JP2014223097A - Orthopaedic disease risk evaluation system and information processing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a system for evaluating a risk of causing an orthopaedic disease.SOLUTION: An information processing device comprises: means for acquiring a measurement result measured by a foot pressure distribution detection sensor; means (201) for calculating an area ratio showing a ratio of area of a sole part of a subject to area of a circumscribed rectangle of the sole part of the subject, as an evaluation value of a first index on the basis of the measurement result; means (202) for calculating a centroid distance showing a distance from an inside boundary position to the centroid position of the subject, as an evaluation value of a second index on the basis of the measurement result; means (204) for dividing a region formed by the area ratio and the centroid distance into a plurality of regions whose risks of causing orthopaedic diseases differ mutually; and means (203) for determining the subject's risk of causing an orthopaedic disease, on the basis of each of the divided regions.

Description

  The present invention relates to an orthopedic disease risk evaluation system that evaluates the risk of an orthopedic disease of a subject and an information processing apparatus that constitutes the system.

  In general, as people become older, the number of people suffering from orthopedic diseases such as knee pain, hip pain, and back pain tends to increase. Since such orthopedic diseases are accompanied by chronic pain and become seriously bedridden, it is important to treat them at an early stage.

  Examples of risk factors that cause orthopedic diseases include flat feet, hallux valgus, and O-legs. This is because when these risk factors progress, the mechanical relationship related to the joint portion is broken, and an extra force is applied to the joint portion. Among them, the flat foot, which is the arch collapse of the foot, is considered to be the main cause of hallux valgus and O-leg, so it is required to detect the progress of the flat foot early and to accurately evaluate the risk of causing orthopedic disease. Yes.

  On the other hand, conventionally, as a system for measuring the state of the foot, a system using a foot pressure distribution detection sensor, a center of gravity shake meter, or the like has been proposed (for example, see Patent Documents 1 and 2 below). By using this system, it is possible to measure the level of the subject's flat feet, the shaking of the center of gravity, and the like.

Japanese Patent Laid-Open No. 08-145826 Japanese Patent Laid-Open No. 10-228540

  However, none of the above conventional systems is intended to analyze from the viewpoint of orthopedic diseases, and therefore the risk of causing orthopedic diseases cannot be evaluated. On the other hand, in order to perform such an evaluation, it is necessary to analyze the measurement result of the foot state using an index that accurately represents the progress of the risk factor. In addition, it is desirable that such an index should not depend on characteristics (such as foot size and shape) for each subject.

  This invention is made | formed in view of the said subject, and it aims at providing the system which evaluates the risk which causes a shaping disease by measuring the state of a foot | leg part.

In order to achieve the above object, an information processing apparatus according to the present invention comprises the following arrangement. That is,
An acquisition means for acquiring a measurement result obtained by measuring a foot pressure distribution of an upright subject by a foot pressure distribution detection sensor in which a plurality of pressure sensors are two-dimensionally arranged;
Based on the measurement result, the area of the sole part of at least one foot of the subject in contact with the foot pressure distribution detection sensor is calculated, and the foot of the at least one foot of the subject is calculated. By calculating the area of the circumscribed rectangle of the back portion, a first ratio that calculates the area ratio representing the ratio of the area of the sole portion and the circumscribed rectangle of the sole portion as the evaluation value of the first index A calculation means;
Based on the measurement result, the center of gravity position of the at least one foot of the subject is calculated, and the inner boundary position of the at least one foot of the subject is extracted. A second calculating means for calculating a centroid distance representing a distance to the centroid position as an evaluation value of the second index;
A dividing means for dividing the space formed by the area ratio and the center-of-gravity distance into a plurality of regions having different risks of causing a shaping disease;
And determining means for determining a risk of causing the subject's shaping disease based on each region divided by the dividing means.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to provide the system which evaluates the risk which causes a shaping disease by measuring the state of a foot | leg part.

It is a figure which shows the external appearance structure of the shaping disease risk evaluation system concerning one Embodiment of this invention. It is a figure which shows the function structure of the information processing apparatus which comprises a shaping disease risk evaluation system. It is a figure which shows an example of the foot pressure distribution data measured in the foot pressure distribution detection sensor. It is a figure for demonstrating the parameter | index which shows progress of the risk factor which causes an orthopedic disease. It is a flowchart which shows the flow of a ground-contact area | region analysis process and a gravity center position analysis process. It is a figure for demonstrating the method of calculating the parameter | index which shows the progression of the risk factor which causes an orthopedic disease. It is the figure which plotted the evaluation value of the several subject calculated based on the parameter | index which shows the progression of the risk factor which causes an orthopedic disease. It is the figure which plotted the evaluation value of the several subject calculated based on the parameter | index which shows the progression of the risk factor which causes an orthopedic disease. It is a flowchart which shows the flow of the process for risk determination boundary surface determination. It is a figure for demonstrating each risk area | region used for a risk determination process. It is a figure for demonstrating each risk area | region used for a risk determination process. It is a flowchart which shows the flow of a risk determination process.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[First Embodiment]
<1. Appearance structure of orthopedic disease risk assessment system>
FIG. 1 is a diagram illustrating an example of an external configuration of a shaping disease risk evaluation system 100 according to the present embodiment.

  In FIG. 1, reference numeral 110 denotes a sensor unit, which is configured by two-dimensionally arranging a plurality of pressure sensors. When both feet of an upright subject are placed, the foot pressure of both feet of the subject is placed. A foot pressure distribution detection sensor unit 111 capable of detecting the distribution is disposed.

  An information processing apparatus 120 acquires foot pressure distribution data (measurement result) measured by the foot pressure distribution detection sensor unit 111 via the cable 130. Moreover, the acquired foot pressure distribution data is analyzed, and an evaluation value is calculated based on an index indicating a risk factor that causes a shaping disease.

  Further, the calculated evaluation value is analyzed to obtain a risk region used for determining the risk of causing the shaping disease, and risk determination processing is performed using the risk region.

<2. Functional configuration of information processing device of orthopedic disease risk assessment system>
FIG. 2 is a diagram illustrating a functional configuration of the information processing apparatus 120 that constitutes the orthopedic disease risk evaluation system 100. As illustrated in FIG. 2, the information processing apparatus 120 includes a control unit 200, a display unit 210, an input unit 220, and a storage unit 230.

  The control unit 200 analyzes the foot pressure distribution data measured by the foot pressure distribution detection sensor unit 111 based on an index indicating the progression of a risk factor that causes a shaping disease, thereby calculating an evaluation value. 201 and a gravity center position analysis unit 202.

  In addition, a risk determination unit 203 that performs a risk determination process using the evaluation value calculated in the ground contact area analysis unit 201 and the evaluation value calculated in the gravity center position analysis unit 202 is provided.

  Further, in order to obtain a risk region used for the risk determination process in the risk determination unit 203, the evaluation value calculated in advance in the ground contact region analysis unit 201 and the evaluation value calculated in the gravity center position analysis unit 202 are analyzed as teacher data. The evaluation value analysis unit 204 is provided.

  Note that the functions of the respective units included in the control unit 200 may be realized using dedicated hardware, or may be realized by a CPU (computer) executing a program for realizing these functions. Good.

  The display unit 210 displays the foot pressure distribution data measured by the foot pressure distribution detection sensor unit 111, displays the determination result in the risk determination unit 203 of the control unit 200, and the analysis content in the evaluation value analysis unit 204. . The input unit 220 inputs necessary data and inputs instructions when each unit of the control unit 200 executes processing.

  The storage unit 230 stores various data transmitted from the sensor unit 110 and stores information on the risk area calculated by the evaluation value analysis unit 204. In addition, when the function of each unit included in the control unit 200 is realized by a CPU (computer) executing a program, the program is stored in the storage unit 230 so as to be readable.

<3. Foot pressure distribution data>
FIG. 3 is a diagram illustrating an example of foot pressure distribution data measured by the foot pressure distribution detection sensor unit 111.

  3A is a diagram showing foot pressure distribution data of a healthy person and barycentric position data calculated based on the foot pressure distribution data. FIG. 3B is a diagram showing foot pressure distribution data of a flat foot person. It is the figure which displayed the gravity center position data calculated based on this foot pressure distribution data. In the center-of-gravity position data, the star on the right indicates the center of gravity of the right foot, and the star on the left indicates the center of gravity of the left foot. The center cross mark indicates the position of the center of gravity of both feet.

  As apparent from FIG. 3, the ground contact area of the sole differs greatly between a healthy person and a flat foot person. In other words, in the case of a healthy person, only the part of the toe side and the part of the heel side are grounded and the center part is not grounded in the whole sole, whereas in the case of a flat footed person In the entire sole, not only a part on the toe side and a part on the heel side but also the outer side of the central part is grounded. Therefore, it can be said that it is effective to pay attention to the ground contact area (ground contact area) of the sole in order to represent the progress of the flat foot, which is a risk factor causing the orthopedic disease.

  Furthermore, the right and left center-of-gravity positions are different between a normal person and a flat-foot person. FIG. 4 is a diagram schematically showing the difference between the left and right center of gravity positions of the healthy person and the flat foot person shown in FIG. As shown in FIG. 4, the position of the center of gravity of the left foot and the position of the center of gravity of the right foot are shifted outward in the case of a flat footer. For this reason, it can be said that it is effective to pay attention to the shift of the center of gravity of each foot in the outward direction in order to represent the progress of the flat foot, which is a risk factor causing the orthopedic disease.

<4. Explanation of processing in the contact area analysis unit and the gravity center position analysis unit>
Next, the flow of the contact area analysis process executed by the contact area analysis unit 201 using the foot pressure distribution data shown in FIG. 3 and the flow of the center of gravity position analysis process executed by the center of gravity position analysis unit 202 are shown in FIG. And it demonstrates using FIG.

  FIG. 5A is a flowchart showing the flow of the ground contact area analysis process executed by the ground contact area analysis unit 201. In step S501, among the pressure values of each pixel included in the foot pressure distribution data, a pixel having a pressure value equal to or higher than a predetermined threshold (a pixel corresponding to the ground region; see the foot sole portion 601 in FIG. 6A). Extract.

  In step S502, a circumscribed rectangle (see 602 in FIG. 6A) is calculated based on the pixel position information extracted in step S501.

  In step S503, the area B of the circumscribed rectangle 602 is calculated, and in step S504, the area A of the sole portion 601 is calculated.

  In step S505, the ratio of the area B of the circumscribed rectangle calculated in steps S503 and S504 to the area A of the sole part (area ratio = A / B × 100) is calculated, so that the ground contact area of the sole part is calculated. Normalize.

  As described above, in this embodiment, after paying attention to the contact area effective for representing the progress of the flat foot, which is a risk factor causing the orthopedic disease, it depends on the characteristics (foot size, shape, etc.) for each subject. In order to prevent this, the ground contact area is normalized by dividing it by the circumscribed rectangular area, and this is used as one of the indices indicating the progression of the risk factor causing the orthopedic disease.

  FIG. 5B is a flowchart showing the flow of the centroid position analysis process executed by the centroid position analysis unit 202. When the process is started, in step S511, the pressure of each pixel included in the foot pressure distribution data is displayed. Among the values, a pixel having a pressure value equal to or greater than a predetermined threshold (a pixel corresponding to the ground region; see the sole portion 611 in FIG. 6B) is extracted.

  In step S512, the barycentric position (see 612 in FIG. 6B) is calculated based on the pixel position information and pressure value extracted in step S511.

  In step S513, the inner boundary position 613 and the outer boundary position 614 of the sole portion 611 are extracted based on the pixel position information extracted in step S511, and the foot width Xmax is calculated.

  In step S514, the distance (center of gravity distance) X from the inner boundary position 613 of the sole portion 611 extracted in step S513 to the center of gravity position 612 calculated in step S512 is calculated.

  In step S515, the center-of-gravity distance is normalized by calculating the ratio (distance ratio = (X / Xmax) × 100) between the foot width Xmax and the center-of-gravity distance X calculated in steps S513 and S514.

  As described above, in the present embodiment, after paying attention to the position of the center of gravity that is effective for representing the progress of the flat foot, which is a risk factor causing the shaping disease, it depends on the characteristics (foot size, shape, etc.) for each subject. In order to prevent this from happening, it is normalized by dividing the distance of the center of gravity by the foot width, and this is used as one of the indices indicating the progression of risk factors that cause the shaping disease.

<5. Explanation of evaluation value analysis processing>
Next, the evaluation value analysis process executed in the evaluation value analysis unit 204 will be described. First, we examine the validity of the index used for evaluation value analysis to indicate the progression of risk factors that cause orthopedic diseases.

(1) Validity of index (a) Validity of using area ratio and center-of-gravity distance as indices Figure 7 shows the ratio of area ratio on the horizontal axis as an index indicating the progression of risk factors that cause orthopedic diseases. The result of plotting the evaluation values of a plurality of subjects when the center of gravity distance is taken on the axis is shown.

  If the index indicating the progression of the risk factor causing the orthopedic disease is appropriate, the plotted evaluation value will approach a straight line. Therefore, the validity of the index can be judged by performing linear regression analysis on the plotted evaluation values and comparing the determination coefficients.

  In the example of FIG. 7, a regression line indicated by 701 was obtained, and the determination coefficient was calculated to be 0.3619. For reference, for the same subject, the same linear regression analysis was performed by taking the area of the sole part on the horizontal axis and the center of gravity distance on the vertical axis, and the coefficient of determination was calculated to be 0.1346. It was done.

  Therefore, using the area ratio and the center of gravity distance as an index indicating the progression of risk factors that cause orthopedic diseases is a more appropriate index than using at least the area of the sole and the center of gravity distance. it can.

(B) Validity of using the area ratio and the distance ratio as indicators FIG. 8 shows the area ratio on the horizontal axis and the distance ratio on the vertical axis as an index indicating the progression of risk factors that cause the shaping disease. The example of the result of having plotted the evaluation value of the several subject in case is shown.

  In the example of FIG. 8, a regression line indicated by 801 is obtained, and the determination coefficient is calculated as 0.3847. That is, when the horizontal axis is the area of the sole part and the vertical axis is the center of gravity distance (0.1346), the horizontal axis is the area ratio, and the vertical axis is the center of gravity distance The coefficient of determination higher than any of the coefficient of determination (0.3619) could be obtained.

  Therefore, using the area ratio and the distance ratio as an index indicating the progression of the risk factor causing the orthopedic disease uses at least the area of the sole portion and the center of gravity distance, and uses the area ratio and the center of gravity distance. It can be said that it is a more appropriate index than the case.

  From the above, the area ratio and the center of gravity distance, and the area ratio and the distance ratio will be used below as indices indicating the progression of the risk factor causing the orthopedic disease.

(2) Flow of evaluation value analysis process Next, a process in the case of performing an evaluation value analysis process using the above two sets of indices evaluated for validity (specifically, for determining a risk judgment boundary surface) The flow of processing will be described. FIG. 9 is a diagram illustrating a flow of evaluation value analysis processing (processing for determining a risk determination boundary surface) executed by the evaluation value analysis unit 204.

  In the vertical direction risk determination boundary surface (1001, 1101) determination process, in step S901, the evaluation values of the group diagnosed as the healthy subject group and the flat foot are read out, respectively, and in step S902, the intergroup variance value of each group, Calculate the variance value.

  In step S903, a longitudinal risk determination boundary surface is determined by determining a position where the intergroup variance value / intragroup variance value is maximized.

  Subsequently, in the lateral risk determination boundary surface (1002, 1102) determination process, in step S904, the evaluation values of the group of healthy subjects and the group with poor joint alignment, such as the O-leg, are read out, and in step S905, between the groups of each group The variance value and the within-group variance value are calculated.

  In step S906, a lateral risk determination boundary surface is determined by determining a position where the intergroup variance value / intragroup variance value is maximized.

  As a result of the above processing, the region is divided into four (1011 to 1014, 1111 to 1114) by the vertical risk determination boundary surfaces (1001, 1101) and the horizontal risk determination boundary surfaces (1002, 1102) (by each boundary surface). As a result of the division, the ratio between the variance value in the region of the evaluation value included in each region and the variance value between the regions is maximized). Information regarding the determined risk area is stored in the storage unit 230.

<6. Flow of risk assessment process>
Next, the flow of risk determination processing in the risk determination unit 203 will be described. FIG. 12 is a diagram showing the flow of risk determination processing in the risk determination unit 203, and FIG. 12A shows the case where the area ratio and the center-of-gravity distance are used as indices indicating the progression of risk factors that cause the shaping disease. FIG. 12B shows the flow of the risk determination process when the area ratio and the distance ratio are used as an index indicating the progression of the risk factor causing the shaping disease. FIG.

  As shown in FIG. 12A, in step S1201, the foot pressure distribution data measured by the foot pressure distribution detection sensor unit 111 is calculated by analyzing the ground pressure region analysis unit 201 and the gravity center position analysis unit 202. The area ratio and the center-of-gravity distance are read out and plotted in the evaluation value space shown in FIG.

  In step S1202, the area plotted in step S1201 is identified, and in step S1203, the risk is determined according to the identified area. Specifically, when the plotted area is identified as the risk area 1011, it is determined that the subject has a low risk of causing the shaping disease. On the other hand, when the plotted region is identified as the risk region 1012 or 1013, it is determined that the risk that the subject causes the shaping disease is moderate. Further, when the plotted area is identified as the risk area 1014, it is determined that the subject has a high risk of causing the shaping disease.

  Also, as shown in FIG. 12B, in step S1211, the ground pressure region analysis unit 201 and the gravity center position analysis unit 202 analyze the foot pressure distribution data measured by the foot pressure distribution detection sensor unit 111. The area ratio and the distance ratio calculated in (1) are read out and plotted in the evaluation value space shown in FIG.

  In step S1212, the area plotted in step S1211 is identified, and in step S1213, the risk is determined according to the identified area. Specifically, when the plotted region is identified as the risk region 1111, it is determined that the subject has a low risk of causing the shaping disease. On the other hand, when the plotted area is identified as the risk area 1112 or 1113, it is determined that the risk that the subject causes the shaping disease is moderate. Further, when the plotted region is identified as the risk region 1114, it is determined that the subject has a high risk of causing the shaping disease.

  As is clear from the above description, in the orthopedic disease risk evaluation system according to the present embodiment, the area ratio and the center-of-gravity distance (or distance) based on the foot pressure distribution data as an index indicating the progression of the risk factor causing the orthopedic disease. Ratio). Furthermore, the evaluation value space formed by the area ratio and the center-of-gravity distance (or distance ratio) is configured to be divided into a plurality of regions having different risks based on the variance of the evaluation values for a plurality of subjects. . This made it possible to evaluate the risk of causing orthopedic diseases.

[Second Embodiment]
In the first embodiment, the distance from the inner boundary position of the sole portion to the center of gravity position is used to determine the distance ratio as an index indicating the progression of the risk factor causing the orthopedic disease (i.e., Lateral distance ratio), the present invention is not limited to this. For example, the distance from the heel side boundary position to the center of gravity position of the sole portion may be used (that is, the distance ratio in the vertical direction may be used). Alternatively, a vector sum of the distance ratio in the horizontal direction and the distance ratio in the vertical direction may be used.

[Third Embodiment]
In the first embodiment, the evaluation value is calculated for one foot among the foot pressure distribution data measured by the foot pressure distribution detection sensor unit 111, and the risk determination process is performed. For example, the evaluation value may be calculated for both feet and risk determination processing may be performed, or the evaluation value calculated for each foot is weighted and summed. Then, risk determination processing may be performed.

100: Orthopedic disease risk evaluation system, 110: Sensor unit, 111: Foot pressure distribution detection sensor unit, 120: Information processing device, 130: Cable

Claims (5)

An acquisition means for acquiring a measurement result obtained by measuring a foot pressure distribution of an upright subject by a foot pressure distribution detection sensor in which a plurality of pressure sensors are two-dimensionally arranged;
Based on the measurement result, the area of the sole part of at least one foot of the subject in contact with the foot pressure distribution detection sensor is calculated, and the foot of the at least one foot of the subject is calculated. By calculating the area of the circumscribed rectangle of the back portion, a first ratio that calculates the area ratio representing the ratio of the area of the sole portion and the circumscribed rectangle of the sole portion as the evaluation value of the first index A calculation means;
Based on the measurement result, the center of gravity position of the at least one foot of the subject is calculated, and the inner boundary position of the at least one foot of the subject is extracted. A second calculating means for calculating a centroid distance representing a distance to the centroid position as an evaluation value of the second index;
A dividing means for dividing the space formed by the area ratio and the center-of-gravity distance into a plurality of regions having different risks of causing a shaping disease;
An information processing apparatus comprising: determination means for determining a risk of causing a subject's shaping disease based on each region divided by the dividing means. An acquisition means for acquiring a measurement result obtained by measuring a foot pressure distribution of an upright subject by a foot pressure distribution detection sensor in which a plurality of pressure sensors are two-dimensionally arranged;
Based on the measurement result, the area of the sole part of at least one foot of the subject in contact with the foot pressure distribution detection sensor is calculated, and the foot of the at least one foot of the subject is calculated. By calculating the area of the circumscribed rectangle of the back portion, a first ratio that calculates the area ratio representing the ratio of the area of the sole portion and the circumscribed rectangle of the sole portion as the evaluation value of the first index A calculation means;
Based on the measurement result, the center of gravity position of the at least one foot of the subject is calculated, and the inner boundary position of the at least one foot of the subject is extracted. A center-of-gravity distance representing a distance to the center-of-gravity position is calculated, and a distance ratio representing a ratio between the center-of-gravity distance of the subject and the foot width of the at least one foot of the subject is calculated as a second index. A second calculating means for calculating as an evaluation value;
A dividing unit that divides the space formed by the area ratio and the distance ratio into a plurality of regions having different risks of causing a shaping disease;
An information processing apparatus comprising: determination means for determining a risk of causing a subject's shaping disease based on each region divided by the dividing means. The dividing means includes
Using the measurement results measured by the foot pressure distribution detection sensor for a plurality of subjects, the evaluation values calculated for the first and second indices are plotted in the space, and each divided The information processing apparatus according to claim 1, wherein the information processing apparatus is divided into the plurality of areas based on a variance value in the area and a variance value between the divided areas. The information processing apparatus according to any one of claims 1 to 3,
A orthopedic disease risk evaluation system comprising: a plurality of pressure sensors arranged two-dimensionally, and a foot pressure distribution detection sensor configured to detect a foot pressure distribution of an upright subject.   The program for functioning a computer as each means of the information processing apparatus of any one of Claims 1 thru | or 3.