Control program, control method, and control device

The control program and device use a learned model to generate personalized electrical stimulation patterns based on user preferences and environmental conditions, addressing the suboptimal satisfaction in conventional low-frequency therapeutic devices.

JP2025099826APending Publication Date: 2025-07-03OMRON HEALTHCARE CO LTD
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Patent Information

Application Number
JP2023216775
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-12-22
Publication Date
2025-07-03

AI Technical Summary

Technical Problem

Conventional low-frequency therapeutic devices do not adequately account for individual patient preferences and environmental conditions, leading to suboptimal treatment satisfaction.

Method used

A control program and device that utilize a learned model to generate a waveform pattern for electrical stimulation based on user-specific treatment policies, including desired intensity, site, time, pattern, and environmental factors, using machine learning to enhance treatment satisfaction.

Benefits of technology

Provides treatment content that aligns with user desires, enhancing satisfaction through personalized electrical stimulation patterns.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide a control program, a control method, and a control device capable of supplying an electrical stimulation with a waveform pattern corresponding to a treatment plan desired by a treatment object person.SOLUTION: A control program according to one aspect of the present invention causes a processor 11 of an information terminal 10 to execute processing of storing a learned model 60 that takes treatment plan information indicating a treatment plan desired by a user as input and takes waveform pattern information indicating a waveform pattern of an electrical stimulation applied to the user's body by a low-frequency therapy device 20 as output, acquiring waveform pattern information by inputting treatment plan information received from the user into the learned model 60, and controlling the waveform pattern of the electrical stimulation applied to the user's body by the low-frequency therapy device 20 on the basis of the acquired waveform pattern information.SELECTED DRAWING: Figure 1
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Description

Technical Field

[0001] The present invention relates to a control program, a control method, and a control device.

Background Art

[0002] Conventionally, a low-frequency therapeutic apparatus is known that attaches a pad having a conductive layer to a user's body and supplies a low-frequency pulsed current to the body to perform treatment such as relieving the user's stiff shoulders.

[0003] Patent Document 1 describes a biological information processing apparatus in which a reference value of target electrical characteristics (varying depending on a site and an attribute) is input, and parameters of electrical output are changed using a learning model so that the output measured by the therapeutic apparatus matches the reference value. Further, Patent Document 2 discloses a vibration device that uses a learning model to obtain vibration for relaxing a user. Further, Patent Document 3 discloses an electrical stimulation application device that controls a treatment time according to a use environment and a treatment site. Further, Patent Document 4 discloses an electrotherapeutic apparatus that allows a user to specify treatment content (treatment mode, treatment time, electrical stimulation intensity).

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Patent Document 2

Patent Document 3

Patent Document 4

Summary of the Invention

Problems to be Solved by the Invention

[0005] Treatment such as relieving stiff shoulders with low-frequency pulsed current usually varies in the treatment content desired by each patient receiving the treatment. Also, even in each patient, the treatment content desired varies depending on the patient's physical condition, environmental conditions, etc. at the time of receiving the treatment.

[0006] However, in the conventional technology, although it is disclosed to change the treatment content according to the part and attributes of the patient to be treated, it does not assume changing the treatment content desired by the patient according to the patient's physical condition, environmental conditions, etc. at the time of receiving the treatment. Therefore, there is room for further improvement in providing treatment content with high satisfaction according to the patient's wishes.

[0007] In one aspect, the present invention has been made in view of such circumstances, and its object is to provide a control program, a control method, and a control device capable of supplying electrical stimulation of a waveform pattern according to the treatment policy desired by the subject.

Means for Solving the Problems

[0008] In order to solve the above problems, the present invention adopts the following configuration.

[0009] (1) In a computer, store a learned model that takes, as input, treatment policy information indicating the treatment policy desired by the user, and outputs waveform pattern information indicating the waveform pattern of the electrical stimulation applied by the electrotherapeutic device to the user's body, acquire the waveform pattern information by inputting the treatment policy information received from the user into the learned model, control the waveform pattern of the electrical stimulation applied by the electrotherapeutic device to the user's body based on the acquired waveform pattern information, A control program for executing the process.

[0010] According to (1), it is possible to obtain waveform pattern information from a learned model according to the treatment policy desired by the user and generate a waveform pattern appropriate for the treatment of the user. Thereby, it is possible to provide treatment content according to the user's wishes.

[0011] (2) The control program according to (1), wherein the learned model is based on machine learning using the satisfaction of the subject being treated in treatment by electrical stimulation as teacher data. Control program.

[0012] (2) According to this, it is possible to provide treatment content with high satisfaction according to the wishes of the subject being treated.

[0013] (3) The control program according to (2), wherein the learned model is based on machine learning using the treatment policy information, the waveform pattern information, and the satisfaction as teacher data. Control program.

[0014] (3) According to this, it is possible to provide treatment content with even higher satisfaction according to the wishes of the subject being treated.

[0015] (4) The control program according to any one of (1) to (3), wherein the treatment policy includes the treatment intensity desired by the user. Control program.

[0016] As in (4), in order to provide treatment with high satisfaction, it is preferable that the treatment policy information includes treatment intensity.

[0017] (5) The control program according to any one of (1) to (4), wherein the treatment policy includes the treatment site desired by the user. Control program.

[0018] In order to provide highly satisfactory treatment as in (5), it is preferable that the treatment policy information includes the treatment site.

[0019] (6) A control program according to any one of (1) to (5), wherein the treatment policy includes the time of one treatment desired by the user, Control program.

[0020] In order to provide highly satisfactory treatment as in (6), it is preferable that the treatment policy information includes the time of one treatment.

[0021] (7) A control program according to any one of (1) to (6), wherein the treatment policy includes the stimulation pattern desired by the user, Control program.

[0022] In order to provide highly satisfactory treatment as in (7), it is preferable that the treatment policy information includes the treatment pattern.

[0023] (8) A control program according to any one of (1) to (7), wherein the learned model takes as inputs the treatment policy information and the attribute information indicating the attributes of the user, in the process of acquiring the waveform pattern information, the treatment policy information and the attribute information are input to the learned model, Control program.

[0024] In order to provide highly satisfactory treatment as in (8), it is preferable that the input information includes the attribute information of the user.

[0025] (9) A control program according to any one of (1) to (8), wherein the learned model takes as inputs the treatment policy information and the environmental information indicating the environment during treatment, In the process of acquiring the waveform pattern information, the treatment policy information and the environmental information are input into the learned model. Control program.

[0026] As in (9), in order to provide highly satisfactory treatment, it is preferable to include environmental information during treatment as input information.

[0027] (10) A computer stores a learned model that takes, as input, treatment policy information indicating a treatment policy desired by a user, and outputs waveform pattern information indicating a waveform pattern of an electrical stimulus applied by an electrotherapeutic device to the user's body. The waveform pattern information is acquired by inputting the treatment policy information received from the user into the learned model. Based on the acquired waveform pattern information, the waveform pattern of the electrical stimulus applied by the electrotherapeutic device to the user's body is controlled. Control method.

[0028] According to (10), it is possible to acquire waveform pattern information from a learned model according to a treatment policy desired by a user and generate a waveform pattern appropriate for the user's treatment. Thereby, treatment content according to the user's desire can be provided.

[0029] (11) a storage unit that stores a learned model that takes, as input, treatment policy information indicating a treatment policy desired by a user, and outputs waveform pattern information indicating a waveform pattern of an electrical stimulus applied by an electrotherapeutic device to the user's body; an acquisition unit that acquires the waveform pattern information by inputting the treatment policy information received from the user into the learned model; a control unit that controls the waveform pattern of the electrical stimulus applied by the electrotherapeutic device to the user's body based on the waveform pattern information acquired by the acquisition unit; A control device comprising:

[0030] (11) enables obtaining waveform pattern information from a learned model according to the treatment policy desired by the user and generating a waveform pattern appropriate for the user's treatment. Thereby, it is possible to provide treatment content according to the user's wishes.

Effect of the Invention

[0031] According to the present invention, it is possible to provide a control program, a control method, and a control device capable of supplying electrical stimulation of a waveform pattern according to the treatment policy desired by the subject to be treated.

Brief Description of the Drawings

[0032]

Figure 1

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Embodiments for Carrying Out the Invention

[0033] Hereinafter, embodiments according to one aspect of the present invention will be described with reference to the drawings.

[0034] <Configuration of Information Terminal 10 and Low-Frequency Therapy Device 20> FIG. 1 is a diagram showing an example of the information terminal 10 of the present invention and a low-frequency therapy device 20 capable of communicating with the information terminal 10. FIG. 2 is a diagram showing a state in which the pad portion 2 and the main body portion 3 of the low-frequency therapy device 20 are separated. The information terminal 10 is an example of the "control device" of the present invention. The low-frequency therapy device 20 is an example of the "electrical therapy device" of the present invention.

[0035] The low-frequency therapy device 20 is a device for performing treatment on a user by supplying a low-frequency pulsed current to the user to give an electrical stimulus. The frequency of the low-frequency pulsed current is, for example, about 1 to 1200 [Hz]. The low-frequency therapy device 20 is a cordless type low-frequency therapy device and includes a pad portion 2 and a main body portion 3.

[0036] The pad portion 2 is composed of a pad 21 and a holder 22. The pad 21 and the holder 22 are integrated in this example. "Integrated" means a state in which the pad 21 and the holder 22 are combined inseparably from each other in the normal use state. However, the pad 21 and the holder 22 may be separable from each other.

[0037] The pad 21 is a part that is attached to the user's body. This pad 21 includes a conductive layer 21a that supplies a low-frequency pulsed current to the user. The conductive layer 21a is exposed at least partially on each of the front and back surfaces of the pad 21. In this example, the conductive layer 21a is exposed on the entire back surface 211 of the pad 21 facing the user's body side and a part of the surface opposite to the back surface 211 of the pad 21.

[0038] The attachment of the pad 21 to the user's body is performed by attaching the back surface 211 of the pad 21 to the user's skin via a conductive gel attached to the treatment part 21Y on the back surface 211.

[0039] The pad 21 is, for example, a laminate in which a carbon layer, which is a conductor, is laminated on the surface of a base material made of a soft synthetic resin, and this carbon layer serves as the conductive layer 21a. The pad 21 has flexibility. The conductive layer 21a is provided separately for each polarity (+ pole and - pole) during energization. Note that since the polarity of the pad 21 may be alternately switched during energization, the conductive layer 21a dedicated to the + pole and the conductive layer 21a dedicated to the - pole do not fixedly exist, and the polarity is variable.

[0040] For example, as shown in FIG. 2, the pad 21 includes an attachment portion 21X attached to the holder 22, and a treatment portion 21Y extending from at least one of the attachment portions 21X and having the conductive layer 21a exposed.

[0041] The conductive layer 21a is also exposed on the surface that faces the main body portion 3 in the attachment portion 21X of the pad 21, and this exposed portion serves as the pad-side electrode portion 212. This pad-side electrode portion 212 is formed for electrical connection with the electrode (not shown) of the main body portion 3.

[0042] In this example, the conductive layer 21a corresponding to one pole (for example, the + pole) is exposed at one end in the width direction (the direction of arrow W21 in FIG. 2) of the attachment portion 21X, and the conductive layer 21a corresponding to the other pole (for example, the - pole) is exposed at the other end.

[0043] The holder 22 is a portion that holds the pad 21. In this example, the holder 22 is made of a hard resin and holds the attachment portion 21X of the pad 21 with a double-sided adhesive tape. Thereby, the pad 21 and the holder 22 are integrated.

[0044] This holder 22 includes a pad holding portion 221 that holds the attachment portion 21X of the pad 21, and wall portions 222 located at both ends of the pad holding portion 221. Note that the holding of the pad 21 is not limited to the method using double-sided adhesive tape, and for example, methods using heat welding or paste or adhesive may also be used.

[0045] Since the holder 22 is made of a hard resin, it is an insulator. Therefore, when the pad 21 is arranged across the backbone on the user's back, the insulator holder 22 can be aligned with the backbone so that the treatment portion 21Y of the pad 21 does not overlap the backbone.

[0046] Thereby, it is possible to suppress the flow of the low-frequency pulsed current through the user's backbone and spinal cord. Thus, it is possible to suppress damage to the backbone and spinal cord caused by the current, and the low-frequency treatment device 20 can be used safely. Also, in the attachment portion 21X of the pad 21, since it is not necessary to separately cover the portion overlapping the backbone with an insulating member, the configuration of the pad portion 2 can be simplified.

[0047] The pad 21 is a consumable item and is configured to be detachable from the main body portion 3 during replacement or the like. In this example, the holder 22 is integrated with the pad 21 to form the pad portion 2, and the main body portion 3 is configured to be detachable from the holder 22. The replacement of the pad 21 is performed, for example, together with the holder 22.

[0048] The main body portion 3 is a portion that applies a low-frequency pulsed current to the conductive layer 21a of the pad 21 by being attached to the holder 22. Inside the main body portion 3, a power supply portion such as a battery and an electric circuit (substrate) for forming a desired low-frequency pulsed current are arranged, and switches and a display portion may be provided on the outside.

[0049] Although not shown, electrodes that are electrically connected to the pad-side electrode portion 212 of the pad portion 2 project from the lower surface of the main body portion 3 facing the holder 22. The electrodes of the main body portion 3 are provided according to polarity.

[0050] In a state where the holder 22 is locked to the main body 3, the width dimension W22 of the holder 22 is formed to be smaller than the width dimension W3 of the main body 3. Since the holder 22 is made of a hard resin, it has poor flexibility. On the other hand, since the pad 21 has flexibility, by making the holder 22 narrower in width than the main body 3, the flexibility of the pad 21 is less likely to be inhibited by the main body 3. For this reason, it is easy to align the pad 21 along the curved surface of the user's body, so the pad portion 2 has good fitness to the user's body.

[0051] The information terminal 10 is an electronic device such as a smartphone or a tablet terminal possessed by the user. The information terminal 10 can perform wireless communication with the low-frequency therapeutic device 20. The information terminal 10 receives treatment policy information indicating the treatment policy desired by the user, attribute information indicating the attributes of the user, environment information indicating the environment during treatment, etc. based on the input operation from the user (the person to be treated) of the low-frequency therapeutic device 20. The information terminal 10 acquires waveform pattern information indicating the waveform pattern of the electrical stimulation applied by the low-frequency therapeutic device 20 to the user's body from the learned model provided in the information terminal 10 based on the information input from the user. The information terminal 10 transmits the waveform pattern information acquired from the learned model to the low-frequency therapeutic device 20.

[0052] <Hardware configuration of the main body 3> FIG. 3 is a block diagram showing an example of the hardware configuration of the main body 3. The main body 3 includes, for example, as shown in FIG. 3, a processor 31, a memory 32, a communication interface 33, a power supply unit 34, and a pad drive unit 35.

[0053] The processor 31 is, for example, a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). The processor 31 serves as a control unit that controls the operations of each part of the low-frequency therapeutic device 20 by reading and executing the programs stored in the memory 32. Note that the processor 31 may be a combination of a plurality of processors.

[0054] The memory 32 is realized by, for example, a RAM (Random Access Memory), a ROM (Read Only Memory), a flash memory, or the like. The memory 32 stores a program executed by the processor 31, data used by the processor 31, or the like.

[0055] The communication interface 33 may be a wireless communication interface or a wired communication interface. By providing the communication interface 33, the main body 3 can, for example, receive a command from another communication device such as the information terminal 10 to control the main body 3, or transmit information of the main body 3 to another communication device such as the information terminal 10. The communication interface 33 is controlled by the processor 31.

[0056] In addition to the communication interface 33, the main body 3 may include a user interface. The user interface includes, for example, an input device that receives an operation input from the user, an output device that outputs information to the user, and the like. The input device can be realized by, for example, a key or a remote control. The output device can be realized by, for example, a display or a speaker. Further, both the input device and the output device may be realized by a touch panel or the like. The main body 3 may receive, for example, treatment policy information indicating a treatment policy desired by the user, attribute information indicating the user's attributes, environment information indicating the environment during treatment, etc. via the input device of the communication interface 33.

[0057] The power supply unit 34 supplies power to each component of the low-frequency therapeutic apparatus 20. As the power supply, for example, an alkaline dry battery or a secondary battery such as a lithium-ion battery or a nickel-metal hydride battery is used to generate a driving voltage that stabilizes the battery voltage and supplies it to each component. Further, the power supply unit 34 may supply power to each component of the low-frequency therapeutic apparatus 20 using power supplied from a household power supply or the like, not limited to a battery.

[0058] The pad driving unit 35 controls the supply of the low-frequency pulsed current to the user by the pad 21 by applying a pulsed voltage to the pad 21. The pad driving unit 35 is controlled by the processor 31. The pulsed voltage applied by the pad driving unit 35 of the main body unit 3 to the pad 21 will be described later with reference to FIG. 5.

[0059] <Hardware Configuration of Information Terminal 10> FIG. 4 is a block diagram showing an example of the hardware configuration of the information terminal 10. The information terminal 10 includes, for example, as shown in FIG. 4, a processor 11, a memory 12, a communication interface 13, and a user interface 14. The processor 11 is an example of the "computer" of the present invention. Further, the processor 11 is an example of the "control unit" and "acquisition unit" of the present invention. The memory 12 is an example of the "storage unit" of the present invention.

[0060] The processor 11 is, for example, a processor such as a CPU or an MPU. The processor 11 serves as a control unit that controls the operations of each part of the information terminal 10 by reading and executing the programs stored in the memory 12. Note that the processor 11 may be a combination of a plurality of processors.

[0061] The memory 12 is realized by a RAM, a ROM, a flash memory, or the like. The memory 12 stores programs executed by the processor 11 or data used by the processor 11. For example, the memory 12 stores a learned model that takes, as inputs, treatment policy information indicating the treatment policy desired by the user (the patient), attribute information indicating the attributes of the user, environment information indicating the environment during treatment, etc., and outputs waveform pattern information indicating the waveform pattern of the electrical stimulation applied by the low-frequency treatment device 20 to the user's body.

[0062] The "treatment policy" includes the treatment intensity desired by the user, the treatment site desired by the user, the time for one treatment desired by the user, the stimulation pattern desired by the user, etc. The "treatment intensity" refers to the strength of the electrical stimulation and can be switched, for example, between strong, normal, weak, etc. The "treatment site" refers to the site of the user where the low-frequency treatment device 20 is attached, such as the arm, waist, shoulder, knee, etc. The "time for one treatment" refers to the time during which the electrical stimulation treatment continues and can be switched, for example, between 10 minutes, 20 minutes, etc. The time for one treatment may also be switched, for example, between longer and shorter. The "stimulation pattern" can be switched to patterns such as "kneading", "tapping", "pushing", "sweeping", etc.

[0063] The "attribute information" refers to, for example, the user's gender, age, height, weight, health condition, etc. The "environmental information" refers to, for example, the climate (weather, temperature, humidity, etc.), season, etc.

[0064] The "waveform pattern information" refers to information that can reproduce the waveform pattern, and may be parameters such as the intensity of the waveform, the frequency of the waveform, the pulse width of the waveform, the output pattern of the waveform, etc., or may be time-series data of the waveform intensity.

[0065] The "learned model" is a model of rules and patterns of data obtained by machine learning that prepares a large amount of combined information of treatment policy information, attribute information, environmental information, waveform pattern information, and the (intuitive) satisfaction of the user when treatment is performed under these conditions (treatment policy information + attribute information + environmental information + waveform pattern information), and uses these combined information as teacher data. The "satisfaction" refers to the satisfaction of the treated person in the treatment by the electrical stimulation of the low-frequency treatment device 20. The method of machine learning is not particularly limited, and for example, any method such as logistic regression, decision tree, random forest, gradient boosting decision tree, neural network, etc. can be used.

[0066] The communication interface 13 may be a wireless communication interface or a wired communication interface. By providing the communication interface 13, the information terminal 10 can, for example, receive information from an electrotherapy device such as a low-frequency therapy device 20 or transmit a command to an electrotherapy device such as the low-frequency therapy device 20 to control the electrotherapy device. Further, the information terminal 10 can communicate with a server 40 (described later with reference to FIGS. 10 and 11) having a learned model via the communication interface 13.

[0067] The user interface 14 includes, for example, an input device that receives an operation input from the user and an output device that outputs information to the user. The input device can be realized by, for example, a touch panel of a display in the information terminal 10. The output device can be realized by, for example, a display or a speaker. The user interface 14 is controlled by the processor 11.

[0068] For example, the processor 11 obtains waveform pattern information by inputting the treatment policy information, attribute information, and environmental information received from the user into the learned model, and controls the waveform pattern of the electrical stimulation applied by the low-frequency therapy device 20 to the user's body based on the obtained waveform pattern information. "Controlling the waveform pattern" means controlling the waveform pattern of the electrical stimulation by transmitting the waveform pattern information to the low-frequency therapy device 20.

[0069] <Pulse voltage applied by the main body 3 to the pad 21> FIG. 5 is a diagram showing an example of the pulse voltage applied by the main body 3 to the pad 21. The pulse voltage waveform 50 shown in FIG. 5 is an example of the waveform of the pulse voltage applied by the pad driving unit 35 of the main body 3 to the pad 21.

[0070] The parameters of the pulse voltage waveform 50 include the amplitude (voltage) V, the pulse width W, and the pulse period T (pulse frequency F = 1 / T). The main body 3 can change the treatment content for the user by changing at least one of these parameters.

[0071] Specifically, the main body 3 boosts the power supply voltage to a predetermined voltage and adjusts the boosted voltage to the voltage corresponding to the set amplitude. For example, the main body 3 can adjust the amplitude V of the pulse voltage at a predetermined number of levels (10 levels) according to an instruction from the user. When the main body 3 receives a setting input of a certain level from the user, it generates a treatment waveform (pulse waveform) corresponding to the treatment mode based on the amplitude V corresponding to that level, and outputs the generated treatment waveform to the pad-side electrode portion 212 of the pad 21. The level of the amplitude V of the pulse voltage is a parameter corresponding to the treatment intensity of the treatment policy.

[0072] A plurality of treatment modes are prepared in advance in the low-frequency therapeutic apparatus 20. For example, treatment modes include "kneading", "tapping", "pressing", "sweeping" modes, etc. The main body 3 applies an electrical stimulation corresponding to various modes to the user from the pad 21 by changing the waveform of the pulse voltage applied to the pad 21. The treatment mode is a parameter corresponding to the stimulation pattern of the treatment policy.

[0073] (Method for generating a trained machine learning model) FIG. 6 is a flowchart for explaining an example of a method for generating a trained machine learning model. In this example, the case of generating a trained model using treatment policy information and attribute information as inputs will be described.

[0074] The generator of the trained model first collects the satisfaction of the subject who has received the treatment of the low-frequency therapeutic apparatus 20 for each combination of the subject who has received the treatment and the waveform pattern of the electrical stimulation given to the subject. For example, it is preferable to have a large number of subjects receive the treatment for each prepared waveform pattern and collect a large amount of combination information on the satisfaction of the subjects with the treatment.

[0075] The generator of the learned model receives input of the treatment policy information desired by the subject to be treated and the attribute information of the subject from the subject to be treated (step S1). As described above, the treatment policy information is information such as the intensity of electrical stimulation, the treatment site, the treatment time, and the stimulation pattern such as "kneading" and "tapping". The attribute information is information such as gender, age, height, weight, and health status. The treatment policy information may be set by the generator side that generates the learned model and notified to the subject who will receive the treatment before the treatment. The attribute information may be obtained by asking each subject and input by the generator side of the learned model.

[0076] The generator of the learned model treats the subject to be treated with the target waveform pattern based on the treatment policy information received from the subject (step S2).

[0077] The generator of the learned model receives input of the satisfaction with the treatment from the subject to be treated, for example, after the treatment of the subject (step S3). The input of satisfaction is received, for example, by a touch operation on the display of the information terminal 10. For example, "Please let us know your satisfaction with the treatment content this time.", Satisfaction: "1 point", "2 points", "3 points", "4 points", "5 points" may be displayed on the display of the information terminal 10, and each subject may be asked to input, or the generator side may input the answers heard from each subject.

[0078] Next, the generator of the learned model generates a learned model for each combination of the subject and the waveform pattern based on the information collected in the above steps S1 to S3.

[0079] The generator of the learned model creates a data set composed of the combination of the treatment policy information and the attribute information received from the subject in step S1, the waveform pattern used to treat the subject in step S2, and the satisfaction received from the subject in step S3 (step S4).

[0080] The generator of the learned model generates a learned model by machine learning using the dataset created in step S4 as teacher data (step S5). The learned model outputs a waveform pattern that is estimated to maximize the satisfaction of the subject for the input of treatment policy information and attribute information.

[0081] Note that the machine learning in step S5 is performed by an arbitrary computer. For example, the machine learning in step S5 is performed on a server, and the learned model generated by the server is transmitted to the information terminal 10.

[0082] <Operation example of information terminal 10 and low-frequency therapeutic apparatus 20> FIG. 7 is a sequence diagram showing an example of the operations of the information terminal 10 and the low-frequency therapeutic apparatus 20. In the example shown in FIG. 7, the case where the information terminal 10 has the learned model 60 will be described.

[0083] First, the user U1 operates the information terminal 10 to input desired treatment policy information and the attribute information of the user U1 (step S11).

[0084] Next, based on the treatment policy information and the attribute information input from the user U1, the information terminal 10 acquires waveform pattern information indicating the waveform pattern of the electrical stimulation to be applied to the body of the user U1 for the treatment of the user U1 from the learned model 60 (step S12). The information terminal 10 transmits the acquired waveform pattern information to the low-frequency therapeutic apparatus 20 (step S13).

[0085] Next, based on the waveform pattern information transmitted from the information terminal 10, the low-frequency therapeutic apparatus 20 applies an electrical stimulation corresponding to the waveform pattern to the user U1 (step S14).

[0086] <Example of a screen for receiving treatment policy information> FIG. 8 is a diagram showing an example of a reception screen for treatment policy information displayed on the information terminal 10.

[0087] For example, as the reception screen for the treatment policy information in step S11 described with reference to FIG. 7, an input operation screen as shown in FIG. 8 is displayed on the touch panel 14a of the information terminal 10. Specifically, in order to allow the user to input information on the treatment policy, for example, "Please tell us your preference regarding treatment." is displayed. Also, in order to allow the user to input their desired intensity of electrical stimulation, for example, "Which do you prefer?" along with the options "Strong stimulation" or "Weak stimulation" is displayed. Further, in order to allow the user to input the desired treatment time, for example, "What is the treatment time?" along with the options "10 minutes" or "20 minutes" is displayed. Additionally, a "Treatment start" button for starting the treatment is displayed.

[0088] Regarding the user's attribute information, it may be received together with the treatment policy information, or may be registered in advance in the application of the information terminal 10. Also, the treatment policy information may be registered in advance in the application of the information terminal 10.

[0089] <Example of a screen for receiving treatment satisfaction> FIG. 9 is a diagram showing an example of the reception screen for treatment satisfaction displayed on the information terminal 10. In step S3 in the method for generating the learned model of FIG. 6, the reception of the satisfaction with the treatment from the subject was described, but the reception of satisfaction is not limited to the generation of the learned model. For example, after the user receives treatment with the low-frequency treatment device 20 as shown in FIG. 7, the satisfaction with that treatment may be received (collected). In that case, as the satisfaction reception screen after the treatment, an input operation screen as shown in FIG. 9 is displayed on the touch panel 14a of the information terminal 10.

[0090] Specifically, in order to obtain the user's response regarding the satisfaction with the treatment content, for example, "How was the treatment?" along with the options "Good" or "Not good" is displayed. Note that the result of this satisfaction response may be used as information for updating the learned model by providing feedback and further machine learning. Also, the satisfaction options may be displayed as, for example, satisfaction: "1 point", "2 points", "3 points", "4 points", "5 points" as described in FIG. 6.

[0091] As described above, the information terminal 10 receives, as inputs from the user, treatment policy information desired by the user, the user's attribute information, and environmental information during treatment, and inputs the received treatment policy information, attribute information, and environmental information into the learned model, thereby obtaining waveform pattern information indicating the waveform pattern of the electrical stimulation applied to the user's body from the learned model, and can transmit the obtained waveform pattern information to the low-frequency treatment device 20. According to this configuration, it is possible to obtain waveform pattern information appropriate for the user's treatment from the learned model according to the treatment policy desired by the user. Thereby, it is possible to provide the user with treatment content with a high degree of satisfaction according to the user's wishes.

[0092] Also, every time the user receives treatment with the low-frequency treatment device 20, the user's satisfaction with the treatment is collected and the learned model is updated, so that it is further possible to provide the user with treatment content with a high degree of satisfaction according to the user's wishes.

[0093] <Operation example of information terminal 10, server 40, and low-frequency treatment device 20> FIG. 10 is a sequence diagram showing an example of the operations of the information terminal 10, the server 40, and the low-frequency treatment device 20. In the example of FIG. 7 described above, the information terminal 10 has the learned model 60, but the present invention is not limited thereto. For example, as shown in FIG. 10, a server 40 communicable with the information terminal 10 may have the learned model 60. The server 40 may be, for example, a physical server or a virtual server (cloud server).

[0094] Also in this case, first, the information terminal 10 is operated to input the treatment policy information desired by the user U1 and the attribute information of the user U1 (step S21).

[0095] Next, the information terminal 10 transmits the input treatment policy information and attribute information to the server 40 (step S22).

[0096] Next, the server 40 obtains, from the learned model 60, waveform pattern information indicating a waveform pattern of an electrical stimulus to be applied to the body of the user U1 for the treatment of the user U1 based on the received treatment policy information and attribute information (step S23). The server 40 transmits the obtained waveform pattern information to the information terminal 10 (step S24).

[0097] Next, the information terminal 10 transmits the received waveform pattern information to the low-frequency therapeutic apparatus 20 (step S25).

[0098] Next, the low-frequency therapeutic apparatus 20 applies an electrical stimulus corresponding to the waveform pattern to the user U1 based on the received waveform pattern information (step S26).

[0099] In this example, the case where the server 40 transmits the waveform pattern information to the information terminal 10 and the information terminal 10 transmits the waveform pattern information to the low-frequency therapeutic apparatus 20 has been described, but the present invention is not limited thereto. For example, the server 40 and the low-frequency therapeutic apparatus 20 may be configured to be communicable, and the server 40 may transmit the waveform pattern information to the low-frequency therapeutic apparatus 20 without passing through the information terminal 10.

[0100] <Hardware Configuration of Server 40> FIG. 11 is a block diagram showing an example of the hardware configuration of the server 40. The server 40 includes, for example, a processor 41, a memory 42, and a communication interface 43 as shown in FIG. 11. The processor 41 is an example of the "computer" of the present invention. Further, the processor 41 is an example of the "control unit" and "acquisition unit" of the present invention. The memory 42 is an example of the "storage unit" of the present invention.

[0101] The processor 41 is, for example, a processor such as a CPU or an MPU. The processor 41 serves as a control unit that controls the operations of the respective parts of the server 40 by reading and executing the programs stored in the memory 42. Note that the processor 41 may be a combination of a plurality of processors.

[0102] The memory 42 is realized by a RAM, a ROM, a flash memory, or the like. The memory 42 stores a program executed by the processor 41, data used by the processor 41, and the like. For example, the memory 42 takes as input treatment policy information indicating a treatment policy desired by a user (a patient), attribute information indicating the user's attributes, environment information indicating the environment during treatment, and the like, and stores a learned model 60 that outputs waveform pattern information indicating the waveform pattern of the electrical stimulation applied by the low-frequency therapeutic apparatus 20 to the user's body.

[0103] The communication interface 43 may be a wireless communication interface or a wired communication interface. By providing the communication interface 43, the server 40 can communicate with, for example, the information terminal 10, the low-frequency therapeutic apparatus 20 (electrical therapeutic apparatus), and the like.

[0104] For example, the processor 41 obtains waveform pattern information by inputting the treatment policy information, attribute information, and environment information received from the user into the learned model, and controls the waveform pattern of the electrical stimulation applied by the low-frequency therapeutic apparatus 20 to the user's body based on the obtained waveform pattern information. "Controlling the waveform pattern" means controlling the waveform pattern of the electrical stimulation by transmitting the waveform pattern information to the low-frequency therapeutic apparatus 20.

[0105] Even when the server 40 has a learned model as in this example, it is possible to obtain waveform pattern information appropriate for the user's treatment from the learned model according to the treatment policy desired by the user. Thereby, it is possible to provide the user with treatment content having a high degree of satisfaction according to the user's wishes.

[0106] <Operation example of the low-frequency therapeutic apparatus 20> FIG. 12 is a sequence diagram showing an example of the operation of the low-frequency treatment device 20. As shown in FIG. 12, the learned model 60 may be provided in the low-frequency treatment device 20. In this configuration, the processor 31 of the low-frequency treatment device 20 serves as an example of the "computer" of the present invention, or an example of the "control unit" and "acquisition unit" of the present invention. Further, the memory 32 of the low-frequency treatment device 20 serves as an example of the "storage unit" of the present invention.

[0107] First, the low-frequency treatment device 20 is operated to input the treatment policy information desired by the user U1 and the attribute information of the user U1 (step S31).

[0108] Next, based on the treatment policy information and attribute information input from the user U1, the low-frequency treatment device 20 acquires waveform pattern information indicating the waveform pattern of the electrical stimulation to be applied to the body of the user U1 for the treatment of the user U1 from the learned model 60 (step S32). Based on the acquired waveform pattern information, the low-frequency treatment device 20 applies an electrical stimulation corresponding to the waveform pattern to the user U1 (step S33).

[0109] In this way, the processor of the low-frequency treatment device 20 inputs the treatment policy information and attribute information (which may include environmental information) received from the user U1 into the learned model to acquire waveform pattern information, and based on the acquired waveform pattern information, controls the waveform pattern of the electrical stimulation to be applied to the body of the user U1. "Controlling the waveform pattern" means applying an electrical stimulation based on the waveform pattern information to the user U1.

[0110] Even when the low-frequency treatment device 20 has a learned model as in this example, it is possible to acquire waveform pattern information appropriate for the treatment of the user from the learned model according to the treatment policy desired by the user. Thereby, it is possible to provide the user with treatment content with high satisfaction according to the user's wishes.

[0111] <Another configuration example of the low-frequency treatment device> FIG. 13 is a diagram showing another configuration example of the low-frequency therapeutic apparatus. As the configuration of the low-frequency therapeutic apparatus described above, the cordless type low-frequency therapeutic apparatus 20 has been described. However, the low-frequency therapeutic apparatus may be a wired type low-frequency therapeutic apparatus 200 as shown in FIG. 13, for example.

[0112] The low-frequency therapeutic apparatus 200 includes a main body 205 of the therapeutic apparatus, a pair of pads 270 for attaching to the treatment site, and a cord 280 for electrically connecting the main body 205 and the pads 270. Similar to the low-frequency therapeutic apparatus 20, the low-frequency therapeutic apparatus 200 is also an electrotherapeutic apparatus that performs treatment such as relieving the user's stiff shoulders by supplying a low-frequency pulsed current.

[0113] The pad 270 has a sheet-like shape and is attached to the user's body. A plug corresponding to an electrode (not shown) formed on the other surface (the surface that contacts the body) is provided on one surface (the surface that does not contact the body) of the pad 270. The electrode is formed of, for example, a conductive gel-like material or the like.

[0114] By connecting the plug 282 of the cord 280 and the plug on the pad 270 side and inserting the cord 280 into the jack of the main body 205, the main body 205 and the pads 270 are connected. When the polarity of the electrode formed on one pad 270 is positive, the polarity of the electrode formed on the other pad 270 is negative.

[0115] The main body 205 is provided with an operation interface 230 composed of various buttons and a display 260. The operation interface 230 includes a power button 232 for switching on / off the power, a mode selection button 234 for selecting the treatment mode, a treatment start button 236, and an adjustment button 238 for adjusting the strength (stimulus intensity) of the electrical stimulation.

[0116] Note that the operation interface 230 is not limited to the above configuration, and any configuration that can implement various operations by the user may be used. The operation interface 230 may be configured by, for example, other buttons, dials, switches, etc.

[0117] On the display 260, the electrical stimulation intensity, the remaining treatment time, the treatment mode, the wearing state of the pad 270, etc. are displayed, or various messages are displayed.

[0118] In the low-frequency therapeutic apparatus 200, the main body unit 205 and the pad 270 have functions corresponding to the main body unit 3 and the pad 21 in the low-frequency therapeutic apparatus 20. That is, the main body unit 205 controls the supply of a low-frequency pulsed current that gives an electrical stimulation for treatment from the pad 270.

[0119] <Control program> Note that the control methods of the information terminal 10, the server 40, and the low-frequency therapeutic apparatuses 20 and 200 described in the above-described embodiments can be realized by executing a pre-prepared control program on a computer. This control program is recorded on a computer-readable storage medium and is executed by being read from the storage medium. Further, this control program may be provided in a form stored in a non-transitory storage medium such as a flash memory, or may be provided via a network such as the Internet.

Explanation of reference numerals

[0120] 2 Pad part 3, 205 Main body unit 10 Information terminal 11, 31, 41 Processor 12, 32, 42 Memory 13, 33, 43 Communication interface 14 User interface 14a Touch panel 20, 200 Low-frequency therapeutic apparatus 21, 270 Pad 21X Mounting part 21Y Treatment part 21a conductive layer 22 holder 34 power supply unit 35 pad driving unit 40 server 50 pulse voltage waveform 60 trained model 211 back surface 212 pad-side electrode part 221 pad holding part 222 wall part 230 operation interface 232 power button 234 mode selection button 236 treatment start button 238 adjustment button 260 display 280 cord 282 plug U1 user

Claims

1. A computer stores a learned model that takes, as input, treatment policy information indicating a treatment policy desired by a user, and outputs waveform pattern information indicating a waveform pattern of an electrical stimulus applied by an electrical treatment device to the user's body, obtains the waveform pattern information by inputting the treatment policy information received from the user into the learned model, and controls, based on the obtained waveform pattern information, a waveform pattern of the electrical stimulus applied by the electrical treatment device to the user's body, and executes a control program for the processing.

2. The control program according to claim 1, wherein the learned model is based on machine learning using, as teacher data, the satisfaction of the subject being treated in treatment by electrical stimulation.

3. The control program according to claim 2, wherein the learned model is based on machine learning using, as teacher data, the treatment policy information, the waveform pattern information, and the satisfaction.

4. The control program according to claim 1, wherein the treatment policy includes a treatment intensity desired by the user.

5. The control program according to claim 1, wherein the treatment policy includes a treatment site desired by the user.

6. The control program according to claim 1, wherein the treatment policy includes the time of one treatment desired by the user.

7. The control program according to claim 1, wherein the treatment policy includes a stimulation pattern desired by the user.

8. The control program according to claim 1, wherein the learned model takes, as input, the treatment policy information and attribute information indicating the attributes of the user, and in the process of obtaining the waveform pattern information, the treatment policy information and the attribute information are input into the learned model.

9. The control program according to any one of claims 1 to 8, wherein the learned model takes, as input, the treatment policy information and environment information indicating the environment during treatment, and in the process of obtaining the waveform pattern information, the treatment policy information and the environment information are input into the learned model.

10. A computer, ​ ​ ​ ​ ​ ​ ​ ​ ​ A learned model is stored that takes, as input, treatment policy information indicating a treatment policy desired by a user, and outputs waveform pattern information indicating a waveform pattern of an electrical stimulus applied by an electrotherapy device to the user's body. The waveform pattern information is obtained by inputting the treatment policy information received from the user into the learned model. Based on the obtained waveform pattern information, the waveform pattern of the electrical stimulus applied by the electrotherapy device to the user's body is controlled. Control method.

11. A storage unit that stores a learned model that takes, as input, treatment policy information indicating a treatment policy desired by a user, and outputs waveform pattern information indicating a waveform pattern of an electrical stimulus applied by an electrotherapy device to the user's body; An acquisition unit that obtains the waveform pattern information by inputting the treatment policy information received from the user into the learned model; A control unit that controls the waveform pattern of the electrical stimulus applied by the electrotherapy device to the user's body based on the waveform pattern information obtained by the acquisition unit. A control device comprising the above.

Citation Information

Patent Citations

  • Biometric information processing device, biometric information processing method, and program

    JP2018094334A

  • Electrotherapy device, control method, and treatment system

    JP2019024721A

  • Vibration device

    JP2019187780A

  • Electric stimulus application device and electric stimulus application method

    JP2020146293A