type that can use all of the toes well (the toes themselves are fine)
Type B: Type that does not use toes (especially the big toe) well. Type C: Type that does not put weight on toes (especially the big toe). Type D: Type that does not use all toes well.

The toe function type discriminating section 48 discriminates the toe function type according to the following classification criteria classified by the big toe coordination index a and the big toe load ratio b.
Type A: a>90 points and b>90
Type B: 20 points < a < 90 points and b > 60
Type C: 20 points < a < 90 points and b < 60
Type D: a<20 points and b<90

When formulating the above classification criteria, the big toe coordination index and big toe weight bearing ratio were calculated for approximately 10 young adults, and they were visually selected as belonging to any of types A to D based on how they actually stood on one leg. The numerical values of the above classification criteria were then determined so that there was an 80% or higher probability of matching the selected type. In particular, for the big toe weight bearing ratio, a standard value such as type D was set, since some people are unable to use their big toe well and therefore have to brace themselves the entire time they are standing on one leg.

The training information output unit 49 outputs training information that matches the toe function type. In this embodiment, the training information output unit 49 acquires training information that corresponds to the toe function type determined by the toe function type determination unit 48 from the training information storage unit 32, and outputs it to the display means 2.

In this embodiment, as shown in FIG. 3, a QR code (registered trademark) or a hyperlink for accessing the URL of each training video is displayed on the display means 2 as training information. In addition, the training content for each toe function type instructed by each training video can be, for example, the following:

Type A: Stand on both feet and squat. While doing this, push the floor with your big toe. Do 2 sets of 10 repetitions.

Type B: Perform the following exercises (1) to (3).
(1) Exercise to spread your toes. Put your fingers between each of your toes and spread them apart. If your fingers cannot reach between your toes, you can use a separator to put between your toes. Do two sets of 15 seconds each.
(2) Open and close your toes. Do one open and close for 2 seconds. Do 2 sets of 10 open and close movements.
(3) Stand on one leg and keep it for 5 seconds. At this time, push the floor with your big toe. Do two sets of 5 seconds each.

Type C: Perform the exercises (1) to (3) below.
(1) Exercise to squeeze your toes as hard as you can. Do 5 sets, 5 seconds per set.
(2) Arch lift exercise. With the sole of your foot on the floor, lift the arch of your foot and hold it in place. Hold for 5 seconds, and do 5 sets.
(3) Stand on one leg and keep it for 5 seconds. At this time, press the base of your big toe against the floor. Do two sets of 5 seconds each.

Type D: Perform the exercises (1) to (2) below.
(1) Improve ankle flexibility. While standing, stretch your calf muscles (gastrocnemius). Do three sets of 15 seconds each.
(2) An exercise to move the center of gravity of the whole body forward. Without bending the knees or hips, move the center of gravity as far forward as possible and hold that position for 5 seconds, then slowly return to a straight position. This counts as one set, and you should do 5 sets.

If the toe does not fall into any of types A to D, there is a possibility that the toes are deformed, etc., so instead of training information, advice information to see a doctor at a hospital or the like may be displayed. In addition, the training content according to each type is not limited to the above content and may be changed as appropriate.

Next, the effects of the fall prevention support program 1a, fall prevention support device 1, fall prevention support system 100, and fall prevention support method of this embodiment will be described.

When using the fall prevention support device 1 of this embodiment to support the prevention of falls in a person being measured, first, the person being measured is asked to stand still on one leg at the center of the foot pressure distribution meter 10, and foot pressure is measured for a predetermined period of time. This allows the person being measured to simply stand on one leg without walking or running, which reduces the physical burden on the body even for elderly people. Furthermore, measurements can be made as long as there is space to install the foot pressure distribution meter 10, and there is no need for a large space to measure walking data or running data.

When the subject's foot pressure is measured, as shown in FIG. 4, the measurement data acquisition unit 41 acquires time-series foot pressure distribution data and time-series foot pressure center data from the foot pressure distribution meter 10 (step S1: measurement data acquisition step). Next, the foot pressure data calculation unit 42 calculates time-series foot pressure data at the big toe and the base of the big toe based on the foot pressure distribution data acquired in step S1 (step S2: foot pressure data calculation step). This foot pressure data makes it possible to evaluate whether the subject was using the big toe well and whether they were bracing themselves on the big toe while standing on one leg.

Next, the big toe coordination index calculation unit 43 calculates the big toe coordination index based on the foot pressure center data acquired in step S1 and the big toe foot pressure data calculated in step S2 (step S3: big toe coordination index calculation step). This provides the big toe coordination index, which is an index showing how well the big toe can be used in accordance with the swaying of the body.

Next, the big toe load ratio calculation unit 44 calculates the big toe load ratio based on the big toe foot pressure data calculated in step S2 and the foot pressure data at the base of the big toe (step S4: big toe load ratio calculation step). This provides the big toe load ratio, which indicates how much weight is being applied to the big toe.

Next, the anterior-posterior position identification unit 45 identifies the anterior-posterior position of the center of foot pressure based on the center of foot pressure data acquired in step S1 (step S5: anterior-posterior position identification step). This allows a determination as to whether the subject is carrying an anterior load, in which the weight is placed on the big toe, or a posterior load, which is common among the elderly.

Next, the measurement result evaluation unit 46 evaluates the measurement results based on the big toe coordination index calculated in step S3 and the big toe load ratio calculated in step S4 (step S6: measurement result evaluation step). This allows the load, coordination, and fall risk of the person being measured to be evaluated easily and with high accuracy.

Next, the display data output unit 47 outputs the big toe coordination index calculated in step S3, the big toe load ratio calculated in step S4, the anterior-posterior position identified in step S5, the evaluation results evaluated in step S6, etc. to the display means 2 (step S7: display data output step). As a result, as shown in FIG. 3, the display means 2 displays the big toe coordination index, big toe load ratio, anterior-posterior position, evaluation results, etc. of the person being measured.

Next, the toe function type discrimination unit 48 discriminates the toe function type based on the big toe coordination index calculated in step S3 and the big toe load ratio calculated in step S4 (step S8: toe function type discrimination step). This identifies the toe function type classified according to whether the big toe is used in a timely manner in accordance with the swaying of the body and whether the body weight is placed on the big toe to brace the feet. This toe function type then makes it clear what factors are likely to cause the subject to fall.

Finally, the training information output unit 49 outputs the toe function type determined in step S8 and training information that matches that toe function type (step S9: training information output step). As a result, the toe function type of the person being measured and training information that matches that toe function type are displayed on the display means 2, as shown in FIG. 3. Therefore, by the person being measured performing training according to the training information, the function of the toes is improved and falls are effectively prevented.

According to the present embodiment as described above, the following advantageous effects are obtained.
1. By identifying the cause of falls and suggesting training tailored to that cause, it is possible to provide support to effectively prevent falls in elderly people and others.
2. It is possible to calculate an appropriate big toe coordination index as an index showing how well the big toe was used in accordance with the swaying of the body.
3. It is possible to calculate an appropriate big toe load ratio as an index showing how much weight is being placed on the big toe.
4. Toe function types can be classified according to whether or not you can use the big toe in a timely manner in accordance with the swaying of the body, and whether or not you can put your weight on the big toe and brace yourself.
5. The load, coordination and risk of falling of the subject can be evaluated easily and with high accuracy.

The fall prevention support program 1a, fall prevention support device 1, fall prevention support system 100, and fall prevention support method according to the present invention are not limited to the above-described embodiments, and can be modified as appropriate.

For example, in the above-described embodiment, the subject stands on one leg on the foot pressure distribution meter 10 to measure foot pressure data, but this configuration is not limited to this, and for subjects who have difficulty standing on one leg, measurements may be taken while the subjects stand on both legs. In this case, the big toe coordination index and big toe load ratio may be calculated separately for each foot, or the average values for each foot may be calculated.

In addition, in the above-described embodiment, the training information output unit 49 outputs a QR code (registered trademark) or a hyperlink for accessing the URL of the training video to the display means 2, but this is not limited to the configuration. For example, text explaining the training content may be directly displayed, or paper on which the training content is printed may be output from a printer or the like.

REFERENCE SIGNS LIST 1 Fall prevention support device 2 Display means 3 Storage means 4 Arithmetic processing means 10 Foot pressure distribution meter 31 Program storage section 32 Training information storage section 41 Measurement data acquisition section 42 Foot pressure data calculation section 43 Great toe coordination index calculation section 44 Great toe load ratio calculation section 45 Front/rear position determination section 46 Measurement result evaluation section 47 Display data output section 48 Toe function type discrimination section 49 Training information output section 100 Fall prevention support system

Claims (7)

a measurement data acquisition unit that acquires time-series foot pressure distribution data and time-series foot pressure center data measured by a foot pressure distribution meter;
a foot pressure data calculation unit that calculates time-series foot pressure data at the first toe and the base of the first toe based on the foot pressure distribution data;
a big toe coordination index calculation unit that calculates a big toe coordination index, which is an index showing how well the big toe is used in accordance with the swaying of the body, based on the foot pressure center data and the foot pressure data of the big toe;
a big toe load ratio calculation unit that calculates a big toe load ratio indicating how much weight is being applied to the big toe based on the foot pressure data of the big toe and the foot pressure data at the base of the big toe;
a toe function type discrimination unit that discriminates a toe function type classified according to the function of the toes based on the big toe coordination index and the big toe load ratio;
The computer is caused to function as a training information output unit that outputs training information suited to the toe function type ,
The fall prevention support program, wherein the big toe coordination index calculation unit uses a cross-correlation function to calculate the correlation coefficient between the foot pressure center data and the foot pressure data at the big toe when a time lag is zero as the big toe coordination index . 2. The fall prevention support program according to claim 1, wherein the big toe load ratio calculation unit calculates the big toe load ratio as the ratio between the average value of the foot pressure data of the big toe within the measurement time and the average value of the foot pressure data at the base of the big toe within the measurement time. 2. The fall prevention support program according to claim 1, wherein the toe function types are classified into a type in which the toes can be used well, a type in which the toes cannot be used well, a type in which weight is not placed on the toes, and a type in which the toes cannot be used well. The fall prevention support program of claim 1, which causes a computer to function as a measurement result evaluation unit that evaluates the risk of falling, indicating how prone a person is to falling, based on which range at least one of the values of the big toe coordination index and the big toe load ratio falls within a threshold range preset for each evaluation stage. a measurement data acquisition unit that acquires time-series foot pressure distribution data and time-series foot pressure center data measured by a foot pressure distribution meter;
a foot pressure data calculation unit that calculates time-series foot pressure data at the first toe and the base of the first toe based on the foot pressure distribution data;
a big toe coordination index calculation unit that calculates a big toe coordination index, which is an index showing how well the big toe is used in accordance with the swaying of the body, based on the foot pressure center data and the foot pressure data of the big toe;
a big toe load ratio calculation unit that calculates a big toe load ratio indicating how much weight is being applied to the big toe based on the foot pressure data of the big toe and the foot pressure data at the base of the big toe;
a toe function type discrimination unit that discriminates a toe function type classified according to the function of the toes based on the big toe coordination index and the big toe load ratio;
a training information output unit that outputs training information according to the toe function type;
With
The fall prevention support device, wherein the big toe coordination index calculation unit uses a cross-correlation function to calculate the correlation coefficient between the foot pressure center data and the foot pressure data at the big toe when the time lag is zero as the big toe coordination index . A fall prevention support system comprising the fall prevention support device according to claim 5 and the foot pressure distribution meter. a measurement data acquisition step of acquiring time-series foot pressure distribution data and time-series foot pressure center data measured by a foot pressure distribution meter;
a foot pressure data calculation step of calculating time-series foot pressure data at the first toe and the base of the first toe based on the foot pressure distribution data;
a step of calculating a big toe coordination index, which is an index showing how well the big toe is used in accordance with the swaying of the body, based on the foot pressure center data and the foot pressure data of the big toe;
a big toe load ratio calculation step of calculating a big toe load ratio indicating how much weight is being applied to the big toe based on the foot pressure data of the big toe and the foot pressure data at the base of the big toe;
a toe function type discrimination step of discriminating a toe function type classified according to the function of the toes based on the big toe coordination index and the big toe load ratio;
a training information output step of outputting training information according to the toe function type;
With
A fall prevention support method, in which the big toe coordination index calculation step uses a cross-correlation function to calculate the correlation coefficient between the foot pressure center data and the foot pressure data at the big toe when the time lag is zero as the big toe coordination index .

Images