JP2020011030A - Electric treatment device, electric treatment AI device, electric treatment control method, and electric treatment system - Google Patents

Abstract

To provide a device, a method, and a system that can ensure a certain treatment performance.SOLUTION: According to one embodiment of the present invention, an electric treatment device that supplies electricity to a target through a human body and is connected to the human body includes: an output unit that outputs the electricity to the human body; a measurement unit that measures a plurality of measurement values indicating an electrical characteristic of the target; a storage unit that stores a reference value indicating a value that is a reference of the electrical characteristic; a matrix generation unit that generates a matrix that divides the target into a plurality of areas; a first generation unit that generates a first matrix in which the reference value is arranged in the area; a second generation unit that generates a second matrix in which the measurement value is arranged in the area; and an adjusting unit that adjusts the current value of the electricity when the first matrix and the second matrix are different.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an electric treatment apparatus, an electric treatment AI apparatus, an electric treatment control method, and an electric treatment system.

  2. Description of the Related Art Conventionally, there has been known a method of treating a disease or performing massage or the like by supplying electricity to a treatment target such as a human.

  Then, for example, if the treatment is continuously performed, the human may be accustomed to the electric stimulation. Therefore, the device automatically adjusts the output adjustment parameters individually based on the stored output adjustment parameters by storing the output adjustment parameters up to the previous time. A method of preventing the user from being accustomed to the voltage by doing in this way is known (for example, see Patent Document 1).

JP-A-2017-189501

  However, in the conventional method, the electrical characteristics of the subject are not measured during the treatment. Therefore, the adjustment is performed with reference to the previous parameter. With such a configuration, the effect tends to depend on the intuition or experience of the person who sets the parameter. For this reason, there are many cases where a so-called treatment method, in which the effect varies, or in which a treatment cannot be performed unless a specific person is performed, becomes a person.

  In view of the above problems, an object of the present invention is to provide an apparatus, a method, and a system that can secure a certain treatment effect.

In view of the above problems, according to an embodiment of the present invention, an electric treatment device that supplies electricity to a target through a human body and connects to the human body,
An output unit that outputs the electricity to the human body;
A measuring unit that measures a plurality of measurement values indicating the electrical characteristics of the object,
A storage unit that stores a reference value indicating a value serving as a reference of the electrical characteristic,
A matrix generation unit that generates a matrix that divides the target into a plurality of regions;
A first generation unit that generates a first matrix in which the reference values are arranged in the area;
A second generation unit that generates a second matrix in which the measurement values are arranged in the area;
When the first matrix is different from the second matrix, an adjustment unit that adjusts the electric current value is included.

  It is possible to provide an apparatus, a method, and a system that can ensure a certain treatment effect.

FIG. 2 is a block diagram illustrating an example of an overall configuration and an example of a hardware configuration according to the first embodiment. It is a flowchart which shows the example of a whole process by the electric treatment apparatus in 1st Embodiment. It is a figure showing an example of a standard value in a 1st embodiment. It is a figure showing a comparative example of a standard value and a measured value by an electric treatment device in a 1st embodiment. It is a figure showing the example of adjustment by the electric treatment device in a 1st embodiment. FIG. 3 is a block diagram illustrating an example of an overall configuration and an example of a hardware configuration in a comparative example. It is a block diagram showing the example of the whole composition and the example of the hardware composition in a 2nd embodiment. It is a block diagram showing the example of the whole composition and the example of the hardware composition in a 3rd embodiment. It is a flow chart which shows the example of the whole processing by the electric treatment device in a 3rd embodiment. It is a block diagram showing an example of functional composition of an electric treatment device. It is a flow chart which shows the example of the whole processing by the electric treatment device in a 4th embodiment. FIG. 14 is a diagram illustrating an example of generating a matrix by dividing a target into a plurality of regions according to the fourth embodiment. It is a figure showing the example of generation of the 1st matrix in a 4th embodiment. It is a figure showing the example of generation of the 2nd matrix in a 4th embodiment. It is a figure showing the comparative example and the example of adjustment of the 1st matrix and the 2nd matrix in a 4th embodiment. It is a figure showing the modification of the matrix in a 4th embodiment. It is a block diagram showing the example of functional composition of the electric treatment device in a 4th embodiment.

  Hereinafter, a specific example according to an embodiment of the present invention will be described with reference to the drawings.

<First embodiment>
<Example of overall configuration and example of hardware configuration>
FIG. 1 is a block diagram illustrating an example of an overall configuration and an example of a hardware configuration according to the first embodiment. For example, the electric treatment apparatus 10 is used in an overall configuration as illustrated. Specifically, the electric treatment apparatus 10 includes a generator 10H1, an adjustment circuit 10H2, a comparator 10H3, a storage device 10H4, and a sensor 10H5. These hardware resources are connected by, for example, a cable or a bus, and can mutually transmit and receive signals or data.

  The generator 10H1 generates electricity 11 based on the input parameters and outputs the electricity 11 to a human body 12 connected to the electric treatment device 10. Note that the electricity 11 may include an electromagnetic wave or the like.

  Specifically, the generator 10H1 is, for example, “medic SR14000, [online], [searched on June 12, 2018]”, the Internet <URL: http://www.e-medical.co.jp/product /medic01_trait.html> ".

  Note that the generator 10H1 is not limited to the above device. That is, the generator 10H1 may be any device that generates electricity.

  Preferably, the generator 10H1 is capable of outputting a current in the order of microamperes (μA).

  Preferably, the generator 10H1 can reduce the voltage to 120 volts (V) or less.

  Further, it is desirable that the frequency of the generator 10H1 is variable. More preferably, the frequency can be changed within a range of 0 to 10000 Hertz (Hz), the center frequency is set to about 1000 Hz, and the change width is preferably set to about 1 to 40 Hz.

  In addition, it is desirable that the generator 10H1 can set a pattern such as a frequency in advance. That is, it is desirable that the generator 10H1 can periodically change the frequency and the like based on the set pattern, for example.

  Further, the generator 10H1 only needs to be able to output either AC or DC, but it is preferable that the generator 10H1 can output both and can switch between AC and DC.

  The adjustment circuit 10H2 is an electronic circuit or the like that adjusts the electricity 11 output from the generator 10H1 by transmitting a signal or the like to the generator 10H1 by wire or wirelessly. The adjustment is realized by changing the parameter PAR of the electricity 11.

  For example, the parameter PAR is switching between outputting the electricity 11 as DC or outputting electricity 11 as AC, a voltage value, a current value, the number of pulses, a frequency, a cycle, or a combination thereof. Specifically, when the adjustment circuit 10H2 changes the parameter PAR by adjustment, the electricity 11 is changed from DC to AC, or the voltage of the electricity 11 increases.

  The adjustment circuit 10H2 has an input terminal and the like, and can receive data indicating the comparison result V3 and the like from an external device such as the comparator 10H3. Then, based on the received data, the adjustment circuit 10H2 can change the parameter PAR.

  The comparator 10H3 has two or more input terminals, and receives data indicating the measured value V1, the reference value V2, and the like from external devices such as the storage device 10H4 and the sensor 10H5 through the respective input terminals. The comparator 10H3 is an electronic circuit or the like that can compare a plurality of values. Next, the comparator 10H3 outputs data indicating a comparison result V3 such as a difference between the measured value V1 and the reference value V2 to the adjustment circuit 10H2.

  The comparison result V3 indicates whether the difference between the measured value V1 and the reference value V2 is a large value as compared with a preset threshold value or the like. That is, the comparison result V3 is a result of comparing the measured value V1 and the reference value V2 to determine whether there is a difference equal to or more than a certain value.

  The storage device 10H4 is a device that stores data indicating the reference value V2 and the like. For example, the reference value V2 is input to the storage device 10H4 when the user operates an input device such as a button. Note that the reference value V2 may be input to the storage device 10H4 in the form of a file or the like.

  The sensor 10H5 measures an electric characteristic of a target. For example, the sensor 10H5 can be used as a “human body potential measurement device, [online], [searched on June 12, 2018], Internet <URL: https://www.ekasuga.co.jp/product/30137/000075.shtml” > ”Etc. That is, when the target is a human, the sensor 10H5 is desirably a measuring instrument that can measure electric characteristics such as a potential of a human body such as a surface potential and a deep potential.

  Then, the sensor 10H5 outputs data indicating the measured value V1 obtained by measuring the electric characteristic of the target to the comparator 10H3.

  Note that the hardware configuration is not limited to the illustrated configuration. That is, the illustrated device may be plural. On the other hand, as for each device, one device may have a function.

  Further, for example, the adjustment circuit 10H2, the comparator 10H3, and the storage device 10H4 may be realized by an information processing device such as a PC (Personal Computer). That is, the processing such as adjustment may be realized by a processing device such as a CPU (Central Processing Unit) and a main storage device of the information processing device, and a process and control performed in cooperation with each other based on a program or the like. .

  Further, the electric treatment apparatus 10 may further include an internal or external device in addition to the illustrated hardware configuration.

  Hereinafter, a case where the target 13 is a human will be described as an example. For example, an example in which the person to be the human body 12 is a doctor and the person to be the target 13 is a patient will be described. It should be noted that the person who becomes the human body 12 does not need to be a doctor unless it is a treatment using the electric treatment device 10. In this case, first, electricity 11 is supplied to the doctor from the generator 10H1 by a cable or the like. Then, it is assumed that the doctor is in a state of touching the patient with his hand. With such a system, the electricity 11 is output to the patient 11 via the doctor.

  On the other hand, since the sensor 10H5 is attached to the patient, the electrical characteristics of the patient are to be measured.

<Example of Overall Processing in First Embodiment>
FIG. 2 is a flowchart illustrating an example of an overall process performed by the electric treatment apparatus according to the first embodiment. As shown in the figure, first, a process of “preparation” is performed in advance. Then, after “preparation” is performed, processing that is “executed” is performed.

  It is not necessary that “execute” is performed immediately after the process of “preparation”. That is, there may be considerable time between the process of “preparation” and the process of “execution”. Further, once the process of “preparation” is performed, the setting of “preparation” may be reused thereafter. In other words, it is not necessary to perform all the “preparation” processing every time the “execution” processing is performed.

<Example of input of reference value> (FIG. 2, step S01)
In step S01, the electric treatment apparatus 10 inputs a reference value. For example, the reference value is as follows.

  FIG. 3 is a diagram illustrating an example of a reference value according to the first embodiment. The figure shows the WHO Environmental Health Criteria 238 Very Low Frequency Electromagnetic Fields (Ministry of the Environment version: Japanese translation) 3.3.4 Comparison of calculated and measured values P.79, [online], [June 2018 12th search] and the Internet <URL: https://www.env.go.jp/chemi/electric/material/ehc238_e/pdf/006.pdf>.

The reference value is a value indicating the electrical characteristics of a healthy person. That is, if the electrical characteristic is the value of the reference value, the target is determined to be “normal”. As described above, the reference value is a value serving as a reference for determining that the target state is “normal”. Specifically, the illustrated example is an example in which the unit system of the electrical characteristics is the current density (A / m ² ) in a 1-cm square (cm ² ) average of the human body. That is, in the illustrated example, the electric characteristic is an example of the amount of current per unit volume in the body.

  Also, in the figure, the vertical axis is the target height. That is, on the vertical axis, "1.8 m" (the upper side in the figure) is the head of the human body, and "0 m" is the toe (the lower side in the figure). Becomes Further, in the illustrated example, the electric treatment apparatus 10 stores two different reference values for an adult (data shown on the left side in the figure) and a child (data shown on the right side in the figure). Here is an example. That is, this configuration example is a configuration in which the reference value used in the subsequent comparison is switched depending on whether the patient is an adult or a child.

  For example, as shown in the figure, the reference value is input at predetermined intervals on the vertical axis, that is, at the height of a person. Note that the reference value may be input in units such as for each body part.

  Note that the reference value does not need to be the type as shown. For example, a reference value may be stored for each of the other types. For example, based on gender, the reference value may differ for men and women, or may differ depending on age and the like. Further, the reference value may be different for each person. Therefore, there may be a plurality of reference values. Further, the electrical characteristics may be a unit other than the current density in the 1-cm square average. That is, the reference value may be a unit system that can be compared with a measured value or a value obtained by unit-converting the measured value in the subsequent stage. In order to compare the reference value and the measured value, when converting the unit system of at least one of the values, the value used for the conversion is set in the electric treatment apparatus 10 in the “preparation” process. You.

Hereinafter, an example in which the unit system of the reference value is (μA / m ² ) as illustrated is described.

  As described above, the process of “preparation” is performed by step S01 and the like. Then, when at least the step S01 and the like are executed and the process of “preparation” is completed, for example, the process of “execute” is performed as follows.

<Example of Outputting Electricity to Target> (FIG. 2, Step S02)
In step S02, the electric treatment device 10 outputs electricity to a target patient via a human body of a doctor. As shown in FIG. 1, the electric treatment apparatus 10 first outputs electricity 11 to a connected doctor's body. When the doctor touches the patient, the electricity 11 passes through the body of the doctor and consequently sends the electricity 11 to the patient.

<Example of Generation of Measurement Value Showing Electrical Characteristics of Object> (Step S03 in FIG. 2)
In step S03, the electric treatment apparatus 10 generates a measurement value V1 indicating the electric characteristic of the target. That is, in the configuration example shown in FIG. 1, the electric treatment apparatus 10 senses the electric characteristics of the patient using the sensor 10H5 or the like and generates data indicating the measurement result.

  Note that generation of the measurement value V1 may include conversion of a unit system.

  Further, it is desirable that the measurement value V1 is a value indicating the result of measuring the surface potential and the deep layer potential. First, the surface potential is measured, for example, as follows.

  For example, the surface potential can be calculated as described in “Measurement of surface potential of dielectric layer, written by Kenichi Miura, [online], [searched on June 12, 2018]”, Internet <URL: https: //www.jstage.jst.go .jp / article / kobunshi1952 / 16/2 / 16_2_305 / _pdf> ”. Note that the surface potential is not limited to being measured by the above method. That is, in the configuration example shown in FIG. 1, when the sensor 10H5 is a device that can measure a potential at a position close to the body surface, the measurement result by the sensor 10H5 is a measured value of the surface potential.

  The deep potential is a potential in a deep part of a human body, that is, a position where a built-in body or a bone is present. First, in order to calculate a potential, that is, a voltage based on the Ohm's law, a current value and a resistance value are required.

  The resistance value can be measured in advance with a device such as a so-called tester. In addition, the resistance value of the human body often fluctuates dynamically. Therefore, the resistance value may be measured in real time.

  Next, when electricity is sent to the deep part and the current value is measured, the measurement can be performed by calculating the deep potential based on the resistance value and the current value. For example, in order to send electricity to a deep part, direct current electricity is used, and if the ionization of the human body is used, the conductivity of the human body can be adjusted, so that the electricity can be sent to the deep part. That is, the ionization of the human body refers to an electrolyzed state or the like. Such ionization can be realized, for example, by repeating electric discharge and electric charge.

  Or, for example, it is described in “Hybrid electrical stimulation therapy device, [online], [searched on June 12, 2018], Internet <URL: http://tama-seikotsuin.com/rutina.html>” As described above, electricity can be transmitted to a deep part even when the medium frequency is used. In addition, the method of sending electricity in a deep part may not be the above method.

  As described above, in a portion where the resistance value is known, by sending electricity to a deep portion and measuring a current value, a deep potential can be calculated. The current value can be measured by, for example, an ultrasonic vibration potential method. Specifically, “Principle and application example of ζ potential measurement method, [online], [searched on June 26, 2018], Internet <URL: http://www.toagosei.co.jp/develop/theses /detail/pdf/no14_07.pdf> ”.

  As described above, when the surface potential and the deep potential can be measured, an average potential in a human body can be calculated. That is, the potential may be different between a portion such as the body surface and a deep portion. For example, when the output destination of electricity is a deep part, that is, a built-in part, the electric treatment apparatus 10 first stores a reference value of the deep part in advance. In this way, the deep potential is measured after "preparation", and the treatment effect can be more exhibited when the deep potential is used as a comparison target in the subsequent comparison and the like.

<Comparative example of measured value and reference value> (FIG. 2, step S04)
In step S04, the electric treatment apparatus 10 compares the measured value with the reference value. For example, when comparing the reference value shown in FIG. 3 with a measurement value obtained by performing the process of step S03 on a portion similar to the reference value, the comparison is performed as follows.

  FIG. 4 is a diagram illustrating a comparative example of a reference value and a measured value by the electric treatment apparatus according to the first embodiment. The vertical and horizontal axes in each figure are the same as those in FIG. First, it is assumed that a reference value V2 as shown in the drawing (upper diagram in the figure), that is, a reference value in the same format as that in FIG.

  On the other hand, it is assumed that a measured value V1 (shown in the figure below) is measured by the process of step S03. That is, in step S03, it is assumed that the same electrical characteristics are measured for the same portion as the reference value V2.

In the illustrated example, the unit system of the electrical characteristics is (μA / m ² ) as illustrated. On the other hand, if the electrical characteristic measured in step S03 is a deep potential, conversion may be performed so that the unit system is made uniform based on the measured and input resistance value and area value for each part in advance. Good. Hereinafter, it is assumed that the conversion or the like for aligning the unit systems has been completed, and the unit system of the reference value V2 and the unit system of the measured value V1 match.

  Further, the following example is an example in which a predetermined part PT in a human body is compared. That is, the reference value V2 and the measurement value V1 are values measured and input for the part PT. Thus, the comparison is performed for the same part, and the comparison result V3 is output for each part.

  The example shown is a case where there is a difference between the reference value V2 and the measured value V1 at the site PT. As shown in the figure, the reference value V2 and the measured value V1 have different values at the site PT. In such a case, the difference between the reference value V2 and the measured value V1 is calculated as the comparison result V3.

<Example of determining whether there is a difference between the measured value and the reference value> (FIG. 2, step S05)
In step S05, the electric treatment apparatus 10 determines whether there is a difference between the measured value and the reference value. Specifically, in the comparison in step S04, when the comparison result V3 is a value exceeding the threshold, the electric treatment apparatus 10 determines that there is a difference between the measured value and the reference value. Note that the threshold is set in advance.

  Next, when the electric treatment apparatus 10 determines that there is a difference between the measured value and the reference value (YES in step S05), the electric treatment apparatus 10 proceeds to step S06. On the other hand, when the electric treatment apparatus 10 determines that there is no difference between the measured value and the reference value (NO in step S05), the electric treatment apparatus 10 ends the processing. In addition, when the electric treatment apparatus 10 determines that there is no difference between the measured value and the reference value (NO in step S05), the electric treatment apparatus 10 may keep outputting the electricity while maintaining the parameters.

<Example of Adjustment by Changing Parameters> (Step S06 in FIG. 2)
In step S06, the electric treatment apparatus 10 performs adjustment by changing parameters. Specifically, the electric treatment apparatus 10 performs adjustment for changing parameters as described below.

  FIG. 5 is a diagram illustrating an example of adjustment by the electric treatment apparatus according to the first embodiment. Hereinafter, a case where the comparison result is as shown in FIG. 4 will be described as an example.

  As shown in the figure, the adjustment is performed so that the value indicated by the measured value (hereinafter, referred to as “pre-adjustment value V1A”) moves toward the value indicated by the reference value (hereinafter, referred to as “target value V1B”). In this example, the electric treatment apparatus 10 adjusts the pre-adjustment value V1A so that the pre-adjustment value V1A approaches the target value V1B.

  For example, in the case of the adjustment, when the electricity 11 is output as DC, the adjustment is performed such that the electricity 11 is output as AC. In addition, the adjustment changes values such as the voltage, the current, the number of pulses, the frequency, or the cycle of the electricity 11. In the adjustment, a plurality of parameters may be changed.

  The adjustment may be performed a plurality of times. That is, the adjustment may be a process in which various parameter changes are performed to some extent to finally bring the pre-adjustment value V1A closer to the target value V1B.

  In addition, setting may be performed for the adjustment. Specifically, first, when step S03 is performed, the electric treatment apparatus 10 displays a human body graphic graph or the like as shown in FIG. Is also good.

  The display is realized by, for example, the electric treatment device 10 having an output device such as a display, or an output device connected to the electric treatment device 10 by a cable or the like.

  For example, it is desirable that a measurement result, a treatment state, a learning state, a setting state, and the like be displayed by the output device.

  As described above, when the measurement value V1 or the like is displayed, the measurement result (the lower diagram in FIG. 4) displayed in a format as shown in FIG. I can understand. Then, operations such as designation of a part to be adjusted, designation of a parameter to be changed in step S06, input of a change amount of a parameter changed by adjustment, or a combination thereof are input to the electric treatment apparatus 10. You may. That is, the electric treatment apparatus 10 may be set in adjustment based on the measurement result. As described above, the adjustment may partially include manual setting.

  As described above, when the electric treatment device 10 adjusts the electricity 11 output to the subject, the pre-adjustment value V1A approaches the target value V1B. That is, when the adjusted electricity 11 is passed to the target, the target state (that is, the measured value V1) approaches the reference value V2 which is a “normal” state. In this way, a treatment effect for adjusting the electrical characteristics of the object can be obtained.

  For example, when the target is a human, if the electrical characteristics in the body are disturbed, symptoms such as poor physical condition are likely to appear. Therefore, when the electric treatment device 10 sets the electric potential in the body higher than the surrounding environment, a therapeutic effect can be expected due to the generated electric field and the like. In addition, an effect of changing the blood electrolyte can be expected by the electric treatment device 10 (specifically, “About the influence of AC high-voltage electrostatic potential load on blood electrolyte” by Harahirasuke, Niigata Medical Journal, 75, pp. .265,1961 "etc.).

  As described above, when the measurement value V1 and the like are measured, the state of the treatment target and the like can be grasped. In addition, comparing the measured value V1 with the reference value V2 makes it easier to understand the region to be treated and the standard for changing the electrical characteristics. When the electricity adjusted by changing the parameters is given, a certain treatment effect can be given to the target.

<Comparative example>
In order to obtain a treatment effect similar to that of the electric treatment device 10 and the like shown in the first embodiment, for example, the following overall configuration can be considered.

  FIG. 6 is a block diagram illustrating an overall configuration example and a hardware configuration example in a comparative example. The same components as those in FIG. 1 are denoted by the same reference numerals, and description thereof will be omitted. Hereinafter, the points different from the first embodiment will be mainly described.

  As shown in the figure, there is no configuration for performing measurement as compared with the first embodiment. For this reason, the configuration shown in the figure is that the adjuster 14 does not adjust based on the measurement result, but the human body 12, that is, the doctor or the like operates the CNT based on the bodily sensation of the degree of the electricity 11 flowing to the self.

  The adjuster 14 is a device that adjusts the electricity 11 based on the operation CNT. That is, the adjuster 14 has an input device such as a switch. Then, when the operation CNT is input to the input device of the adjuster 14, the electricity 11 is changed. Note that what kind of element of the electricity 11 is changed, the amount of change, and the like are determined by the operation CNT, the input device of the adjuster 14, and the like.

  In such a configuration, what kind of electricity 11 should be given to the target 13 largely depends on the experience and intuition of the doctor who becomes the human body 12. That is, for example, whether the voltage of the electricity 11 should be increased, decreased, or maintained at the current value is not quantitatively measured by a sensor or the like. Judgment will be based on how much you feel. In addition, it is highly likely that the amount of change that takes into account the individual differences of the subject 13 and the effect of the treatment effect will greatly depend on the experience and intuition of the doctor who performs the operation.

  On the other hand, with the configuration as in the first embodiment and the like, the human body 12 can be obtained, and a certain treatment effect can be obtained without depending on the experience and intuition of the doctor or the like who performs the operation.

<Second embodiment>
As compared with the first embodiment, the configuration of the electric treatment apparatus 10 according to the first embodiment is different from the first embodiment in that the configuration of the conductor 21 is further added to the overall configuration and the hardware configuration. The same components as those in the first embodiment are denoted by the same reference numerals, and description thereof is omitted. Hereinafter, the points different from the first embodiment will be mainly described.

  FIG. 7 is a block diagram illustrating an example of an overall configuration and an example of a hardware configuration according to the second embodiment. As illustrated, the electric treatment system 20 has a hardware configuration including a conductor 21 instead of the human body 12 in the first embodiment.

  The conductor 21 is an object that passes the electricity 11 output from the generator 10H1 and conducts the electricity 11 to the target 13. The conductor 21 is water containing a mineral component.

  As in the electric treatment system 20, when the electricity 11 flows to the target 13 via the conductor 21, the electric potential of the electricity 11 can be adjusted by adjusting the conductor 21. In other words, if the configuration is such that the conductor 21 is not provided, it may be difficult to adjust even if the electrical characteristics of the electricity 11 are not desirable for the object 13. Therefore, it is desirable that the electric treatment system 20 has a configuration that plays a role of a filter or the like, like the conductor 21. Further, the conductor 21 is desirably an object that can be set to change an impedance value, a resistance value, a current value, or the like. Therefore, the conductor 21 may include an electric circuit or the like.

  Specifically, when a component harmful to the target 13 is present in the electricity 11, the conductive material 21 includes a substance serving as a filtering component. For example, a sudden increase in voltage may be harmful depending on the target 13. In such a case, the presence of the conductive material 21 can exert a so-called low pass effect. In other words, since the conductor 21 and the like have a resistance component and a capacitor component, they exhibit an effect like a low-pass filter in terms of electrical characteristics. Therefore, an effect of attenuating a sudden change in electrical characteristics such as a voltage can be obtained.

  Note that there may be a plurality of conductors 21.

<Third embodiment>
The third embodiment is different from the first embodiment in that a learning device 10H6 is added. The same components as those in the first embodiment are denoted by the same reference numerals, and description thereof is omitted. Hereinafter, the points different from the first embodiment will be mainly described.

  FIG. 8 is a block diagram illustrating an example of an overall configuration and an example of a hardware configuration according to the third embodiment.

  The learning device 10H6 is, for example, an arithmetic device such as a CPU and a storage device such as a memory.

  Further, the learning device 10H6 has an input terminal or the like from which data or the like having the same content as the data output from the adjustment circuit 10H2 to the generator 10H1 can be obtained.

  Further, the learning device 10H6 has an input terminal or the like that can acquire data or the like indicating the same content as the data output from the sensor 10H5 to the comparator 10H3.

  For example, the electric treatment apparatus 10 performs the following overall processing.

<Example of Overall Processing in Third Embodiment>
Compared with the overall processing example in the first embodiment, the overall processing example in the third embodiment is different in that the learning processing is performed by further performing the processing of steps S21 to S23 and the like. Note that the same processes as those in FIG. 2 are denoted by the same reference numerals, and description thereof will be omitted.

  FIG. 9 is a flowchart illustrating an example of an overall process performed by the electric treatment apparatus according to the third embodiment.

<Example of storing type of parameter to be changed, parameter before change, and measured value> (Step S21 in FIG. 9)
In step S21, the electric treatment apparatus 10 stores the type of the parameter to be changed, the parameter before the change, and the measured value.

  Specifically, in step S21, the electric treatment apparatus 10 stores the parameter items and the like changed in step S06 in the subsequent stage. That is, in step S21, the electric treatment apparatus 10 stores a type such as whether to change the voltage or the frequency.

  In addition, in step S21, the electric treatment apparatus 10 stores a value or the like before the parameter is changed in the subsequent step S06. That is, in step S21, the electric treatment apparatus 10 stores the value before the change in order to calculate the change amount of the parameter in the subsequent step S23.

  Then, the electric treatment apparatus 10 stores the type and the value before the adjustment as described above in association with the measurement value before the adjustment is performed.

<Example of acquisition of measured value after adjustment> (FIG. 9, step S22)
In step S22, the electric treatment apparatus 10 acquires the measured value after the adjustment. For example, step S22 is realized by performing the same processing as step S03 after step S06.

<Example of calculating relationship between parameter type, parameter change amount, measurement value change amount, etc.> (FIG. 9, step S23)
In step S23, the electric treatment apparatus 10 calculates the relationship between the type of the parameter, the parameter change amount, the measured value change amount, and the like.

  Specifically, in a case where a plurality of parameters can be changed, if the value of any of the parameters is changed to be increased, it is calculated whether the pre-adjustment value V1A decreases. That is, the electric treatment apparatus 10 calculates a proportional relationship between the amount of change in the parameter and the amount of change in the measured value.

  Alternatively, the electric treatment apparatus 10 may calculate a correlation coefficient between each parameter and a measured value.

  The learning process is not limited to the illustrated method. For example, the learning process may be realized by deep learning, machine learning, or the like. That is, as the learning process, first, a process of learning in advance with the learning data may be performed.

  As described above, the electric treatment apparatus 10 may use so-called AI (Artificial Intelligence, artificial intelligence) or the like.

  When such learning is performed, it is possible to predict a tendency such as changing which parameter changes the electrical characteristics. The learning data may be data measured on another object. Further, when such learning is performed, the electric treatment apparatus 10 can accurately determine the change amount.

  Furthermore, when various target sections are used for learning, the tendency in each section can be found for each section. The electric treatment device 10 can learn, for example, how the electric characteristics change with respect to the amount of change as the age increases, when the data is classified by age.

  Further, in the configuration in which the learning process is performed as described above, it is desirable that previously measured data (hereinafter, referred to as “personal data”) be used for the target.

  Specifically, personal data is stored in, for example, a so-called PDS (Personal Data Service or Personal Data Store), VRM (Vendor Relationship Management, Vendor Relationship Management) or PLR (Personal Life Record, Personal Life Information processing system, etc.). Data to be managed. In particular, personal data includes, for example, walking data in a lifestyle (clothing, eating and drinking), blood pressure, heart rate, blood sugar level, data obtained at home, data obtained in a health examination, data including a medical checkup data, or a combination thereof. It is desirable that

  As described above, first, personal data is acquired from the information processing system that manages each individual's life log, medical information, and the like. When learning is performed on the acquired personal data, the electric treatment apparatus 10 can further enhance the treatment effect.

<Functional configuration example>
FIG. 10 is a block diagram illustrating a functional configuration example of the electric treatment apparatus. For example, the electric treatment apparatus 10 has a functional configuration including an output unit 10F1, an adjustment unit 10F2, a comparison unit 10F3, a storage unit 10F4, and a measurement unit 10F5. As shown in the figure, the electric treatment apparatus 10 preferably has a functional configuration further including a learning unit 10F6. Hereinafter, the illustrated functional configuration will be described as an example.

  The output unit 10F1 performs an output procedure for outputting the electricity 11 to the human body 12. Then, when the human body 12 is in contact with the target 13, the electricity 11 flows to the target 13 via the human body 12. For example, the output unit 10F1 is realized by the generator 10H1 or the like.

  The adjustment unit 10F2 performs an adjustment procedure of changing the parameter PAR based on the comparison result V3 by the comparison unit 10F3 and adjusting the measured value V1 to approach the reference value V2. For example, the adjustment unit 10F2 is realized by the adjustment circuit 10H2 and the like.

  The comparing unit 10F3 performs a comparing procedure of comparing the measured value V1 and the reference value V2 and outputting the comparison result V3 to the adjusting unit 10F2. For example, the comparison unit 10F3 is realized by the comparator 10H3 and the like.

  The storage unit 10F4 performs a storage procedure for storing the reference value V2. The reference value V2 is, for example, data as shown in FIG. That is, when the target is a human, the storage unit 10F4 stores data for determining a healthy person. For example, the storage unit 10F4 is realized by the storage device 10H4 or the like.

  The measurement unit 10F5 performs a measurement procedure for measuring the measurement value V1. The measurement value V1 is data indicating the electrical characteristics of the target 13. For example, the measurement unit 10F5 is realized by the sensor 10H5 and the like.

  The learning unit 10F6 performs a learning procedure of learning a change in the parameter PAR in which the difference between the measured value V1 and the reference value V2 tends to decrease. For example, the learning unit 10F6 is realized by an arithmetic device or the like.

  As shown in the figure, the electricity 11 output by the output unit 10F1 gives a treatment effect to a target 13 via a human body 12. When the electricity 11 is applied to a part in an unhealthy state, a high treatment effect is easily obtained. Therefore, the measurement unit 10F5 measures the measurement value V1. On the other hand, the reference value V2 is stored in the storage unit 10F4 in advance in order to grasp a healthy state. As described above, when the measured value V1 and the reference value V2 are grasped, the measured value V1 and the reference value V2 are compared by the comparing unit 10F3, and the comparison result V3 is obtained.

  Then, the adjustment unit 10F2 adjusts the parameter PAR such that the electrical characteristics of the part specified based on the comparison result V3 approach a healthy state. In this way, when the adjusted electricity 11 is passed to the subject 13, a certain treatment effect can be obtained.

<Fourth embodiment>
The fourth embodiment differs from the first embodiment in overall processing. Therefore, in the fourth embodiment, the hardware configuration and the like are, for example, the same as the first embodiment. Hereinafter, points different from the first embodiment will be mainly described, and redundant description will be omitted. Further, the same components as those in the first embodiment are denoted by the same reference numerals, and description thereof will be omitted. Further, in the following description, as in the first embodiment, an example in which the target is a human, that is, a human body will be described.

<Example of overall processing>
FIG. 11 is a flowchart illustrating an example of an overall process performed by the electric treatment apparatus according to the fourth embodiment. The difference from the first embodiment is that steps S30 to S35 are performed.

<Example of generating a matrix by dividing the human body> (FIG. 11, step S30)
In step S30, the electric treatment apparatus 10 generates a matrix by dividing the human body. For example, the matrix is generated by setting as follows.

  FIG. 12 is a diagram illustrating an example of generating a matrix by dividing a target into a plurality of regions according to the fourth embodiment. This example is an example in which the target 13 is divided into 2 × 2 areas as illustrated. As described above, the matrix is generated by dividing the target into a plurality of regions.

  Specifically, as illustrated, the upper body of the subject 13 is divided into a first area E1 and a second area E2. Similarly, as illustrated, the lower body of the subject 13 is divided into a third area E3 and a fourth area E4. As described above, first, the target 13 is divided into the upper body and the lower body. The upper body and lower body are further divided into left and right sides. In this way, the target 13 is divided into, for example, four in total.

  It is assumed that the range from each area to each area can be set in advance by inputting a part name using a GUI (Graphical User Interface) or the like. Hereinafter, as illustrated, a description will be given of a divided matrix MX as an example.

  The matrix MX generated by the setting in step S30 matches the first matrix and the second matrix, which will be described later, with the number of regions and the range of division. That is, when the matrix MX is determined, the first matrix and the second matrix are determined.

  It is preferable that the matrix MX, that is, the first matrix and the second matrix are each divided into 9 × 9 or more. It is desirable that the number of regions be large. In particular, since there are various organs in the human body, it is desirable that the region be set finely. Therefore, if the first matrix and the second matrix are finely divided into at least a 9 × 9 area, that is, a total of 81 areas, the operation can be performed with higher accuracy.

  For example, the setting for preparing the matrix as described above is performed in the process of “preparation”. The order in which the processes of step S01 and step S30 are performed in the process of “preparation” does not need to be the order shown in the drawing. That is, step S01 and step S30 may be in an order different from the illustrated order or in parallel.

<Example of generating a plurality of measurement values indicating electric characteristics of a target> (Step S31 in FIG. 11)
In step S31, the electric treatment apparatus 10 generates a plurality of measurement values indicating electric characteristics of the target. That is, when an electrical characteristic is measured at an arbitrary point of interest, one measurement value is generated. Therefore, when the electrical characteristics of the object are measured at two or more points, the electric treatment apparatus 10 can generate a plurality of measurement values.

  Note that the larger the measured value, the better. Further, the same point may be measured a plurality of times to generate an average value or the like. Hereinafter, an example will be described in which two measurement values, that is, two locations of a target human body are measured. However, the measurement may be performed at two or more locations, and may be performed at three or more locations.

<Example of Generating First Matrix Based on Reference Value> (Step S32 in FIG. 11)
In step S32, the electric treatment apparatus 10 generates a first matrix based on the reference value. For example, the first matrix is generated as follows.

  FIG. 13 is a diagram illustrating a generation example of the first matrix in the fourth embodiment. First, in step S01, a reference value V2 is input in advance. Further, since a matrix is generated in advance in step S30, in this example, the first matrix MX1 has a first region E1, a second region E2, a third region E3, and a fourth region E4, as illustrated. . That is, the first matrix MX1 is generated such that the area is set as set in step S30.

  For example, as shown in the drawing, a value of the reference value V2 indicating the same place as each area is input to each area in the first matrix MX1. More specifically, when the heights of the objects in which the respective regions are set (the illustrated example is “high (m)”, that is, an example in which the heights are from the feet of the human body), the first matrix. The value of the reference value V2 is input to MX1. In the illustrated example, it is assumed that the first area E1 and the second area E2 have the same height, and the same value is extracted from the reference value V2. In the first matrix MX1, the first reference value B1 is input to the first area E1 and the second reference value B2 is input to the second area E2. It is a reference value of the height.

  On the other hand, as shown in the drawing, even if the height is the same as in the third area E3 and the fourth area E4, a different reference value may be extracted from the reference value V2. In the illustrated example, a value different from the reference value V2 is extracted. Then, in the first matrix MX1, the third reference value B3 is input to the third area E3, and the fourth reference value B4 is input to the fourth area E4, both of which have the same height. For example, when there is a specific organ or site at the location indicated by each region, a reference value may be input to the first matrix MX1 according to the site or organ instead of the height. Therefore, in the first matrix MX1, which reference value is arranged in each area may be set in advance by an administrator or the like.

  The region often has a width as shown in FIG. In this case, the height of the target in which the region is set is, for example, the upper limit (the highest position in the region) and the lower limit (the lowest position in the region) of the region. An average value, a median value, or the like may be used, or a value having the same height as the reference value V2 may be used as the representative value.

<Example of Generating Second Matrix Based on Measurement Value> (Step S33 in FIG. 11)
In step S33, the electric treatment apparatus 10 generates a second matrix based on the measured values. For example, the second matrix is generated as follows.

  FIG. 14 is a diagram illustrating an example of generating a second matrix in the fourth embodiment. First, the second matrix MX2 is generated so that the area is set as set in step S30. Specifically, in this example, the second matrix MX2 is generated such that the target is four 2 × 2 regions as set in FIG. Therefore, like the first matrix MX1, the second matrix MX2 has a first region E1, a second region E2, a third region E3, and a fourth region E4.

  When the electrical characteristics of the object are measured, each measurement result becomes a measured value. In the illustrated example, the position of the right arm is measured as the first point. Hereinafter, the measurement value indicating the measurement result of the first point is referred to as “first measurement value C1”. Further, in the illustrated example, the position of the left arm is measured as the second point. Hereinafter, the measurement value indicating the measurement result of the second point is referred to as “second measurement value C2”.

  As shown, the first measurement value C1 is a measurement value arranged in the first area E1. Further, the second measurement value C2 is a measurement value arranged in the second area E2. It is assumed that which measurement value is arranged in which region is set to be associated with, for example, when setting where each measurement value is to be measured. For example, the association is set based on the site of the location to be measured.

<Example of judging whether first matrix and second matrix are different> (Step S34 in FIG. 11)
In step S34, the electric treatment apparatus 10 determines whether the first matrix is different from the second matrix. For example, step S34 is performed as follows.

  FIG. 15 is a diagram illustrating a comparative example and an adjustment example of the first matrix and the second matrix in the fourth embodiment.

  First, it is assumed that when step S32 is performed, for example, a first matrix as shown in FIG. 15A is generated. Specifically, a first reference value B1 having a value of “1” is arranged in a first area of the first matrix. Next, a second reference value B2 having a value of “2” is arranged in a second area of the first matrix. Further, a third reference value B3 having a value of “3” is arranged in a third area of the first matrix. Further, a fourth reference value B4 having a value of “4” is arranged in a fourth area in the first matrix. As described above, when the reference values are arranged in the respective regions in the first matrix based on the reference values input in step S01, the first matrix as shown in FIG. 15A is generated.

  On the other hand, it is assumed that when step S33 is performed, a second matrix as shown in FIG. 15B is first generated. That is, when measurement is performed at two locations as shown in FIG. 14, the first measurement value and the second measurement value are arranged.

  If it is determined that the first matrix is different from the second matrix (YES in step S34), as shown in FIG. 11, the electric treatment apparatus 10 repeats measurement, comparison and adjustment of the matrix, and the like. Such repetition is performed until the first matrix and the second matrix match (NO in step S34). Hereinafter, an example will be described in which the first matrix and the second matrix match each other three times (NO in step S34).

  In this example, the measurement values generated in the first measurement in step S32 are “eleventh measurement value C11” and “twelfth measurement value C12”. Therefore, when the first step S33 is performed, a second matrix as shown in FIG. 15B is generated.

  Next, the measurement values generated in the second measurement in step S32 are referred to as “21st measurement value C21” and “22nd measurement value C22”. Therefore, when the second step S33 is performed, a second matrix as shown in FIG. 15C is generated.

  Subsequently, the measurement values generated by the third measurement in step S32 are referred to as “31st measurement value C31” and “32nd measurement value C32”. Therefore, when the third step S33 is performed, a second matrix as shown in FIG. 15D is generated.

  As illustrated, in this example, in the first matrix, for example, the order of the reference values, the numerical values, and the like are constant three times. Thus, in order to make the first matrix constant, step S32 may not be performed for the second and subsequent times. However, the first matrix may be changed each time.

  On the other hand, when the current value is adjusted each time, the electricity output to the target changes, so that the second matrix often changes. Specifically, as shown in FIG. 15B, in the first time, the eleventh measurement value C11 is “2” and the twelfth measurement value C12 is “1”.

  As a result of the first adjustment (step S35), as shown in FIG. 15C, in the second time, the 21st measurement value C21 is “1” and the 22nd measurement value C22 is “4”. is there.

  As a result of the second adjustment (step S35), as shown in FIG. 15D, in the second adjustment, the 31st measurement value C31 is “1” and the 32nd measurement value C32 is “2”. is there.

  At the first time, the first reference value B1 and the second reference value B2 are compared with the eleventh measurement value C11 and the twelfth measurement value C12. As shown in the drawing, since the order of the values is different between the reference value and the measured value, it is determined that the first matrix and the second matrix are different (YES in step S34).

  In the second time, the first reference value B1 and the second reference value B2 are compared with the 21st measurement value C21 and the 22nd measurement value C22. As shown in the figure, the first reference value B1 and the twenty-first measurement value C21 are both “1”, and thus are determined to be the same. On the other hand, since the second reference value B2 and the 22nd measurement value C22 have different values from “2” and “4”, it is determined that the first matrix is different from the second matrix (YES in step S34).

  At the third time, the first reference value B1 and the second reference value B2 are compared with the 31st measurement value C31 and the 32nd measurement value C32. As shown in the figure, the first reference value B1 and the 31st measurement value C31 are both “1”, and thus are determined to be the same. Similarly, since the second reference value B2 and the thirty-second measurement value C32 are “2”, they are determined to be the same. The arrangement order of the measurement values “1” and “2” is the same as the arrangement order of the reference values. Therefore, it is determined that the first matrix is not different from the second matrix (NO in step S34).

  Next, when it is determined that the first matrix is different from the second matrix (YES in step S34), the electric treatment apparatus 10 proceeds to step S35. On the other hand, when it is determined that the first matrix is not different from the second matrix (NO in step S34), the electric treatment apparatus 10 ends the processing. In addition, when ending, after outputting electricity for a certain period of time, the electric treatment apparatus 10 may end the processing. That is, for a while after the adjustment is completed, the electric treatment apparatus 10 may output electricity to be treated.

  In addition, the electric treatment apparatus 10 may determine that the measured value and the reference value are not necessarily the same, but are the same. That is, the determination may be made in consideration of what is called an error and an allowable range. For example, when the reference value is generated by a plurality of samplings, a standard deviation or the like can be calculated. Therefore, the error and the allowable range may be considered with reference to the standard deviation and the like. It is desirable that the error and the allowable range can be set for each category.

  When three or more measurement values are used, the above processing is performed for three points. Therefore, as the number of measured values, that is, the number of locations to be measured, increases, the state of the target can be more accurately brought closer to ideal electrical characteristics indicated by the reference value.

<Example of current adjustment> (FIG. 11, step S35)
In step S35, the electric treatment device 10 adjusts the current. That is, the electric treatment apparatus 10 adjusts the current value so that the measured value approaches the reference value. For example, when the electric characteristic of the measured value is lower than the reference value, the electric treatment apparatus 10 adjusts the electric characteristic so that the electric characteristic value increases. The extent to which the current value is adjusted is determined based on the difference between the reference value and the measured value.

  The adjustment amount per unit is acquired in advance by, for example, setting or learning processing. It is desirable to consider the category for the adjustment amount. In other words, targets having significantly different heights or the like, that is, targets having different categories have different sensitivities to the adjustment amount. Therefore, it is preferable that a value for calculating the adjustment amount is set in advance for each category, and the adjustment is performed by calculating the adjustment amount based on a value different for each category.

  It is desirable that an upper limit value or the like be set for the current value in order to ensure the safety of the target.

  In addition, it is desirable that the electric treatment apparatus 10 performs a learning process as illustrated. For example, the learning process is realized by deep learning, machine learning, or the like.

  For example, when the adjustment is performed, the electric treatment apparatus 10 can grasp the electric characteristics before the adjustment and the electric characteristics after the adjustment. Therefore, based on the changed amount of current and the difference between the electric characteristics before and after the adjustment, the electric treatment apparatus 10 responds to a change in the amount of current per unit (for example, a case where the current is increased by 1 mA by the adjustment). Thus, it is possible to grasp the sensitivity to the adjustment amount of how much the potential or current density of the target changes.

  It is desirable that such sensitivity is learned separately for each category. That is, first, categories such as height, weight, gender, age, body fat percentage, and gender are set in advance. When the treatment is started, a category to which the target belongs is set. As described above, it is desirable that values such as sensitivity are overwritten by being divided for each category, and that learning data for learning processing is divided and accumulated for each category.

  The values of the reference value and the sensitivity of the electrical characteristics differ greatly when the height, weight, gender, age, body fat percentage or gender are different. Therefore, it is desirable that learning is performed for each category.

  In addition, the electric treatment apparatus 10 may further adjust parameters other than the current value. For example, the parameters to be adjusted include switching between outputting an electric DC or outputting an AC, a current value, a voltage value, a frequency, a cycle, a pulse number, a combination thereof, and the like. For some categories or parts, there are parameters that will be more effective if changed together with the current value. Therefore, the electric treatment apparatus 10 may further adjust parameters other than the current value so that the treatment effect is more enhanced.

<Modified example of matrix>
The matrix may be generated, for example, as follows.

  FIG. 16 is a diagram illustrating a modification of the matrix according to the fourth embodiment. That is, the region may be set to indicate, for example, the number or range as illustrated.

  FIG. 16A shows an example in which the matrix MX is divided into a total of nine (3 × 3). As described above, it is desirable that the matrix MX be divided more finely.

  FIG. 16B is an example in which the matrix MX is divided into a total of eleven. For example, the matrix MX may be divided for each part. Further, the illustrated sections may be further divided into internal sections or the like to further divide the sections.

  FIG. 16C is an example in which the matrix MX is divided into a total of six in the height direction. For example, the matrix MX may not be symmetrical in this way, but may be partitioned according to the input format of the reference value or the like.

  FIG. 16D shows an example in which the matrix MX is further divided into three in the depth direction. As shown in the figure, the matrix MX extends from the surface portion (closer to the skin when the target is a human body) to the deep portion (closer to the bone when the target is a human body). It is divided for each predetermined depth. Specifically, the matrix MX is divided into three regions: an upper layer region closest to the surface portion, a lower layer region closest to the deepest portion, and a middle layer region intermediate the upper layer region and the lower layer region. Is done.

  It is desirable that a plurality of potentials be measured at any one of the upper layer area, the middle layer area, and the lower layer area. That is, in the treatment, it is desirable that the surface potential measured in the upper layer region and the deep potential measured in the lower layer region are separately measured, compared, and adjusted. Even if one of the surface potential measured at the surface portion and the deep potential measured at the deep portion is adjusted as a treatment target, the subject may not feel the effect of the treatment effectively.

  Thus, it is desirable that both the surface potential and the deep layer potential be measured and treated.

<Functional configuration example>
FIG. 17 is a block diagram illustrating a functional configuration example of the electric treatment apparatus according to the fourth embodiment. For example, the electric treatment apparatus 10 has a functional configuration including an output unit 10F1, an adjustment unit 10F2, a matrix generation unit 10F41, a first generation unit 10F42, a second generation unit 10F43, a storage unit 10F4, and a measurement unit 10F5. In addition, it is preferable that the electric treatment apparatus 10 has a functional configuration further including a learning unit 10F6. Hereinafter, a case where the functional configuration is as illustrated will be described as an example. Further, the same elements as those in the first embodiment and the like are denoted by the same reference numerals, and redundant description will be omitted.

  The output unit 10F1 performs an output procedure for outputting the electricity 11 to the human body 12. Then, when the human body 12 is in contact with the target 13, the electricity 11 flows to the target 13 via the human body 12. For example, the output unit 10F1 is realized by the generator 10H1 or the like. Note that, similarly to FIG. 7, a configuration in which the conductor 21 and the like are provided in the middle may be used.

  If the first matrix is different from the second matrix, the adjustment unit 10F2 performs an adjustment procedure for adjusting the electric current value. For example, the adjustment unit 10F2 is realized by the adjustment circuit 10H2 and the like.

  The matrix generation unit 10F41 performs a matrix generation procedure for generating a matrix that divides the target 13 into a plurality of regions. For example, the matrix generation unit 10F41 is realized by an arithmetic device, an interface, a storage device 10H4, and the like.

  The first generation unit 10F42 performs a first generation procedure of generating a first matrix in which the reference value V2 stored in the storage unit 10F4 is arranged in an area set by the matrix generation unit 10F41. For example, the first generation unit 10F42 is realized by an arithmetic device, a storage device 10H4, and the like.

  The second generation unit 10F43 performs a second generation procedure of generating a second matrix in which a plurality of measurement values V1 measured by the measurement unit 10F5 are arranged in an area set by the matrix generation unit 10F41. For example, the second generation unit 10F43 is realized by an arithmetic device, a storage device 10H4, and the like.

  The measurement unit 10F5 performs a measurement procedure of measuring a plurality of measurement values V1 indicating a result of measuring an electric characteristic such as a potential. The measurement value V1 is data indicating the electrical characteristics of the target 13. For example, the measurement unit 10F5 is realized by the sensor 10H5 and the like.

  The learning unit 10F6 performs a learning procedure of learning the adjustment by the adjustment unit 10F2 for each category. For example, the learning unit 10F6 is realized by an arithmetic device or the like.

  For a target such as a human body, a therapeutic effect can be ensured when a measurement and a treatment for outputting the electricity 11 are performed separately for regions such as a part. In order to perform such an effective treatment, the electric treatment device 10 uses a first matrix indicating the arrangement and values of ideal electric characteristics. That is, with the first matrix, it is possible to grasp the ideal balance and values of the electrical characteristics of the human body and the like.

  Then, the electric treatment apparatus 10 measures the electric characteristics of the human body or the like and generates the second matrix. In this way, it is possible to know which part of the object is in a state deviated from the ideal by the second matrix as compared with the first matrix. Then, it is desirable that the electric characteristics are adjusted or the like as compared with the surrounding area or the like. Therefore, it is desirable to be able to comprehend how the electrical characteristics of the human body and the like are distributed in a matrix, for example. Therefore, when the order of the reference values arranged in the first matrix and the order of the measurement values arranged in the second matrix are different, the first matrix and the second matrix have different tendencies of the electric characteristics, so that different matrices are used. It is desirable to be determined.

<Modification>
It is desirable that the range changed by the adjustment or the range that the device can output is a range determined by laws, guidelines, standards, or the like. For example, the range that can be changed by adjustment or the range that can be output by the device is “JIS T 2003: 2011 (home electric treatment device), [online], [searched on June 12, 2018], the Internet <URL: http : //kikakurui.com/t2/T2003-2011-01.html> ”or the range that is recognized as safe by the standards set by organizations such as the Japan Home Health Equipment Association. Specifically, when "JIS T 2003: 2011 (home electric treatment device)" is adopted, it is desirable that the absolute value of the maximum instantaneous value of the output voltage is less than "14000 volts".

  Note that the comparison target, the reference value, and the measurement value are not limited to the above current densities. For example, a current flowing in a predetermined section, a target hardness, a blood flow rate, a variation thereof, or the like may be calculated based on the electrical characteristics, and may be used as a comparison target, a reference value, and a measured value. In addition, the comparison target, the reference value, and the measurement value may be, for example, values relating to an electric potential, an electric field, an electric charge, a reflected wave, a magnetic field, and the like. On the other hand, as described above, in a case where personal data is acquired, adjustment may be performed based on personal data or the like.

  Further, the sensor is not limited to measuring electric characteristics. For example, the sensor may measure the shape of the waveform indicating the measured current value, the current value, the frequency, the body temperature, the light transmittance, or a combination thereof.

<Other embodiments>
Note that each device does not have to be realized by one device. That is, each device may be composed of a plurality of devices. For example, each device may include a plurality of information processing devices and perform each process in a distributed, parallel, or redundant manner.

  All or a part of each processing according to the present invention may be described in a low-level language such as an assembler or a high-level language such as an object-oriented language, and may be realized by a program for causing a computer to execute an information processing method. Good. That is, the program is a computer program for causing a computer such as an information processing device or an information processing system to execute each process.

  Therefore, when the information processing method is executed based on the program, the arithmetic device and the control device of the computer perform the arithmetic and control based on the program to execute each process. In addition, the storage device of the computer stores data used for processing based on a program in order to execute each processing.

  Further, the program can be recorded on a computer-readable recording medium and distributed. Note that the recording medium is a medium such as a magnetic tape, a flash memory, an optical disk, a magneto-optical disk, or a magnetic disk. Further, the program can be distributed through a telecommunication line.

  As described above, the preferred embodiment of the present invention has been described in detail, but the present invention is not limited to the above-described embodiment and the like. Therefore, various modifications or changes can be made to the embodiments within the scope of the present invention described in the claims.

Reference Signs List 10 electric treatment device 11 electricity 12 human body 13 target 20 electric treatment system V1 measurement value V2 reference value V3 comparison result PAR parameter 10F1 output unit 10F2 adjustment unit 10F3 comparison unit 10F4 storage unit 10F5 measurement unit 10F6 learning unit 10F41 matrix generation unit 10F42 first Generation unit 10F43 Second generation unit MX Matrix MX1 First matrix MX2 Second matrix

Claims (9)

An electric treatment device that supplies electricity to a target through a human body, and is connected to the human body,
An output unit that outputs the electricity to the human body;
A measuring unit that measures a plurality of measurement values indicating the electrical characteristics of the object,
A storage unit that stores a reference value indicating a value serving as a reference of the electrical characteristic,
A matrix generation unit that generates a matrix that divides the target into a plurality of regions;
A first generation unit that generates a first matrix in which the reference values are arranged in the area;
A second generation unit that generates a second matrix in which the measurement values are arranged in the area;
An electric treatment apparatus that includes an adjustment unit that adjusts the electric current value when the first matrix is different from the second matrix. The adjustment unit is
The electric treatment apparatus according to claim 1, wherein switching between output of the electric DC and output of the AC, and further adjusting a parameter of a current value, a voltage value, a frequency, a cycle, a pulse number, or a combination thereof. The electric treatment apparatus according to claim 1, further comprising a learning unit that learns the adjustment by the adjustment unit for each category. The electric treatment device according to claim 3, wherein the category is height, weight, gender, age, body fat percentage, or gender. The measurement unit is
Measured in a plurality of the regions from the surface potential of the object to the deep potential,
The first matrix and the second matrix are:
The electric treatment apparatus according to any one of claims 1 to 4, wherein the electric treatment apparatus is divided from a surface portion measuring the surface potential to a deep portion measuring the deep potential. The adjustment unit is
The values of the reference values arranged in the first matrix and the measured values arranged in the second matrix are different, or the order of the reference values arranged in the first matrix, and the order of the reference values arranged in the second matrix The electric treatment apparatus according to any one of claims 1 to 5, wherein when the order of the measured values to be measured is different, the first matrix and the second matrix are determined to be different. The first matrix and the second matrix are:
The electric treatment device according to any one of claims 1 to 6, wherein each of the electric treatment devices is classified into 9 x 9 or more. An electric treatment system having a conductive material and an electric treatment device connected to the conductive material, wherein electricity is supplied to a target through the conductive material,
An output unit that outputs the electricity to the conductor;
A measuring unit that measures a plurality of measurement values indicating the electrical characteristics of the object,
A storage unit that stores a reference value indicating a value serving as a reference of the electrical characteristic,
A matrix generation unit that generates a matrix that divides the target into a plurality of regions;
A first generation unit that generates a first matrix in which the reference values are arranged in the area;
A second generation unit that generates a second matrix in which the measurement values are arranged in the area;
An electric treatment system including an adjustment unit that adjusts the electric current value when the first matrix is different from the second matrix. An electric treatment control method performed by an electric treatment device connected to the human body, which supplies electricity to the target through the human body,
An electric treatment device, an output procedure for outputting the electricity to the human body,
An electrical treatment device, a measurement procedure of measuring a plurality of measurement values indicating the electrical characteristics of the object,
A storage procedure in which the electric treatment device stores a reference value indicating a value serving as a reference of the electric characteristic,
Matrix generation procedure for generating a matrix in which the electric treatment apparatus divides the target into a plurality of regions,
A first generation procedure in which the electric treatment apparatus generates a first matrix in which the reference values are arranged in the region;
A second generation procedure in which the electric treatment apparatus generates a second matrix in which the measurement values are arranged in the area;
An electric treatment control method, wherein the electric treatment device includes an adjustment procedure for adjusting the electric current value when the first matrix is different from the second matrix.

Images