Measurement device, information provision method, and selection method each for selecting muscle causing functional movement disorder

Abstract

The present invention addresses the problem of providing a measuring device for selecting a muscle that causes functional movement disorder. This measurement device includes a myoelectric measurement unit, a storage unit, and a calculation unit. The myoelectric measurement unit includes: a base material attachable to a measurement site; a plurality of electrodes disposed on the base material so as to allow contact with the measurement site; and a circuit board for outputting a myoelectric signal based on a potential difference between the plurality of electrodes. The storage unit can store a first myoelectric signal of the measurement site in a healthy state measured by the myoelectric measurement unit and / or a second myoelectric signal that is obtained from the measurement site having developed functional movement disorder and measured by the myoelectric measurement unit. The calculation unit compares the first myoelectric signal and the second myoelectric signal to select a muscle that causes functional movement disorder from among a plurality of muscles constituting the measurement site.

Description

Measuring device, information providing method, and selection method for selecting muscles causing functional movement disorders

[0001] The disclosure in the present application relates to a measuring device for selecting muscles causing functional movement disorders, an information providing method for selecting muscles causing functional movement disorders, and a selection method for selecting muscles causing functional movement disorders using the information provided by the information providing method.

[0002] Functional movement disorder is a general term for neurological diseases characterized by neurological symptoms such as involuntary movements and bradykinesia. For example, diseases such as focal dystonia and dyskinesia are known. Focal dystonia is a neurological disease that causes involuntary and persistent muscle contractions. Due to this contraction, postural abnormalities occur, and it affects parts of the body such as the hand (writer's cramp), finger (musician's dystonia), neck (spasmodic torticollis), eyelid (blepharospasm), larynx (laryngeal dystonia), and mandible (jaw oral dystonia).

[0003] As treatment methods for focal dystonia, oral medications, neuromodulation, surgery, and botulinum toxin (BoNT) are known (see Patent Document 1). Among them, BoNT injection is often used as a treatment method because it has minimal side effects and is effective. When botulinum toxin (BoNT) is injected, it relaxes the muscles for several months, suppresses muscle spasms, and can prevent the release of the excitatory neurotransmitter acetylcholine.

[0004] Japanese Patent Publication No. 2009-535370

[0005] As described above, in the treatment of focal dystonia, BoNT injection is a common treatment method. However, there are many problems regarding the selection of the injection target muscle (TMI) that has a significant impact on the treatment result. For example, in the case of upper limb dystonia, the forearm muscles are often the target of TMI. However, the forearm is composed of 17 muscles, many of which are redundant in terms of movement generation and are located deep inside the forearm. Therefore, the development of a method (device) for appropriately selecting muscles from these muscles is desired.

[0006] The disclosure of this application was made to solve the above-mentioned problems. Through diligent research, the inventors have newly discovered that (1) by comparing a first electromyographic signal measured from a measurement site in a healthy state without functional movement disorder with a second electromyographic signal measured from a measurement site with functional movement disorder, (2) it is possible to select the muscle causing the functional movement disorder from among multiple muscles constituting the site where functional movement disorder occurs.

[0007] In other words, the purpose of disclosure in this application is to provide a measuring device for selecting muscles that cause functional movement disorders, a method for providing information for selecting muscles that cause functional movement disorders, and a selection method for selecting muscles that cause functional movement disorders using the information provided by the information provision method.

[0008] The disclosure in this application relates to a measuring device, an information provision method, and a selection method for selecting muscles that cause functional motor disorders, as described below.

[0009] (1) A measuring device for selecting a muscle that causes functional movement disorder, the measuring device comprising an electromyography (EMG) measuring unit, a storage unit, and a calculation unit, wherein the EMG measuring unit comprises a base material that can be attached to a measurement site, a plurality of electrodes arranged on the base material so as to be in contact with the measurement site, and a circuit board for outputting an EMG signal based on the potential difference between the plurality of electrodes, the storage unit can store a first EMG signal of the measurement site in a healthy state measured by the EMG measuring unit, and / or a second EMG signal obtained from the measurement site exhibiting functional movement disorder measured by the EMG measuring unit, and the calculation unit selects a muscle that causes functional movement disorder from among a plurality of muscles constituting the measurement site by comparing the first EMG signal and the second EMG signal. (2) The measuring device according to (1) above, wherein the first EMG signal and the second EMG signal are EMG signals obtained from different individuals. (3) The measuring device according to (1) above, wherein the first electromyographic signal and the second electromyographic signal are electromyographic signal data obtained from the same person. (4) The measuring device according to any one of (1) to (3) above, further comprising an imaging unit for imaging the measurement site. (5) The measuring device according to (4) above, wherein the storage unit stores first imaging data obtained by imaging the measurement site in a healthy state and the first electromyographic signal as first related data, and / or second imaging data obtained by imaging the measurement site in which the functional movement disorder has developed and the second electromyographic signal as second related data, and the calculation unit selects the muscle causing the functional movement disorder from among a plurality of muscles constituting the measurement site by comparing the first related data and the second related data. (6) The measuring device according to any one of (1) to (5) above, wherein the functional movement disorder is focal dystonia.(7) A method for providing information for selecting a muscle that causes functional movement disorder, the method for providing information is performed using an electromyography measurement unit which includes a base material that can be attached to a measurement site, a plurality of electrodes arranged on the base material so as to be in contact with the measurement site, and a circuit board for outputting an electromyographic signal based on the potential difference between the plurality of electrodes, the method for providing information includes: a first electromyographic signal provision step of measuring the electromyographic signal of the measurement site in a healthy state and providing the measured electromyographic signal as a first electromyographic signal; and a second electromyographic signal provision step of measuring the electromyographic signal of the measurement site that has developed functional movement disorder and providing the measured electromyographic signal as a second electromyographic signal. (8) The method for providing information according to (7) above, wherein the first electromyographic signal and the second electromyographic signal are electromyographic signals obtained from different persons. (9) The method for providing information according to (7) above, wherein the first electromyographic signal and the second electromyographic signal are electromyographic signals obtained from the same person. (10) The information provision method according to any one of (7) to (9) above, wherein when measuring the first electromyogram signal, first imaging data is obtained by imaging the measurement site in a healthy state using an imaging unit, and in the first electromyogram signal provision step, the first electromyogram signal and the first imaging data are provided as first related data relating the first electromyogram signal and the first imaging data; and when measuring the second electromyogram signal, second imaging data is obtained by imaging the measurement site where the functional motor disorder is occurring using an imaging unit, and in the second electromyogram signal provision step, the second electromyogram signal and the second imaging data are provided as second related data relating the second electromyogram signal and the second imaging data. (11) The information provision method according to any one of (7) to (10) above, wherein the functional motor disorder is focal dystonia. (12) A selection method for selecting a muscle that causes functional movement disorder, the selection method comprising a selection step of selecting a muscle that causes functional movement disorder from among a plurality of muscles constituting the measurement site by comparing the first electromyographic signal and the second electromyographic signal provided by the information provision method described in any one of (7) to (11) above. (13) A program for causing a computer to execute each step of the information provision method described in any one of (7) to (11) above. (14) A program for causing a computer to execute the selection step of the selection method described in (12) above.(15) A program that causes a computer to perform each step of the information provision method described in any one of (7) to (11) above, and to perform the selection step of the selection method described in (12) above. (16) A computer-readable recording medium on which the program described in any one of (13) to (15) above is recorded.

[0010] The measuring device, information provision method, and selection method disclosed in this application for selecting the muscle causing the functional movement disorder make it possible to select the muscle causing the functional movement disorder from among multiple muscles that constitute the site where the functional movement disorder is occurring.

[0011] Figure 1 is a schematic diagram of the measuring device 1 according to the embodiment. Figure 2 is a schematic diagram illustrating the outline of the electromyography measurement unit 1a. Figure 3 is a schematic diagram illustrating the outline of the electromyography measurement unit 1a. Figure 4 is a schematic diagram illustrating the outline of the electromyography measurement unit 1a. Figure 5 is a schematic diagram illustrating the outline of the electromyography measurement unit 1a. Figure 6 is a schematic diagram illustrating the outline of the electromyography measurement unit 1a. Figure 7A is a flowchart of the information provision method. Figure 7B is a flowchart of the selection method. Figure 7C is a flowchart of the treatment method. Figure 8 is a photograph used as a substitute for a drawing, where Figure 8A is a photograph of the electromyography measurement unit 1a made in Example 1, and Figure 8B is a photograph of the made electromyography measurement unit 1a attached to the forearm. Figures 9A to 9C show the pre-treatment data obtained in Example 2. Figures 9D to 9F show data on changes in muscle activity and movement after lidocaine injection. Figure 10A shows a heatmap of 17 types of muscle activity (at rest) in the forearm, analyzed by an AI system using data obtained in Example 2, with the upper panel being a bar graph of the heatmap. Figure 10B shows a heatmap of 17 types of muscle activity (during dorsiflexion) in the forearm, analyzed by an AI system using data obtained in Example 2, with the lower panel being a bar graph of the heatmap. Figure 11 shows a graph and photographs of the maximum wrist dorsiflexion angle before and after treatment. Figure 12A shows a heatmap and bar graph of 17 types of muscle activity (at rest) in the forearm of 20 healthy individuals and patient P-1. Figure 12B shows a heatmap and bar graph of 17 types of muscle activity (at rest) in the forearm of patients P-2 and P-3. Figure 12C shows a heatmap and bar graph of 17 types of muscle activity (at rest) in the forearm of patients P-4 and P-5. Figure 12D shows heatmaps and bar graphs of 17 types of muscle activity (at rest) in the forearms of patients P-6 and P-7. Figure 13A shows the changes in the abnormal activity levels of the causative muscles in seven patients, and Figure 13B shows the changes in the average value of the Visual Analog Scale (VAS) for pain measured in the seven patients.

[0012] The following describes in detail the measuring device for selecting muscles causing functional movement disorders (hereinafter sometimes simply referred to as the "measuring device"), the information provision method for selecting muscles causing functional movement disorders (hereinafter sometimes simply referred to as the "information provision method"), and the selection method for selecting muscles causing functional movement disorders using the information provided by the information provision method (hereinafter sometimes simply referred to as the "selection method"). Note that the positions, sizes, and ranges of each component shown in the drawings may not represent their actual positions, sizes, and ranges in order to facilitate understanding. Therefore, the disclosures in this application are not necessarily limited to the positions, sizes, and ranges disclosed in the drawings. In this specification, components with similar functions are denoted by the same or similar reference numerals. Furthermore, repeated explanations of components denoted by the same or similar reference numerals may be omitted. Furthermore, in this specification, "functional motor disorder" is a general term for neurological diseases characterized by neurological symptoms such as involuntary movements and bradykinesia, and specifically includes focal dystonia, dyskinesia, bradykinesia, akinesia, tremor, rigidity, spasticity, etc.

[0013] Furthermore, in this specification, (1) a numerical range expressed using "~" means a range that includes the numerical values ​​written before and after "~" as the lower and upper limits, (2) numerical values, numerical ranges, and qualitative expressions (for example, expressions such as "identical" and "same") indicate numerical values, numerical ranges, and properties that include errors that are generally acceptable in the relevant technical field, and (3) when it is written as "approximately ○○ shape", it is interpreted to include not only the exact ○○ shape but also a shape that is understood to be approximately ○○ shape.

[0014] (Embodiment of the measuring device) The measuring device 1 according to the embodiment will be described with reference to Figure 1. Figure 1 is a schematic configuration diagram of the measuring device 1 according to the embodiment. Figures 2 to 6 are schematic diagrams for illustrating the outline of the electromyography measuring unit 1a. The measuring device 1 includes at least the electromyography measuring unit 1a, the storage unit 1b, and the calculation unit 1c. The measuring device 1 may also optionally include an imaging unit 1d, a control unit 1e, and a program memory 1f.

[0015] An example of the electromyography measurement unit 1a will be described with reference to Figures 2 and 3. Figure 2A shows the configuration of the side (inner side) (first side) of the electromyography measurement unit 1a that comes into contact with the measurement site of the subject, and Figure 2B shows the configuration of the side (outer side) (second side) of the electromyography measurement unit 1a opposite to Figure 2A. Figure 3 is a diagram showing the state when the electromyography measurement unit 1a is in use. The electromyography measurement unit 1a includes at least a base material 2 that can be attached to the measurement site, a plurality of electrodes 3 arranged on the base material 2 so as to be able to contact the measurement site, and a circuit board 6 for outputting an electromyography signal based on the potential difference between the plurality of electrodes 3.

[0016] The base material 2 is not particularly limited as long as it can secure the electrode 3 to the subject with a force sufficient to prevent the electrode 3 from shifting when attached to the measurement site. Examples of base material 2 include highly elastic fabrics such as stretchable flat rubber or tuck-knit fabric. In the examples shown in Figures 2 and 3, fasteners 4a and 4b are provided on the edge of the base material 2 for wrapping and securing it to a measurement site such as the upper arm. When the electromyography measurement unit 1a is used by wrapping it around the upper arm, the base material 2 has a size of approximately 180 mm on the side corresponding to the circumferential direction when it is cylindrical (the side without fasteners 4a and 4b) and approximately 100 mm on the side corresponding to the axial direction (the side with fasteners 4a and 4b). The base material 2 may stretch from 180 mm to 200 mm or 230 mm in the circumferential direction. Note that the above values ​​are merely examples and may be larger or smaller than the above values.

[0017] Furthermore, the values ​​mentioned above are for when the electromyography measurement unit 1a is wrapped around the upper arm. Functional motor disorders are not limited to the upper limbs, but are known to occur in various parts of the body, such as the feet, neck, and trunk. Therefore, the size of the base material 2 should be appropriately designed according to the measurement site to which the electromyography measurement unit 1a is attached. Also, Figure 3 shows an example where the shape of the base material 2 when in use is cylindrical. Alternatively, the shape of the base material 2 may be changed according to the shape of the measurement site to which the electromyography measurement unit 1a is attached, for example, by changing the diameter of one end of the cylinder and the diameter of the other end.

[0018] In the example shown in Figure 3, the fasteners (wire fasteners) 4a and 4b are used to wrap around the upper arm and secure the electromyography measurement unit 1a in a cylindrical shape. Alternatively, hook-and-loop fasteners or buttons may be used for securing it.

[0019] The base material 2 described above is made of a stretchable material. Alternatively, the base material 2 may be made of a non-stretchable material. Since the base material 2 is used for the purpose of keeping the electrode 3 in close contact with the skin, it may be made of a non-stretchable material as long as this purpose can be achieved. For example, the base material 2 may be made of a non-stretchable belt or the like, and the electrode 3 placed on the belt or the like may be attached to the measurement site so that it is in close contact with the skin.

[0020] Electrodes 3 are provided on the inner surface of the base material 2 so that their surfaces are exposed. In other words, electrodes 3 are positioned on the base material 2 so that they can contact the measurement site. In the example shown in Figure 2, electrodes 3 are arranged in rows of 5 per row, for a total of 25 electrodes across 5 rows. As will be described later, the electromyography measurement unit 1a outputs the potential difference between adjacent electrodes in each row as an electromyographic signal, so 4 channels per row and a total of 20 channels of output are obtained. Electrodes 3 may be made of metal, conductive fibers woven into the base material 2, or conductive ink applied (printed) onto the base material 2. In the example shown in Figure 2, there are 5 electrodes per row and 5 rows are arranged, but the number of electrodes can be appropriately set according to the measurement site. The fewer the number of electrodes, the lower the measurement accuracy. On the other hand, the more electrodes there are, the higher the measurement accuracy, but the more complex the calculations become. Therefore, the number of electrodes 3 to be placed on the base material 2 should be appropriately set considering the size of the measurement site, the number of muscle tissues that make up the site, etc.

[0021] In the example shown in Figure 2, the circuit board 6 is provided on the side of the substrate 2 opposite to the electrodes 3. The electrodes 3 and the circuit board 6 are electrically connected by communication lines through an opening 5 provided in the substrate 2, but the arrangement of the circuit board 6 is not limited to the example shown in Figure 2. As long as the circuit board 6 is connected to the electrodes 3, there are no particular restrictions, and for example, if the substrate 2 has a laminated structure, the circuit board 6 may be placed between the substrates 2.

[0022] In the example shown in Figure 2, one circuit board 6 is provided corresponding to one row of electrodes 3. The circuit board 6 detects and outputs electromyographic signals based on the potential difference between electrodes, but may also amplify and digitally convert the signals as needed, serialize the amplified digital electromyographic signals, and output them externally. The circuit board 6 may also be waterproof as needed. In the example shown in Figure 2, multiple circuit boards 6 are electrically connected in seriality, and the electromyographic signals detected by each circuit board 6 are serialized and output to a communication circuit board 7. The communication circuit board 7 outputs the electromyographic signals to a measuring device 1 (e.g., a computer) by, for example, wired communication or wireless communication. The communication circuit board 7 may also be waterproof, similar to the circuit board 6. The circuit board 6 may also be expandable as needed. In that case, the communication circuit board 7 may also be expandable, similar to the circuit board 6.

[0023] Figure 4 shows an example of the circuit configuration of the circuit board 6. In the example shown in Figure 4, the circuit board 6 includes an organic transistor element 61 that amplifies an electromyographic signal based on the potential difference between adjacent electrodes among a plurality of electrodes arranged in a row, an A / D conversion circuit 62 that converts the amplified electromyographic signal into a digital signal, and an output circuit 63 that outputs each of the digitized electromyographic signals to the outside. The circuit board 6 may also include an amplification circuit between the organic transistor element 61 and the A / D conversion circuit 62 to further amplify the electromyographic signal amplified by the organic transistor element 61. In addition, in the example shown in Figure 4, the circuit board 6 also includes an organic thin-film solar cell (organic thin-film photovoltaic device) 64 that supplies power to the organic transistor element 61, the A / D conversion circuit 62, and the output circuit 63. The circuit board 6 may also include a microcomputer, which may perform at least a portion of the signal processing described herein by executing a program. In the example shown in Figure 4, an organic thin-film solar cell (organic thin-film photovoltaic device) 64 is provided as the power source, but other batteries that can supply power may be used, or power may be supplied via a wire from the measuring device 1.

[0024] Each circuit on the circuit board 6 is preferably configured as a flexible sheet device with waterproof (liquid-repellent) properties. An example of the circuit configuration will be explained with reference to Figure 5. In the example shown in Figure 5, the circuit is formed by sequentially laminating a waterproof layer 35, a substrate 10, an electronic device layer 20, a waterproof layer 30, and a gas barrier layer 40.

[0025] The material of the substrate 10 constituting the circuit board 6 is not particularly limited as long as it is a material used in the art. However, if the circuit board 6 is stretchable, the substrate 10 is preferably formed from a stretchable elastomer, such as polyimide. Polyimide layers are suitable for use in thin-film electronic devices because they have relatively good heat resistance and flexibility. Furthermore, polyimide layers are suitable for use as gas barrier layers because they also have relatively good gas barrier properties. For example, transparent polyimides such as VICT-Bnp and VICT-C manufactured by Mitsui Chemicals, Inc. have relatively good light transmittance (light transmittance), and are suitable for use in solar cells and other devices that require high light transmittance.

[0026] The electronic device layer 20 has different configurations depending on the transistor (organic transistor element) 61, A / D conversion circuit 62, output circuit 63, and solar cell (organic thin-film solar cell) 64. Figure 5 shows the configuration in the case of a solar cell. In this case, the electronic device layer used was a layer having an active layer (photoelectric conversion layer that performs photoelectric conversion) 23 and an upper electrode (first electrode) 25 and a lower electrode (second electrode) 21 that sandwich the active layer 23 in the vertical direction. Specifically, the inventors used an electronic device layer 20 in which the lower electrode 21, electron transport layer 22, active layer 23, hole transport layer 24, and upper electrode 25 were stacked in that order. The inventors used a 30 nm thick layer made of zinc oxide (ZnO) as the electron transport layer 22, a 10 nm thick layer made of PEDOT:PSS as the hole transport layer 24, a 90 nm thick layer made of indium tin oxide (ITO) (transparent electrode) as the lower electrode 21, and a 100 nm thick layer made of silver (Ag) as the upper electrode 25. Furthermore, the inventors used a 130 nm thick layer made of polymer-based organic materials such as PNTz4T, PTzNTz, and PTB7-Th as the active layer 23.

[0027] Furthermore, the electronic device layer 20 may be a semiconductor device layer other than a solar cell, for example, an organic electrochemical transistor, an organic field-effect transistor, an integrated circuit, sensors and their detection circuits, a power generation device, a lighting device, a display device, or an energy storage device. The semiconductor layer may be formed using semiconductor materials such as organic materials, oxide materials, or amorphous silicon. Organic semiconductor materials are preferred due to their flexibility and coatability, but compound semiconductor materials such as CIGS and CIS, or perovskite compound materials may also be used.

[0028] A waterproof layer 30 with relatively good liquid-repellent (water-repellent) properties is applied to the surface of the electronic device layer 20. Similarly, a waterproof layer 35 is applied to the underside of the substrate 10. The waterproof layer 35 may be provided between the substrate 10 and the electronic device layer 20.

[0029] The waterproof layers 30 and 35 preferably use fluororesin layers made of fluororesins such as fully fluorinated resins, partially fluorinated resins, or fluororesin copolymers, which have relatively good heat resistance and flexibility. Furthermore, since fluororesin layers also have relatively good liquid repellency, they can be suitably used as waterproof layers. Amorphous fluororesins have relatively good light transmittance, so they can be suitably used in solar cells and other applications where high light transmittance is required. In one embodiment, a 360 nm thick layer made of Teflon® AF1600 (amorphous fluororesin) manufactured by Mitsui DuPont Fluorochemicals Ltd. is used as the waterproof layer 30.

[0030] It is preferable to perform heat treatment or drying treatment at the time the waterproof layers 30 and 35 are applied. For example, heat at 100°C for 30 minutes using a hot plate. This dries the waterproof layer 30 and fixes it to the electronic device layer 20. However, since the waterproof layer 30 will be fixed by natural temperature even without heating, the heat treatment may be omitted.

[0031] Finally, a gas barrier layer 40 with relatively good gas barrier properties is formed on the surface of the waterproof layer 30. Paraxylene polymer layers made of paraxylene polymers (aromatic hydrocarbon resins) such as parylene manufactured by KISCO Corporation are suitable for use as gas barrier layers in thin-film electronic devices because they have relatively good heat resistance, gas barrier properties, flexibility, etc. Furthermore, paraxylene polymer layers also have relatively good ability to follow uneven surfaces, making them easy to form uniformly on uneven surfaces. In one embodiment, a 1 μm thick layer made of parylene manufactured by KISCO Corporation is used as the gas barrier layer 40. Parylene manufactured by KISCO Corporation includes dix-C, dix-D, dix-N, dix-HR, dix-SR, dix-NR, dix-SF, dix-CF, etc. For example, the gas barrier layer 40 made of dix-SR may be formed by chemical vapor deposition (CVD).

[0032] As described above, by providing a waterproof layer 30 on top of the electronic device layer 20, and further having a gas barrier layer 40 on top of that, it is possible to improve not only the durability against oxygen and water vapor without impairing the function of the electronic device, but also its durability against water. This makes it possible to wash (wash) the electronic device with water. Note that the same effect can be obtained by reversing the arrangement of the waterproof layer 30 and the gas barrier layer 40, providing the gas barrier layer 40 on top of the electronic device layer 20, and then providing the waterproof layer 30 on top of that.

[0033] As described above, the circuit board 6 may be stretchable. To give the circuit board 6 stretchability, for example, a stretchable conductive paste (conductive paste) made by mixing micrometer-sized silver flake powder, fluororubber, and a fluorosurfactant can be used. Furthermore, in order to give the circuit board 6 stretchability, it is preferable to adopt a structure in which no strain is applied to the surface of the electronic device layer even when the circuit board 6 is stretched or bent. Specifically, by appropriately designing the thickness and Young's modulus of each layer, the intermediate strain position of the structure is made to coincide with the electronic device layer. The intermediate strain position is the position in which no stress is applied to the surface during deformation. With this configuration, the circuit board 6 can operate without impairing its function even when stretched or contracted by 15% or more in any direction.

[0034] The configuration of the circuit board 6 will be described with reference to Figure 6. The circuit board 6 comprises an elastic first substrate layer 11, a first electrode layer 31 provided on the first substrate layer 11, a semiconductor layer 41 provided on the first electrode layer 31, a second electrode layer 50 provided on the semiconductor layer 41, and an elastic second substrate layer 70 provided on the second electrode layer. A non-elastic substrate layer 12 may be provided between the first substrate layer 11 and the first electrode layer 31, and a sealing layer 60 may be provided between the second electrode layer 50 and the second substrate layer 70, but the substrate layer 12 and the sealing layer 60 may be omitted. In the thickness direction of the circuit board 6, the distance b from one surface 101 is The surface represented by is located between the center of the first electrode layer 31 and the center of the second electrode layer 50 in the thickness direction. Here, n represents the number of layers comprising the circuit board 6, Ei represents the elastic modulus of the i-th layer from the side of one of the surfaces of the circuit board 6, and ti and tj represent the thickness of the i-th layer and the thickness of the j-th layer, respectively.

[0035] Figure 6 shows a circuit board 6 with a 7-layer structure (n=7), but as mentioned above, the base layer 12 and the sealing layer 60 may be omitted to make it a 5-layer structure. Furthermore, the circuit board 6 is not limited to a 5-layer or 7-layer structure, and can have any number of layers.

[0036] Furthermore, it is more preferable that the elastic moduli of the outermost layers, E1 and En, each be 1 GPa or less. Also, the non-elastic base layer 12, which is the layer following the outermost layer, and the sealing layer 60 may be multilayer structures made of different materials.

[0037] The circuit board 6 produced in this manner can be fixed to the surface of the base material 2 by adhesive or sewing. If a heat-resistant material is used for the semiconductor layer 41, the circuit board 6 can be heat-bonded to the base material 2 using an iron or the like.

[0038] The electromyography measurement unit 1a has multiple electrodes, so it can be attached without worrying about the electrodes shifting away from the muscle being measured.

[0039] Furthermore, integrating organic transistor elements with electrodes and incorporating them into the orthosis improves noise resistance. Since electromyography (EMG) is typically measured while moving, amplifying the EMG signal immediately after detection is effective in protecting weak EMG signals from motion noise.

[0040] Furthermore, it is even more preferable that the electrode 3 is mechanically connected to the circuit board 6. When the electrode is electrically and mechanically connected to the circuit board 6, the degree of contact of the electromyography device with the human body is improved, which can be expected to further reduce motion noise and make it easier to detect weak electromyographic signals, thus enabling comprehensive measurement of surface and deep electromyography from superficial, intermediate, and deep muscles.

[0041] Further, since the circuit board 6 has a waterproof layer, it also has resistance to moisture and can be washed. Since the myoelectricity measurement unit 1a needs to directly touch the skin, it is effective that it can be washed in consideration of hygiene.

[0042] (Modified Example) In the myoelectricity measurement unit 1a described above, the myoelectricity signal only acquires signals based on the potential difference between adjacent electrodes among a plurality of electrodes arranged in a row. However, myoelectricity signals based on potential differences for more electrode combinations may be acquired. For example, myoelectricity signals may be acquired based on the potential differences of all combinations of a plurality of electrodes included in one row. In the above example, since there are 5 electrodes in one row, an output of 10 channels per row can be obtained, and a total output of 50 channels can be obtained with 5 rows. Alternatively, myoelectricity signals based on all combinations of a plurality of electrodes may be acquired. In the above example, since there are a total of 25 electrodes, an output of 300 channels can be obtained. In order to acquire the potential difference between electrodes belonging to different rows, the wiring may be arranged in a matrix shape.

[0043] In the myoelectricity measurement unit 1a described above, the acquired myoelectricity signal may be output by wired communication or wireless communication. Further, a storage device (memory) may be provided in the myoelectricity measurement unit 1a to store the measured myoelectricity signal and output it externally at an arbitrary timing later.

[0044] Also, although the circuit boards 6 are provided individually corresponding to the rows of electrodes, these plurality of circuits may be formed as one board.

[0045] In the myoelectricity measurement unit 1a described above, the form is such that the appliance is fixed in a cylindrical shape by a fastener or the like, but it may be in the shape of a supporter or a shirt etc.

[0046] When measuring the middle layer muscles or deep layer muscles at the measurement site, unlike the superficial layer muscles, it is difficult to visually confirm the direction in which the muscle fibers run and attach the myoelectricity device. Therefore, the myoelectricity measurement unit 1a described above can obtain not only the activity signals of the superficial layer muscles but also the activity signals of the middle layer muscles and deep layer muscles by extracting independent components from the signals acquired between the electrodes by a method such as independent component analysis.

[0047] In the above-described electromyogram measurement unit 1a, when it is worn in a direction in which a surface electromyogram signal can be obtained by outputting an electromyogram signal based on the potential difference between adjacent electrodes, a deep electromyogram signal may be obtained by outputting an electromyogram signal based on the potential difference between combinations of different electrodes. The electromyogram signal based on the potential difference between electrodes may be amplified and output at various amplification factors according to the purpose of measurement. The deep electromyogram signal is weaker compared to the surface electromyogram signal. Therefore, in the above embodiment, when an electromyogram signal based on the potential difference between adjacent electrodes is amplified and output at a certain amplification factor, the electromyogram signal based on the potential difference between combinations of different electrodes may be amplified and output at an amplification factor higher than the amplification factor of the electromyogram signal based on the potential difference between the adjacent electrodes.

[0048] The storage unit 1b only needs to be able to store the first electromyogram signal of the measurement site in the healthy state measured by the electromyogram measurement unit 1a and / or the second electromyogram signal obtained from the measurement site where functional movement disorder has developed and measured by the electromyogram measurement unit 1b. First, one of the first electromyogram signal or the second electromyogram signal is measured and stored in the storage unit 1b. Then, the measurement result of the other of the first electromyogram signal or the second electromyogram signal may be sent to the arithmetic unit 1c described later and compared with the electromyogram signal stored in the storage unit 1b. Of course, the first electromyogram signal and the second electromyogram signal may be stored in the storage unit 1b.

[0049] In this specification, "healthy state" means a state in which functional movement disorder has not occurred. As an example of the first electromyogram signal of the measurement site in the "healthy state", a signal obtained from a person (healthy person) different from the subject who has developed functional movement disorder is exemplified.

[0050] It should be noted that even in the same subject, functional movement disorders may manifest with certain movements but not with others. For example, in baseball players, a condition called yips is known, where throwing becomes difficult even though daily life is completely normal. Similarly, in musicians, a condition called musician's dystonia is known, where the muscles in the hands and mouth become uncontrollable during performance, making it impossible to play. Furthermore, in the inventors' examinations, there have been cases where dystonia developed when drawing diagrams, even though general writing was not problematic, and cases where dystonia developed when solving mathematical equations, even though general writing was not problematic. Therefore, a state in which no functional movement disorder is present in the same subject may be considered a "healthy state." When measuring the first and second electromyographic signals from the same subject, since the structure of the muscle tissue is exactly the same, it is expected that the muscles causing the functional movement disorder can be selected with higher accuracy than when using the first electromyographic signal from different individuals. Furthermore, for symmetrical measurement sites such as the upper limbs, the measurement site on the side of the same subject that does not exhibit functional movement impairment may be considered the "healthy state." Although symmetrical, these sites constitute the same subject's body and have the same function, so they can be adequately used as the healthy state.

[0051] The calculation unit 1c compares the first electromyographic signal with the second electromyographic signal to select the muscle causing the functional movement disorder from among multiple muscles constituting the measurement site. The calculation algorithm is not particularly limited as long as it can select the causative muscle from among multiple muscles based on the difference between the first and second electromyographic signals. Known machine learning or AI can be used for the calculation. Although not limited, since abnormal muscle movement and abnormal muscle activity share common frequency characteristics, one example is to select the causative muscle using frequency as an indicator. Other indicators may include the amount of muscle movement during a specific exercise, involuntary abnormal muscle activity, inactivation, and abnormal coordination with multiple muscles.

[0052] The measuring device 1 may be configured to include at least an electromyography measurement unit 1a, a storage unit 1b, and a calculation unit 1c. Alternatively, the measuring device 1 may be manufactured by combining a known computer with the electromyography measurement unit 1a.

[0053] (Regarding optional additional configurations of the measuring device 1 according to the embodiment) The measuring device 1 may optionally include an imaging unit 1d. The imaging unit 1d is not particularly limited as long as it can image the measurement site, and known examples include CCD, CMOS, 3D cameras, etc. If an imaging unit 1d is included, the first imaging data obtained by imaging the measurement site in a healthy state and the first electromyographic signal may be output as first related data and stored in the storage unit 1b. Alternatively, the second imaging data obtained by imaging the measurement site exhibiting functional motor impairment and the second electromyographic signal may be output as second related data and stored in the storage unit 1b. Note that either the first related data or the second related data may be stored in the storage unit 1b, or both may be stored in the storage unit 1b.

[0054] If an imaging unit 1d is included, the image data of the captured measurement site and the electromyographic signal can be associated with each other. For example, during calculations in the calculation unit 1c, the abnormal movement of the captured muscle and the electromyographic signal obtained at that time can be calculated together. Therefore, if an imaging unit 1d is included, the relationship between muscle activity and movement can be clearly defined.

[0055] The program memory 1f stores, for example, a program that causes the computer to perform each step of the information provision method and / or selection method described later. When this program is read and executed by the control unit 1e, the operation of the electromyography measurement unit 1a, the storage unit 1b, the calculation unit 1c, and the optional additional imaging unit 1d is controlled. The program may be stored in the computer in advance, or a program recorded on a recording medium may be stored in the program memory 1f using an installation means. In addition, the program that causes the computer to perform each step of the information provision method and / or selection method described later, and the recording medium storing the program, may be provided separately from the measuring device 1, and the measuring device 1 may be constructed by the user installing them on a computer.

[0056] (Regarding modifications to which the measuring device 1 according to the embodiment can be used) In the above (modifications), an example of a modification in which the electromyography measuring unit 1a can be used has already been described, but other modifications to which the measuring device 1 according to the embodiment can be used will be described. (Regarding electrodes 3) In the electromyography measuring unit 1a of the measuring device 1 according to the embodiment described above, the electrodes 3 are arranged on the base material 2 so as to be able to contact the measurement site. Alternatively, the electrodes 3 may be configured to be detachable from the base material 2. If they are configured to be detachable, any electrode 3 can be removed from among the multiple electrodes 3 and the base material 2 can be attached to the measurement site. In other words, the overall positional relationship of the multiple electrodes 3 can be changed.

[0057] Furthermore, if the electrode 3 is configured to be detachable from the base material 2, a disposable electrode may be used for electrode 3. Disposable electrodes are commercially available from many companies in the medical device field, and such commercially available disposable electrodes may be used as electrode 3. Disposable electrodes come in two types: those that can be used individually and those in which multiple electrodes are arranged on a film, for example. In the case of electrodes that can be used individually, the disposable electrode should be placed at the position where the electrode on the base material 2 is to be placed. On the other hand, when a disposable electrode with multiple electrodes arranged on a film is used, the positions of the electrodes arranged on the film may differ. In that case, the electromyography measurement unit 1a should be equipped with a communication line for connecting the circuit board 6 and the disposable electrode. By making the length of the communication line relatively long, or by using an extendable communication line so that the communication line can be extended from the base material 2, a single measuring device 1 can be used with disposable electrodes with various electrode arrangements. There are no particular restrictions on one end of the communication line as long as it is structured to be electrically connected to the disposable electrode. Examples of connector types, though not limited to them, include clip-type connectors, snap-type connectors, pin / socket type connectors, and magnetic type connectors. The other end of the communication line only needs to be connected to the circuit board 6.

[0058] When disposable electrodes are used as electrodes 3, since disposable electrodes 3 are available separately from the measuring device 1, electrodes 3 do not need to be included as components of the measuring device 1. In other words, the electromyography measurement unit 1a of the measuring device 1 according to the above embodiment includes: a base material 2 that can be attached to the measurement site, a plurality of electrodes 3 arranged on the base material 2 so as to be able to contact the measurement site, and a circuit board 6 for outputting an electromyography signal based on the potential difference between the plurality of electrodes. However, the measuring device 1 according to the modified example does not need to include "a plurality of electrodes 3 arranged on the base material 2 so as to be able to contact the measurement site".

[0059] On the other hand, the electromyography measurement unit 1a of the modified measurement device 1 may include, in addition to: a base material 2 that can be attached to the measurement site, and a circuit board 6 for outputting electromyography signals based on the potential difference between multiple electrodes, a communication line having one end that can be electrically connected to a disposable electrode and the other end that connects to the circuit board 6.

[0060] Furthermore, as a further modification, one end of the communication line is structured to be electrically connectable to a disposable electrode; in other words, it has an electrical conductivity function, so one end of the communication line may be used as an electrode. By fixing one end of the communication line to the measurement site using tape or the like, one end of the communication line can also be made to function as an electrode.

[0061] (Regarding the base material 2) In the examples shown in Figures 2 and 3, the base material 2 is formed as a single, roughly rectangular component, and after being attached to the measurement site, it is fixed to the measurement site by fasteners 4a and 4b provided on the edges of the base material 2. Alternatively, the base material 2 may be divided into two or more parts. If the base material 2 is divided into two or more parts, fasteners 4a and 4b or magnets can be provided on each base material 2 so that the individual base materials 2 can be connected and fixed while attached to the measurement site.

[0062] Furthermore, any one or more of the items described in the above-described measuring device 1 and various possible modifications may be combined.

[0063] (Embodiment of Information Provision Method) An embodiment of the information provision method and selection method will be described with reference to Figure 7A. Figure 7A is a flowchart of the information provision method.

[0064] The information provision method according to the embodiment is carried out using any embodiment of the electromyography measurement unit 1b described above. A detailed description of the electromyography measurement unit 1b is omitted as it would be redundant. The information provision method includes a first electromyography signal provision step (ST1) and a second electromyography signal provision step (ST2). The first electromyography signal provision step (ST1) measures the electromyography signal of a measurement site in a healthy state and provides the measured electromyography signal as the first electromyography signal. The second electromyography signal provision step (ST2) measures the electromyography signal of a measurement site that has developed a functional motor disorder and provides the measured electromyography signal as the second electromyography signal. The definition of a healthy state is the same as in the description of the measurement device 1 according to the embodiment described above, so a detailed description is omitted. Also, similar to the measurement device 1 according to the embodiment, (1) the first electromyography signal and the second electromyography signal may be electromyography signals obtained from different people, or (2) the first electromyography signal and the second electromyography signal may be electromyography signals obtained from the same person. Furthermore, from the perspective of obtaining more information, when performing the first electromyography signal provision step (ST1) and the second electromyography signal provision step (ST2), it is optional to intentionally move a part of the measurement site. For example, if the measurement site is the upper limb, more information can be obtained from the measurement site by measuring the electromyography signal when intentionally performing movements such as flexing the wrist or fingers.

[0065] Furthermore, in the first electromyography signal provision step (ST1), when measuring the first electromyography signal, the imaging unit 1d may be used to image the measurement site in a healthy state to acquire first imaging data, which may be provided as first related data linking the first electromyography signal and the first imaging data. Similarly, in the second electromyography signal provision step (ST2), when measuring the second electromyography signal, the imaging unit 1d may be used to image the measurement site where functional movement impairment has occurred to acquire second imaging data, which may be provided as second related data linking the second electromyography signal and the second imaging data.

[0066] In the examples shown in Figure 7A (Information Provision Method) and Figure 7B (Selection Method, described later), the first electromyography signal provision process (ST1) is performed first, followed by the second electromyography signal provision process (ST2). Alternatively, the second electromyography signal provision process (ST2) may be performed first, followed by the first electromyography signal provision process (ST1). Once the first and second electromyography signals are provided, there are no particular restrictions on the order in which (ST1) and (ST2) are performed.

[0067] (Embodiment of Selection Method) An embodiment of the selection method will be described with reference to Figure 7B. Figure 7B is a flowchart of the selection method. The selection method according to the embodiment includes a selection step (ST3), in which the selection step (ST3) selects the muscle causing the functional movement disorder from among a plurality of muscles constituting the measurement site by (1) comparing the first electromyographic signal with the second electromyographic signal, or (2) comparing the first related data with the second related data, provided by the information provision method described above. The specific selection method of the selection step is carried out by the calculation unit 1c of the measuring device according to the embodiment. Therefore, a detailed description will be omitted to avoid repetition.

[0068] (Embodiment of the Treatment Method) An embodiment of the treatment method will be described with reference to Figure 7C. Figure 7C is a flowchart of the treatment method. The treatment method according to the embodiment includes a first electromyographic signal provision step (ST1), a second electromyographic signal provision step (ST2), a selection step (ST3), and a treatment step (ST4). The first electromyographic signal provision step (ST1), the second electromyographic signal provision step (ST2), and the selection step (ST3) have already been described in the embodiment of the selection method, so a detailed explanation will be omitted.

[0069] The treatment step (ST4) is not particularly limited as long as treatment can be performed on the muscle causing the functional movement disorder selected in the selection step (ST3). While not limited, examples include injections of therapeutic drugs such as botulinum toxin (BoNT), oral medication, nerve modulation, and surgery.

[0070] The measuring device 1, selection method, and treatment method disclosed in this application have the following effects. The information provision method has the effect of providing information to achieve these effects. (1) It is possible to select the muscle causing the functional movement disorder from among multiple muscles that make up the area where the functional movement disorder is occurring. Therefore, therapeutic drugs such as botulinum toxin (BoNT) can be injected into the appropriate muscle, thereby increasing the therapeutic effect on patients suffering from functional movement disorders. (2) If an imaging unit 1d is provided, the relationship between muscle activity and movement can be clearly identified.

[0071] Examples are provided below to specifically illustrate the embodiments disclosed in this application. These examples are solely for illustrative purposes and do not represent a limitation or restriction on the scope disclosed in this application.

[0072] [Fabrication of Measurement Device 1] <Example 1> (1) Fabrication of the electromyography measurement unit 1a Figure 8A shows a photograph of the fabricated electromyography measurement unit 1a. Spandex was used for the base material 2, and electrodes 3 made of brass with gold plating were arranged so that they were spaced 20.0 mm vertically and 37.5 mm horizontally in the orientation of the paper shown in Figure 8A. The circuit board 6 was designed to obtain 20 channels of surface electromyography signals. Figure 8B shows a photograph of the fabricated electromyography measurement unit 1a attached to the forearm. (2) Imaging unit 1d An imaging unit 1d was a webcam. (3) Fabrication of Measurement Device 1 Measurement device 1 was fabricated by connecting the fabricated electromyography measurement unit 1a and imaging unit 1d to a computer. In addition, a program for implementing the selection method shown in Figure 7B was created and stored in the program memory 1f. Furthermore, the program for the calculation unit 1c, which performs the selection process (ST3), uses the AI ​​system described in "S. Okajima, Al. Costa-Garcia, S. Ueda, N. Yang, and S. Shimoda, “Forearm muscle activity estimation based on anatomical structure of muscles,” Anat Rec, vol. 306, no. 4, pp. 741‐763, Apr. 2023, doi: 10.1002 / AR.24910." and is programmed to estimate the activity of all 17 muscles in the forearm from 20 channels of data. In addition, the data acquired by the imaging unit 1d was analyzed using ImageJ software.

[0073] [Implementation of Information Provision and Selection Methods] <Example 2> In Example 2, the information provision and selection methods were implemented in a patient with tremors. Since this patient's tremors were persistent, a second electromyographic signal was acquired from the forearm on the side with the tremors (affected side), and a first electromyographic signal was acquired from the forearm on the side without the tremors (unaffected side, healthy state). In addition, flexion exercises were performed to obtain more information. More specifically, the activity of the forearm muscles on both the affected and unaffected sides was first recorded as a 3-second static state (without flexion exercise), and then measured during wrist dorsiflexion. Wrist dorsiflexion was performed by slowly extending the wrist five times while keeping the hand on a table. The measured first and second electromyographic signals and the captured data were used to estimate the muscle activity of all 17 muscles in the forearm using a stored program.

[0074] The selection process involved selecting muscles based on the following indicators: (1) Evaluating the frequency of tremors and muscle activity. (2) Abnormal muscle activity appears involuntarily. Therefore, to emphasize the difference between the affected and unaffected sides in a resting state, the appearance of involuntary abnormal muscle activity in a resting state was observed and evaluated. (3) Evaluation was performed by demonstrating muscle activity during intentional wrist dorsiflexion.

[0075] Figures 9A to 9C show the data before treatment. Figure 9A compares the frequency component of the activity of the extensor pollicis brevis (EPB) (EPB(Pre)) with the motion capture data (Tremo(Pre)) obtained by analyzing image data acquired by the imaging unit 1d. From Figure 9A, it can be seen that the activity of the EPB and the tremor showed vibrations that matched at approximately 6 Hz. Figure 9B shows the difference in muscle activity between the affected arm (Pre-treatment) and the unaffected arm (Unaffected side) in a resting state. The right side of the graph is a 3D visualization of the muscle activity of the forearm. As is clear from Figure 9B, the EPB in the affected arm showed excessive activity, while no activity was observed in the unaffected arm. Figure 9C shows that the activity of the EPB remained high during wrist dorsiflexion.

[0076] The upper part of Figure 10A shows a heat map of 17 types of muscle activity (at rest) in the forearm, analyzed by the AI ​​system of the measurement device 1 fabricated in Example 1. The lower part of Figure 10A shows a bar graph of the heat map. The horizontal axis of Figure 10A represents the start of the resting state (3 seconds) as Time step 0% and the end of the resting state as Time step 100%. The upper part of Figure 10B shows a heat map of 17 types of muscle activity (during dorsiflexion) in the forearm, similarly analyzed. The lower part of Figure 10B shows a bar graph of the heat map. The horizontal axis of Figure 10B represents the start of dorsiflexion (start of wrist movement) as Time step 0% and the end of dorsiflexion as Time step 100%. The Time step in Figure 10B is the heat map for one dorsiflexion movement. The abbreviations shown on the vertical axis of Figure 10A refer to the lines shown in Table 1 below.

[0077] Based on these results, the extensor pollicis brevis (EPB) was selected (identified) as the muscle causing the problem (the muscle to be treated) among the 17 muscles of the forearm. In Example 2, the patient continued to experience tremors as described above. Therefore, in the static heatmap shown in Figure 10A, the extensor pollicis brevis (EPB) showed abnormalities continuously from the start to the end of the static measurement. On the other hand, in the dorsiflexion heatmap shown in Figure 10B, a significant abnormality (circled in the upper part of Figure 10B) was observed at an early stage when the wrist began to move, due to the dorsiflexion movement being performed while the tremors were still present, and the heatmap showing the abnormality was clearly different from that in Figure 10A. From the results in Figures 10A and 10B, it was confirmed that when obtaining a second electromyographic signal from a measurement site exhibiting functional movement impairment, it is sufficient to obtain the signal only in a static state without intentional movement, or in a state with intentional movement.

[0078] Five milliliters of 1% lidocaine were injected into the selected extensor pollicis brevis muscle under ultrasound guidance. Figures 9D to 9F show the changes in muscle activity and movement after lidocaine injection. As is clear from Figures 9D to 9F, the abnormal activity of the extensor pollicis brevis (EPB) was suppressed compared to Figures 9A to 9C before treatment.

[0079] Figure 11 shows the maximum wrist dorsiflexion angle before and after treatment. The treatment increased the maximum dorsiflexion angle by approximately 7 degrees.

[0080] Based on these results, in Example 2, the symptoms dramatically improved by injecting lidocaine into the selected extensor pollicis brevis (EPB) muscle, indicating that an appropriate muscle was selected from among the multiple muscles (17 types) that make up the measurement site.

[0081] <Example 3> An experiment was conducted to confirm the therapeutic effect on seven patients with focal hand dystonia (FHD). The seven patients were diagnosed with FHD by a physician based on the established diagnostic criteria for functional dystonia described in (1) to (4) below: (1) Task-specific dystonic posture during precision motor tasks (2) Absence of structural abnormalities on MRI (3) Confirmation of sensory tricks (reduction of dystonic symptoms by specific postures or tactile manipulations) (4) Evidence of abnormal muscle activity patterns by electromyography (EMG).

[0082] In Example 2, the first electromyographic signal was acquired from the non-affected side of the patient. In Example 3, the first electromyographic signal was acquired from 20 healthy individuals (13 males and 7 females), but the information provision method and selection method were carried out in the same manner as in Example 2. Furthermore, lidocaine hydrochloride was injected into the muscles selected using the selection method, in the same manner as in Example 2.

[0083] Figures 12A to 12D show heatmaps and bar graphs of 17 types of forearm muscle activity (at rest). The "Healthy" heatmap and bar graph on the left side of Figure 12A shows the results of analyzing the remaining 20 data points using a machine learning model that used 80 of the approximately 100 data points obtained from 20 healthy individuals. It represents the average of the first electromyographic signals obtained from the 20 healthy individuals. The dotted line in the Health bar graph represents the line set at a level where healthy individuals would not show abnormalities in any of the 17 types of muscles (not exceeding the Baseline). P1 to P7 in Figures 12A to 12D show the results for 7 patients, with "before block" showing the results before lidocaine hydrochloride injection and "after block" showing the results after lidocaine hydrochloride injection.

[0084] As is clear from the before blocks of P-1 to P-7, in each of the seven patients, one or more muscles showing abnormality (target muscles for treatment) were selected from among the 17 muscles of the forearm. Then, lidocaine hydrochloride was injected into the EPL (extensor pollicis longus) in P-1, the FCR (flexor carpi radialis) in P-2, the EPB (extensor pollicis brevis tendon) in P-3, the PL (palmaris longus) in P-4, the FCU (flexor carpi ulnaris) in P-5, the BR (brachioradialis) in P-6, and the FCU (flexor carpi ulnaris) in P-7. In all patients, it was confirmed that the abnormal muscle activity was suppressed, as shown in the after blocks. It should be noted that in patient P-2, many muscles still showed abnormal muscle activity in the after blocks, but the symptoms in patient P-2 were very severe. Even in patients with P-2 disease, the treatment can be considered effective based on a comparison between before and after blocking.

[0085] Figures 13A and 13B show the mean before-block and after-block data for seven patients. Figure 13A shows the change in the abnormal activity level of the causative muscles (the total of muscles exceeding Baseline in the before-block data in Figures 12A to 12D). As is clear from Figure 13A, the muscle activity of the muscles identified as the causative muscles of abnormal muscle activity in the seven patients was suppressed by injection of lidocaine hydrochloride. Figure 13B shows the change in the mean value of the Visual Analog Scale (VAS) pain measured in the seven patients. O on the vertical axis represents no pain, and 10 on the vertical axis represents the strongest pain experienced to date. As is clear from Figure 13B, it was confirmed that pain was relieved by injecting lidocaine hydrochloride into the identified causative muscles in the seven patients.

[0086] From the above results, it was confirmed that the measuring device 1 and selection method disclosed in this application can be used to select muscles that cause functional movement disorders. Furthermore, it was confirmed that the information provided by the information provision method disclosed in this application is useful for selecting muscles that cause functional movement disorders. In addition, it was confirmed that therapeutic effects can be obtained by performing treatment on the muscles selected by the selection method.

[0087] The measuring device 1, information provision method, and selection method disclosed in this application allow for the selection of muscles causing functional motor disorders. Therefore, it is useful for device development in the medical device industry and for treatment in medical institutions, universities, etc.

[0088] 1... Measuring device, 1a... Electromyography measurement unit, 1b... Memory unit, 1c... Calculation unit, 1d... Imaging unit, 1e... Control unit, 1f... Program memory, 2... Substrate, 3... Electrode, 4... Fastener, 5... Opening, 6... Circuit board, 61... Organic transistor element, 62... Analog-to-digital conversion circuit, 63... Organic thin-film solar cell, 7... Communication circuit board

Claims

1. A measuring device for selecting a muscle that causes functional movement disorder, the measuring device comprising: an electromyography (EMG) measuring unit; a storage unit; and a calculation unit, wherein the EMG measuring unit comprises: a base material that can be attached to a measurement site; a plurality of electrodes arranged on the base material so as to be in contact with the measurement site; and a circuit board for outputting an EMG signal based on the potential difference between the plurality of electrodes, the storage unit can store a first EMG signal of the measurement site in a healthy state measured by the EMG measuring unit, and / or a second EMG signal obtained from the measurement site exhibiting functional movement disorder, measured by the EMG measuring unit, and the calculation unit selects a muscle that causes functional movement disorder from among a plurality of muscles constituting the measurement site by comparing the first EMG signal and the second EMG signal.

2. The measuring device according to claim 1, wherein the first electromyographic signal and the second electromyographic signal are electromyographic signals obtained from different persons.

3. The measuring device according to claim 1, wherein the first electromyographic signal and the second electromyographic signal are electromyographic signal data obtained from the same person.

4. The measuring device according to any one of claims 1 to 3, further comprising an imaging unit for imaging the measurement site.

5. The measuring device according to claim 4, wherein the storage unit stores first imaging data obtained by imaging the measurement site in a healthy state and the first electromyographic signal as first related data, and / or second imaging data obtained by imaging the measurement site in which functional movement disorder is occurring and the second electromyographic signal as second related data, and the calculation unit selects the muscle causing the functional movement disorder from among a plurality of muscles constituting the measurement site by comparing the first related data and the second related data.

6. A method for providing information for selecting a muscle that causes functional movement disorder, the method for providing information is performed using an electromyography measurement unit which includes a base material that can be attached to a measurement site, a plurality of electrodes arranged on the base material so as to be in contact with the measurement site, and a circuit board for outputting an electromyographic signal based on the potential difference between the plurality of electrodes, the method for providing information includes a first electromyographic signal provision step of measuring the electromyographic signal of the measurement site in a healthy state and providing the measured electromyographic signal as a first electromyographic signal, and a second electromyographic signal provision step of measuring the electromyographic signal of the measurement site that has developed functional movement disorder and providing the measured electromyographic signal as a second electromyographic signal.

7. The information provision method according to claim 6, wherein the first electromyographic signal and the second electromyographic signal are electromyographic signals obtained from different persons.

8. The information provision method according to claim 6, wherein the first electromyographic signal and the second electromyographic signal are electromyographic signals obtained from the same person.

9. The information provision method according to any one of claims 6 to 8, wherein when measuring the first electromyogram signal, first imaging data is acquired by imaging the measurement site in a healthy state using an imaging unit, and in the first electromyogram signal provision step, the first electromyogram signal and the first imaging data are provided as first related data relating the first electromyogram signal and the first imaging data; and when measuring the second electromyogram signal, second imaging data is acquired by imaging the measurement site where the functional movement disorder is occurring using an imaging unit, and in the second electromyogram signal provision step, the second electromyogram signal and the second imaging data are provided as second related data relating the second electromyogram signal and the second imaging data.

10. A selection method for selecting a muscle that causes functional movement disorder, the selection method comprising a selection step of selecting a muscle that causes functional movement disorder from among a plurality of muscles constituting the measurement site by comparing a first electromyographic signal and a second electromyographic signal provided by the information provision method described in any one of claims 6 to 8.

11. A selection method for selecting a muscle that causes functional movement disorder, the selection method comprising a selection step of selecting a muscle that causes functional movement disorder from among a plurality of muscles constituting the measurement site by comparing the first related data and the second related data provided by the information provision method described in claim 9.

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