JP2018110730A - Muscle activity state analysis system, muscle activity state analysis method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enable a user of bicycle-type exercise equipment to easily grasp one's muscle activity state even without advice of an expert.SOLUTION: A muscle activity state analysis system 1 includes: bicycle-type exercise equipment 10; a myoelectric potential measurement unit 21 for measuring a myoelectric potential of a user of the bicycle-type exercise equipment 10 during using the bicycle-type exercise equipment 10; a memory unit 30 for storing myoelectric potential model data being measurement results of the myoelectric potential measured under the conditions being the same as the measurement conditions of the user's myoelectric potential; a comparing unit 40 for comparing the user's myoelectric potential measured by the myoelectric potential measurement unit 21 and the myoelectric potential model data stored in the memory unit 30; and an output unit 50 for outputting results of comparison by the comparing unit 40.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a muscle activity state analysis system, a muscle activity state analysis method, and a program.

  Conventionally, a muscle fatigue determination device as shown in Patent Document 1 below is known. This muscle fatigue determination device detects a load applied to a pedal of a bicycle, a rotational speed detector that detects a rotational speed of a bicycle crank, and a user's electromyogram corresponding to the load and the rotational speed. A plurality of users corresponding to a myoelectric detector, a load, a rotation speed, an information acquisition unit that acquires myoelectricity corresponding to the load and the rotation speed, and a load and a rotation speed included in a predetermined range A muscle fatigue information generation unit that generates user's muscle fatigue information based on whether or not the difference in myoelectricity is greater than a first threshold value.

JP 2006-107093 A

  Although the muscle fatigue determination device described in Patent Document 1 can estimate the fatigue of the user's muscles as time passes, it allows the user to grasp whether the user's muscle activity state is good or bad at a certain time. I can't. That is, the user cannot grasp the good or bad state of the activity state of his / her muscle at a certain time without the advice of an expert.

  The present invention has been made in consideration of such circumstances, and a muscle activity state analysis system that allows a user of a bicycle-type exercise device to easily grasp the activity state of his / her muscles without the advice of an expert. An object of the present invention is to provide a muscle activity state analysis method and program.

  In order to solve the above problems, a muscle activity state analysis system according to the present invention includes a bicycle-type exercise device and a myoelectric potential measurement for measuring a myoelectric potential of a user of the bicycle-type exercise device during use of the bicycle-type exercise device. A storage unit for storing myoelectric potential model data, which is a measurement result of myoelectric potential measured under the same conditions as the user's myoelectric potential measurement conditions, and the use measured by the myoelectric potential measuring unit A comparison unit that compares the myoelectric potential of the person with the myoelectric potential model data stored in the storage unit, and an output unit that outputs a comparison result by the comparison unit.

  According to the muscle activity state analysis system of the present invention, the myoelectric potential of the user is compared with the myoelectric potential model data, so that the user of the bicycle-type exercise device can use his / her muscles without expert advice. Based on the comparison result between the electric potential and the myoelectric potential model data, it is possible to easily grasp whether the activity state of the own muscle is good or bad.

  Here, in the muscle activity state analysis system, the myoelectric potential model data may be a measurement result of a myoelectric potential of a bicycle athlete measured under the same conditions as the user's myoelectric potential measurement conditions. .

  In this case, the user of the bicycle-type exercise device can easily grasp whether the activity state of his / her muscle is good or not while enjoying the comparison between his / her electromyogram and the myoelectric potential of the bicycle player. In addition, the user of the bicycle-type exercise device can grasp a region where the muscular activity state is worse than that of the bicycle athlete.

  In the muscle activity state analysis system, the myoelectric potential model data is the measurement result of the user's own myoelectric potential measured at least one day ago under the same condition as the user's myoelectric potential measurement condition. It may be.

  In this case, the user of the bicycle-type exercise device can easily grasp the temporal change in the activity state of his / her muscle based on the comparison result between his / her current myoelectric potential and his / her past myoelectric potential. Thereby, the user of the bicycle-type exercise device can grasp his current health condition.

  In the muscle activity state analysis system, the myoelectric potential measurement unit may measure the myoelectric potential of the user during simulated running of the bicycle exercise apparatus indoors.

  In this case, the user of the bicycle-type exercise device can easily grasp whether the activity state of his / her muscle is good or bad even when the weather is bad.

  In the muscle activity state analysis system, the myoelectric potential measurement unit may measure the user's myoelectric potential during actual running of the bicycle exercise apparatus outdoors.

  In this case, the user of the bicycle-type exercise device can easily grasp whether the activity state of his / her muscle is good or bad while enjoying the actual running of the bicycle-type exercise device outdoors.

  In the muscle activity state analysis system, the bicycle exercise apparatus may be configured to be capable of adjusting at least one of a position, an angle, and a length of a handle, a crank portion, and a saddle.

  In this case, even if the physique of the user of the bicycle exerciser and the physique of the person to be measured in the myoelectric potential model data are different, the measurement conditions of the myoelectric potential of the user of the bicycle exerciser and the myoelectric potential The measurement conditions of the model data can be made the same.

  In the muscle activity state analysis system, the bicycle exercise apparatus adjusts at least one of the position, angle, and length of the handle, the crank portion, and the saddle based on the comparison result. May be.

  In this case, the user of the bicycle-type exercise device is more efficient than the case where the position, angle or length of the handle, the crank portion or the saddle is adjusted without being based on the comparison result by the comparison portion. The activity state can be improved.

  The muscle activity state analysis system further includes a heart rate measurement unit that measures the heart rate of the user during use of the bicycle exercise apparatus, and the storage unit is configured to measure the heart rate of the user. The heart rate model data, which is the measurement result of the heart rate measured under the same conditions as above, is stored, and the comparison unit stores the heart rate of the user measured by the heart rate measurement unit and the storage unit. The stored heart rate model data may be compared, and the output unit may output a comparison result between the user's heart rate and the heart rate model data by the comparison unit.

  In this case, the user's heart rate is compared with the heart rate model data, so users of bicycle exercise equipment can compare their heart rate with the heart rate model data without professional advice. You can easily grasp your cardiopulmonary function based on the results.

  In the muscle activity state analysis method of the present invention, the muscle activity state analysis system measures the myoelectric potential of the user of the bicycle exercise apparatus during use of the bicycle exercise apparatus, and the first step. A second step of comparing the user's myoelectric potential measured in step 2 with the myoelectric potential model data measured and stored under the same conditions as the user's myoelectric potential measurement conditions; And a third step of outputting a comparison result in the step.

  According to the muscle activity state analysis method of the present invention, the user's myoelectric potential and myoelectric potential model data are compared, so that the user of the bicycle-type exercise device can use his / her muscles without expert advice. Based on the comparison result between the electric potential and the myoelectric potential model data, it is possible to easily grasp whether the activity state of the own muscle is good or bad.

  In addition, the program of the present invention includes a first step of measuring a myoelectric potential of a user of the bicycle-type exercise device during use of the bicycle-type exercise device, and the user's measured in the first step. A second step of comparing the myoelectric potential with the myoelectric potential model data measured and stored under the same conditions as the user's myoelectric potential measurement condition, and outputting the comparison result in the second step 3 steps are executed.

  According to the program of the present invention, the user's myoelectric potential and myoelectric potential model data are compared, so that the user of the bicycle-type exercise device can obtain his / her myoelectric potential and myoelectric potential without the advice of an expert. Based on the comparison result with the model data, it is possible to easily grasp whether the activity state of one's muscle is good or bad.

  According to the present invention, there is provided a muscle activity state analysis system, a muscle activity state analysis method, and a program that allow a user of a bicycle-type exercise device to easily grasp the activity state of his / her muscles without the advice of an expert. can do.

It is a lineblock diagram of the muscular activity state analysis system concerning a 1st embodiment. It is a block diagram which shows the function of the bicycle type exercise apparatus of FIG. It is the side view etc. of the bicycle-type exercise device main body of the bicycle-type exercise device of the muscle activity state analysis system of 1st Embodiment. It is a flowchart for demonstrating an example of the process performed in the muscular activity state analysis system of 1st Embodiment. It is the side view etc. of the bicycle-type exercise device main body of the bicycle-type exercise device of the muscle activity state analysis system of 3rd Embodiment.

[First Embodiment]
Hereinafter, the configuration of the muscle activity state analysis system 1 according to the first embodiment will be described with reference to FIG. FIG. 1 is a configuration diagram of a muscle activity state analysis system 1 according to the first embodiment.
The muscle activity state analysis system 1 includes a bicycle exercise device 10, a myoelectric potential measurement unit 21, a storage unit 30, a comparison unit 40, and an output unit 50.
The myoelectric potential measurement unit 21 measures the myoelectric potential of the user of the bicycle exercise apparatus 10 while the bicycle exercise apparatus 10 is in use. For the measurement of myoelectric potential, for example, a known myoelectric potential sensor is used. The myoelectric potential sensor is attached to muscles that are active when the bicycle-type exercise device 10 is used, such as rectus femoris, biceps femoris, and the like.
The storage unit 30 stores myoelectric potential model data, which is a measurement result of myoelectric potential measured under the same conditions as the user's myoelectric potential measurement conditions. The comparison unit 40 compares the user's myoelectric potential measured by the myoelectric potential measurement unit 21 with the myoelectric potential model data stored in the storage unit 30.

The output unit 50 outputs the comparison result from the comparison unit 40. In the example illustrated in FIG. 1, the output unit 50 includes a display unit 50a and an audio output unit 50b. The display unit 50a is, for example, a liquid crystal display device. The display unit 50a displays the comparison result by the comparison unit 40. The audio output unit 50b is, for example, a speaker. The voice output unit 50b outputs the comparison result by the comparison unit 40 as a voice.
The output unit 50 may include only one of the display unit 50a and the audio output unit 50b. Or the output part 50 may output the comparison result by the comparison part 40 by printing parts, such as a printer, for example.

  In the example shown in FIG. 1, the muscle activity state analysis system 1 further includes a heart rate measuring unit 22. The heart rate measuring unit 22 measures the heart rate of the user during use of the bicycle exercise apparatus 10. The memory | storage part 30 memorize | stores the heart rate model data which are the measurement results of the heart rate measured on the same conditions as the user's heart rate measurement conditions. The comparison unit 40 compares the user's heart rate measured by the heart rate measurement unit 22 with the heart rate model data stored in the storage unit 30. The output unit 50 outputs a comparison result between the heart rate of the user and the heart rate model data by the comparison unit 40.

  FIG. 2 is a block diagram showing functions of the bicycle exercise apparatus 10 of FIG. The bicycle exercise apparatus 10 includes a bicycle exercise apparatus body 10a, a pedaling measurement unit 10b, a load measurement unit 10c, a pedaling phase output measurement unit 10d, a bicycle position variable unit 10e, and a bicycle tilt posture variable unit 10f. A bicycle driving phase load variable unit 10g.

FIG. 3A is a side view of the bicycle exercise apparatus body 10a of the bicycle exercise apparatus 10 of the muscle activity state analysis system 1 of the first embodiment. FIG. 3B is a view of the right foot pedal 10a2b of the bicycle exercise apparatus main body 10a of the bicycle exercise apparatus 10 of the muscle activity state analysis system 1 of the first embodiment as viewed from the upper side of FIG. 3A. .
In the muscle activity state analysis system 1 of the first embodiment, the bicycle-type exercise device body 10a is configured for simulated running indoors. The bicycle exercise apparatus body 10a includes a handle 10a1, a crank portion 10a2, and a saddle 10a3. The crank portion 10a2 includes a crank 10a2a and a pedal 10a2b.
In the muscle activity state analysis system 1 of the first embodiment, the bicycle-type exercise device 10 is configured to be able to adjust at least one of the position, angle, and length of the handle 10a1, the crank portion 10a2, and the saddle 10a3. ing.
In the example shown in FIG. 3A, the front-rear direction position of the handle 10a1 is the front-rear direction (the left-right direction of FIG. ) Is adjustable. The vertical position of the handle 10a1 is configured to be adjustable in the vertical direction (the vertical direction in FIG. 3A) of the bicycle-type exercise device body 10a, as indicated by a bidirectional arrow A1b. The angle of the handle 10a1 is configured to be rotatable about a rotation center axis 10a1L of the handle 10a1 parallel to the Z axis, as indicated by a bidirectional arrow A1c.
Further, in the example shown in FIG. 3A, the position of the saddle 10a3 in the front-rear direction is configured to be adjustable in the front-rear direction of the bicycle exerciser body 10a as indicated by a bidirectional arrow A3a parallel to the X axis. Yes. The vertical position of the saddle 10a3 is configured to be adjustable in the vertical direction of the bicycle-type exercise device main body 10a, as indicated by a bidirectional arrow A3b. The angle of the saddle 10a3 is configured to be rotatable about a rotation center axis 10a3L of the saddle 10a3 parallel to the Z axis, as indicated by a bidirectional arrow A3c.

In the example shown in FIG. 3A, the crank 10a2a of the crank portion 10a2 includes a crank actuator. As a result, the length L2a of the crank portion 10a2 can be adjusted. In another example, the length L2a of the crank portion 10a2 may be adjusted by exchanging parts of the crank 10a2a.
In the example shown in FIGS. 3A and 3B, the user's shoes are fixed to the pedal 10a2b through the binding. The crank portion 10a2 includes a binding actuator. As a result, the front-rear direction position of the pedal 10a2b of the crank part 10a2 (specifically, the front-rear direction position of the user's shoes) is indicated by the bi-directional arrow A2a parallel to the X-axis. Adjustable in the front-rear direction. Further, the left-right position of the pedal 10a2b (specifically, the left-right position of the user's shoes) can be adjusted in the left-right direction of the bicycle exerciser body 10a, as indicated by a two-way arrow A2b parallel to the Z axis. It is. Further, the angle A2c formed by the front-rear direction D10a2b of the pedal 10a2b and the heel-toe direction DS of the user's shoes can be adjusted.
In another example, the user may adjust the binding in the front-back direction of the user's shoes, the position in the left-right direction of the user's shoes, or the angle A2c by manually adjusting the binding.
In the example shown in FIG. 3B, the angle A2c is adjusted such that the toes of the user are directed outward from the front-rear direction D10a2b of the pedal 10a2b. In another example, the angle A2c can be adjusted such that the toes of the user are directed inward from the front-rear direction D10a2b of the pedal 10a2b.
In the example shown in FIGS. 3A and 3B, the pedal 10a2b can rotate with respect to the crank 10a2a about the rotation center axis 10a2bL.

In the example shown in FIGS. 2 and 3, the bicycle position varying unit 10 e includes a handle actuator. The bicycle position changing unit 10e moves the handle 10a1 in the front-rear direction or the up-down direction of the bicycle exerciser body 10a, or rotates the handle 10a1 around the rotation center axis 10a1L, thereby changing the position or angle of the handle 10a1. change.
In addition, the bicycle position variable unit 10e includes a saddle actuator. The bicycle position changing unit 10e moves the saddle 10a3 in the front-rear direction or the vertical direction of the bicycle exerciser body 10a, or rotates the saddle 10a3 around the rotation center axis 10a3L, thereby changing the position or angle of the saddle 10a3. change.
In addition, the bicycle position variable unit 10e changes the length L2a of the crank portion 10a2 by operating the crank actuator.
In addition, the bicycle position changing unit 10e operates the binding actuator to operate the front / rear direction position of the user's shoes, the left / right direction position of the user's shoes, or the front / rear direction D10a2b of the pedal 10a2b and the user's shoes. The angle A2c formed by the heel-toe direction DS is changed.
The bicycle position variable unit 10e may include a crank unit actuator. In that case, the bicycle position changing unit 10e changes the position of the crank rotation center 10a2L by moving the crank rotation center 10a2L in the front-rear direction or the vertical direction of the bicycle exercise equipment body 10a.

In the example shown in FIGS. 2 and 3, the pedaling measurement unit 10 b includes a load sensor. The pedaling measuring unit 10b measures a pedal load, which is a user's pedaling force necessary for the rotation of the crank unit 10a2, based on the output signal of the load sensor.
In the example shown in FIGS. 2 and 3, the pedaling measurement unit 10b includes a rotation speed sensor. The pedaling measurement unit 10b measures cadence, which is the rotation speed of the crank unit 10a2, based on the output signal of the rotation speed sensor.

  In the example shown in FIGS. 2 and 3, the load measuring unit 10c includes a load sensor for the handle 10a1 and a load sensor for the saddle 10a3. The load measuring unit 10c measures the load applied to the handle 10a1 based on the output signal of the load sensor for the handle 10a1. The load measuring unit 10c measures the load applied to the saddle 10a3 based on the output signal of the load sensor for the saddle 10a3.

  In the example shown in FIGS. 2 and 3, the pedaling phase output measuring unit 10d includes an angle sensor that detects the angle of the crank portion 10a2. The pedaling phase output measuring unit 10d measures a pedaling phase output that is a pedaling output for each phase of the crank unit 10a2 based on the output signal of the rotation speed sensor and the output signal of the angle sensor.

In the example shown in FIGS. 2 and 3, the bicycle tilt posture varying unit 10 f includes a mechanism similar to a known treadmill having an uphill mode.
When the bicycle-type exercise device main body 10a performs simulated running on a flat road, the bicycle inclination posture variable unit 10f sets the posture of the bicycle-type exercise device main body 10a to be horizontal. When a simulated traveling on an uphill road is executed by the bicycle exerciser body 10a, the bicycle inclination posture variable unit 10f inclines the posture of the bicycle exerciser body 10a.

  In the example shown in FIG. 2 and FIG. 3, the bicycle drive phase load variable section 10g includes a pedal load changing actuator, and changes the pedal load according to the phase of the crank section 10a2.

FIG. 4 is a flowchart for explaining an example of processing executed in the muscle activity state analysis system 1 of the first embodiment.
The muscle activity state analysis system 1 according to the first embodiment starts the processing shown in FIG. 4 when the bicycle-type exercise apparatus 10 is indoors.
In the example shown in FIG. 4, in step S <b> 1, the myoelectric potential measurement unit 21 measures the myoelectric potential of the user of the bicycle exercise apparatus 10 while using the bicycle exercise apparatus 10. That is, in the example shown in FIG. 4, the myoelectric potential measuring unit 21 measures the myoelectric potential of the user during the simulated running of the bicycle exercise apparatus 10 indoors. The heart rate measuring unit 22 measures the user's heart rate.

  In the example illustrated in FIG. 4, in step S <b> 2, the comparison unit 40 then performs measurement under the same conditions as the user myoelectric potential measured in step S <b> 1 and the user myoelectric potential measurement condition. The myoelectric potential model data stored in 30 is compared. The comparison unit 40 also compares the user's heart rate with the heart rate model data stored in the storage unit 30.

  In the example illustrated in FIG. 4, in step S <b> 3, the output unit 50 then outputs a comparison result between the user's myoelectric potential and myoelectric potential model data. The output unit 50 outputs a comparison result between the user's heart rate and heart rate model data.

In the muscle activity state analysis system 1 of the first embodiment, the bicycle competition in which the myoelectric potential model data compared with the user's myoelectric potential in step S2 is measured under the same conditions as the user's myoelectric potential measurement conditions. It is a measurement result of a player's myoelectric potential. Further, the heart rate model data to be compared with the user's heart rate in step S2 is a measurement result of the bicycle athlete's heart rate measured under the same conditions as the user's heart rate measurement condition.
That is, in the muscle activity state analysis system 1 of the first embodiment, the myoelectric potential model data that is a measurement result of the myoelectric potential of the bicycle athlete and the heart rate model data that is the measurement result of the heart rate of the bicyclist are: It is stored in the storage unit 30.

Further, in the example shown in FIG. 4 to which the muscle activity state analysis system 1 of the first embodiment is applied, the measurement condition of at least one of the user's myoelectric potential and heart rate is the same as the measurement condition of the bicycle athlete. When measuring at least one of the myoelectric potential and the heart rate of the user, the position, angle, and length of at least one of the handle 10a1, the crank portion 10a2, and the saddle 10a3 of the bicycle exerciser body 10a are measured. At least one is adjusted.
Specifically, in an example to which the muscle activity state analysis system 1 of the first embodiment is applied, at the time of measuring at least one of the user's myoelectric potential and heart rate, the user first determines the user's physique ( Height, inseam dimensions, weight, etc.), purpose of use (competition-oriented race, hill climb race, etc.), level (intermediate level, advanced level, etc.), basic physical strength, etc. are input to the muscle activity state analysis system 1. In this example, the user wants to measure at least one of myoelectric potential and heart rate under the same measurement conditions as the bicycle athlete. Therefore, the user inputs the user's physique, “competition-oriented race”, and “advanced level” to the muscle activity state analysis system 1. The muscle activity state analysis system 1 includes, as a database, the positions, angles, and lengths of the handle 10a1, the crank portion 10a2, and the saddle 10a3 of the bicycle exercise device body 10a corresponding to the user's physique, purpose of use, level, and basic physical strength. ing.
Next, the bicycle position variable unit 10e determines that the measurement condition of at least one of the user's myoelectric potential and heart rate is the same as the measurement condition of the bicycle athlete based on the contents of the database. The position, angle, and / or length of at least one of the handle 10a1, the crank portion 10a2, and the saddle 10a3 of the exercise equipment main body 10a are adjusted.
In another example to which the muscular activity state analysis system 1 of the first embodiment is applied, as in the above-described example, the user determines the physique of the user, the “competition-oriented race”, and the “advanced level” muscular activity. Input to the state analysis system 1. Also in this example, similarly to the example described above, the muscle activity state analysis system 1 includes the database described above. Next, the muscle activity state analysis system 1 includes the handle 10a1 and the crank portion of the bicycle-type exercise apparatus main body 10a in which the measurement conditions of at least one of the user's myoelectric potential and heart rate and the measurement conditions of the bicycle athlete are the same. The position, angle, and length of the 10a2 and the saddle 10a3 are shown to the user via the output unit 50, for example. Next, the user adjusts at least one of the position, angle, and length of the handle 10 a 1, the crank portion 10 a 2, and the saddle 10 a 3 of the bicycle exercise apparatus body 10 a according to the guidance indicated by the muscle activity state analysis system 1.
As described above, the bicycle position variable portion 10e or the user adjusts at least one of the position, angle, and length of the handle 10a1, the crank portion 10a2, and the saddle 10a3. The correct positional relationship between the crank portion 10a2 and the saddle 10a3 can be learned.

An example of the order of adjusting the position, angle, and length of the handle 10a1, the crank portion 10a2, and the saddle 10a3 by the bicycle position variable portion 10e is as follows.
First, based on the user's physique data input to the muscle activity state analysis system 1, the bicycle position variable unit 10e adjusts the length L2a of the crank unit 10a2. Next, the bicycle position varying unit 10e adjusts the front-rear direction position (the front-rear direction position of the user's shoes) of the pedal 10a2b of the crank part 10a2. Next, the bicycle position varying unit 10e adjusts the left-right position (the left-right position of the user's shoes) of the pedal 10a2b of the crank portion 10a2. Next, the bicycle position variable unit 10e adjusts the vertical position of the saddle 10a3. Next, the bicycle position variable unit 10e adjusts the position of the saddle 10a3 in the front-rear direction. Next, the bicycle position variable unit 10e adjusts the position of the handle 10a1 in the front-rear direction. Next, the bicycle position variable unit 10e adjusts the vertical position of the handle 10a1. Next, the bicycle position variable unit 10e adjusts the angle of the saddle 10a3. Next, the bicycle position variable unit 10e adjusts the angle of the handle 10a1. Next, the bicycle position varying unit 10e adjusts the angle A2c (see FIG. 3B).

For example, when at least one of the myoelectric potential and the heart rate of a bicycle athlete is measured in a state where the posture of the bicycle exercise apparatus body 10a is tilted by the bicycle tilt posture varying unit 10f, The bicycle inclination posture variable unit 10f inclines the posture of the bicycle exercise apparatus body 10a. As a result, the measurement condition of at least one of the user's myoelectric potential and heart rate is the same as the measurement condition of the bicycle athlete.
Further, for example, when at least one of the myoelectric potential and the heart rate of a bicycle athlete is measured in a state where the bicycle drive phase load variable unit 10g changes the pedal load according to the phase of the crank unit 10a2. At the time of measurement by the user, the bicycle drive phase load varying unit 10g changes the pedal load according to the phase of the crank unit 10a2. As a result, the measurement condition of at least one of the user's myoelectric potential and heart rate is the same as the measurement condition of the bicycle athlete.

In an example to which the muscle activity state analysis system 1 of the first embodiment is applied, when the bicycle-type exercise device 10 is indoors, the output unit 50 compares the myoelectric potential of the user with the myoelectric potential model data, And the comparison result of a user's heart rate and heart rate model data is output. The output unit 50 outputs whether the user's muscle activity state is good or bad based on the comparison result between the user's myoelectric potential and myoelectric potential model data.
When the activity state of the user's muscle measured by the myoelectric potential measurement unit 21 is poor, the output unit 50 outputs the muscle site to which the user needs to apply force by the display unit 50a or the audio output unit 50b. To do. In addition, the output unit 50 outputs the timing at which the user needs to apply force to the muscle by the audio output unit 50b. As a result, the user can learn how to use muscles correctly.
For example, the thigh includes an anterior muscle such as rectus femoris and a rear muscle such as biceps femoris. A general user tends to be unable to use the muscles on the back side well compared to a bicycle player. In an example to which the muscular activity state analysis system 1 of the first embodiment is applied, the output unit 50 outputs information indicating that it is necessary to apply force to the muscles on the rear side by the display unit 50a or the audio output unit 50b. Further, the output unit 50 outputs the timing at which force is required to be applied to the muscles on the back side by the audio output unit 50b. As a result, the user can learn how to use the rear muscles correctly.

In another example to which the muscle activity state analysis system 1 according to the first embodiment is applied, based on the comparison result between the user's myoelectric potential and myoelectric potential model data (specifically, it is measured by the myoelectric potential measuring unit 21). When the muscle activity state of the user is poor), the bicycle position variable portion 10e of the bicycle exercise apparatus 10 is at least one of the position, angle, and length of the handle 10a1, the crank portion 10a2, and the saddle 10a3. To adjust.
In this example, for example, when the user does not use the rear muscles well, first, the myoelectric potential measuring unit 21 measures the myoelectric potential of the rear muscles of the user, and the bicycle position variable unit 10e is the saddle. By adjusting the position of 10a3, the muscle activity state analysis system 1 searches for the position of the saddle 10a3 in which the activity state of the muscle on the back side of the user is good.
When the position of the saddle 10a3 in which the muscle activity on the back side of the user is good is found, the bicycle position variable unit 10e sets the saddle 10a3 at that position. As a result, the user can learn how to use the rear muscles correctly. On the other hand, when the position of the saddle 10a3 in which the muscle activity on the back side of the user is good is not found, the myoelectric potential measurement unit 21 then measures the myoelectric potential of the muscle on the back side of the user while changing the bicycle position. When the unit 10e adjusts the position of the pedal 10a2b, the muscle activity state analysis system 1 searches for the position of the pedal 10a2b in which the activity state of the muscle on the back side of the user is good.
When the position of the pedal 10a2b in which the activity state of the muscle on the rear side of the user is good is found, the bicycle position varying unit 10e sets the pedal 10a2b at that position. As a result, the user can learn how to use the rear muscles correctly. On the other hand, when the position of the pedal 10a2b in which the activity state of the muscle on the rear side of the user is good is not found, the bicycle position is changed while the myoelectric potential measuring unit 21 measures the myoelectric potential of the muscle on the rear side of the user. When the unit 10e adjusts the position of the handle 10a1, the muscle activity state analysis system 1 searches for the position of the handle 10a1 in which the muscle activity state on the back side of the user is good.

When the position of the handle 10a1 in which the activity state of the muscle on the rear side of the user is good is found, the bicycle position changing unit 10e sets the handle 10a1 at that position. As a result, the user can learn how to use the rear muscles correctly. On the other hand, if the position of the handle 10a1 with good activity of the muscles on the back side of the user is not found, the bicycle position can be changed while the myoelectric potential measuring unit 21 measures the myoelectric potential of the muscles on the back side of the user. As the unit 10e adjusts the angle of the saddle 10a3, the muscle activity state analysis system 1 searches for the angle of the saddle 10a3 in which the activity state of the muscle on the back side of the user is good.
When the angle of the saddle 10a3 in which the muscle activity on the back side of the user is good is found, the bicycle position changing unit 10e sets the saddle 10a3 to the angle. As a result, the user can learn how to use the rear muscles correctly. On the other hand, if the angle of the saddle 10a3 in which the activity state of the muscle on the rear side of the user is good is not found, the bicycle position can be changed while the myoelectric potential measuring unit 21 measures the myoelectric potential of the muscle on the rear side of the user. As the unit 10e adjusts the angle of the handle 10a1, the muscle activity state analysis system 1 searches for the angle of the handle 10a1 in which the activity state of the muscle on the back side of the user is good.
When the angle of the handle 10a1 in which the muscle activity on the rear side of the user is good is found, the bicycle position changing unit 10e sets the handle 10a1 to the angle. As a result, the user can learn how to use the rear muscles correctly. On the other hand, if the angle of the handle 10a1 in which the activity state of the muscle on the rear side of the user is good is not found, the bicycle position can be changed while the myoelectric potential measuring unit 21 measures the myoelectric potential of the muscle on the rear side of the user. The part 10e adjusts the angle A2c of the user's shoes (see FIG. 3B), so that the muscle activity state analysis system 1 makes the angle of the user's shoes with good activity state of the muscles on the back side of the user. Look for A2c.
When the user's shoe angle A2c with good activity of the muscles on the back side of the user is found, the bicycle position changing unit 10e sets the angle A2c of the user's shoe to that angle. As a result, the user can learn how to use the rear muscles correctly.

  In still another example to which the muscle activity state analysis system 1 of the first embodiment is applied, when the user's muscle activity state is poor, the myoelectric potential measurement unit 21 measures the user's myoelectric potential while cycling. In addition to the position variable portion 10e adjusting the position and angle of the handle 10a1, pedal 10a2b, and saddle 10a3, the muscle activity state analysis system 1 can be used by other users who are similar in physique, purpose of use, level, basic physical strength, etc. Browse the database. Specifically, in this example, the muscle activity state analysis system 1 refers to a method in which another user who has the same physique, purpose of use, level, basic physical strength, and the like has learned how to use the muscle correctly. Try the technique against it.

In an example to which the muscular activity state analysis system 1 of the first embodiment is applied, the output unit 50 outputs the pedaling load and cadence measured by the pedaling measurement unit 10b by the display unit 50a. Moreover, the output part 50 outputs the load concerning the handle | steering-wheel 10a1 and saddle 10a3 measured by the load measurement part 10c by the display part 50a. The output unit 50 outputs the pedaling phase output measured by the pedaling phase output measuring unit 10d by the display unit 50a.
After the user learns how to use the muscles correctly, the bicycle position variable unit 10e is in the position of at least one of the handle 10a1, the crank unit 10a2, and the saddle 10a3 in a state where the output unit 50 outputs a pedaling phase output or the like. , Change at least one of angle and length. Therefore, the user can search for the optimum position, angle, and length of the handle 10a1, the crank portion 10a2, and the saddle 10a3 where the pedaling output is high.

  In an example to which the muscular activity state analysis system 1 of the first embodiment is applied, the storage unit 30 has a pedaling measurement unit 10b, a load measurement unit 10c, and a pedaling phase output measurement unit during simulated running of the bicycle exercise apparatus 10 indoors. The measurement result according to 10d is stored. In addition, the storage unit 30 stores the positions, angles, and lengths of the handle 10a1, the crank unit 10a2, and the saddle 10a3 set by the bicycle position variable unit 10e during simulated running of the bicycle exercise apparatus 10 indoors. In addition, the storage unit 30 stores the bicycle inclination posture set by the bicycle inclination posture variable unit 10f when the bicycle-type exercise device 10 is simulated indoors. In addition, the storage unit 30 stores the bicycle driving phase load set by the bicycle driving phase load variable unit 10g during simulated running of the bicycle exercise apparatus 10 indoors. The user can use the data stored in the storage unit 30 the next time a simulated running of the bicycle exerciser 10 is performed indoors.

In an example to which the muscle activity state analysis system 1 of the first embodiment is applied, the myoelectric potential model data when the bicycle player is pedaling by sitting and the case where the bicycle player is pedaling by dancing Myoelectric potential model data is stored in the storage unit 30. When the bicycle athlete is pedaling by dancing, the myoelectric potential of the upper body is activated more than when sitting.
In this example, based on the comparison result between the myoelectric potential and myoelectric potential model data, the user performs a good or bad activity state of his / her muscle when pedaling by sitting and pedaling by dancing. Can be easily grasped.
In another example to which the muscle activity state analysis system 1 of the first embodiment is applied, the myoelectric potential model data and heart rate model data at the time of the sprint of the bicycle athlete, and the myoelectric potential model data at the time of the long athlete of the bicycle athlete. The heart rate model data, the myoelectric potential model data and the heart rate model data at the rest of the bicycle athlete are stored in the storage unit 30. Myoelectric potential at the time of sprinting for bicycle players is more active than at long spurt. The myoelectric potential during long spurt of bicycle players is more active than during rest. Moreover, the heart rate at the time of a sprint of a bicycle athlete is higher than at the time of a long spurt. Bicycle athletes have a higher heart rate during long spurts than during rest.
In this example, based on the comparison result between my EMG and EMG model data, the user can easily determine whether the activity status of his / her muscle during sprinting, long spurt, and resting is good or bad. can do. In addition, the user can easily grasp the quality of his / her cardiopulmonary function during sprinting, long spurt and rest based on the comparison result between his / her heart rate and heart rate model data. .

The muscle activity state analysis system 1 according to the first embodiment has been described above.
The muscle activity state analysis system 1 according to the first embodiment includes a bicycle exercise apparatus 10, a myoelectric potential measurement unit 21 that measures a myoelectric potential of a user of the bicycle exercise apparatus 10 during use of the bicycle exercise apparatus 10, A storage unit 30 for storing myoelectric potential model data, which is a measurement result of myoelectric potential measured under the same conditions as the user's myoelectric potential measurement conditions, and the user's myoelectric potential measured by the myoelectric potential measuring unit 21 And a comparison unit 40 that compares myoelectric potential model data stored in the storage unit 30, and an output unit 50 that outputs a comparison result by the comparison unit 40.
With this configuration, the user of the bicycle-type exercise device 10 can determine the activity state of his / her muscle based on the comparison result between his / her electromyogram and myoelectric potential model data without the advice of an expert. Good or bad can be easily grasped.

Further, the myoelectric potential model data is a measurement result of the myoelectric potential of a bicycle athlete measured under the same conditions as the user's myoelectric potential measurement conditions.
With this configuration, the user of the bicycle-type exercise device 10 can easily grasp the good / bad state of the activity state of his / her muscle while enjoying the comparison between his / her myoelectric potential and the myoelectric potential of the bicycle player. be able to. In addition, the user of the bicycle-type exercise device 10 can grasp a region where the muscular activity state is worse than that of the bicycle athlete.

The myoelectric potential measurement unit 21 measures the myoelectric potential of the user when the bicycle-type exercise device 10 is indoors.
By processing in this way, the user of the bicycle-type exercise device 10 can easily grasp whether the activity state of his / her muscle is good or bad even when the weather is bad.

The bicycle exercise apparatus 10 is configured to be capable of adjusting at least one of the position, angle, and length of the handle 10a1, the crank portion 10a2, and the saddle 10a3.
By comprising in this way, even if it is a case where the physique of the user of the bicycle-type exercise device 10 differs from the physique of the bicycle player who is the person to be measured for the myoelectric potential model data, The measurement conditions of the user's myoelectric potential and the measurement conditions of the myoelectric potential model data can be made the same.

The muscle activity state analysis system 1 according to the first embodiment further includes a heart rate measuring unit 22 that measures a user's heart rate during use of the bicycle exercise apparatus 10, and the storage unit 30 includes the user's heart rate. The heart rate model data which is the measurement result of the heart rate measured under the same condition as the number measurement condition is stored, and the comparison unit 40 stores the heart rate of the user measured by the heart rate measurement unit 22 and The heart rate model data stored in the unit 30 is compared, and the output unit 50 outputs a comparison result between the heart rate of the user and the heart rate model data by the comparison unit 40.
With this configuration, the user of the bicycle exercise apparatus 10 can easily perform his / her cardiopulmonary function based on the comparison result between his / her heart rate and the heart rate model data without the advice of an expert. I can grasp it.

[Second Embodiment]
Hereinafter, the muscle activity state analysis system 1 according to the second embodiment will be described.
The muscle activity state analysis system 1 of the second embodiment is configured in the same manner as the muscle activity state analysis system 1 of the first embodiment described above, except for the points described below. Therefore, according to the muscular activity state analysis system 1 of the second embodiment, the same effects as those of the muscular activity state analysis system 1 of the first embodiment described above can be obtained except for the points described below.

As described above, in the muscle activity state analysis system 1 of the first embodiment, the myoelectric potential model data compared with the user's myoelectric potential in step S2 of FIG. 4 is the same as the user's myoelectric potential measurement conditions. It is a measurement result of myoelectric potential of a bicycle athlete measured under conditions. Also, the heart rate model data compared with the user's heart rate in step S2 of FIG. 4 is the measurement result of the heart rate of the cyclist measured under the same conditions as the user's heart rate measurement conditions. is there.
On the other hand, in the muscle activity state analysis system 1 of the second embodiment, the myoelectric potential model data compared with the user's myoelectric potential in step S2 in FIG. 4 is the same as the user's myoelectric potential measurement condition. It is a measurement result of a user's own myoelectric potential measured more than one day ago. In addition, the heart rate model data to be compared with the user's heart rate in step S2 of FIG. 4 is the user's own heart rate measured at least one day ago under the same conditions as the user's heart rate measurement conditions. It is a measurement result of the number.
That is, in the muscle activity state analysis system 1 of the second embodiment, the myoelectric potential model data that is the measurement result of the user's own myoelectric potential measured at least one day ago and the user measured at least one day ago. Heart rate model data, which is a measurement result of the own heart rate, is stored in the storage unit 30.

Further, in the muscle activity state analysis system 1 of the second embodiment, the measurement condition of at least one of the current user's myoelectric potential and heart rate is the same as the measurement condition of the user himself one day or more ago. Thus, at least one of the position, the angle, and the length of the handle 10a1, the crank portion 10a2, and the saddle 10a3 of the bicycle exercise apparatus body 10a is adjusted when measuring at least one of the myoelectric potential and the heart rate of the user. Is done.
Specifically, when measuring at least one of the user's myoelectric potential and heart rate, for example, when data indicating the user's physique is input to the muscle activity state analysis system 1, the bicycle position variable unit 10e So that the measurement conditions of at least one of myoelectric potential and heart rate of the user are the same as the measurement conditions of the user himself one day or more ago, The position, angle, and / or length of at least one of 10a2 and saddle 10a3 are adjusted.
Alternatively, when measuring at least one of the user's myoelectric potential and heart rate, for example, according to guidance by the muscle activity state analysis system 1, at least one of the measurement conditions of the current user's myoelectric potential and heart rate, The user sets at least one of the positions, angles, and lengths of the handle 10a1, the crank portion 10a2, and the saddle 10a3 of the bicycle-type exercise device main body 10a so that the measurement conditions of the user himself / herself one day or more are the same. You may adjust.

For example, when at least one of the myoelectric potential and the heart rate of the user himself / herself more than one day ago is measured in a state where the posture of the bicycle exercise device body 10a is tilted by the bicycle tilt posture varying unit 10f, At the time of measurement by the user, the bicycle tilt posture varying unit 10f tilts the posture of the bicycle exercise equipment body 10a. As a result, the measurement conditions of at least one of myoelectric potential and heart rate of the user this time are the same as the measurement conditions of the user himself one day or more ago.
Further, for example, at least one of the myoelectric potential and the heart rate of the user himself / herself one day or more in the state where the bicycle driving phase load variable unit 10g changes the pedal load according to the phase of the crank unit 10a2. When measured, the bicycle driving phase load variable unit 10g changes the pedal load according to the phase of the crank unit 10a2 at the time of measurement by the user. As a result, the measurement conditions of at least one of myoelectric potential and heart rate of the user this time are the same as the measurement conditions of the user himself one day or more ago.

As described above, in the muscle activity state analysis system 1 according to the second embodiment, the myoelectric potential model data of the user himself / herself measured more than one day ago under the same conditions as the user's myoelectric potential measurement conditions. It is a measurement result of myoelectric potential.
With this configuration, the user of the bicycle exerciser 10 can easily change the activity state of his / her muscle over time based on the comparison result between his / her current myoelectric potential and his / her past myoelectric potential. I can grasp it. Thereby, the user of the bicycle exercise apparatus 10 can grasp his current health condition.

[Third Embodiment]
Hereinafter, the muscle activity state analysis system 1 according to the third embodiment will be described.
The muscle activity state analysis system 1 of the third embodiment is configured in the same manner as the muscle activity state analysis system 1 of the first embodiment described above, except for the points described below. Therefore, according to the muscular activity state analysis system 1 of the third embodiment, the same effects as those of the muscular activity state analysis system 1 of the first embodiment described above can be obtained except for the points described below.

FIG. 5A is a side view of the bicycle exercise apparatus main body 10a of the bicycle exercise apparatus 10 of the muscle activity state analysis system 1 of the third embodiment. FIG. 5B is a view of the right foot pedal 10a2b of the bicycle exercise apparatus body 10a of the bicycle exercise apparatus 10 of the muscle activity state analysis system 1 of the third embodiment as viewed from the upper side of FIG. 5A. .
In the muscle activity state analysis system 1 of the first embodiment, as shown in FIG. 3 (A), the bicycle-type exercise device body 10a is configured for simulated running indoors.
On the other hand, in the muscle activity state analysis system 1 of the third embodiment, as shown in FIG. 5 (A), the bicycle-type exercise device body 10a is configured for actual running outdoors. The bicycle exercise apparatus body 10a includes a handle 10a1, a crank portion 10a2, and a saddle 10a3. The crank portion 10a2 includes a crank 10a2a and a pedal 10a2b.
In the example shown in FIG. 5A, the front-rear direction position of the handle 10a1 is the front-rear direction (the left-right direction of FIG. ) Is adjustable. The vertical position of the handle 10a1 is configured to be adjustable in the vertical direction (the vertical direction in FIG. 5A) of the bicycle-type exercise device body 10a, as indicated by a bidirectional arrow A1b. The angle of the handle 10a1 is configured to be rotatable about a rotation center axis 10a1L of the handle 10a1 parallel to the Z axis, as indicated by a bidirectional arrow A1c.
In the example shown in FIG. 5 (A), the position of the saddle 10a3 in the front-rear direction is configured to be adjustable in the front-rear direction of the bicycle exerciser body 10a as indicated by a bidirectional arrow A3a parallel to the X axis. Yes. The vertical position of the saddle 10a3 is configured to be adjustable in the vertical direction of the bicycle-type exercise device main body 10a, as indicated by a bidirectional arrow A3b. The angle of the saddle 10a3 is configured to be rotatable about a rotation center axis 10a3L of the saddle 10a3 parallel to the Z axis, as indicated by a bidirectional arrow A3c.

In the example shown in FIG. 5A, the crank 10a2a of the crank portion 10a2 is configured to be replaceable. As a result, the length L2a of the crank portion 10a2 can be adjusted.
In the example shown in FIGS. 5A and 5B, the user's shoes are fixed to the pedal 10a2b through the binding. As a result, when the user manually adjusts the binding, the front-rear direction position of the pedal 10a2b of the crank portion 10a2 (specifically, the front-rear direction position of the user's shoes) is a two-way arrow A2a parallel to the X axis. As shown in the figure, it can be adjusted in the front-rear direction of the bicycle exerciser body 10a. Further, when the user manually adjusts the binding, the lateral position of the pedal 10a2b (specifically, the lateral position of the user's shoes) is indicated by a bidirectional arrow A2b parallel to the Z axis. It can be adjusted in the left-right direction of the bicycle exerciser body 10a. Further, when the user manually adjusts the binding, the angle A2c formed by the front / rear direction D10a2b of the pedal 10a2b and the heel-toe direction DS of the user's shoes can be adjusted.
In the example shown in FIG. 5B, the angle A2c is adjusted such that the toes of the user are directed outward from the front-rear direction D10a2b of the pedal 10a2b. In another example, the angle A2c can be adjusted such that the toes of the user are directed inward from the front-rear direction D10a2b of the pedal 10a2b.
In the example shown in FIGS. 5A and 5B, the pedal 10a2b can rotate with respect to the crank 10a2a around the rotation center axis 10a2bL.

Similar to the muscle activity state analysis system 1 of the first embodiment, the muscle activity state analysis system 1 of the third embodiment is a bicycle exercise device 10, a myoelectric potential measurement unit 21, a storage unit 30, and a comparison unit 40. And an output unit 50.
In an example to which the muscle activity state analysis system 1 of the third embodiment is applied, the myoelectric potential measuring unit 21 and the output unit 50 are mounted on a bicycle-type exercise apparatus main body 10a for actual outdoor travel. In detail, the myoelectric potential sensor which comprises a part of myoelectric potential measurement part 21 is attached to the user's muscle of the bicycle type exercise apparatus main body 10a. Moreover, the output part 50 is provided in the terminal carried by the user or the terminal mounted in the bicycle type exercise apparatus main body 10a. The storage unit 30 and the comparison unit 40 are provided in, for example, a data server. Wireless communication is used for data transmission / reception between the myoelectric potential measurement unit 21 and the output unit 50, the storage unit 30 and the comparison unit 40 mounted on the bicycle exercise apparatus body 10a.
In another example, the comparison unit 40 may be mounted on the bicycle exercise equipment body 10a.

In an example to which the muscle activity state analysis system 1 of the third embodiment is applied, the muscle activity state analysis system 1 further includes a heart rate measuring unit 22. The heart rate measuring unit 22 is mounted on the bicycle exercise equipment body 10a.
In another example, the muscle activity state analysis system 1 may not include the heart rate measurement unit 22.

  In an example to which the muscle activity state analysis system 1 of the third embodiment is applied, the bicycle-type exercise device 10 includes a bicycle-type exercise device body 10a, a pedaling measurement unit 10b, a load measurement unit 10c, and a pedaling phase output measurement unit. 10d.

In an example to which the muscle activity state analysis system 1 of the third embodiment is applied, the pedaling measurement unit 10b includes a load sensor and a rotation speed sensor. The pedaling measuring unit 10b is mounted on the bicycle exercise equipment body 10a.
In another example, the bicycle exercise apparatus 10 may not include the pedaling measurement unit 10b.

In an example to which the muscle activity state analysis system 1 of the third embodiment is applied, the load measuring unit 10c includes a load sensor for the handle 10a1 and a load sensor for the saddle 10a3. The load measuring unit 10c is mounted on the bicycle exercise equipment body 10a.
In another example, the bicycle exercise apparatus 10 may not include the load measuring unit 10c.

In an example to which the muscle activity state analysis system 1 of the third embodiment is applied, the pedaling phase output measurement unit 10d includes an angle sensor that detects the angle of the crank unit 10a2. The pedaling phase output measuring unit 10d is mounted on the bicycle exercise equipment body 10a.
In another example, the bicycle exercise apparatus 10 may not include the pedaling phase output measurement unit 10d.

The muscle activity state analysis system 1 of the third embodiment starts the processing shown in FIG. 4 when the bicycle-type exercise device 10 is actually running outdoors.
In the example shown in FIG. 4 to which the muscle activity state analysis system 1 of the third embodiment is applied, in step S1, the myoelectric potential measurement unit 21 performs the myoelectric potential of the user during actual running of the bicycle-type exercise device 10 outdoors. Measure. The heart rate measuring unit 22 measures the user's heart rate. Data indicating the user's myoelectric potential measured by the myoelectric potential measurement unit 21 and data indicating the user's heart rate measured by the heart rate measurement unit 22 are transmitted to the comparison unit 40 via wireless communication. The
In another example, in step S1, the heart rate measurement unit 22 may not measure the heart rate.

In the example shown in FIG. 4 to which the muscle activity state analysis system 1 of the third embodiment is applied, in step S2, the comparison unit 40 then stores the user's myoelectric potential measured in step S1 and the storage unit 30. The stored EMG model data is compared. The comparison unit 40 also compares the user's heart rate with the heart rate model data stored in the storage unit 30. Data indicating the comparison result of the myoelectric potential and the comparison result of the heart rate in the comparison unit 40 is transmitted to the output unit 50 through wireless communication.
In another example, in step S2, the comparison unit 40 may not compare the user's heart rate with the heart rate model data.

In the example shown in FIG. 4 to which the muscle activity state analysis system 1 of the third embodiment is applied, in step S3, the output unit 50 outputs a comparison result between the user's myoelectric potential and myoelectric potential model data. . The output unit 50 outputs a comparison result between the user's heart rate and heart rate model data. That is, the user of the muscle activity state analysis system 1 performs the actual running of the bicycle-type exercise device body 10a outdoors, and compares the result of comparison between the user's myoelectric potential and myoelectric potential model data, and the user's heart rate. And the comparison result of the heart rate model data can be confirmed.
In another example, in step S3, the output unit 50 may not output a comparison result between the user's heart rate and the heart rate model data.

  In an example to which the muscle activity state analysis system 1 of the third embodiment is applied, in the same manner as in the example to which the muscle activity state analysis system 1 of the first embodiment is applied, it is compared with the myoelectric potential of the user in step S2. The myoelectric potential model data is a measurement result of the myoelectric potential of a bicycle athlete measured under the same conditions as the user's myoelectric potential measurement conditions. Further, the heart rate model data to be compared with the user's heart rate in step S2 is a measurement result of the bicycle athlete's heart rate measured under the same conditions as the user's heart rate measurement condition.

  In an example to which the muscle activity state analysis system 1 of the third embodiment is applied, when measuring at least one of the user's myoelectric potential and heart rate, the user outputs the output unit of the muscle activity state analysis system 1. 50, the handle 10a1, the crank portion 10a2, and the crank portion 10a2 of the bicycle-type exercise apparatus main body 10a are set so that the measurement conditions of at least one of the user's myoelectric potential and heart rate and the measurement conditions of the bicycle athlete are the same. The position, angle and / or length of the saddle 10a3 is adjusted.

In an example to which the muscle activity state analysis system 1 according to the third embodiment is applied, when the bicycle-type exercise device 10 is actually running outdoors, the output unit 50 compares the myoelectric potential of the user with the myoelectric potential model data, And the comparison result of a user's heart rate and heart rate model data is output. The output unit 50 outputs whether the user's muscle activity state is good or bad based on the comparison result between the user's myoelectric potential and myoelectric potential model data.
In an example to which the muscle activity state analysis system 1 according to the third embodiment is applied, when the muscle muscle activity state of the user measured by the myoelectric potential measurement unit 21 is bad, the output unit 50 includes the bicycle exercise device 10. The audio output unit 50b outputs a muscle part that the user needs to apply so as not to hinder the actual running. Similarly, the output unit 50 outputs the timing at which the user needs to apply force to the muscle by the audio output unit 50b.

In an example to which the muscle activity state analysis system 1 of the third embodiment is applied, the output from the audio output unit 50b of the output unit 50 is the output of the first embodiment so as not to hinder the actual running of the bicycle exercise apparatus 10. It is suppressed more than the example to which the muscular activity state analysis system 1 is applied.
Specifically, in an example to which the muscle activity state analysis system 1 of the third embodiment is applied, the user displays the pedaling load and cadence during actual traveling after the actual traveling of the bicycle exercise apparatus 10 is completed. It can be confirmed by 50a or the like. That is, during the actual running of the bicycle exerciser 10, the storage unit 30 stores the pedaling load and cadence measured by the pedaling measuring unit 10b. Next, after the bicycle exercise apparatus 10 is actually running, the display unit 50a displays the pedaling load and cadence during the actual running in response to a user request.
Further, in an example to which the muscle activity state analysis system 1 of the third embodiment is applied, the display unit 50a is configured to display the actual performance of the bicycle exercise apparatus 10 according to the user's request after the bicycle exercise apparatus 10 has actually traveled. The load applied to the handle 10a1 and the saddle 10a3 measured by the load measuring unit 10c during traveling is displayed. Further, the display unit 50a displays the pedaling phase output measured by the pedaling phase output measuring unit 10d during the actual running of the bicycle-type exercise device 10 according to the user's request after the bicycle-type exercise device 10 is actually running. To do.
That is, in an example to which the muscular activity state analysis system 1 of the third embodiment is applied, the storage unit 30 has a pedaling measurement unit 10b, a load measurement unit 10c, and a pedaling phase output during actual running of the bicycle-type exercise device 10 outdoors. The measurement result by the measurement unit 10d is stored.

As described above, in the muscle activity state analysis system 1 of the third embodiment, the myoelectric potential measurement unit 21 measures the myoelectric potential of the user when the bicycle-type exercise device 10 is running outdoors.
By processing in this way, the user of the bicycle exercise apparatus 10 can easily grasp whether the activity state of his / her muscle is good or not while enjoying the actual running of the bicycle exercise apparatus 10 outdoors.

[Fourth Embodiment]
Hereinafter, the muscle activity state analysis system 1 according to the fourth embodiment will be described.
The muscle activity state analysis system 1 of the fourth embodiment is configured in the same manner as the muscle activity state analysis system 1 of the third embodiment described above, except for the points described below. Therefore, according to the muscle activity state analysis system 1 of the fourth embodiment, the same effects as those of the muscle activity state analysis system 1 of the third embodiment described above can be obtained except for the points described below.

As described above, in the muscle activity state analysis system 1 of the third embodiment, the myoelectric potential model data to be compared with the user's myoelectric potential in step S2 of FIG. 4 is the same as the user's myoelectric potential measurement conditions. It is a measurement result of myoelectric potential of a bicycle athlete measured under conditions. Also, the heart rate model data compared with the user's heart rate in step S2 of FIG. 4 is the measurement result of the heart rate of the cyclist measured under the same conditions as the user's heart rate measurement conditions. is there.
On the other hand, in the muscle activity state analysis system 1 of the fourth embodiment, the myoelectric potential model data to be compared with the user's myoelectric potential in step S2 in FIG. 4 is under the same conditions as the user's myoelectric potential measurement conditions. It is a measurement result of a user's own myoelectric potential measured more than one day ago. In addition, the heart rate model data to be compared with the user's heart rate in step S2 of FIG. 4 is the user's own heart rate measured at least one day ago under the same conditions as the user's heart rate measurement conditions. It is a measurement result of the number.
That is, in the muscle activity state analysis system 1 of the fourth embodiment, the myoelectric potential model data that is the measurement result of the user's own myoelectric potential measured at least one day ago and the user measured at least one day ago. Heart rate model data, which is a measurement result of the own heart rate, is stored in the storage unit 30.

In an example to which the muscle activity state analysis system 1 of the fourth embodiment is applied, the measurement conditions of at least one of the current user's myoelectric potential and heart rate, and the user's own measurement conditions more than one day ago So that the user can handle the handle of the bicycle-type exercise device body 10a according to the guidance by the output unit 50 of the muscle activity state analysis system 1 when measuring at least one of the myoelectric potential and the heart rate of the user. The position, angle, and length of 10a1, crank portion 10a2, and saddle 10a3 are adjusted.
Specifically, in an example to which the muscle activity state analysis system 1 of the fourth embodiment is applied, at least one of the user's myoelectric potential and heart rate is measured, for example, data indicating the user's physique is muscle activity. When input to the state analysis system 1, the output unit 50 of the muscle activity state analysis system 1 provides the user with the positions, angles, and lengths of the handle 10a1, the crank portion 10a2, and the saddle 10a3 of the bicycle exercise apparatus body 10a. A guide for adjusting at least one of the above is output. For this reason, the user must make sure that the measurement conditions of at least one of the user's myoelectric potential and heart rate this time are the same as the measurement conditions of the user himself one day or more ago. The position, angle and length of the handle 10a1, the crank portion 10a2 and the saddle 10a3 of 10a can be adjusted.

  A program for realizing all or part of the functions of the muscle activity state analysis system 1 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into the computer system and executed. The processing of each unit may be performed as necessary. Here, the “computer system” includes an OS and hardware such as peripheral devices. Further, the “computer system” includes a homepage providing environment (or display environment) if a WWW system is used.

  The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. Furthermore, the “computer-readable recording medium” dynamically holds a program for a short time like a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line. In this case, a volatile memory in a computer system serving as a server or a client in that case, and a program that holds a program for a certain period of time are also included. The program may be a program for realizing a part of the functions described above, and may be a program capable of realizing the functions described above in combination with a program already recorded in a computer system.

  In addition, the constituent elements in the above-described embodiment can be appropriately replaced with known constituent elements without departing from the gist of the present invention, and the above-described embodiments and modifications may be appropriately combined.

  DESCRIPTION OF SYMBOLS 1 ... Muscle activity state analysis system, 10 ... Bicycle-type exercise equipment, 10a ... Bicycle-type exercise equipment main body, 10a1 ... Handle, 10a1L ... Rotation center axis, 10a2 ... Crank part, 10a2L ... Crank rotation center, 10a2a ... Crank, 10a2b ... Pedal, 10a3 ... saddle, 10b ... pedaling measurement unit, 10c ... load measurement unit, 10d ... pedaling phase output measurement unit, 10e ... bicycle position variable unit, 10f ... bicycle tilt posture variable unit, 10g ... bicycle drive phase load variable unit , 21 ... Myoelectric potential measurement unit, 22 ... Heart rate measurement unit, 30 ... Storage unit, 40 ... Comparison unit, 50 ... Output unit, 50a ... Display unit, 50b ... Audio output unit

Claims (10)

Bicycle-type exercise equipment,
A myoelectric potential measuring unit for measuring a myoelectric potential of a user of the bicycle exercise apparatus during use of the bicycle exercise apparatus;
A storage unit for storing myoelectric potential model data which is a measurement result of myoelectric potential measured under the same conditions as the user's myoelectric potential measurement conditions;
A comparison unit that compares the myoelectric potential of the user measured by the myoelectric potential measurement unit with the myoelectric potential model data stored in the storage unit;
An muscular activity state analysis system comprising: an output unit that outputs a comparison result by the comparison unit.   The muscle activity state analysis system according to claim 1, wherein the myoelectric potential model data is a measurement result of a myoelectric potential of a bicycle athlete measured under the same conditions as the user's myoelectric potential measurement conditions.   The muscle according to claim 1, wherein the myoelectric potential model data is a measurement result of the user's own myoelectric potential measured at least one day ago under the same conditions as the user's myoelectric potential measurement conditions. Activity state analysis system.   The muscle activity state analysis system according to any one of claims 1 to 3, wherein the myoelectric potential measurement unit measures the myoelectric potential of the user during simulated running of the bicycle exercise apparatus indoors.   The muscle activity state analysis system according to any one of claims 1 to 3, wherein the myoelectric potential measurement unit measures myoelectric potential of the user when the bicycle-type exercise device is actually running outdoors.   The bicycle exercise apparatus according to any one of claims 1 to 5, wherein at least one of a position, an angle, and a length of a handle, a crank portion, and a saddle is adjustable. The muscle activity state analysis system described.   The muscle activity according to claim 6, wherein the bicycle exercise apparatus adjusts at least one of a position, an angle, and a length of the handle, the crank portion, and the saddle based on the comparison result. State analysis system. A heart rate measuring unit for measuring the heart rate of the user during use of the bicycle exercise apparatus;
The storage unit stores heart rate model data that is a measurement result of a heart rate measured under the same conditions as the user's heart rate measurement conditions,
The comparison unit compares the heart rate of the user measured by the heart rate measurement unit with the heart rate model data stored in the storage unit,
The muscle activity state analysis system according to any one of claims 1 to 7, wherein the output unit outputs a comparison result between the heart rate of the user and the heart rate model data by the comparison unit. Muscle activity state analysis system
A first step of measuring a myoelectric potential of a user of the bicycle exercise apparatus during use of the bicycle exercise apparatus;
A second step of comparing the myoelectric potential of the user measured in the first step with myoelectric potential model data measured and stored under the same conditions as the measurement conditions of the user's myoelectric potential; ,
A third step of outputting a comparison result in the second step;
A method for analyzing the state of muscle activity including On the computer,
A first step of measuring a myoelectric potential of a user of the bicycle exercise apparatus during use of the bicycle exercise apparatus;
A second step of comparing the myoelectric potential of the user measured in the first step with myoelectric potential model data measured and stored under the same conditions as the measurement conditions of the user's myoelectric potential; ,
A third step of outputting a comparison result in the second step;
A program for running

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