JP2873592B2 - Athletic ability measurement evaluation training device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION INDUSTRIAL APPLICATION The present invention relates to a subject (including a general person, hereinafter referred to as a patient).
The present invention relates to a muscular strength measurement evaluation training device for measuring, evaluating, and training exercise performance and function of lower limbs.

2. Description of the Related Art As a conventional technique, there is Japanese Patent Publication No. 57-30509.
This publication discloses a mechanism of an input shaft for applying a muscle force to rotate, a torque detecting unit for detecting a muscle force, a mechanism for controlling the rotation of the input shaft to a predetermined speed pattern, and driving the input shaft by decelerating with a motor. A mechanism, a mechanism for displaying a load torque on an input shaft, and the like are disclosed.

Problems to be Solved by the Invention The muscle strength measurement training apparatus mentioned as the conventional technique does not have a clear standard that objectively expresses the relationship between motor function and muscle strength. Conventionally, measurement and evaluation obtained by means of muscle strength measurement and evaluation
The specific degree of motor dysfunction could not be determined from the evaluation values. For example, there are surprisingly many patients who complain of anxiety about going up and down stairs while their quadriceps muscle strength is MMT (= manual muscle strength measurement method) 5 or more. Therefore, a device that can measure and evaluate the degree of motor dysfunction is desired.

Conventionally, the isometric method (muscle strength measurement performed in an isometric state) has been used for measuring and evaluating muscle strength. However, this method causes excessive muscle contraction, which may cause a patient to injure a muscle or tendon. There is a demand for a safe muscular strength measurement / evaluation device that does not have to worry about damaging muscles and tendons.

Means for Solving the Problems Under such circumstances, isometric voluntary maximum muscle strength [hereinafter referred to as MVC (Maximum Voluntary Contraction)]
Is measured, and a muscle strength per body weight, that is, a weight-bearing index (hereinafter, referred to as WBI (Weight-Bearing Index)) is calculated from the MVC, and the exercise value is evaluated using the calculated value, that is, WBI. be able to.

In order to teach on-site rehabilitation and strength training, evaluation of lower limb function and strength is indispensable.
However, there is no clear standard that objectively expresses the relationship between the motor function of the lower limbs and muscle output, and the evaluation method is often impractical.

All human activities are antigravity. In this regard, focusing on the function of the quadriceps muscle from the importance of weight bearing capacity in sports activities, measuring the MVC of the extensor muscles of the knee joint, using the muscle strength per body weight as WBI and applying it to muscle function evaluation Have been trying.

Next, we describe the effectiveness of WBI in the motor function of the lower limbs obtained from the results of many cases and the practice of evaluation.

For recreational sports, the standard value for WBI is 0.8, not limited to men and women. Walking, jogging,
The motor function of the lower limb, which is a jump, can be distinguished from the viewpoint of supporting the weight of the lower limb during exercise. To walk with normal rhythm, you cannot walk normally unless WBI is 0.4 or more.

WBI of 0.6 or more is required to carry out daily life without any trouble. 0.9 is the minimum requirement for intense exercise such as jumps and dashes without worry. In addition, 1.3 or more is required to prevent sports disorders. When the WBI falls below the respective WBI required for lower limb movement, the movement or movement may indicate dysfunction or clinical symptoms.

This evaluation of lower limb function is applied to the exercise menu of quadriceps muscle. Some of them are 0.4> WBI. Ashikoshini Iriomochi Ishinochiryoiga Hitsuyoudesu.

. Imanokinryokudeha Arkemasen. Matsuba Edelism Mamotte Arkkoto.

0.4 ≦ WBI <0.5. Ashikoshinoyosaga Training Gahitsuyoudes.

. Jirikide Arkemasuga Mada Hashitte Haikemasen.

0.5 ≦ WBI <0.6. Tachiswariya Kaidan @ Oridowsanifuangademas.

. Gitensia Machine Training ヲ Yarkoto.
Madahashitte Haikemasen.

Also, when calculating the WBI, if the MVC measured in the previous stage is performed in the isometric state (= maximum effort) of the conventional means, there is a concern that the muscles and tendons may be damaged, but while performing the submaximal exercise (= According to the measuring means, there is no fear of damaging muscles and tendons.

The present invention has been made in view of the problems of the prior art,
It is an object of the present invention to provide a muscle strength measurement and evaluation training device that can measure MVC without damaging muscles and tendons, can accurately evaluate lower limb function, and can efficiently perform recovery training of lower limb function.

That is, the present invention provides an arm 11 that rotates around a rotation shaft 10,
A muscle force detecting unit 9 for detecting a force applied to an appropriate position on the arm 11, and an angle detecting unit 14 for detecting a turning angle of the turning shaft 10.
A resistor 13 for giving resistance to the rotation of the rotating shaft 10, a weight input unit 37 for inputting a weight, and a muscular strength from the muscular strength detecting unit 9 and an angle from the angle detecting unit 14 and a weight input unit 37. And a microprocessing unit 22 [hereinafter referred to as MPU (MPU)
icro Processing Unite 22) and a display unit 33 for displaying the measurement status and results and the training status and results, and the MPU 22 displays the measurement / evaluation of the athletic ability based on the measurement results; It is an exercise ability measurement evaluation training device that sets an optimal muscle training menu.

Action The patient's lower tendon is mounted on the mounting device 5 slidably fixed to the end of the arm 11, and a force is applied to the mounting device 5 to apply the arm.
Move 11

The patient sitting on the chair 4 applies, via the arm 11, a rotating power to the rotating shaft 10 protruding from the detection and resistance setting unit 12.
At this time, the muscle strength detection unit 9 provided at the base of the attachment 5
To detect muscle strength.

 The rotation angle of the rotation shaft 10 is detected by the angle detection unit 14.

The operator sets the appropriate resistance load value on the keyboard switch 32.
And input to the MPU 22 for performing various calculations such as WBI calculation.

Upon receiving a signal from the keyboard switch 32, the MPU 22 provides a signal to the resistor 13, and the resistor 13 provides resistance to the rotation of the rotation shaft 10.

The muscular strength detected by the muscular strength detecting unit 9, the weight input by the weight input unit 37, the angular velocity calculated from the angle detected by the angle detecting unit 14, and the angular velocity of the rotating shaft 10 already input to the memory for each angular velocity The MPU 22 calculates MVC and WBI based on the coefficients.

The calculated MVC and WBI are displayed on the display unit 33, and when the measurement is completed, the values of MVC and WBI are printed by the printer 28, and a simple message is commented from the obtained WBI as a physical strength evaluation and training notice. And this comment is the printer
Printed at 28.

After the measurement of WBI is completed, when the function recovery training is started, an optimal training menu for the function recovery training of this patient is automatically set. That is, a training menu for the resistance load applied to the rotating shaft 10 by the MPU 22 and the number of reciprocating rotations is set.

The patient performs efficient training according to the set training menu of the present apparatus.

The present invention will be described in detail with reference to the accompanying drawings.

First, the outline of the present invention is that a seat 2 is provided on a frame 1, and a backrest 3 is provided upright on a rear end of the seat 2, and a patient mounting chair 4 is supported by a base 7. A detection and resistance setting unit 12 for detecting the muscle strength of the patient's lower limb, detecting the angle of the rotation axis 10 and adding resistance to the movement of the lower limb during training of the patient's lower limb.
And a calculation display unit 34 for calculating and displaying muscle strength.

 Next, the above configuration will be described in detail.

A weight input unit 37 such as a strain gauge is provided between the seat 2 of the chair 4 and the frame 1. The output of the weight input unit 37 is input to the MPU 22 which takes in various data and calculates. The above-mentioned weight input is performed by using a keyboard switch 32 of the previously measured weight.
May be input.

The detection and resistance setting unit 12 is provided at the upper end of a telescopic support column 8 erected on the base 7 on the side of the chair 4.

Detection and resistance setting unit 12 for detecting muscle strength and applying resistance
A pivot 10 is horizontally provided on the side of the detection and resistance setting unit 12 facing the chair 4. A pivot 10 is provided in the horizontal direction, and an arm 11 is detachably attached to the tip of the pivot 10. A mounting tool 5 is attached to an appropriate position so as to be freely slidably fixed. A muscle force detecting unit 9 is provided at a mounting base of the mounting tool 5, and a proximal end of the rotating shaft 10 resists rotation of the rotating shaft 10. A resistor 13 is provided at an appropriate position of the rotating shaft 10.
An angle detection unit 14 for detecting the rotation angle of 10 is provided and configured.

The muscular strength detection unit 9 includes a load cell 15 that detects a force applied to the wearing equipment 5, a sensor amplifier 16 that amplifies a signal generated in the load cell 15, and an A / D converter 17 that converts an amplified analog signal into a digital signal. The output signal is input to MPU22.

The muscle strength signal input to the MPU 22 is converted into an MVC by dividing by a corresponding coefficient described later.

The angle detection unit 14 includes a potentiometer 19 that detects a rotation angle of the rotation shaft 10, an angle sensor amplifier 20 that amplifies a signal of the potentiometer 19, and an angle sensor amplifier 20.
And an angle A / D converter 21 for converting an analog signal output from the A / D converter into a digital signal. The output signal of the angle A / D converter 21 is input to the MPU 22.

The angle signal input to the MPU 22 is converted into an angle (= direction) change per unit time, that is, an angular velocity.

The resistor 13 receives a command signal from the MPU 22 and provides resistance to the rotation of the rotation shaft 10. Although a specific example of the resistor 13 is not shown, it includes a cylinder, a fluid path restricting mechanism, a crank arm, and the like. As another specific example, a powder brake may be used.

In the measurement, an appropriate resistance load is applied to the rotation of the lower limb.The output of the keyboard switch 32 which specifies and drives the resistance load is input to the interface 31 connected to the keyboard switch 32, and the output of the interface 31 is set to MP.
Put in U22.

 Next, the configuration of the MPU 22 that performs a predetermined operation will be described.

The MPU 22 has a data MPU 18 that mainly captures data.
At the input / output end of the data MPU 18, a first serial communication circuit 23, an isolation circuit 24 such as a photocoupler, and a second serial communication circuit 25 as another serial communication circuit are sequentially connected in series. The input and output of the second serial communication circuit 25 calculate data and
It is connected to the input / output terminal of the calculation MPU 26 for calculating WBI.

 Next, the configuration of peripheral devices of the MPU 22 will be described.

The first output signal of the MPU 22 is applied to a printer 28 that prints a calculation result via a Centronics control circuit 27 including a buffer device and a device for transmitting and receiving an operation message.

The second of the output signals of the MPU 22 is provided to the display 30 on the screen with the output result of the MPU 22 via the display control circuit 29 that stores the data created for the screen and outputs the signal in synchronization with the scanning line. .

The third output signal of the MPU 22 is provided to the resistor 13.

In FIG. 2, reference numeral 35 denotes a handle attached to the frame 1;
Is a fixing band for fixing the patient's thigh to the seat 2.

Next, the operation of the embodiment of the present invention when measuring, evaluating, and training the muscle strength will be described.

The patient sits on the seat 2 of the chair 4, abuts the lower leg on the mounting device 5 positioned in front of the lower leg of the patient, and is fixed to the mounting device 5 by the lower leg mounting band 6.

The patient extends and bends the knee joint to apply a force to the wearing device 5. When the knee joint is extended, the quadriceps muscle works, and the muscular strength of the quadriceps muscle acts on the wearing equipment 5.

Drive an appropriate resistance load with the keyboard switch 32,
The output of this keyboard switch 32 is used as the interface 31
To the MPU 22 via the.

The force applied to the attachment 5 is detected by the load cell 15 as a muscle force, and the rotation angle of the rotation shaft 10 is detected by a potentiometer 19.

The signal detected by the load cell 15 is amplified by the sensor amplifier 16, the analog signal is converted into a digital signal by the A / D converter 17, and the digital signal is input to the MPU 22.

The signal detected by the potentiometer 19 is amplified by the angle sensor amplifier 20, the analog signal is converted to a digital signal by the angle A / D converter 21, and the digital signal is input to the MPU 22.

The MPU 18 for data and the MPU 26 for operation existing in the MPU 22 are:
Signals are exchanged via the first serial communication circuit 23, the isolation circuit 24, and the second serial communication circuit 25 of the interface 31.

The data MPU 18 is provided in the detection and resistance setting unit 12 by approaching various sensor members and the resistor 13 so as to have a function of taking in signals from various sensors, and the calculation MPU 26 is provided in the calculation display unit 34 to store data. In addition, a function of performing various calculations and issuing a calculation result is provided to improve the reliability of data transfer between the detection and resistance setting unit 12 and the calculation display unit 34.

The first signal output from the MPU 22 reaches a printer 28 via a centronics control circuit 27 having an interface function, and the printer 28 prints the values of MVC and WBI.

The second signal output from the MPU 22 passes through a display control circuit 29 having an interface function to reach a display 30. The display 30 displays the MVC in units of "Kg", and the WBI
Is displayed as an anonymous number.

The third signal output from the MPU 22 controls the resistor 13 to control the magnitude of the resistance applied to the rotation of the rotation shaft 10.

Note that, in order to calculate the MVC of the maximum muscular strength in the moving state, the coefficient of the angular velocity is stored in the MPU 22 in advance.
The coefficients for each angular velocity are extremely reliable coefficients statistically created based on many experimental data. Some of the coefficients calculated from the relationship between MVC and angular velocity are picked up as follows.

MVC is calculated by dividing the measured maximum muscular strength by the coefficient of angular velocity. The calculated MVC is divided by the weight input from the weight input unit 37 to obtain WBI. This weight input is performed in the weight input section 37.
Instead of the above, it is also possible to input a previously measured weight with the keyboard switch 32 and use the value to obtain WBI.

 Next, the flowchart shown in FIG. 3 will be described.

First, the identification is started by turning on the power supply or the like, and then an appropriate value is driven by the keyboard switch 32 to operate the resistor 13, and an appropriate resistance is given to the turning operation of the turning shaft 10, and
The muscle strength and angle are detected while rotating 11. The angle change per unit time, that is, the angular velocity, is calculated from the angle detected in the immediately preceding short time.

Next, the maximum muscle strength is divided by the coefficient of angular velocity, and the value obtained by dividing
Divide MVC by weight to get WBI. Display MVC and WBI 30
Is displayed and stored.

When the measurement is completed, the MVC and WBI values and a comment based on the WBI result described above are printed.

When the measurement is completed and then the training is started, the optimal training menu is selected from various types of training menus previously stored in the memory of the MPU 22 based on the above-described measurement results as shown in the flowchart of FIG. The optimal training menu is set. That is, the number of reciprocating rotations of the arm 11 is displayed on the display 30, and the resistor 13 is set with an optimal resistance to be applied to the rotating shaft 10.

When measuring muscle strength, an arbitrary instruction was given to the resistor 13 with the keyboard switch 32, and the magnitude of the resistance load was set by the operator. The MPU22 selects the optimum resistance value based on the measurement result,
PU 22 instructs resistor 13 to generate a resistor of a predetermined magnitude.

The training of the number of reciprocating rotations of the arm 11 displayed on the display 30, that is, the training of the optimal training menu is performed, and the training is completed.

In the above embodiment, the muscular strength detecting unit 9 is provided at the base of the mounting unit 5. However, as another embodiment, when the muscular strength detecting unit 9 is provided at a part of the rotating shaft 10, the muscular strength is expressed in torque units ( =
T, T = F × L). In this case, the torque (= T) is divided by the distance from the rotating shaft 10 to the mounting tool 5, that is, the arm length (= L). The muscle strength (= F) is calculated.

If the weight input section 37 is not provided between the frame 1 and the seat 2, the weight is measured in advance with a separate appropriate weight scale, and the weight is input with the keyboard switch 32. In the embodiment, the chair 4 and the detection and resistance setting unit
Although 12 is separate, the detection and resistance setting unit 12 may be integrally provided on the side of the chair 4 as another embodiment.

The present invention provides a detection and resistance setting section, a muscular strength detection section, an angle detection section, and a resistor, a coefficient for each angular velocity is previously stored in the MPU, and an appropriate resistance load is input and instructed by a keyboard switch. It is configured to calculate MVC and WBI.

The effect of this configuration is that, first of all, MVC is calculated while performing submaximal exercise, and WB is calculated using this MVC and weight.
Since I was able to calculate and display I and accurately evaluate lower limb motor skills and functions from this WBI, it was very advantageous in instructing functional recovery training.

Second, after measuring muscle strength, based on the measurement results, the MPU automatically selects and sets the most appropriate training menu from the training menu created and entered based on many statistical data Therefore, the optimal training menu can be automatically set without requiring the trouble of setting each time, and efficient function recovery training can always be performed regardless of the subjective evaluation of the practitioner.

Thirdly, a display is provided that displays MVC in `` Kg '', which is more everyday and easier to understand than torque `` Kg ・ m '' display, so that the patient's own MVC is clearly and visually fed back, You can now help motivate recovery training.

Fourth, since the present invention can calculate the MVC from the submaximal motion of rotating the lower limb by giving appropriate resistance,
(B) As an advantage in terms of safety, if MVC is expressed in a conventional isometric state, excessive muscle contraction occurs in muscles and tendons, and there is a danger and fear that the patient may hurt the muscles and tendons. There were many cases where MVC could not be measured in the process,
According to the present invention, this worry is eliminated, and the measurement of muscle strength can be carried out safely and safely. (B) In addition, since the patient is anxious about the injured lower limb function, it is difficult to express the maximum muscular strength of the lower limb, and it is difficult to measure the MVC itself. However, this book estimates and calculates the MVC by submaximal exercise. If the invention device is used, it is not necessary to express MVC in an isometric state,
MVC is easy for patients without pain and without worrying about muscle or tendon damage
You can know. (C) As an advantage in the measurement posture, since it is not known at which angle the maximum muscular strength appears,
When measuring in an isometric state, there is an individual difference in the MVC angle due to the measurement angle problem, so the MVC could not be known unless the measurement results were compared, but MVC while dynamically rotating the lower limb By using the device of the present invention, the MVC can be calculated by a single measurement of the rotational movement, so that the MVC can be known accurately without drastic muscle fatigue, greatly reducing time and labor. became.

Fifth, the conventional muscular strength measurement training apparatus has been configured to measure and display muscular strength and torque. Even if muscle strength and torque are simply measured, few practical instructors use the values effectively.

According to this configuration, the evaluation of physical fitness and precautions for training are printed as comments, though simple messages, from the WBI values obtained by measurement, which helps the instructor's training menu and helps patients He is also very effective as he can understand the recovery process well and encourages him to do joking next time.

[Brief description of the drawings]

The accompanying drawings show an embodiment of the present invention. FIG. 1 is a block diagram of an electric configuration, FIG. 2 is an overall external view, FIG. 3 is a flowchart of muscle strength measurement, and FIG. 4 shows a flowchart. 9: Muscle strength detection unit, 10: Rotating axis, 11: Arm, 13: Resistor, 14: Angle detection unit, 22: MPU, 26: MPU for calculation, 32: Keyboard switch, 33: Display unit, 37: Weight Input section

──────────────────────────────────────────────────続 き Continued on the front page (58) Fields surveyed (Int. Cl. ⁶ , DB name) A61H 1/02 A63B 21/00

Claims (1)

(57) [Claims] 1. An arm 11 that rotates about a rotation shaft 10 and a muscle force detector 9 that detects a force applied to an appropriate position on the arm 11.
An angle detector 14 for detecting a rotation angle of the rotation shaft 10, a resistor 13 for giving resistance to the rotation of the rotation shaft 10, a weight input unit 37 for inputting a weight, and a muscle strength detector 9. A microprocessing unit 22 that receives the muscle strength from the angle, the angle from the angle detection unit 14, and the weight from the weight input unit 37 to calculate the muscle strength per body weight, that is, the weight support index, and the measurement situation and the result and training situation And a display unit 33 for displaying the result. The microprocessing unit 22 is a training apparatus for measuring and evaluating athletic ability based on the measurement result and for setting an optimal strength training menu.