JPH03191960A - Apparatus for measuring, evaluating and training capacity for locomotion - Google Patents

Abstract

PURPOSE:To accurately evaluate function and to efficiently perform recovery training by mounting a muscular strength detection part, a revolving shaft angle detection part, the resistor to the revolution of a revolving shaft and a wt. input part and setting the optimum muscular strength training menu on the basis of measured results by a microprocessing unit. CONSTITUTION:The lower leg is mounted on a mounting tool 5 and a patient applies revolving force to a detection and resistance setting part 12 through an arm 11 and muscular strength is detected by a muscular strength detection part 9 and the angle of revolution of a revolving shaft 10 is detected by an angle detection part 14. An operator applies a signal to a resistor 13 by a keyboard switch to apply resistance to the revolution of the revolving shaft 10. The max. isometric volitional muscular strength and a wt. support index are calculated on the basis of the angular velocity, calculated from the wt. and angle of a muscular strength and wt. input part 37, and the coefficient at every angular velocity of the revolving shaft 10 and displayed to print out cautions about physical strength evaluation and training. Then, by automatically setting function recovery training, efficient training can be performed.

Description

DETAILED DESCRIPTION OF THE INVENTION Field of Industrial Application The present invention is a method for measuring, evaluating, and training lower limb motor ability for test subjects (including deceased persons, hereinafter referred to as patients). Relating to a side training device.

BACKGROUND ART A conventional technique is Japanese Patent Publication No. 57-30509. This publication describes a mechanism for the input shaft that rotates by applying muscle force, a torque detection unit that detects muscle force, a mechanism that controls the rotation of the input shaft to a predetermined speed pattern, and a mechanism that decelerates the input shaft using a motor to move the input shaft. A mechanism for displaying a load torque on an input shaft, a mechanism for displaying a load torque on an input shaft, etc. are disclosed.

Problems to be Solved by the Invention The muscle strength measuring and training devices cited as conventional techniques lack clear standards for objectively expressing the relationship between motor function and muscle strength. Conventionally, it has not been possible to determine the specific degree of motor dysfunction based on measurement and evaluation values obtained using muscle strength measurement and evaluation methods. For example, the strength of the quadriceps femoris muscle is MMT (=
There are surprisingly many patients who complain of anxiety about going up and down stairs even though they have a score of 5 or higher (manual muscle strength measurement method). Therefore, there is a need for a device that can measure and evaluate the degree of motor dysfunction.

In addition, the isometric link method (muscle strength measurement performed in the same state) has traditionally been used to measure and evaluate muscle strength, but this method causes excessive muscle contraction, which can cause patients to injure their muscles or keys. Therefore, there is a need for a safe muscle strength measurement and evaluation device that does not have to worry about damaging muscles or keys.

Means to solve the problem Under these circumstances, one isometric voluntary maximum muscle force [hereinafter referred to as MVC (Maximum Voluntary Co., Ltd.)]
This MVC
from the muscle strength per body weight, that is, the weight support index [hereinafter referred to as WBI
(Wej4hL-Bearing Indcx)] and evaluate using this calculated value, that is, WBT, it is possible to accurately evaluate athletic ability.

Evaluation of lower limb function and muscle strength is essential for instructing on-site rehabilitation and strength training. However, the relationship between the motor function of the lower limbs and the spinning force was
There is no clear standard for expressing it in terms of lJ.

Many of the evaluation methods are also impractical.

Every human activity is an anti-gravity movement. In this regard, due to the importance of weight-bearing capacity in sports activities, we focused on the function of the quadriceps femoris, measured the MMC of the extensor muscle group of the knee joint, and applied it to muscle function evaluation using the WBI as the muscle strength per body weight. I've been trying.

Next, we will discuss the effectiveness of WBI and the actual evaluation of lower limb motor function obtained from the results of many cases.

In order to participate in recreational sports, 0.8 is 1 for WBI, not only for men and women! It becomes a quasi-numeric value.

The motor functions of the lower limbs, such as walking, jogging, and jumping, can be distinguished from the viewpoint of weight support of the lower limbs during exercise. WBI is 0.4 to walk with normal rhythm.
Without this, normal walking is not possible.

In order to carry out daily life without trouble, a WBI of 0°6 or higher is required. 0.9 is the minimum requirement for performing strenuous exercises such as jumping and dashing without anxiety. Furthermore, a score of 1.3 or higher is required to prevent sports injuries.

When WI3I falls below the respective WBI required for lower limb movement, the movement or action will exhibit functional impairment or clinical symptoms.

This 31 value of lower limb function is applied to the exercise menu of the quadriceps femoris muscle. To introduce some of them: 0.4>WBI aO, Ashikoshi Ni Ijoari Ishinochiri Ryouga
Hirayodesu.

■, Imanokinryokudeha Alkemasen. Matsubazuede Rhythm Wo Mamottearukkoto.

0.4≦WBI<0.5 ■, Ashikoshi no Tsuyosaga Genriki Iniki Teimasu.

Training Gahitsuyo Death.

啜）、Jirikidearchemasuga mada hasittehaikemasen.

0.5≦WBI<0.6 ■, Tachiswarya Power Idanforil Dousani Fangademas.

■、Jitensha Machine Training Wo Yarukoto.

Madahashitte heikemasen.

In addition, when calculating WBI, there was a concern that if the MVC, which is measured in the previous stage, was performed in the equal-input state (=maximum effort) as in the conventional method, it would damage the muscles and keys, but while doing submaximal exercise (= According to the method used to measure (below maximum effort), there is no need to worry about damaging the muscles or keys.

The present invention was made in view of the problems of the prior art, and is a muscle strength measurement and evaluation training device that can measure MVC without damaging muscles or keys, can accurately evaluate lower limb function, and can efficiently perform recovery training for lower limb function. is intended to provide.

That is, the present invention provides an arm 11 that rotates about the first rotation axis 1o, a muscle force detection section 9 that detects the force applied to an appropriate position on the arm 11, and an angle that detects the rotation angle of the first rotation axis 10. A detection unit 14 and a resistor 1 that provides resistance to rotation of the rotation shaft 10
3, a weight input section 37 for inputting body weight, and a muscle strength detection section 9
Muscle force from the input unit 14 and angle from the angle detection unit 14 and body weight input unit 3
A microprocessing unit 22 [hereinafter referred to as MPU (Micro Processor)
singUnite) 22] and a display unit 33 that displays the measurement status and results and the training status and results.
The MPU 22 is an athletic ability measurement and evaluation training device that displays the measurement and evaluation of athletic ability based on the measurement results and sets an optimal muscle training menu.

The patient's lower leg is attached to the mounting tool 5 which is slidably and fixedly attached to the front of the working arm 11, and force is applied to the mounting tool 5 to move the arm 11.

A patient sitting on a chair 4 applies a rotational force to a rotation shaft 10 protruding from a detection and resistance setting section 12 via an arm 11. At this time, when attaching the mounting tool 5, the muscle force is detected by a muscle force detection section 9 provided at the base.

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

The operator selects an appropriate resistance load value using the keyboard switch 32.
MP that performs various calculations such as inputting and calculating WBI.
Input to U22.

Upon receiving the signal from the keyboard switch 32, the MPU 22 gives a signal to the resistor 13, which is connected to the rotation shaft 10.
Provides resistance to rotation.

The muscle strength detected by the muscle strength detection unit 9, the body weight manually input by the weight input unit 37, the angular velocity calculated from the angle detected by the angle detection unit 14, and the angular velocity of each rotation axis 10 that has already been input into the memory. Based on the coefficients, MVC with MPU22
and calculate WBI.

The calculated MVC and WI3I are displayed on the display section 33.

When the 81 determination is completed, the MVC and WBI values are printed by the printer 28, and from the obtained WI3I, a message of N, Ql- is written as comment 1~ as a physical fitness evaluation and a caution for the trainer, and this comment 1- is printed by the printer 28.

After the WBI measurement is completed, when the patient moves on to functional recovery training, the optimal training menu for this patient's functional recovery training is automatically set. That is, the MPU 22 sets a training menu for the resistance load to be applied to the rotation shaft 10 and the number of reciprocating rotations.

The patient performs efficient training according to the set training menu of this device.

Example The present invention will be explained in detail based on the accompanying drawings.

First, the outline of the present invention is that a seat portion 2 is provided on a frame body 1.

A chair 7-4 for placing a patient, which has a backrest 3 erected at the rear end of the seat 2, is supported by a base 7, and is used to detect the muscle strength of the patient's lower limbs and adjust the angle of the rotation axis 10. It consists of three individual members: a detection and resistance setting unit 12 that detects the movement of the patient's lower limbs and adds resistance to the movement of the patient's lower limbs during training, and a calculation display unit 34 that calculates and displays muscle strength.

Next, the above configuration will be explained in detail.

A body weight force section 37 made of a strain gauge or the like is provided between the seat section 2 of the chair 4 and the frame body 1. The output of the weight input section 37 is input to the MPU 22 which takes in various data and performs calculations. The weight input described above may be performed by inputting the weight measured in advance using the keyboard switch 32.

The detection and resistance setting section 12 is installed at the upper end of the telescopic column 8 which is erected on the base 7 while the chair 4 is lying on its side.

The detection and resistance setting section 12 that detects muscle strength and applies resistance has a rotation shaft 10 protruding horizontally from the side of the detection and resistance setting section 12 facing the chair 4.
An arm 11 is detachably attached to the tip of the arm 11, and a mounting tool 5 is attached to an appropriate position of the arm 11 so as to be slidable and fixed.
is established, [i! A resistor 13 that provides resistance to the rotation of the rotation shaft 10 is provided at the base end of the I rotation shaft 10.
An angle detection section 14 for detecting the rotation angle of the rotation shaft 10 is provided at an appropriate location of the rotation shaft 10.

The muscle force detection unit 9 includes a load cell 15 that detects the force applied to the attachment device 5, a sensor amplifier 16 that amplifies the signal generated by the load cell 15, and an A/D converter 17 that converts the amplified analog signal into a digital signal. Consists of A/
The output signal of the D converter 17 is input to Mr'U22.

The muscle force signal input to the MPU 22 is divided by a corresponding coefficient to be described later and converted into MVC.

The angle detection unit 14 includes a potentiometer 19 that detects the rotation angle of the rotation shaft 10, an angle sensor amplifier 20 that increases the signal of the potentiometer 19 by +lqJ, and an analog signal output from the angle sensor amplifier 20 into a digital signal. The angle A/D converter 21 performs conversion, and the output signal of the angle A/D converter 21 is input manually to the MPU 22.

The angular signal input manually to the MPU 22 is converted into a changing scene of angle (=direction) 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. A specific example of the resistor 13 is not shown, but it includes a cylinder, a fluid path restrictor, a crank arm, and the like. As another example, powder brakes may be used.

During measurement, an appropriate resistance load is applied to the rotation of the lower limbs.
The output of the keyboard switch 32, which specifies and inputs the value of this resistive load, is input into the interface 31 connected to this keyboard switch 32.

The output of the interface 31 is input to the MPU 22.

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

Inside the MPU 22, there is a data M that mainly imports data.
There is a PU 18, and the input/output terminal of the data MI U 18 includes a first serial communication circuit 23, an isolation circuit 24 made of a photocoupler, etc., and a second serial communication circuit 25, which is another serial communication circuit. are successively connected in series.

The input and output terminals of the second real communication circuit 25 are connected to the input and output terminals of a calculation M P [726] which calculates data and calculates WnI.

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

M! ``' The first output signal of the U 22 is applied to the printer 28 that prints the calculation results via the Centronics control circuit 27 which includes a buffer device and a 4!! device that sends and receives operation messages.

The second output signal of the MPU 22 is attached to a display 30 that stores the data created for one screen and displays the output results of the MPU 22 on the screen via a display control circuit 29 that outputs a signal in synchronization with the scanning line. tj is done.

The third output No. 14 of the MPU 22 is applied to the resistor 13.

In addition, 35 in FIG. 2 is a handle attached to the frame 1, and 3
G is a fixing band that fixes the patient's thigh to the seat 2.

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

The patient sits on the seat 2 of a chair 4, puts his or her lower leg in contact with a brace 5 placed in front of the patient's lower leg, and secures it to the brace 5 with a leg attachment band 6.

The patient applies force to the attachment device 5 by extending and flexing the knee joint.

When the knee joint is extended, the quadriceps femoris muscle works, and the muscle force of the quadriceps femoris muscle is applied to the attachment tool 5.

Input an appropriate resistance load using the keyboard switch 32,
The output of this keyboard switch 32 is input to the MPU 22 via the interface 31.

The force applied to the mounting tool 5 is detected as a muscular force by a load cell 15, 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 to a digital signal by the A/D converter]7, and this 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 this digital signal is sent to the MPU.
22.

MPU 18 for data and M for calculation existing in MPU 22
The I'U 26 sends and receives signals 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 section 12 in close proximity to the various sensor members and the resistor 13, and has the function of taking in signals from the various sensors.
U2G is provided in the calculation display section 34 and has the function of performing various calculations based on data and issuing the calculation results,
The reliability of data exchange between the detection and resistance setting section 12 and the calculation display section 34 is improved.

The first signal output from the ML) tJ 22 passes through a sensor 1-ronics controller 1-roll circuit 27 having an interface function and reaches a printer 28, where the values of MVC and WBI are printed.

The second signal output from the MPU 22 passes through the display control circuit 29 having an interface function and reaches the display 30, where the MVC is displayed in units of rKgJ and W13I is displayed as an anonymous number.

The second (No. 2) output from Mr'U 22 controls the resistor 13 and controls 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 muscle strength in a moving state, the MPU 22 stores an angular velocity coefficient in advance. The coefficients for each angular velocity are extremely reliable coefficients that are statistically created based on a large amount of experimental data. Some of the coefficients calculated from the relationship between MVC and angular velocity are as follows.

Angular velocity coefficient 0 degrees/see・・・・・・・・・1.0↓
↓ 180 degrees/5ec-0,53 ↓ ↓ 300 degrees/sac...0.34 The measured maximum muscle strength is divided by the coefficient of angular velocity to calculate MVC. WBI is obtained by dividing the calculated MVC by the weight input from the weight input section 37. This weight input is performed by the weight input section 37.
Instead of , select the pre-measured weight by pressing the keyboard switch 32.
It is also possible to obtain the WBI using the input value.

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

First, measurement is started by turning on the power, etc., and then inputting an appropriate value with the keyboard switch 32 activates the resistor 13 to apply appropriate resistance to the rotational movement of the rotation shaft 10, and the arm 11 is rotated. The muscle force and angle are detected while The amount of change in angle per unit time, that is, the angular velocity, is calculated from the angle detected in the previous short time.

Next, divide the maximum muscle strength by the coefficient of angular velocity, and divide the resulting value M
Divide VC by body weight to obtain WBI. MVC and W13I are displayed and stored on the display 30.

When the i11'J determination is completed, the MVC and WBI values and the W
Print comments based on B I results.

When the training is started after the al determination is finished, as shown in the flowchart of FIG. is selected and the optimal training menu is set, ie.

The number of reciprocating rotations of the arm 11 is displayed on the display 30, and the optimum resistance force to be applied to the rotation shaft 10 is set in the resistor]3.

In addition, when measuring muscle strength, the operator gave an arbitrary instruction to resistance: G I J using the keyboard switch 32 and set the magnitude of the resistance load, but when training muscle strength, The optimum resistance value is determined based on the measurement results of the work.
J22 selects it, and the MPU 22 instructs the resistor 13 to generate a resistance of a predetermined magnitude.

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

In the above embodiment, the muscle force detection section 9 was installed at the base of the attachment section 5, but in another embodiment, when the muscle force detection section 9 was provided at a part of the rotating shaft 10, the muscle force detection section 9 could be attached to the rotation shaft 10. Unit (=T
, T=FXL), and in this case, the muscle force (= F) is calculated.

Furthermore, if the human body weight section 37 is not provided between the frame body 1 and the seat section 2, the user's weight is measured in advance using a separate appropriate scale, and the weight is entered using the keyboard switch 32. In the embodiment described above, the chair 4 and the detection and resistance setting section 1
2 is a separate body, but in another embodiment, the detection and resistance setting unit 12 may be integrally provided on the side of the chair 4.

Effects of the Invention The present invention includes a muscle force detection section, an angle detection section, and a resistor in the detection and resistance setting section, stores coefficients for each angular velocity in advance in the MPU, and manually instructs an appropriate resistance load using a keyboard switch. It is configured to calculate MVClWBI.

The effect of this configuration is that, first of all, MVC is calculated while performing submaximal exercise, WBI is calculated and displayed using this MVC and body weight, and lower limb motor ability and function can be accurately evaluated from this WBI. This made it very advantageous for teaching functional recovery training.

Second, after determining muscle strength, the MPU automatically selects the optimal training menu from the training menus created and input based on a large amount of statistical data based on the measurement results. Since you can set the
The optimal training menu can now be automatically set, making it possible to always perform efficient functional recovery training regardless of the practitioner's subjective evaluation.

Thirdly, we have installed a display that displays MVC in rKgJ, which is easier to understand in daily life than the "Kg-m" torque display, so that the user can easily understand and visually feedback his or her own MVC, and improve the function. It is now possible to assist in raising low desires in recovery training.

Fourthly, in the present invention, MVC can be calculated from a submaximal movement in which the lower limbs are rotated while applying appropriate resistance.
(b) As a safety advantage, if MVC is expressed in the conventional isoenteric state, there is a risk and concern that excessive muscle contraction will occur in the muscles and keys, causing patients to injure their muscles and elbows.
There were many cases in which MVC could not be measured during the treatment process, but the present invention eliminates this concern and allows muscle strength to be measured safely and securely. (b) Also.

Since the patient, rJ, is concerned about the injured F membrane function, it is difficult for him to express maximum muscle strength in his lower limbs, and it is difficult to measure MVC. However, the present invention device estimates and calculates MVC through submaximal exercise. If you use .

Since MVC does not need to be expressed in an equal state, patients can easily learn about MVC without having to worry about injuring their muscles or keys. (c) Also, as an advantage of the measurement posture, it is not known at what angle the maximum muscle strength is expressed, so when measuring in an equal position, there are individual differences in the angle at which MVC is exerted due to problems with the measurement angle.

The MVC could not be determined without comparing the 81-degree rotational motion, but by using the device of the present invention, which calculates the MVC without dynamically rotating the lower limb, it is possible to calculate the MVC without dynamically rotating the lower limb.
Since MVC can be calculated using l + constant, it is now possible to know MVC accurately in one hour without tiring the muscles, greatly reducing the number of steps.

Fifth, conventional muscle strength measurement and training devices have up to four capabilities for measuring and displaying muscle strength and torque. Even if the muscle Kabegawa/Luku is simply measured, there are few practical instructors who make effective use of that value.

According to this configuration, the evaluation of physical strength and the precautions for the trainer from the WBI value obtained by measurement are printed as a comment 1-, although it is a simple message, and it becomes a mainstay in the training menu of the instructor. It is very effective for the sufferer to understand the recovery process and to encourage him/her to be able to jog next time.

[Brief explanation of drawings]

The attached drawings show an embodiment of the present invention, and FIG. 1 is a block diagram of the electrical configuration, FIG. 2 is an overall external view, FIG. 3 is a flowchart of muscle strength measurement 1, and FIG. Flowchart 1 of muscle training is shown. 9... Muscle force detection unit, 10... Rotation axis, 11... Arm, 13... Resistor, 14... Angle detection unit, 22...
...M I) tJ, 26... Mr'U for calculation, 32
...Keyboard switch.

Claims (1)

[Claims] An arm 11 that rotates around a rotation shaft 10, a muscle force detection section 9 that detects a force applied to an appropriate position on the arm 11, and an angle detection section 14 that detects a rotation angle of the rotation shaft 10. A resistor 13 that provides resistance to the rotation of the rotation shaft 10, a weight input section 37 that inputs body weight, muscle strength from the muscle strength detection section 9, an angle from the angle detection section 14, and body weight from the body weight input section 37. and a display section 33 that displays measurement status and results and training status and results. An exercise ability measurement and evaluation training device that displays the measurement and evaluation of exercise ability based on the results and sets an optimal muscle training menu.