Fall prevention support program, fall prevention support device, fall prevention support system, and fall prevention support method

Abstract

To provide a fall prevention support program, fall prevention support device, fall prevention support system, and fall prevention support method that can provide support to effectively prevent falling of older persons or the like.SOLUTION: A fall prevention support program causes a computer to function as: a measurement data acquisition part 41 which acquires foot pressure distribution data and foot pressure center data; a foot pressure data calculation part 42 which calculates foot pressure data at the first toe and the root of the first toe; a first toe cooperativeness index calculation part 43 which calculates a first toe cooperativeness index; a first toe load ratio calculation part 44 which calculates a first toe load ratio; a toe function type discrimination part 47 which determines a toe function type; and a training information output part 48 which outputs training information according to the toe function type.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] 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 of the elderly and the like.

Background Art

[0002] In recent years, the number of fatal accidents due to falls of the elderly and the like has been increasing. In addition, falls of the elderly and the like have become a social problem, such as shortening the healthy life span even if death is not caused, increasing social security costs such as medical expenses and nursing care expenses, and causing financial strain.

[0003] Note that, as a technology for preventing a pedestrian from falling, for example, Japanese Unexamined Patent Application Publication No. 2021-3248 proposes a fall prevention system including a weight attached to the ankle of a pedestrian, an acceleration sensor attached to the weight, and a walking monitoring unit that notifies that a walking state with a high risk of inducing a fall has been detected based on a measurement value of the acceleration sensor (Patent Document 1).

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, including the invention described in Patent Document 1, conventionally, falls of the elderly and the like are considered to be caused by a decrease in muscle strength of the trunk and the entire lower limbs due to aging. For this reason, although many measures and efforts for preventing falls focus on strengthening the muscle strength of the trunk and the entire lower limbs, there is a current situation where no great results have been obtained.

[0006] The present invention has been made to solve such problems, and an object thereof is to provide a fall prevention support program, a fall prevention support device, a fall prevention support system, and a fall prevention support method capable of providing support for effectively preventing falls of the elderly and the like.

Means for Solving the Problems

[0007] As a result of intensive research, the present inventors have found that the main cause of falls by the elderly and the like lies in the decline of toe functions. Based on such findings, the following inventions have been completed.

[0008] The fall prevention support program according to the present invention, in order to solve the problem of providing support for effectively preventing falls of the elderly and the like, a measurement data acquisition unit that acquires time-series plantar pressure distribution data and time-series plantar pressure center data measured by a plantar pressure distribution meter, a plantar pressure data calculation unit that calculates time-series plantar pressure data at the big toe and the base of the big toe based on the plantar pressure distribution data, a big toe coordination index calculation unit that calculates a big toe coordination index, which is an index indicating how well the big toe can be used in a timely manner in accordance with the body's sway, based on the plantar pressure center data and the plantar 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 applied to the big toe based on the plantar pressure data of the big toe and the plantar pressure data at the base of the big toe, a toe function type determination unit that determines 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, and causes a computer to function as a training information output unit that outputs training information corresponding to the toe function type.

[0009] Further, as an aspect of the present invention, in order to solve the problem of calculating an appropriate big toe coordination index as an index indicating how well the big toe can be used in a timely manner in accordance with the body's sway, the big toe coordination index calculation unit may calculate, as the big toe coordination index, a correlation coefficient between the plantar pressure center data and the plantar pressure data at the big toe when the time lag is zero, using a cross-correlation function.

[0010] Furthermore, as one aspect of the present invention, in order to solve the problem of calculating an appropriate hallux load ratio as an index indicating how much weight is applied to the big toe, the hallux load ratio calculation unit may calculate the ratio of the average value of the plantar pressure data of the big toe during the measurement time to the average value of the plantar pressure data at the base of the big toe during the measurement time as the hallux load ratio.

[0011] Also, as one aspect of the present invention, in order to solve the problem of classifying the toe function type according to whether the big toe is used in a timely manner in accordance with the body sway and whether the big toe can bear weight and brace itself, the toe function type may be classified into a type in which the whole toe is used well, a type in which the toe is not used well, a type in which no weight is placed on the toe, and a type in which the whole toe is not used well.

[0012] Furthermore, as one aspect of the present invention, in order to solve the problem of simply and highly accurately evaluating the fall risk of the subject, a computer may function as a measurement result evaluation unit that evaluates a fall risk indicating how likely it is to fall based on at least one of the hallux coordination index and the hallux load ratio.

[0013] The fall prevention support device according to the present invention acquires time-series plantar pressure distribution data and time-series plantar pressure center data measured by a plantar pressure distribution meter in order to solve the problem of providing support for effectively preventing falls of the elderly and the like. It includes a measurement data acquisition unit, a plantar pressure data calculation unit that calculates time-series plantar pressure data at the big toe and the base of the big toe based on the plantar pressure distribution data, a big toe coordination index calculation unit that calculates a big toe coordination index, which is an index indicating how well the big toe can be used in a timely manner according to the body's sway, based on the plantar pressure center data and the plantar 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 applied to the big toe based on the plantar pressure data of the big toe and the plantar 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, and a training information output unit that outputs training information according to the toe function type.

[0014] The fall prevention support system according to the present invention comprises the fall prevention support device and the plantar pressure distribution meter in order to solve the problem of providing support for effectively preventing falls of the elderly and the like.

[0015] The fall prevention support method according to the present invention includes a measurement data acquisition step of acquiring time-series plantar pressure distribution data and time-series plantar pressure center data measured by a plantar pressure distribution meter in order to solve the problem of providing support for effectively preventing falls of the elderly and the like; a plantar pressure data calculation step of calculating time-series plantar pressure data at the big toe and the base of the big toe based on the plantar pressure distribution data; a big toe coordination index calculation step of calculating a big toe coordination index, which is an index indicating how well the big toe can be used in a timely manner in accordance with the body's sway, based on the plantar pressure center data and the plantar 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 applied to the big toe based on the plantar pressure data of the big toe and the plantar pressure data at the base of the big toe; a toe function type determination step of determining 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; and a training information output step of outputting training information corresponding to the toe function type.

Advantages of the Invention

[0016] According to the present invention, it is possible to provide support for effectively preventing falls of the elderly and the like.

Brief Description of the Drawings

[0017]

Figure 1

Figure 2

Figure 3

Figure 4

Modes for Carrying Out the Invention

[0018] Hereinafter, embodiments of a fall prevention support program, a fall prevention support device, a fall prevention support system, and a fall prevention support method according to the present invention will be described with reference to the drawings.

[0019] The fall prevention support system 100 of this embodiment is composed of a fall prevention support device 1 composed of a computer such as a personal computer, a tablet, or a smartphone, and a foot pressure distribution meter 10 capable of data communication with the fall prevention support device 1. Further, as shown in FIG. 1, the fall prevention support device 1 of this embodiment mainly includes a display means 2, a storage means 3, and an arithmetic processing means 4. Hereinafter, each configuration will be described.

[0020] The foot pressure distribution meter 10 measures data related to the foot pressure of the person to be measured. In this embodiment, the foot pressure distribution meter 10 is configured in a mat shape in which a plurality of pressure sensors are arranged in a grid pattern. Then, the person to be measured is made to stand still on one foot or both feet at the center of the foot pressure distribution meter 10, and the foot pressure is measured. As a result, pressure values are output from each pressure sensor at a predetermined sampling frequency during a predetermined measurement time (maximum 30 seconds).

[0021] The display means 2 is composed of a liquid crystal display, a touch panel, etc., and allows the user to visually recognize various information. In this embodiment, as will be described later, the display means 2 displays the hallux coordination index, hallux load ratio, toe function type, training information, etc. of the person to be measured.

[0022] The storage means 3 stores various data and functions as a working area when the arithmetic processing means 4 performs arithmetic 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 as shown in FIG. 1, has a program storage section 31 and a training information storage section 32.

[0023] The program storage unit 31 stores the fall prevention support program 1a of the present embodiment. Then, by executing the fall prevention support program 1a by the arithmetic processing means 4, the computer as the fall prevention support device 1 functions as each of the components described later.

[0024] Note that the usage form 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-temporary recording medium readable by a computer, such as a CD-ROM or a DVD-ROM, and directly read and executed from the recording medium. Further, the fall prevention support program 1a may be used from an external server or the like in a cloud computing method or an ASP (Application Service Provider) method.

[0025] The training information storage unit 32 stores training information according to the toe function type. In the present embodiment, for each toe function type, a training video for strengthening the toe function is created individually and uploaded to an external server or the like in advance. Then, the training information storage unit 32 stores QR codes (registered trademarks), URLs (Uniform Resource Locators), etc. for accessing each training video as training information.

[0026] The arithmetic processing means 4 is composed of a CPU (Central Processing Unit) or the like. By executing the fall prevention support program 1a installed in the program storage unit 31, as shown in FIG. 1, it functions as a measurement data acquisition unit 41, a foot pressure data calculation unit 42, a hallux coordination index calculation unit 43, a hallux load ratio calculation unit 44, a front-rear position identification unit 45, a measurement result evaluation unit 46, a display data output unit 47, a toe function type determination unit 48, and a training information output unit 49. Hereinafter, each component will be described in more detail.

[0027] The measurement data acquisition unit 41 acquires time-series plantar pressure distribution data and time-series plantar pressure center data measured by the plantar pressure distribution meter 10. In the present embodiment, the raw data (pressure values of each sensor) output from the plantar pressure distribution meter 10 is converted into time-series plantar pressure distribution data and time-series plantar pressure center data by software dedicated to the plantar pressure distribution meter 10, and then acquired by the measurement data acquisition unit 41.

[0028] Note that, as shown in FIG. 2, the plantar pressure distribution data is configured in a grid corresponding to the arrangement of the pressure sensors, and the distribution of the plantar pressure at each time (for example, 1 / 100 second) according to the sampling frequency is shown by the pressure value of each grid. Also, the center of pressure (COP) is also called the ground reaction force action point and the pressure center, and is the central point of the force distribution acting on the contact surface between the floor and the body. Then, the coordinates of this central point are acquired as the plantar pressure center data.

[0029] The plantar pressure data calculation unit 42 calculates time-series plantar pressure data at the big toe and the base of the big toe based on the plantar pressure distribution data. In the present embodiment, the plantar pressure data calculation unit 42 first extracts the plantar pressure distribution data corresponding to the big toe and the base of the big toe from the plantar pressure distribution data. For example, in the case of the plantar pressure distribution data (23 rows × 10 columns) shown in FIG. 2, by comparing with the shape of the sole of the foot, 4 grids (2 rows × 2 columns) in the 1st to 2nd rows and 8th to 9th columns can be regarded as the part corresponding to the big toe, and 4 grids (2 rows × 2 columns) in the 6th to 7th rows and 8th to 9th columns can be regarded 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 appropriately changed according to the shape of the sole of the foot of the subject.

[0030] Next, the foot pressure data calculation unit 42 identifies the pressure values of each extracted cell 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 1500 pieces of time-series data. Then, the foot pressure data calculation unit 42 calculates the sum of the same time points in the time-series data for the four cells corresponding to the big toe respectively, and sets the time-series data of the sum as the time-series foot pressure data at the big toe. Similarly, the foot pressure data calculation unit 42 calculates the sum of the same time points in the time-series data for the four cells corresponding to the base of the big toe respectively, and sets the time-series data of the sum as the time-series foot pressure data at the base of the big toe.

[0031] The big toe coordination index calculation unit 43 calculates a big toe coordination index, which is an index indicating how well the big toe is used in a timely manner in accordance with the sway of the body. In the present embodiment, the big toe coordination index calculation unit 43 calculates, based on the time-series center-of-foot-pressure data acquired by the measurement data acquisition unit 41 and the time-series foot pressure data at the big toe calculated by the foot pressure data calculation unit 42, using the cross-correlation function, the correlation coefficient between the center-of-foot-pressure data and the foot pressure data at the big toe when the time lag is zero as the big toe coordination index.

[0032] Note that since the correlation coefficient takes a value from -1 to 1, in the present embodiment, a value obtained by multiplying the absolute value of the correlation coefficient by 100 is used as the big toe coordination index.

[0033] The big toe load ratio calculation unit 44 calculates a big toe load ratio indicating the degree to which the body weight is applied to the big toe. In the present embodiment, the big toe load ratio calculation unit 44 acquires the foot pressure data at the big toe and at the base of the big toe calculated by the foot pressure data calculation unit 42. Then, the big toe load ratio calculation unit 44 calculates the ratio (big toe / base of the big toe) of the average value within the measurement time of the foot pressure data at the big toe to the average value within the measurement time of the foot pressure data at the base of the big toe as the big toe load ratio.

[0034] The front-back position specifying unit 45 specifies the front-back position of the center of foot pressure. This front-back position is for determining whether the center of foot pressure deviates from the center of the foot while the subject is standing on one foot or both feet on the foot pressure distribution meter 10. Here, the center of the foot is the intersection of the long axis of the foot (the line connecting the index finger (second finger) to the heel) and the navicular bone level.

[0035] In the present embodiment, the front-back position specifying unit 45 specifies the average value within the measurement time of the center-of-foot-pressure data acquired by the measurement data acquisition unit 41 as the front-back position of the center of foot pressure. And, with respect to the center of the front-back position (navicular bone level), the front-back position of the center of foot pressure is evaluated in five levels: considerably front, slightly front, almost centered, slightly rear, and considerably rear.

[0036] The measurement result evaluation unit 46 evaluates the measurement result. In the present embodiment, the measurement result evaluation unit 46 evaluates the load amount indicating how much force is applied to the big toe based on the big toe load ratio calculated by the big toe load ratio calculation unit 44. Also, the measurement result evaluation unit 46 evaluates the coordination indicating whether the big toe is used well based on the big toe coordination index calculated by the big toe coordination index calculation unit 43. Further, the measurement result evaluation unit 46 evaluates the fall risk indicating 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.

[0037] Specifically, for each of the load amount, coordination, and fall risk, the range of threshold values (upper limit value and lower limit value) and evaluation comments are set in advance for about five levels of evaluation steps. And the measurement result evaluation unit 46 specifies the evaluation step according to which range the calculated big toe coordination index and big toe load ratio fall into.

[0038] The display data output unit 47 outputs various display data to the display means 2. In the present embodiment, as shown in FIG. 3, the display data output unit 47 outputs, as display data, the hallux coordination index calculated by the hallux coordination index calculation unit 43, the hallux load ratio calculated by the hallux load ratio calculation unit 44, the front-rear position specified by the front-rear position specifying unit 45, and the evaluation result (load amount, coordination, fall risk) evaluated by the measurement result evaluation unit 46, etc. to the display means 2.

[0039] The toe function type discrimination unit 48 discriminates the toe function type classified according to the toe function based on the hallux coordination index and the hallux load ratio. As a result of intensive research, the inventor of the present application has found that there is a deep relationship with the cause of falling in two points: whether the hallux can be used well in timing according to the sway of the body, and whether the body weight can be applied to the hallux to brace. Therefore, the above-mentioned hallux coordination index and hallux load ratio are newly defined, and these two are used as variables to classify the toe function type.

[0040] The toe function type is classified into the following four types. Type A: A type that can use the whole toe well (there is no problem with the toe itself) Type B: A type that cannot use the toe (especially the hallux) well Type C: A type where the body weight is not on the toe (especially the hallux) Type D: A type that cannot use the whole toe well

[0041] And the toe function type discrimination unit 48 discriminates the toe function type according to the following classification criteria classified by the hallux coordination index a and the hallux 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

[0042] In addition, when formulating the above classification criteria, for about 10 young adults, the big toe coordination index and the big toe load ratio were calculated, and based on the actual state of standing on one foot, it was visually selected whether it corresponded to any of Types A to D. Then, the numerical values of the above classification criteria were determined so as to match the selected type with a probability of 80% or more. In particular, regarding the big toe load ratio, since there are people who cannot use the big toe well and keep pressing down while standing on one foot, the reference value was set as in Type D.

[0043] The training information output unit 49 outputs training information according to the toe function type. In the present embodiment, the training information output unit 49 acquires the training information corresponding 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.

[0044] In addition, in the present embodiment, as shown in FIG. 3, as training information, a QR code (registered trademark) or a hyperlink for accessing the URL of each training video is displayed on the display means 2. Further, as the training content for each toe function type instructed by each training video, for example, the following content can be adopted.

[0045] Type A: Stand on both feet and do squats. At that time, press the floor with the big toe while doing so. Do 2 sets with 10 times as one set.

[0046] Type B: Perform the following exercises (1) to (3). (1) Toe spreading exercise. Insert a finger between each toe and spread it. If the finger cannot reach, a separator that can be inserted between the fingers may be used. Do 2 sets with 15 seconds as one set. (2) Toe gripping (grip and open) exercise. Perform one grip and open in 2 seconds. Do 2 sets with 10 grips as one set. (3) Stand on one foot and keep it for 5 seconds. At this time, apply force to press the floor with the big toe. Do 2 sets with 5 seconds as one set.

[0047] Type C: Perform the following movements (1) to (3). (1) Movement of gripping the toes tightly. Do 5 sets with each set lasting 5 seconds. (2) Movement of lifting the arch of the foot. While keeping the sole of the foot on the floor, lift and hold the arch of the foot as if floating it. Do 5 sets with each set lasting 5 seconds of holding. (3) Stand on one foot and keep it for 5 seconds. At this time, apply force to press the floor with the base of the big toe. Do 2 sets with each set lasting 5 seconds.

[0048] Type D: Perform the following movements (1) to (2). (1) Improve the flexibility of the ankle. While in a standing position, perform a stretch to extend the calf muscle. Do 3 sets with each set lasting 15 seconds. (2) Movement of shifting the center of gravity of the whole body forward. Without bending the knees or hip joints, keep the posture for 5 seconds in a state where the center of gravity is shifted forward as much as possible, and then slowly return to a straight state. Do 5 sets with each set being one such action.

[0049] In addition, if it does not fall under any of Types A to D, since there is a possibility that the toes are deformed, etc., instead of training information, advice information indicating to receive a medical examination at a hospital, etc. may be displayed. Also, the training content corresponding to each type is not limited to the above content and may be changed as appropriate.

[0050] Next, the actions of the fall prevention support program 1a, the fall prevention support device 1, the fall prevention support system 100, and the fall prevention support method of the present embodiment will be described.

[0051] When using the fall prevention support device 1 of the present embodiment to support the fall prevention of the person to be measured, first, the person to be measured is made to stand still on one foot at the center of the foot pressure distribution meter 10, and the foot pressure is measured for a predetermined time. As a result, the person to be measured only needs to stand on one foot without walking or running, so even for the elderly or the like, the burden on the body is small. Also, as long as there is space to install the foot pressure distribution meter 10, measurement can be performed, and a large space for measuring walking data and running data is not required.

[0052] When the foot pressure of the person to be measured 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). With these foot pressure data, it becomes possible to evaluate whether the big toe was used well and whether the person was supported by the big toe while the person to be measured was standing on one foot.

[0053] Subsequently, 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). As a result, a big toe coordination index, which is an index indicating how well the big toe was used in a timely manner in accordance with the sway of the body, is obtained.

[0054] 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). As a result, a big toe load ratio, which indicates how much weight is applied to the big toe, is obtained.

[0055] Subsequently, the front-back position specifying unit 45 specifies the front-back position of the center of foot pressure based on the center-of-foot-pressure data acquired in step S1 (step S5: front-back position specifying step). As a result, it is determined whether the subject is applying a front load with weight on the big toe or a rear load that is common among the elderly.

[0056] Next, the measurement result evaluation unit 46 evaluates the measurement result 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). As a result, the load amount, coordination, and fall risk of the subject are evaluated simply and with high accuracy.

[0057] Next, the display data output unit 47 outputs to the display means 2 the big toe coordination index calculated in step S3, the big toe load ratio calculated in step S4, the front-back position specified in step S5, the evaluation result evaluated in step S6, etc. (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, front-back position, evaluation result, etc. of the subject.

[0058] Subsequently, the toe function type determination unit 48 determines 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 determination step). As a result, the toe function type classified according to whether the big toe can be used in a timely manner in accordance with the body sway and whether the subject can step on the big toe with weight is specified. And based on this toe function type, it becomes clear what causes the subject to be prone to falling.

[0059] Finally, the training information output unit 49 outputs the toe function type determined in step S8 and the training information corresponding to the toe function type (step S9: training information output step). As a result, as shown in FIG. 3, the toe function type of the subject and the training information corresponding to the toe function type are displayed on the display means 2. Therefore, the subject can improve the function of the toes and effectively prevent falls by performing training according to the training information.

[0060] According to the present embodiment as described above, the following operational effects are achieved. 1. By identifying the cause of a fall and presenting training according to the cause, it is possible to provide support for effectively preventing falls in the elderly and the like. 2. It is possible to calculate an appropriate big toe coordination index as an index indicating how well the big toe can be used in a timely manner according to the body sway. 3. It is possible to calculate an appropriate big toe load ratio as an index indicating how much weight is applied to the big toe. 4. It is possible to classify into toe function types according to whether the big toe can be used in a timely manner according to the body sway and whether the big toe can bear weight and brace itself. 5. It is possible to simply and highly accurately evaluate the load, coordination, and fall risk of the subject.

[0061] Note that the fall prevention support program 1a, the fall prevention support device 1, the fall prevention support system 100, and the fall prevention support method according to the present invention are not limited to the above-described embodiment and can be appropriately changed.

[0062] For example, in the above-described embodiment, the subject is made to stand on one foot on the foot pressure distribution meter 10 to measure the foot pressure data. However, the present invention is not limited to this configuration. For a subject who has difficulty standing on one foot, the measurement may be performed with both feet standing. In this case, the big toe coordination index and the big toe load ratio may be calculated separately for each foot, or the average value of each foot may be calculated.

[0063] Also, 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 the configuration is not limited to this. For example, a sentence or the like explaining the training content may be directly displayed, or a piece of paper printed with the training content may be output from a printer or the like.

Explanation of Signs

[0064] 1 Fall prevention support device 2 Display means 3 Storage means 4 Arithmetic processing means 10 Foot pressure distribution meter 31 Program storage unit 32 Training information storage unit 41 Measurement data acquisition unit 42 Foot pressure data calculation unit 43 Big toe coordination index calculation unit 44 Big toe load ratio calculation unit 45 Front-back position specifying unit 46 Measurement result evaluation unit 47 Display data output unit 48 Toe function type discrimination unit 49 Training information output unit 100 Fall prevention support system

Claims

1. 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; It allows the computer to function, 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. 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.

3. 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.

4. 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.

5. 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.

6. A fall prevention support system comprising the fall prevention support device according to claim 5 and the foot pressure distribution meter.

7. 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