WO2023190627A1 - Lesion healing determination device, lesion healing determination method, lesion healing determination program, and computer-readable non-transitory storage medium - Google Patents

Abstract

An information processing device (16) acquires the local impedance at a lesion of a subject, and determines the state of the lesion, such as inflammation, on the basis of the local impedance. The healing of a lesion is typically affected by the muscle mass of the patient. Meanwhile, the muscle mass of the patient is unlikely to be affected by a change in a locally occurring lesion. Accordingly, the information processing device (16) predicts a healing time for the lesion on the basis of the determined state of the lesion and the muscle mass of the subject.

Description

Affected area recovery determination device, affected area recovery determination method, affected area recovery determination program, and computer-readable non-temporary storage medium Cross-reference of related applications

This application claims the benefit of patent application number 2022-59075 filed in Japan on March 31, 2022, and the contents of that application are incorporated herein by reference.

The present disclosure relates to an affected area recovery determination device, an affected area recovery determination method, and an affected area recovery determination program.

When a surgical operation is performed, the patient becomes unable to move freely due to inflammation in the affected area, or the patient's muscle mass decreases due to being bedridden for a long time. Furthermore, the patient may move as if to protect the affected area, resulting in fatigue in the area on the opposite side of the affected area. Therefore, a certain period of rehabilitation is required to return the patient's life to the same level as before the surgery. Therefore, in order to quickly return to the previous standard of living, a rehabilitation plan is drawn up based on the recovery status of the affected area and the overall muscle mass.

Here, Non-Patent Document 1 (Hidetaka Wakabayashi, "Rehabilitation Nutrition Pocket Guide", 1st edition, JEF Corporation, September 2014, p.9-10) states that blood tests are performed on patients. It is described that the value of CRP (C-reactive protein) is determined by this method, and that CRP is used as an indicator of acute inflammation such as surgery, trauma, bone fracture, and infection.

When the body is undergoing an invasion such as inflammation, the period can be divided into a catabolic period and an anabolic period. Specifically, when CRP is below a predetermined threshold, the affected area is determined to be in the anabolic phase, and when it exceeds the threshold, the affected area is determined to be in the catabolic phase. During the catabolic phase, the affected body attempts to break down muscle or fat to obtain the energy it needs. For this reason, even if energy is administered to the patient during the catabolic phase, muscle decomposition cannot be suppressed, so the patient's muscle mass decreases and the patient becomes malnourished. The assimilation period is a period of assimilation and wound repair during the recovery process when biological invasion occurs due to surgery or trauma.

However, although CRP can determine the condition of the affected area, it cannot predict the recovery time of the affected area. Furthermore, since the determination based on CRP also reflects abnormalities in the entire body of the person to be measured, accuracy cannot be obtained from the viewpoint of determining the condition of the affected area.

Therefore, an object of the present disclosure is to provide an affected area recovery determination device, an affected area recovery determination method, and an affected area recovery determination program that can predict the recovery time of the affected area.

An affected area recovery determination device according to a first aspect of the present disclosure includes an acquisition unit that acquires an affected area index that reflects the condition of the affected area of a subject, and a condition of the affected area based on the affected area index acquired by the acquisition unit. and a prediction means for predicting the recovery time of the affected area based on the condition of the affected area determined by the affected area status determining means and the whole body index of the subject.

Research has shown that the recovery of the affected area is influenced by the patient's overall body composition and weight, which are indicators of the patient's whole body. On the other hand, the patient's systemic index is not easily affected by locally occurring changes in the affected area. Therefore, this configuration predicts the recovery time of the affected area based on the current condition of the affected area and the whole body index. Thereby, this configuration can accurately predict the recovery time of the affected area.

The affected area recovery determination device of the second aspect may be the affected area recovery determination device of the first aspect, in which the affected area index may be the impedance of the part of the subject including the affected area. According to this configuration, the state of the affected area is determined based on the impedance obtained from the potential difference by passing a current through a local part of the subject, so that the position of the affected area and the state of the affected area can be determined.

The affected area recovery determining device of the third aspect may be the affected area recovery determining device of the first aspect or the second aspect, in which the whole body index may be the whole body muscle mass of the subject. According to this configuration, it is possible to accurately predict the recovery time of the affected area.

In the affected area recovery determining device according to the fourth aspect, in the affected area recovery determining device according to the third aspect, the prediction means may predict the recovery time so that the recovery speed becomes faster as the whole body muscle mass of the subject increases. . According to this configuration, it is possible to accurately predict the recovery time of the affected area.

The affected area recovery determining device according to a fifth aspect is the affected area recovery determining device according to any one of the first to fourth aspects, and determines the predicted recovery state of the affected area and the affected area state based on the recovery time predicted by the prediction means in the past. A recovery state determining means may be provided for determining the recovery state of the affected area based on a difference from the current state of the affected area determined by the means. According to this configuration, it can be determined whether the affected area is properly recovering.

The affected area recovery determining device of the sixth aspect is the affected area recovery determining device of the fifth aspect, wherein the recovery state determining means may determine the recovery state of the affected area and the recovery state of the whole body index. The whole body index is, for example, whole body muscle mass or body weight. Depending on the condition of the affected area of the person being measured, the person being measured may need to rest. As a result, whole body indicators such as whole body muscle mass and body weight may decrease, so it is necessary to restore these whole body indicators as well. Therefore, according to this configuration, since the recovery state of the affected area and the recovery state of the whole body index are acquired at the same time, it is possible to determine whether or not the subject is appropriately recovering.

The affected area recovery determining device according to the seventh aspect is the affected area recovery determining device according to the fifth or sixth aspect, and may further include an advice generation unit that generates advice regarding recovery of the affected area based on the determination result of the recovery state determining means. good. According to this configuration, it is possible to create a more appropriate rehabilitation plan.

The method for determining recovery of an affected area according to the eighth aspect includes a first step of acquiring an affected area index that reflects the condition of the affected area of the subject, and determining the condition of the affected area based on the affected area index acquired in the first step. The method includes a second step of determining, and a third step of predicting the recovery time of the affected area based on the condition of the affected area determined in the second step and the whole body index of the subject.

The affected area recovery determination program of the ninth aspect is configured to cause a computer of an information processing device that acquires an affected area index that reflects the condition of the affected area of the subject by an acquisition means to an affected area condition determining means for determining the condition of the affected area; and a prediction means for predicting the recovery time of the affected area based on the condition of the affected area determined by the affected area condition determining means and the whole body index of the subject. Make it work.

According to the present disclosure, it is possible to predict the recovery time of the affected area.

FIG. 1 is a schematic configuration diagram of an affected area recovery determination system according to an embodiment. FIG. 2 is a functional block diagram of the affected area determination device according to the embodiment. FIG. 3 is a functional block diagram of the information processing device according to the embodiment. FIG. 4 is a schematic diagram showing the relationship between recovery of the affected area and whole body muscle mass according to the embodiment. FIG. 5 is a schematic diagram showing the difference between the predicted recovery state and the current recovery state of whole body muscle mass and inflammation degree according to the embodiment. FIG. 6 is a schematic diagram showing an example of advice according to the embodiment. FIG. 7 is a schematic diagram showing an example of advice according to the embodiment. FIG. 8 is a flowchart showing the flow of bioelectrical impedance/weight acquisition processing according to the embodiment. FIG. 9 is a flowchart 10 showing the flow of local impedance acquisition processing according to the embodiment. FIG. 10 is a flowchart showing the flow of the affected area state determination process according to the embodiment.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. Note that the embodiment described below shows an example of implementing the present disclosure, and the present disclosure is not limited to the specific configuration described below. In implementing the present disclosure, specific configurations depending on the embodiments may be adopted as appropriate.

FIG. 1 is a schematic configuration diagram of the affected area recovery determination system 10 of this embodiment. The affected area recovery determination system 10 includes an affected area determination device 12 , a body composition meter 14 , and an information processing device 16 . Note that the size of each device in FIG. 1 does not reflect the actual size.

The affected area determining device 12 determines the state of the affected area of the subject by passing a current through any part of the subject and locally measuring bioelectrical impedance, which is electrical resistance. For example, if inflammation, a tumor, a wound, or other abnormality occurs in a certain area of the subject, moisture may accumulate in the affected area, the temperature of the affected area may rise, or the state of the cells may change. It may be different from the normal part. Therefore, the bioelectrical impedance of a region including an affected region is different from that of a normal region without an affected region, so the presence or absence of an affected region and the state of the affected region can be determined based on the bioelectrical impedance. In the following description, the bioelectrical impedance calculated by the affected area determination device 12 will be referred to as local impedance.

Note that the arbitrary part to which the current is applied is, for example, a part such as an arm, leg, abdomen, or chest, or a region narrower than these parts (for example, in the case of an arm, the forearm, elbow, shoulder, etc.). be. That is, in this embodiment, as an example, the current path length is about the length of an arm or a leg at most. Further, any part to which the current is applied, in other words, the part including the affected part, is estimated in advance by the person to be measured or a medical professional. Then, the affected area determining device 12 determines the exact position of the affected area and the state of the affected area by passing a current through such an arbitrary area.

The affected area determination device 12 of this embodiment includes a measurement section 20 and a main body section 22. Note that the measurer who measures the local impedance using the affected area determination device 12 is the person to be measured, a medical worker, or the like.

The measuring section 20 can be placed at any part of the subject, and is provided with two electrode sections 24, each consisting of a current electrode 24A and a voltage electrode 24B. The measurement unit 20 of this embodiment can be worn by a person to be measured, and is, for example, a bandage wrapped around the person to be measured.

The measurement unit 20 is not limited to a bandage, but may be made of a highly flexible material that can be worn on the person to be measured, such as a belt, arm cover, leg cover, socks, innerwear, clothes, or a wristband-like wearable device. . Furthermore, the measuring section 20 may be shaped so that it is not worn on the body, but is held by a person who is measuring and presses the electrode section 24 against the body of the person to be measured.

The shape and material of the measurement unit 20 are not limited as long as it can measure the local impedance of any part of the person to be measured. The shape and material of the measurement unit 20 are selected depending on the location of the affected area of the person to be measured, lifestyle, local impedance measurement method, and the like. Note that if the local impedance is to be periodically measured at the same position on the person being measured, for example, the measurement unit 20 may be a bandage or the like, and the electrode unit 24 may be fixed to the person being measured. It is preferable to prevent it from shifting. On the other hand, when measuring the local impedance of a person to be measured at a plurality of locations, it is preferable that the measurement unit 20 has a shape that allows the measurement person to grasp it and easily change the position of the electrode unit 24 with respect to the person to be measured.

The current electrode 24A and the voltage electrode 24B are arranged in the measurement section 20 so as to be in contact with the body of the person to be measured. The current electrode 24A and the voltage electrode 24B are made of metal, for example, but are not limited to this, and may be made of any conductive material, such as gel or fiber.

Note that the position of the electrode portions 24 in the measurement unit 20 may be adjustable, thereby making it possible to change the distance between the electrode portions 24 (hereinafter referred to as “inter-electrode distance”). By changing the distance between the electrodes, the position and depth of the affected area can be determined in detail. That is, when the distance between the electrodes is short, a narrow area on the surface of the subject is measured, so the position of the affected area can be determined in more detail. Moreover, the shorter the distance between the electrodes, the more the condition of the affected area at a shallow position on the body of the person to be measured can be determined. On the other hand, when the distance between the electrodes is long, a wide area of the surface of the subject is measured, so the condition of the affected area can be determined with fewer measurements. Furthermore, the longer the distance between the electrodes, the more the condition of the affected area at a deeper position in the body can be determined. The affected area determination device 12 stores the inter-electrode distance, and uses the inter-electrode distance to calculate local impedance and determine the depth of the affected area.

The main body section 22 measures the local impedance of any part of the body of the subject by passing a current through the current electrode 24A and detecting the voltage using the voltage electrode 24B. The main body section 22 then performs a process of determining the state of the affected area in the area based on the local impedance.

The measuring section 20 and the main body section 22 are electrically connected by a flexible cable 30. Thereby, the measurement unit 20 can be placed at any part of the body of the person to be measured. Further, the measuring section 20 and the cable 30 are detachably connected by a connector 32. This allows measurement sections 20 of various shapes to be connected to the main body section 22.

The main body 22 also includes a monitor 26 and a power switch 28. The monitor 26 is, for example, a touch panel display, and accepts input of various setting values and displays measurement results and the like. The power switch 28 accepts an operation to turn on and turn off the power to the main body section 22 .

The body composition meter 14 obtains the bioimpedance of the subject from the potential difference measured by passing a current through the subject, and calculates the body composition of the subject. The body composition meter 14 is also equipped with a weight scale, and is capable of measuring the weight of the subject.

The body composition meter 14 of this embodiment includes a hand grip section 40 that the person to be measured holds with both hands, and a platform 42 on which the person to be measured stands. The hand grip section 40 and the mounting table 42 are electrically connected by a cable 44, for example.

The hand grip section 40 includes a hand electrode 40R that is held with the right hand and a hand electrode 40L that is held with the left hand. The platform 42 includes a sole electrode 46R that contacts the sole of the right foot and a sole electrode 46L that contacts the sole of the left foot.

The body composition meter 14 calculates the bioimpedance of the whole body and each body part of the person to be measured by measuring the potential difference generated in the current path of the hand electrodes 40R, 40L and the sole electrodes 46R, 46L. The body composition meter 14 then calculates the body composition of the subject based on user information such as the subject's bioimpedance, weight, age and gender of the subject. The body composition calculated by the body composition meter 14 includes fat percentage, fat mass, fat-free mass, muscle mass, visceral fat mass, visceral fat level, visceral fat area, subcutaneous fat mass, basal metabolic rate, bone mass, These include body water percentage, BMI, intracellular fluid volume, and extracellular fluid volume.

The body composition meter 14 also includes a monitor 48 for displaying measurement results.

The information processing device 16 functions as an affected area recovery determination device that executes an affected area recovery determination process, as will be described in detail later. The information processing device 16 is, for example, a laptop personal computer equipped with a monitor 49, but is not limited to this, and may be a portable information processing device such as a tablet terminal, a desktop personal computer, or the like.

The information processing device 16 of this embodiment is capable of transmitting and receiving data with the affected area determining device 12 and the body composition meter 14, and receives the results of impedance measurement by the affected area determining device 12 and body composition meter 14. Note that data transmission and reception is performed by, for example, short-range communication such as BLE (Bluetooth Low Energy).

FIG. 2 is a functional block diagram of the affected area determination device 12 of this embodiment. The main body 22 of the affected area determination device 12 includes a frequency setting unit 50, a current application control unit 52, a voltage detection unit 54, a local impedance calculation unit 56, an affected area state determination unit 58, a monitor control unit 60, a storage unit 62, and a communication unit. 64. Each function executed by each unit shown in FIG. 2 may be executed by a calculation unit included in the affected area determination device 12 by starting a program, for example, or by individual hardware such as an ASIC (Application Specific Integrated Circuit). It may also be realized by software.

The frequency setting section 50 sets the frequency of the current flowing between the electrode sections 24 (hereinafter referred to as "current frequency"). The current frequency in this embodiment can be arbitrarily set within a predetermined frequency width, and among the settable frequencies, a relatively low frequency is referred to as a low frequency, and a relatively high frequency is referred to as a high frequency. Note that the frequency range of this embodiment is, for example, about 1 kHz to 3 MHz.

The current application control unit 52 controls turning on and off of the current set by the frequency setting unit 50. Thereby, when the current is turned on, a current flows from the current electrode 24A in contact with the person to be measured to the person to be measured.

The voltage detection unit 54 detects the voltage generated by passing a current through the current electrode 24A via the voltage electrode 24B.

Based on the voltage detected by the voltage detection unit 54, the local impedance calculation unit 56 calculates the local impedance, which is the electrical resistance between the electrode parts 24 in contact with the subject. This local impedance becomes an affected area index that reflects the condition of the affected area of the subject.

The affected area state determination section 58 determines the state of the region between the electrode sections 24 based on the local impedance calculated by the local impedance calculation section 56. Specifically, the affected area state determination unit 58 determines the state of the affected area based on the local impedance including the affected area and a predetermined reference value. The predetermined reference value is, for example, the local impedance of a region of the subject that is not affected. For example, if the affected area is on the right arm, the local impedance of the left arm is measured as the reference value. Note that in the following explanation, the local impedance of the affected area will be referred to as affected area impedance.

It should be noted that the affected part state determination unit 58 does not obtain the reference value by measurement, but reads out the reference value corresponding to the affected part of the subject from a table showing the normal impedance of each part to be used as the reference value, for example. The condition of the affected area may also be determined. Note that the table is stored in the storage unit 62.

Then, the affected area state determination unit 58 determines the state of the affected area based on the affected area impedance and the reference value. For example, if the affected area is an inflammation of a site where a surgery has been performed on the person to be measured, the affected area state determination unit 58 calculates the difference between the affected area impedance and the reference value, and sets the difference as the degree of inflammation of the affected area. That is, the larger the difference, the higher the degree of inflammation. On the other hand, the smaller the difference, the smaller the degree of inflammation, and if the difference is less than a predetermined value, it is determined that the inflammation has healed.

The monitor control unit 60 controls the monitor 26 to display the determination result etc. by the affected area state determination unit 58.

The storage unit 62 is, for example, a non-volatile memory, and stores various data, programs used for various processes, determination results by the affected area state determination unit 58, and the like.

The communication unit 64 transmits and receives data to and from the information processing device 16 and the like.

FIG. 3 is a functional block diagram of the information processing device 16 of this embodiment.

The information processing device 16 includes a communication section 70, a calculation section 72, and a storage section 74.

The communication unit 70 sends and receives data to and from the affected area determination device 12, body composition analyzer 14, other information processing devices, other devices, and the like. That is, the communication unit 70 of the present embodiment acquires the local impedance, which is the affected area index, of the part of the subject including the affected area measured by the affected area determination device 12. Furthermore, the communication unit 70 functions as an acquisition unit that acquires the bioimpedance and weight of the subject measured by the body composition meter as an overall index to be described later.

The calculation unit 72 is a CPU (Central Processing Unit) or the like, and controls the operation of the information processing device 16.

The storage unit 74 is a nonvolatile storage device or the like, and stores various data and programs used for various processes. The storage unit 74 of this embodiment stores a program (application software) for executing the affected area recovery determination process, various data received from the affected area determination device 12 and body composition meter 14, the age, gender, height, and Stores user information such as body type.

The calculation unit 72 includes an affected area state determination unit 80, a body composition calculation unit 82, a recovery prediction unit 84, a recovery state determination unit 86, and an advice generation unit 88 in order to perform the affected area recovery determination process.

The affected area state determining unit 80 determines the state of the affected area of the subject based on the local impedance acquired by the communication unit 70. The affected area state determination unit 80 has the same function as the affected area state determination unit 58 included in the affected area determination device 12, and the affected area state determination unit 80 of this embodiment calculates the degree of inflammation as a state determination of the affected area.

Here, we will explain how to determine the condition when inflammation is occurring as the affected area.

First, when the affected area is inflamed, moisture accumulates in the inflamed area, which reduces local impedance. Then, as the inflammation recovers, the accumulated water decreases, so the local impedance gradually increases.

Additionally, when inflammation occurs, local edema occurs in the affected area. When local edema occurs, the amount of extracellular fluid increases, so the ratio between the amount of intracellular fluid and the amount of extracellular fluid changes. The local impedance measured by low-frequency current particularly reflects the extracellular fluid volume. On the other hand, local impedance measured by high-frequency current reflects the extracellular and intracellular fluid volumes.

Therefore, the state of inflammation can be determined (estimated) by the affected area determining device 12 measuring the local impedance including the affected area using currents of different frequencies. Specifically, variables such as Z5, Z250, Z5/Z250, and X/R are used as explanatory variables. For this reason, the affected area determination device 12 measures the affected area multiple times at different frequencies. Note that Z5 is a local impedance measured at a current frequency of 5 kHz, and Z250 is a local impedance measured at a current frequency of 250 kHz. Also, X is local resistance and R is reactance.

The body composition calculation unit 82 calculates the body composition of the subject based on user information such as bioimpedance, weight, age and gender of the subject received from the body composition meter 14.

The recovery prediction unit 84 predicts the recovery time of the affected area based on the condition of the affected area determined by the affected area status determination unit 80 and the subject's whole body index. The condition of the affected area in this embodiment is, for example, the degree of inflammation as described above. An example of the subject's whole body body composition used to predict the recovery time of the affected area is the whole body muscle mass. Note that other body compositions such as whole body fat amount or body weight may be used as the whole body index used to predict the recovery time of the affected area.

Here, the recovery of the affected area is generally influenced by the patient's whole body composition (for example, whole body muscle mass) and whole body indicators such as body weight. On the other hand, the patient's systemic indicators are less affected by locally occurring inflammation in the affected area. Therefore, in this embodiment, the recovery time of the affected area is predicted based on the current condition of the affected area and the whole body index. This makes it possible to accurately predict when the affected area will recover.

FIG. 4 is a schematic diagram showing the relationship between recovery of the affected area and whole body muscle mass. In FIG. 4, the affected area of the subject is the surgical site, and the degree of inflammation in the affected area is the highest immediately after the surgery. As shown in FIG. 4, the greater the total body muscle mass, the faster the affected area will recover. Furthermore, the recovery of the affected area also differs depending on the age of the person to be measured, and the younger the person to be measured, the faster the recovery.

Therefore, the recovery prediction unit 84 of the present embodiment predicts the recovery time based on the degree of inflammation of the affected area immediately after the occurrence of inflammation, the whole body muscle mass, and the age, for example.

Equation 1 below is an example of a prediction equation for predicting recovery time, and is a regression equation. By storing the variables injury, muscle, age, and time as a database, constants a, b, and c can be determined by the least squares method, etc., and a regression equation can be calculated.

time=a*injury/muscle+b*age+ c...(1)
time: recovery period injury: degree of inflammation in the affected area immediately after the onset of inflammation muscle: mass of whole body muscle just before the onset of inflammation age: age a: constant b: constant c: constant

Note that the recovery prediction line calculated using the prediction formula is not limited to a curve but may be a straight line. Moreover, the prediction formula may be created by other methods such as machine learning instead of the regression formula. Further, for the whole body muscle mass, the most recent value obtained before the occurrence of inflammation may be used instead of immediately after the occurrence of inflammation. Moreover, as a variable used in the prediction formula, the body weight of the subject may be used instead of the whole body muscle mass, or other body composition such as the whole body fat mass may be used.

By predicting the recovery time of the affected area using the recovery prediction line in this way, medical personnel can formulate an appropriate rehabilitation plan for the subject.

In addition, in medical facilities such as hospitals and clinics where a large number of rehabilitation patients are hospitalized or attend, the rehabilitation period can be predicted by referring to the recovery period of each rehabilitation patient, and a comprehensive rehabilitation plan for multiple patients can be drawn up. It's okay. For example, a patient cannot undergo rehabilitation until the catabolic phase of the affected area ends and the anabolic phase begins. Therefore, by predicting the timing at which the affected area will enter the assimilation period from the recovery prediction line, an appropriate rehabilitation start time and rehabilitation end time can be planned. This allows medical facilities to accept rehabilitation patients at an appropriate time. In addition, medical facilities can predict the number of rehabilitation patients they will accept, making it possible to optimize the number of staff.

The recovery state determination unit 86 determines the recovery state of the affected area based on the difference between the predicted recovery state of the affected area based on the recovery time predicted by the recovery prediction unit 84 in the past and the current state of the affected area determined by the affected area status determination unit 80. Determine the condition.

Note that the recovery state here is a concept that includes the progress of recovery of the affected area. Furthermore, the predicted recovery state is a time-series prediction of recovery of the affected area. The recovery state determined by the recovery state determination unit 86 is an evaluation obtained by comparing the current recovery state and the predicted recovery state. The current recovery state is the actual recovery state at the current time.

FIG. 5 is a schematic diagram showing the difference between the predicted recovery state and the current recovery state of whole body muscle mass and inflammation degree. In FIG. 5, as an example, the vertical axis represents the whole body muscle mass, and the horizontal axis represents the degree of inflammation in the affected area. Note that the double line in the assimilation period in FIG. 5 is the recovery prediction line mentioned above.

As shown in Figure 5, the degree of inflammation is generally higher after surgery than before surgery. Rehabilitation begins after the catabolic phase of inflammation ends. Note that whether the affected area is in the catabolic phase or the anabolic phase may be determined based on local impedance.

Although the degree of inflammation had slightly improved at the start of rehabilitation, the subject was in a resting state during the catabolic phase, so his whole body muscle mass was at its lowest. After that, the subject underwent rehabilitation, and the current state of recovery is that the degree of inflammation in the affected area has recovered to near the level before surgery. Ideally, the current state of recovery should overlap with the predicted recovery line, and the whole body muscle mass should recover to near the pre-surgery level. However, there is a difference between the current recovery state and the predicted recovery line shown in FIG.

Based on this difference, the recovery state determination unit 86 determines the recovery state of the affected area. Note that the determination of the recovery state may be output as, for example, a difference in numerical values or the like between the recovery prediction line and the current recovery state. This output is, for example, display on the monitor 49 of the information processing device 16 and storage in the storage unit 74. Further, the recovery state determining unit 86 may output a predetermined comment or the like according to the numerical value instead of a numerical value etc. as the determination result.

Note that the recovery state determination unit 86 of this embodiment determines not only the recovery state of an affected area such as inflammation, but also the recovery state of whole body muscle mass, which is a whole body index.

That is, as mentioned above, as a result of placing the subject in a resting state in order to recover the affected area, the whole body muscle mass may decrease. Therefore, the subject also needs to recover muscle mass throughout the body. In this way, the recovery state determination unit 86 of the present embodiment simultaneously acquires not only the recovery state of the affected area such as inflammation of the subject, but also the recovery state of the whole body muscle mass, which is a whole body index, so that the recovery state of the subject It can be determined whether or not the person is recovering appropriately.

In addition to the whole body muscle mass, the whole body index used to determine the recovery state may include other whole body body compositions such as whole body fat mass, body weight, basal metabolism of the subject, and internal body age. Furthermore, a rehabilitation plan may be designed to recover whole body indicators other than these whole body muscle mass.

Further, the determination of the recovery state is performed multiple times during the process of recovery of the patient's affected area. Continuous measurement of the affected area in this way allows for a better and more appropriate rehabilitation plan for the patient.

The advice generation unit 88 generates advice regarding recovery of the affected area based on the determination result of the recovery state determination unit 86. The advice is based on the difference calculated by the recovery state determining unit 86, and includes, for example, "The inflammation has decreased, but the muscle mass has not recovered as much as expected.", "The muscle mass has not recovered as much as expected." However, the inflammation does not heal very well.''

In addition, as an example of advice, if the current inflammation in the affected area has not recovered compared to the recovery prediction line, for example, ``Let's focus on suppressing inflammation.To suppress inflammation, do not move, apply heat, Measures to help the affected area recover may also be included, such as repeated cooling. In addition, if your current total body muscle mass has not recovered in line with the recovery prediction line, an example of the advice we give is, ``Focus on increasing your muscle mass. Review your food intake and do appropriate training.'' etc. may be output. The generated advice is displayed on the monitor 49 of the information processing device 16 and stored in the storage unit 74. By outputting such advice, it is possible to create a more appropriate rehabilitation plan.

6 and 7 are schematic diagrams showing examples of advice generated by the advice generation unit 88.

In the example of FIG. 6, the matrix corresponds to the level of the inflammation level and the increase/decrease in the whole body muscle mass compared to the recovery prediction line, and examples of advice according to the level of the inflammation level and the increase/decrease in the whole body muscle mass are stored in advance in the storage unit 74. is memorized.

For example, if the degree of inflammation is high and the muscle mass of the whole body is increasing, the rehabilitation intensity is strong, and therefore advice is output that prompts the rehabilitation plan to be modified to weaken the rehabilitation intensity. On the other hand, if the degree of inflammation is low and the muscle mass of the whole body is increasing, rehabilitation is progressing smoothly, and therefore no advice is output that prompts modification of the rehabilitation plan. Further, if the degree of inflammation is high and the muscle mass of the whole body is decreased, nutritional intake is insufficient, and advice is output to urge modification of the rehabilitation plan to ensure sufficient nutritional intake. In addition, if the degree of inflammation is low and the whole body muscle mass has decreased, the recovery is progressing smoothly, but the rehabilitation intensity is weak, so advice is output to prompt the correction of the rehabilitation plan to increase the rehabilitation intensity. .

Furthermore, if the condition of the affected area is good, a message to that effect may be displayed and advice may be output that it is okay to take a temporary break from rehabilitation. On the other hand, even if the recovery of the affected area is progressing smoothly, if the recovery of muscle mass is not progressing smoothly, advice to continue exercising may be output.

Note that the advice may include meal contents that include nutrients that should be ingested based on the total body fat amount, the total body muscle mass, and the state of recovery of the affected area.

The example in FIG. 6 is an example of advice based on two axes: the degree of inflammation and the whole body muscle mass, whereas the example in FIG. 7 is an example of advice that takes into account changes over time in the state of recovery of the affected area. Specifically, FIG. 7 is a matrix of advice examples according to the actual degree of inflammation recovery and the slope of the actual recovery state. Note that the slope of the actual recovery state is obtained by determining the recovery state of the affected area multiple times at different times.

A case where the slope is large is a case where the slope is large compared to the recovery prediction line. In this case, the pace of muscle mass increase is faster than the recovery of inflammation. The case where the slopes match is the case where the slopes match the slope of the recovery prediction line. In this case, the patient is recovering relatively smoothly. A case where the slope is small is a case where the recovery from inflammation is faster than the pace of increase in muscle mass.

As shown in FIG. 7, if the inflammation recovers quickly, no advice is output that prompts correction of the rehabilitation plan, regardless of the slope. On the other hand, if the inflammation recovery is as predicted and the slope is large, advice is output that prompts corrections that will speed up the inflammation recovery. If the slopes match, no advice will be output that prompts correction. If the slope is small, advice is output that prompts corrections such as increasing muscle mass. Furthermore, if the recovery from inflammation is slow, advice is output that urges corrections that will speed up the recovery from inflammation, regardless of the slope.

Next, with reference to FIGS. 8 to 10, the affected area recovery determination process by the affected area recovery determination system 10 will be described. Note that the affected area recovery determination process is executed by the information processing device 16, but before that, bioelectrical impedance/body weight acquisition process and local impedance acquisition process are performed. In addition, user information necessary for the affected area recovery determination process, such as the subject's age, sex, height, and body shape, is input in advance to the affected area determination device 12, body composition meter 14, and information processing device 16. Note that the user information of the person to be measured may be stored in a server (not shown) and read from the server.

FIG. 8 is a flowchart showing the flow of bioelectrical impedance/weight acquisition processing executed by the body composition meter 14.

First, in step 100, the person to be measured stands on the stage 42 and grips the hand grip part 40.

In the next step 102, the bioimpedance of the subject is measured by passing current through the hand electrodes 40R, 40L and the sole electrodes 46R, 46L and measuring the potential difference.

In the next step 104, the weight of the subject is measured.

In the next step 106, the bioimpedance and body weight measurement results are output and the process ends. The output of the measurement results includes sending the measurement results to the information processing device 16, displaying the measurement results on the monitor 48, and the like.

Note that in the bioelectrical impedance/weight acquisition process according to the present embodiment, the body composition of the subject is not calculated, but the body composition is not limited to this, and the body composition may be calculated after measuring the bioelectrical impedance and weight. . The calculated body composition may be transmitted to the information processing device 16.

Additionally, if the subject has a missing limb, the bioimpedance of the whole body is measured excluding the missing limb. For example, if a subject has a missing left arm, the bioimpedance of the whole body excluding the missing part can be measured by placing an electrode near the missing part of the left arm and grasping the hand electrode 40R with the right hand. .

FIG. 9 is a flowchart showing the flow of local impedance acquisition processing executed by the affected area determination device 12.

First, in step 200, the measurement unit 20 is placed on the affected area of the person to be measured. At this time, the affected area determination device 12 displays on the monitor 26 messages such as "Please touch the affected area." and "Is it okay to use the same affected area as the previous measurement?" Thereby, the affected area determining device 12 prompts the measurer to grasp the position of the affected area in the person to be measured, and arranges the measuring section 20 at an appropriate position.

In step 202, the current frequency and inter-electrode distance are set according to input by the measurer of the affected area determination device 12. The current frequency and the inter-electrode distance are input via the monitor 26, which is a touch panel display, for example. The frequency setting section 50 sets the input current frequency. The current frequency to be set is a low frequency and a high frequency in order to determine the degree of inflammation of the affected area.

In the next step 204, the current application control unit 52 applies a current of the set frequency to the current electrode 24A. As a result, a current flows between the electrode sections 24 that are in contact with the person to be measured.

In the next step 206, the voltage detection section 54 detects the voltage generated by the current flowing through the voltage electrode 24B.

In the next step 208, the local impedance calculation unit 56 calculates the local impedance based on the voltage detected by the voltage detection unit 54.

In the next step 210, it is determined whether the measurement of local impedance at all predetermined parts of the subject and at different frequencies has been completed, and in the case of an affirmative determination, the process moves to step 204. On the other hand, if the determination is negative, steps 204 to 210 are repeated until the local impedance calculation is completed. Note that the predetermined site includes, in addition to the affected area of the person to be measured, a site that does not have an affected area for obtaining a reference value.

In the next step 212, the measurement results of the local impedance and the measurement conditions such as the current frequency at the time of measurement are output, and the process ends. The output of the measurement results includes sending the measurement results to the information processing device 16, displaying the measurement results on the monitor 26, and the like.

Note that in the local impedance acquisition process according to the present embodiment, the state of the affected area is not determined by the affected part state determining unit 58 of the affected part determining device 12, but the present invention is not limited to this, and after measuring the local impedance, the affected part state determining unit 58 A state determination may be made. When the state of the affected area is determined, the determination result may be transmitted to the information processing device 16.

FIG. 10 is a flowchart showing the flow of the affected area recovery determination process executed by the information processing device 16. Note that each determination result and calculation result in the affected area recovery determination process is stored in the storage unit 74 in chronological order in association with the subject.

First, in step 300, the communication unit 70 obtains the measured value of local impedance from the affected area determination device 12, and the measured values of biological impedance and body weight from the body composition meter 14. Each acquired measurement value is stored in the storage unit 74.

In the next step 302, the affected area state determination unit 80 determines the state of the affected area based on the acquired local impedance.

In the next step 304, the body composition calculation unit 82 calculates the whole body muscle mass of the subject based on the acquired bioelectrical impedance and body weight.

In the next step 306, it is determined whether a recovery prediction line for the affected area of the subject has been calculated. If the determination is positive, the process moves to step 310, and if the determination is negative, the process moves to step 308.

In step 308, the recovery prediction unit 84 calculates a recovery prediction line based on the condition of the affected area determined in step 302 and the whole body muscle mass calculated in step 304, and the process proceeds to step 316. Note that the calculated recovery prediction line and recovery time are stored in the storage unit 74 in association with the subject.

In step 316, which is a transition from step 308, the monitor 49 displays the recovery prediction line and recovery time. A rehabilitation plan for the person to be measured is drawn up while checking the displayed contents.

On the other hand, in step 310 to which the transition is made when an affirmative determination is made in step 306, the already calculated predicted recovery line of the subject is read out from the storage unit 74, and the state of the affected area determined in step 302 and the predicted recovery line calculated in step 304 are read out. The recovery state determining unit 86 calculates the difference between the whole body muscle mass and the predicted recovery line.

In the next step 312, the recovery state determination unit 86 determines the recovery state of the affected area and the recovery state of the whole body muscle mass based on the difference calculated in step 310.

In the next step 314, the advice generation unit 88 generates advice based on the determination result in step 310.

In the next step 316, the monitor 49 displays the recovery state determination result and the generated advice. While checking the displayed contents, the rehabilitation plan of the subject is modified as necessary.

Although the present disclosure has been described above using the above embodiments, the technical scope of the present disclosure is not limited to the range described in the above embodiments. Various changes or improvements can be made to the embodiments described above without departing from the gist of the disclosure, and forms with such changes or improvements are also included within the technical scope of the present disclosure.

In the above embodiment, the state of the affected area of the subject is determined based on local impedance, but the present disclosure is not limited thereto. For example, the condition of the affected area may be determined based on an affected area index different from local impedance.

In other words, the affected area index may be any index that reflects the condition of the affected area of the subject, and may be, for example, CRP. Note that when CRP is used as an index of the affected area, information that can more accurately specify the condition of the affected area, such as the type of the affected area (wound), may also be used. Alternatively, data indicating the location, type, and shape of the affected area may be inputted to the information processing device 16 as the affected area index, and the affected area state determining section 80 may determine the state of the affected area based on these data.

In the embodiment described above, a configuration in which the body composition analyzer 14 and the information processing device 16 are able to communicate has been described, but the present disclosure is not limited to this. The body composition analyzer 14 and the information processing device 16 may not communicate with each other. In this case, the measurement results of the body composition analyzer 14 are directly input to the information processing device 16 in order to perform the process of determining recovery of the affected area.

In the above embodiment, the information processing device 16 performs the affected part recovery determination process, but the present disclosure is not limited to this. The server may receive (acquire) the measurement results of the affected area determining device 12 and the body composition meter 14, and the server may perform the affected area recovery determination process. In this case, the results of the affected area recovery determination process can be viewed using a mobile terminal device or the like.

10 Affected area recovery determination system 16 Information processing device (affected area recovery determination device)
80 Affected area condition determination unit (affected area condition determination means)
84 Recovery prediction unit (prediction means)
86 Recovery state determination unit (Recovery state determination unit)
88 Advice generation unit (advice generation means)

Claims (10)

1. an acquisition means for acquiring an affected area index that reflects the condition of the affected area of the subject;
   Affected area condition determination means for determining the condition of the affected area based on the affected area index acquired by the acquisition means;
   prediction means for predicting recovery time of the affected area based on the condition of the affected area determined by the affected area condition determination means and the whole body index of the subject;
   An affected area recovery determination device.
2. The affected area recovery determination device according to claim 1, wherein the affected area index is an impedance of a part of the subject including the affected area.
3. The affected area recovery determination device according to claim 1 or 2, wherein the whole body index is the whole body muscle mass of the subject.
4. The affected area recovery determination device according to claim 3, wherein the prediction means predicts the recovery time so that the greater the whole body muscle mass of the subject, the faster the recovery speed.
5. A recovery state in which the recovery state of the affected area is determined based on the difference between the predicted recovery state of the affected area based on the recovery time predicted by the prediction means in the past and the current state of the affected area determined by the affected area state determination means. The affected area recovery determining device according to any one of claims 1 to 4, comprising determining means.
6. The affected area recovery determining device according to claim 5, wherein the recovery state determining means determines the recovery state of the affected area and the recovery state of the whole body index.
7. The affected area recovery determining device according to claim 5 or 6, further comprising an advice generation unit that generates advice regarding recovery of the affected area based on the determination result of the recovery state determining means.
8. A first step of obtaining an affected area index that reflects the condition of the affected area of the subject;
   a second step of determining the state of the affected area based on the affected area index obtained in the first step;
   a third step of predicting the recovery time of the affected area based on the condition of the affected area determined in the second step and the whole body index of the subject;
   A method for determining recovery of an affected area.
9. A computer of an information processing device that uses an acquisition means to acquire an affected area index that reflects the condition of the affected area of the subject;
   Affected area condition determination means for determining the condition of the affected area based on the affected area index acquired by the acquisition means;
   prediction means for predicting recovery time of the affected area based on the condition of the affected area determined by the affected area condition determination means and the whole body index of the subject;
   A program to determine the recovery of the affected area so that it can function properly.
10. A computer-readable non-temporary storage medium storing the affected area recovery determination program according to claim 9.
    
    
    

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