Exercise Repetition Counting System, Device, and Program

The exercise counting system addresses the challenge of confirming effective muscle contractions by using a myoelectric detector and smartphone-based system to differentiate between total and effective muscle movements, enhancing training outcomes.

JP7691722B2Active Publication Date: 2025-06-12PLATANUS TREE CO LTD
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Patent Information

Application Number
JP2022055499
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-03-30
Publication Date
2025-06-12
Estimated Expiration
2042-03-30

AI Technical Summary

Technical Problem

Existing muscle training methods lack effective means to confirm whether proper muscle contractions are occurring during exercises, especially in self-taught settings, leading to inadequate training results.

Method used

An exercise counting system that utilizes a myoelectric detector to capture electromyogram data from the target muscle area and a smartphone-based movement count device to differentiate between total and effective muscle movements by comparing first and second threshold values.

Benefits of technology

Enables users to accurately assess the effectiveness of their muscle exercises, ensuring proper muscle contractions and improving training outcomes, even in personal training settings.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide an exercise frequency counting system capable of confirming whether or not an effective muscular exercise can be performed, and the like.SOLUTION: An exercise frequency counting system 100 includes: a myoelectric sensor module (a myogenic potential detector) 110; and a smartphone (an exercise frequency counting device) 120. The myoelectric sensor module 110 detects myoelectric potential of a target part and transmits to the smartphone 120 myoelectric data corresponding to the detected myoelectric potential. The smartphone 120 receives myoelectric data transmitted by the myoelectric sensor module 110 and counts a total exercise frequency and effective exercise frequency by comparing the received myoelectric data with a first threshold and a second threshold having value equal to or greater than first threshold respectively.SELECTED DRAWING: Figure 1
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Description

[Technical field]

[0001] The present invention relates to a system for counting the number of muscle movements. [Background technology]

[0002] 2. Description of the Related Art Conventionally, various muscle exercises have been performed for the purpose of muscle training, rehabilitation, and the like.

[0003] However, for example, when doing self-taught muscle training at home, the muscles being trained may not contract sufficiently (become active) due to improper exercise movements, and sufficient training effects may not be obtained.

[0004] In addition, JP 2020-195573 A discloses a training evaluation device that displays a model video and the number of training sessions evaluated as effective together with the user's training video on the display of a user terminal. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2020-195573 A Summary of the Invention [Problem to be solved by the invention]

[0006] An object of the present invention is to provide an exercise counting system etc. that is capable of confirming whether or not effective muscle exercise is being performed. [Means for solving the problem]

[0007] The exercise counting system according to the present invention includes a myoelectric detector that is attached to a target part of the body and detects the myoelectric potential of the target part and transmits myoelectric data corresponding to the detected myoelectric potential;bit Based on the electromyogram data transmitted from the detector, it is provided with a movement count device that counts the number of muscle movements. The movement count device counts the total number of movements by comparing a first threshold value with the electromyogram data, and also counts the number of effective movements by comparing a second threshold value having a value equal to or greater than the first threshold value with the electromyogram data, and is characterized by including a movement count unit for this purpose.

[0008] In this case, the value of the second threshold value may be the same as the value of the first threshold value, or may be greater than the value of the first threshold value.

[0009] Also, in the above case, the movement count device may further include a threshold setting unit for setting the first threshold value and the second threshold value.

[0010] Also, in the above case, the movement count device may further include a display unit for displaying the total number of movements and the number of effective movements counted by the movement count unit.

[0011] Also, in the above case, the movement count device may be configured by a smartphone.

[0012] The movement count device according to the present invention is a movement count device that counts the number of muscle movements based on electromyogram data corresponding to the electromyogram potential of a target site. It counts the total number of movements by comparing a first threshold value with the electromyogram data, and also counts the number of effective movements by comparing a second threshold value having a value equal to or greater than the first threshold value with the electromyogram data, and is characterized by including a movement count unit for this purpose.

[0013] In this case, the value of the second threshold value may be the same as the value of the first threshold value, or may be greater than the value of the first threshold value.

[0014] In addition, in the above case, a threshold setting unit for setting the first threshold and the second threshold may be further provided.

[0015] In addition, in the above case, a display unit for displaying the total number of movements and the effective number of movements counted by the movement number counting unit may be further provided.

[0016] In addition, in the above case, the movement number counting device may be configured by a smartphone.

[0017] The movement number counting program according to the present invention is a movement number counting program for counting the number of muscle movements based on myoelectric data corresponding to the myoelectric potential of a target site, and causes a computer to compare a first threshold with the myoelectric data to count the total number of movements, and compare a second threshold having a value equal to or greater than the first threshold with the myoelectric data to function as a movement number counting unit for counting the effective number of movements.

[0018] In this case, the value of the second threshold may be the same as the value of the first threshold, or may be greater than the value of the first threshold.

[0019] In addition, in the above case, the computer may be further caused to function as a threshold setting unit for setting the first threshold and the second threshold.

[0020] In addition, in the above case, the computer may be further caused to function as a movement number display processing unit for displaying the total number of movements and the effective number of movements counted by the movement number counting unit.

[0021] In addition, in the above case, the computer may be configured by a smartphone.

[0022] Incidentally, the above program can be distributed via various networks and portable recording media such as optical disks (e.g., CD-ROMs and DVD-ROMs).

Advantages of the Invention

[0023] According to the present invention, for example, even when performing personal exercise at home or the like, it becomes possible to confirm whether effective muscle exercise is being performed.

Brief Description of the Drawings

[0024]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Embodiments for Carrying Out the Invention

[0025] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0026] The exercise count system according to the present invention includes an electromyogram detector attached to a target part of a living body (in this embodiment, a human body), and an exercise count device that counts the number of exercises based on the electromyogram data transmitted from the electromyogram detector.

[0027] Hereinafter, a movement count system including an electromyogram sensor module as an electromyogram detector and a smartphone as a movement count device that counts the number of movements based on electromyogram data transmitted wirelessly from the electromyogram sensor module will be described.

[0028] Also, in the following embodiments, a smartphone having a wireless communication function using Bluetooth (registered trademark) LE (Low Energy) (hereinafter referred to as "BLE") is used, and BLE is used for wireless communication between the electromyogram sensor module and the smartphone.

[0029] FIG. 1 is a diagram for explaining the configuration of a movement count system 100 according to the present invention.

[0030] As shown in the figure, a movement count system 100 according to the present invention includes an electromyogram sensor module (electromyogram detector) 110 and a smartphone (movement count device) 120.

[0031] The electromyogram sensor module 110 is worn and used on a target part of the human body, detects the electromyogram of the target part, and transmits electromyogram data corresponding to the detected electromyogram to the smartphone 120. In the present embodiment, the electromyogram sensor module 110 periodically (for example, every 100 ms) detects the electromyogram, and transmits the electromyogram data corresponding to the detected electromyogram to the smartphone 120 by wireless communication using BLE.

[0032] As shown in the figure, the electromyogram sensor module 110 includes a plurality (three in the present embodiment) of surface electrodes 111 (111a to 111c), an amplification unit 112, a CPU (microcontroller) 113, a wireless communication unit 114, and a power supply unit 115.

[0033] The surface electrodes 111 (111a to 111c) are for detecting the myoelectric potential of a target part of the human body by being attached to the target part. In the present embodiment, the surface electrode 111 is composed of a pair of electrodes 111a and 111c for detecting the myoelectric potential and one electrode 111b for detecting the reference potential. When worn, the three electrodes 111a to 111c are arranged along the running direction of the target muscle (muscle fiber).

[0034] The amplification unit 112 amplifies the myoelectric potential detected by the surface electrode 111. In the present embodiment, the amplification unit 112 is configured to amplify and output the difference (potential difference) of the potentials detected by a pair of electrodes 111a and 111c for detecting the myoelectric potential. Further, in the present embodiment, the amplification unit 112 is configured to output a voltage of 0 to 3V corresponding to the magnitude of the potential difference detected by the pair of electrodes 111a and 111c. Also, the signal output from the amplification unit 112 is configured to be input to the CPU 113 via the analog input terminal of the CPU 113.

[0035] The CPU 113 is for controlling the operation of the myoelectric sensor module 110 and includes a memory (ROM 116 and RAM 117) and an A / D converter (ADC) 118 inside. The CPU 113 realizes various functions of the myoelectric sensor module 110 by executing a program recorded in advance in the internal ROM 115. Also, the CPU 113 operates the A / D converter 118 periodically (for example, every 100 ms) to convert the voltage value of the analog signal (the output signal of the amplification unit 112) input via the analog input terminal into a digital value (for example, 10-bit) (sampling). The converted digital value is transmitted as myoelectric data to the smartphone 120 via the wireless communication unit 114.

[0036] The wireless communication unit 114 is for performing wireless communication with the smartphone 120, and transmits the myoelectric data passed from the CPU 113 to the smartphone 120 by wireless communication. In the present embodiment, the wireless communication unit 114 transmits the myoelectric data to the smartphone 120 by wireless communication using BLE.

[0037] The power supply unit 115 is for supplying the power necessary for the operation of the myoelectric sensor module 110 to each part. In the present embodiment, the power supply unit 115 includes a power switch and a rechargeable battery (for example, a lithium ion polymer battery), and is configured such that the power supply voltage necessary for the operation of each part is generated from the voltage output by the rechargeable battery when the power switch is turned on. Further, the rechargeable battery is configured to be rechargeable via an external terminal (for example, a USB terminal) 119.

[0038] The smartphone 120 functions as an information processing device (computer) that receives the myoelectric data transmitted by the myoelectric sensor module 110 and counts the number of movements (counts) based on the received myoelectric data. In the present embodiment, the myoelectric data is received by wireless communication using BLE, and the received myoelectric data is compared with two types of threshold values to count the total number of movements and the number of effective movements.

[0039] The smartphone 120 has the same configuration as a general smartphone, and as shown in the figure, includes a CPU 121, a main storage unit 122, an auxiliary storage unit 123, a display unit 124, an input unit 125, a BLE wireless communication unit 126, and a mobile body communication unit 127. Note that only the components necessary for the description of the present embodiment are shown in the figure.

[0040] The CPU 121 is for controlling the operation of the smartphone 120, and realizes various functions (for example, the function as a movement counting device) by executing the program loaded in the main storage unit 122.

[0041] The main memory unit 122 stores various programs and data used by the CPU 121, and is constituted by, for example, SDRAM.

[0042] The auxiliary storage unit 123 records the operating system (OS), applications, and other various programs and data used by the CPU 121, and is constituted by, for example, a flash memory.

[0043] The display unit 124 displays the total number of counted movements, the number of effective movements, various videos, etc., and is constituted by, for example, a liquid crystal display (LCD) or an organic EL display (OELD).

[0044] The input unit 125 is for inputting various instructions of the user, and is constituted by, for example, a touch panel.

[0045] The BLE wireless communication unit 126 is for receiving the myoelectric data transmitted by the myoelectric sensor module 110, and performs wireless communication by BLE.

[0046] The mobile communication unit 127 performs wireless communication by mobile communication, for example, wireless communication by 4G / 5G mobile communication. The movement counting application executed on the smartphone 120 and the video data displayed on the display unit 124 are downloaded from the server by the mobile communication unit 127 via, for example, a 4G / 5G line.

[0047] FIG. 2 is a diagram for explaining the functional configuration of the movement counting device 200 realized by the smartphone 120.

[0048] As shown in the figure, the movement counting device 200 includes a myoelectric data reception processing unit 210, a movement counting unit 220, a movement count display processing unit 230, and a threshold setting unit 240. The functions of each unit 210 to 240 are basically realized by executing a movement counting application (movement counting program) installed on the smartphone 120.

[0049] The EMG data reception processing unit 210 is for receiving the EMG data transmitted from the EMG sensor module 110. In the present embodiment, the EMG data reception processing unit 210 has an EMG data storage area 211, and the EMG data received from the EMG sensor module 110 is sequentially stored in the EMG data storage area 211. In the present embodiment, the EMG data storage area 211 is managed to form a ring buffer so that a size capable of storing a plurality of pieces of EMG data is secured and the latest EMG data can be stably read out.

[0050] The movement count unit 220 reads the latest EMG data from the EMG data reception processing unit 210 (EMG data storage area 211) and counts the total number of movements and the number of effective movements by comparing them with a first threshold value and a second threshold value having a value equal to or greater than the first threshold value, respectively. Details of the movement count method in the movement count unit 220 will be described later.

[0051] The movement count display processing unit 230 is for displaying the total number of movements, the number of effective movements, etc. counted by the movement count unit 220 on the display unit 124.

[0052] The threshold setting unit 240 is for setting the first threshold and the second threshold used by the exercise counting unit 220. In this embodiment, a plurality of types of first and second threshold pairs are prepared in advance for each target body part, and for example, a corresponding set of thresholds is output to the exercise counting unit 220 according to the target body part and the exercise mode (user level) selected by the user. For example, if the value of the first threshold of a certain body part is Vth, the following options are prepared as the set of the first and second thresholds {first threshold, second threshold} of a certain body part: {Vth, Vth} ("easy" mode), {Vth, Vth+a} (a is a positive number) ("normal" mode), {Vth, Vth+b} (b>a) ("hard" mode), and {Vth, Vth+c} (c>b) ("expert" mode) so that the second threshold increases in sequence, making it possible to count the number of effective exercises according to the user's muscle strength, etc.

[0053] 3 is a diagram for explaining the principle of the exercise counting method in the exercise counting system 100 (exercise counting device 200). The diagram shows the time change of electromyogram data, where the horizontal axis indicates time and the vertical axis indicates electromyogram data (voltage value). The diagram also shows a first threshold 301 (1.5 V in the example shown) for counting the total number of exercises and a second threshold 302 (2.0 V in the example shown) for counting the effective number of exercises.

[0054] The figure shows how the myoelectric data changes when a specific exercise movement is performed three times, and as shown in the figure, the myoelectric data changes to form three peaks 311-313 that exceed a first threshold value 301 in response to each of the three exercise movements. In the example shown in the figure, the third peak 313 also changes to exceed the second threshold value 302.

[0055] EMG data (electromyogram) generally becomes larger as the number of muscle fibers contracting (muscle activity) increases. Therefore, the smartphone 120 counts the total number of movements and the number of effective movements by comparing the EMG data sent from the EMG sensor module 110 with the first threshold value 301 and the second threshold value 302 respectively. More specifically, when the received EMG data becomes equal to or greater than the first threshold value 301 (1.5V), it is determined that a predetermined movement operation has been performed, and the total number of movements is counted up (+1). Further, when the received EMG data becomes equal to or greater than the second threshold value 302 (2.0V), it is determined that a movement operation (effective movement operation) accompanied by sufficient muscle contraction (muscle activity) has been performed, and the number of effective movements is counted up (+1). Also, as will be described later, in this embodiment, the smartphone 120 determines that one movement operation has ended when the received EMG data becomes less than or equal to the third threshold value (for example, 0.3V) after becoming greater than the first threshold value (1.5V).

[0056] Figures 4 and 5 are flowcharts for explaining the flow of the movement count processing in the smartphone 120 (movement count unit 220).

[0057] As shown in Figure 4, the movement count unit 220 first receives the EMG data to be discriminated (target EMG data) from the EMG data reception processing unit 210 (S401). That is, the latest EMG data is read from the EMG data storage area 211 of the EMG data reception processing unit 210.

[0058] Next, it is discriminated whether the target EMG data is equal to or greater than the first threshold value (S402). As a result of the discrimination, if the target EMG data is less than the first threshold value (S402: No), the EMG data to be discriminated is received from the EMG data reception processing unit 210 again (S401), and it is discriminated again whether the target EMG data is equal to or greater than the first threshold value (S402).

[0059] On the other hand, if as a result of the determination, the target EMG data is equal to or greater than the first threshold value (S402: Yes), it is determined that a movement operation has been performed, and the variable tc for counting the total number of movement times is incremented (+1) (S403). It is assumed that the variable tc is initialized to 0 in advance at the start of the process or the like.

[0060] Next, it is determined whether or not the target EMG data is equal to or greater than the second threshold value (S404). If as a result of the determination, the target EMG data is equal to or greater than the second threshold value (S404: Yes), it is determined that a valid movement operation has been performed, and the variable ec for counting the number of valid movement times is incremented (+1) (S405). It is assumed that the variable ec is initialized to 0 in advance at the start of the process or the like.

[0061] Next, it is determined whether or not the total number of movement times has reached the set number of times (S406). That is, it is determined whether or not the value of the variable tc for counting the total number of movement times has reached the predetermined value sc. The predetermined value sc is set to a value appropriately selected by the user, for example, before starting the process.

[0062] If as a result of the determination, the total number of movement times has reached the set number of times (S406: Yes), the process is terminated. On the other hand, if the total number of movement times has not reached the set number of times (S406: No), as shown in FIG. 5, the EMG data to be determined is received again from the EMG data reception processing unit 210 (S501).

[0063] Next, it is determined whether or not the target EMG data is equal to or less than the third threshold value (S502). If as a result of the determination, the target EMG data is not equal to or less than the third threshold value (S502: No), the EMG data to be determined is received again from the EMG data reception processing unit 210 (S501), and it is determined again whether or not the target EMG data is equal to or less than the third threshold value (S502).

[0064] On the other hand, if as a result of the determination, the received myoelectric data is equal to or less than the third threshold (S502: Yes), it is determined that one movement operation has ended, and the process returns to the above-described process S401, and again, the myoelectric data to be determined is received from the myoelectric data reception processing unit 210 (S401), and the processes after the above-described process S402 are performed.

[0065] Also, if as a result of the determination in the above-described process S404, the target myoelectric data is less than the second threshold (S404: No), as shown in FIG. 5, again, the myoelectric data to be determined is received from the myoelectric data reception processing unit 210 (S503).

[0066] Next, it is determined whether or not the target myoelectric data is equal to or less than the third threshold (S504). If as a result of the determination, the target myoelectric data is equal to or less than the third threshold (S504: Yes), it is determined that one movement operation has ended, and the process returns to the above-described process S401, and again, the myoelectric data to be determined is received from the myoelectric data reception processing unit 210 (S401), and the processes after the above-described process S402 are performed.

[0067] On the other hand, if as a result of the determination, the target myoelectric data is not equal to or less than the third threshold (S504: No), subsequently, it is determined whether or not the target myoelectric data is equal to or greater than the second threshold (S505). If as a result of the determination, the target myoelectric data is equal to or greater than the second threshold (S505: Yes), it is determined that a valid movement operation has been performed, and the variable ec for counting the number of valid movements is incremented (+1) (S405). Thereafter, the processes after the above-described process S406 are performed.

[0068] On the other hand, if as a result of the determination, the target myoelectric data is less than the second threshold (S505: No), again, the myoelectric data to be determined is received from the myoelectric data reception processing unit 210 (S503), and the processes after the above-described process S504 are performed.

[0069] By performing the above-described processing, the total number of movements and the number of effective movements are counted based on the EMG data periodically sent from the EMG sensor module 110. The counted total number of movements and the number of effective movements are displayed on the display unit 124 by the movement count display processing unit 230.

[0070] FIG. 6 is a diagram showing an example of a display screen displayed on the display unit 124 of the smartphone 120. This figure shows an example of the display when the number of effective movements is "3", the total number of movements is "5", and the set number of movements is "10".

[0071] As shown in the figure, the display screen displayed on the display unit 124 of the smartphone 120 includes a video display area 610, an effective movement count display area 620, a total movement count display area 630, and an icon display area 640.

[0072] The video display area 610 is an area where a video for explaining the wearing method of the EMG sensor module 110, a video for explaining the movement operation, etc. are displayed.

[0073] The effective movement count display area 620 is an area where the number of effective movements counted by the movement count unit 220 is displayed. In the example shown in the figure, the set number of movements ("10") is displayed together with the number of effective movements ("3").

[0074] The total movement count display area 630 is an area where the total number of movements counted by the movement count unit 220 is displayed. In the example shown in the figure, the set number of movements ("10") is displayed together with the total number of effective movements ("5").

[0075] The icon display area 640 is an area where various icons for calling various functions of the movement count application are displayed. In the figure, for simplicity, the display of the icons is omitted.

[0076] Next, a method of using the exercise count system 100 having the above configuration will be described. Hereinafter, a case of performing strength training using the exercise count system 100 will be described.

[0077] First, the user activates an exercise count application pre-installed on the smartphone 120.

[0078] Next, the user operates the input unit 125 of the smartphone 120 to select a part to be targeted for strength training (e.g., "biceps brachii"), a movement action (e.g., "arm curl"), a movement mode (e.g., "normal"), etc.

[0079] When the user's selection of the target part, etc. is completed, a video explaining how to attach the electromyogram sensor module 110 to the selected target part and a video explaining the selected movement action are displayed in the video display area 610 of the display unit 124 of the smartphone 120.

[0080] The user attaches the electromyogram sensor module 110 with reference to the video displayed in the video display area 610 and confirms the correct way of performing the movement action.

[0081] Next, the user operates the input unit 125 to instruct the start of counting and then performs the movement action. When the start of counting is instructed, the exercise count application starts counting the number of exercises based on the electromyogram data transmitted from the electromyogram sensor module 110. Further, the counted number of exercises is displayed on the display unit 124.

[0082] While checking the number of exercises displayed on the display unit 124, the user can perform strength training to find out whether the movement action performed was one accompanied by sufficient muscle contraction (muscle activity) (a movement action effective for strength training). Therefore, it becomes possible to improve the user's movement action, etc., and it becomes possible to enhance the effect of strength training.

[0083] As described in detail above, according to the exercise count system of the present invention, when performing an exercise operation, it is possible to confirm whether effective muscle exercise is being performed. Therefore, for example, even when performing self-made muscle training at home or the like, it is possible to perform effective muscle training.

[0084] Also, in the above-described embodiment, since the threshold value for counting the number of effective exercises can be changed, it is possible to count the number of effective exercises according to the muscle strength and the like of each user, and it is possible to maintain and improve the motivation for muscle exercise for a wide range of users.

[0085] Although the embodiments of the present invention have been described above, it goes without saying that the embodiments of the present invention are not limited to the above. For example, in the above-described embodiment, the exercise count device is realized using a smartphone having both a function as a mobile phone and a function as a computer. However, it is also conceivable to realize the exercise count device using other information processing devices, for example, a tablet terminal or a personal computer.

[0086] Also, in the above-described embodiment, wireless communication by BLE is used for communication between the electromyogram sensor module 110 and the smartphone 120. However, it is also conceivable to use a wireless communication method other than BLE, or a wired communication method.

[0087] Also, in the above-described embodiment, as the third threshold value, one predetermined value is used. However, similar to the first threshold value and the second threshold value, it is also conceivable to make it possible to set different values for each target site by the threshold value setting unit 240.

[0088] Also, in the above-described embodiment, as a set of a first threshold value and a second threshold value, a plurality of types are prepared in advance for each target site. However, it is also conceivable to prepare one type (for example, corresponding to the "normal" mode) for each target site. Further, for each threshold value, it is also conceivable to be able to change it to a value suitable for each user according to, for example, the analysis result of the electromyogram data of each user.

Explanation of Signs

[0089] 100 Exercise Counting System 110 Electromyogram Sensor Module 111, 111a~111c Surface Electrodes 112 Amplification Unit 113 CPU (Microcontroller) 114 Wireless Communication Unit 115 Power Supply Unit 116 ROM 117 RAM 118 A / D Converter 119 External Terminal 120 Smartphone 121 CPU 122 Main Memory Unit 123 Auxiliary Memory Unit 124 Display Unit 125 Input Unit 126 BLE Wireless Communication Unit 127 Mobile Body Communication Unit 200 Exercise Counting Device 210 Electromyogram Data Reception Processing Unit 211 Electromyogram Data Storage Area 220 Exercise Counting Unit 230 Exercise Count Display Processing Unit 240 Threshold Setting Unit 301 First Threshold Value 302 Second Threshold Value 311~313 Peaks 610 Video Display Area 620 Effective Exercise Count Display Area 630 Total Exercise Count Display Area 640 Icon Display Area

Claims

1. An electromyogram detector that is attached to a target site, detects the electromyogram of the target site, and transmits electromyogram data corresponding to the detected electromyogram, and a movement count device that counts the number of muscle movements based on the electromyogram data transmitted from the electromyogram detector are provided, wherein the movement count device comprises a movement count unit that counts the total number of movements by comparing a first threshold value with the electromyogram data, and counts the number of effective movements by comparing a second threshold value having a value equal to or greater than the first threshold value with the electromyogram data A movement count system characterized by this.

2. The movement count device further comprises a threshold setting unit for setting the first threshold value and the second threshold value The movement count system according to claim 1, characterized by this.

3. The movement count device further comprises a display unit that displays the total number of movements and the number of effective movements counted by the movement count unit The movement count system according to claim 1 or 2, characterized by this.

4. A movement count device that counts the number of muscle movements based on electromyogram data corresponding to the electromyogram of a target site, comprising a movement count unit that counts the total number of movements by comparing a first threshold value with the electromyogram data, and counts the number of effective movements by comparing a second threshold value having a value equal to or greater than the first threshold value with the electromyogram data A movement count device characterized by this.

5. further comprises a threshold setting unit for setting the first threshold value and the second threshold value The movement count device according to claim 4, characterized by this.

6. further comprises a display unit that displays the total number of movements and the number of effective movements counted by the movement count unit The movement count device according to claim 4 or 5, characterized by this.

7. A movement count program that counts the number of muscle movements based on electromyogram data corresponding to the electromyogram of a target site, causing a computer to function as a movement count unit that counts the total number of movements by comparing a first threshold value with the electromyogram data, and counts the number of effective movements by comparing a second threshold value having a value equal to or greater than the first threshold value with the electromyogram data A movement count program characterized by this.

8. causing the computer to further function as a threshold setting unit for setting the first threshold value and the second threshold value The exercise count program according to claim 7, characterized in that...

9. The computer is further caused to function as an exercise count display processing unit that displays the total number of exercises and the number of effective exercises counted by the exercise count unit. The exercise count program according to claim 7 or 8, characterized in that...

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