JP4512829B2 - Muscle stretch reflex measurement device - Google Patents

Description

  The present invention relates to a muscle stretch / reflex measuring apparatus, and more particularly, to a muscle stretch / reflex measuring apparatus having a function of detecting a tapping mistake and / or a function of detecting muscle contraction.

Patent Document 1 discloses a reflex measurement apparatus for detecting a physical reflex response of a patient to an applied stimulus, and an improved reflex measurement for quantitatively detecting and measuring a parameter having a patient response to a stimulus. An apparatus and method are described.
Patent Document 2 describes a joint motion function evaluation device and an evaluation method that automatically perform a series of processes from measurement of joint motion by an acceleration signal input device to evaluation value calculation by an evaluation value calculation device.

The present inventor can estimate the nervous system disorder site of the subject and evaluate the degree of the disorder by measuring the muscle stretch reflex induced when the subject's tendon is stimulated with a percussion device. An application has been filed for a device for measuring muscle stretch reflex (Japanese Patent Application No. 2004-222308).
Special table hei 7-506998 JP 2003-319920 A

  In general, the induction of muscle stretch reflex is performed by stretching a continuous muscle to the tendon by hitting the skin directly above the tendon. However, since there is a bone near the tendon, the bone may be beaten by mistake. In this case, the tendon is not beaten, and the muscle is not stretched as a result, so that the muscle stretch reflex is not induced. For this reason, it is necessary to exclude from analysis data the case where not a tendon but a bone or a bone-tendon boundary is beaten as a mis-impact.

If the muscle is contracted before measurement, the measured value is affected. In the induction method by tapping muscle stretch reflex, artifacts are mixed in the measurement result due to tapping mistakes and unnecessary muscle contraction during measurement.
In view of the above points, an object of the present invention is to improve the measurement accuracy of tapping data of muscle stretch reflection by detecting tapping mistakes (misimpact) and / or muscle contraction before measurement. Another object of the present invention is to monitor the myoelectric potential before measurement, and to make the measurement impossible or remove it from the measurement result when there is muscle contraction.

  In the present invention, when the bone is beaten and when the tendon is beaten, from the time axis waveform of the tapping force, in particular, the degree of inclination and time of the rising portion, the time of the falling portion, etc. are determined in advance, Further, a misimpact is determined by obtaining a difference in attenuation existing in a predetermined item in the vicinity of 2 Hz and in the vicinity of 200 Hz to 300 Hz from the FFT waveform of the tapping force. If the result is a mis-impact, remove it from the correct impact result. Also, the myoelectric potential before the measurement is monitored, and if there is muscle contraction, the measurement cannot be performed or is removed from the measurement result.

According to the first solution of the present invention,
A tapping hammer that has a tapping force sensor and measures tapping force data generated when tapping the muscle stretch reflex induction site;
An electromyograph connected to one or more electrodes for measuring myoelectric potential and measuring myoelectric potential data of the muscle corresponding to the muscle stretch reflex induction site;
Based on the tapping force data from the tapping hammer and the myoelectric potential data from the electromyograph, it comprises a analyzing device that detects misimpact and displays it on the display unit or outputs it to the output unit,
The analysis device inputs myoelectric potential data from a myoelectric meter, determines that there is muscle contraction when the pre-measurement myoelectric potential data exceeds a certain value,
When the analysis device determines that there is muscle contraction, the display unit audibly or visually displays that effect,
On the other hand, when the analysis device determines that there is no muscle contraction before measurement, the tapping force data output from the tapping force sensor of the tapping hammer is input,
The analysis device forms a time axis waveform and a Fourier transform waveform based on the measured tapping force data,
The analysis device includes:
(1) For the time axis waveform, obtain one or more of a predetermined time from the action time, the inclination of the tapping force waveform at the action time, the reaction time, and the inclination of the reaction time,
(2) For a Fourier transform waveform, obtain one or a plurality of predetermined amplitude spectra in a low frequency region of about several Hz and a level of about 200 to 300 Hz,
The analysis device includes:
(1) Regarding the time axis waveform, the action time is shorter than a predetermined value, the inclination of the tapping force waveform at the action time is larger than a predetermined value, and the reaction time is shorter than a predetermined value. When the slope of the tapping force waveform in the reaction time is larger in the negative direction than the predetermined value, when any one or a plurality of falls, or
(2) For the Fourier transform waveform, the amplitude spectrum is larger in a minus direction than a predetermined value in a low frequency region of about several Hz, and is partially larger than a predetermined value at a level of about 200 to 300 Hz. When any one or more of not exhibiting attenuation falls
Judged as mis-impact,
If it is determined that there is no misimpact, the analysis device saves the tapping force data in the storage unit or outputs it to the output unit. Audible or visual indication on the display that prompts you to re-measure
A muscle stretch reflex measurement device is provided.

According to the second solution of the present invention,
A tapping hammer that has a tapping force sensor and measures tapping force data generated when tapping the muscle stretch reflex induction site;
Based on the hitting force data from the hitting hammer, comprises a analyzing device that detects a mis-impact and displays on the display unit or outputs to the output unit,
The analysis device inputs hitting force data output from the hitting force sensor of the hitting hammer,
The analysis device forms a time axis waveform and a Fourier transform waveform based on the measured tapping force data,
The analysis device includes:
(1) For the time axis waveform, obtain one or more of a predetermined time from the action time, the inclination of the tapping force waveform at the action time, the reaction time, and the inclination of the reaction time,
(2) For a Fourier transform waveform, obtain one or a plurality of predetermined amplitude spectra in a low frequency region of about several Hz and a level of about 200 to 300 Hz,
The analysis device includes:
(1) Regarding the time axis waveform, the action time is shorter than a predetermined value, the inclination of the tapping force waveform at the action time is larger than a predetermined value, and the reaction time is shorter than a predetermined value. When the slope of the tapping force waveform in the reaction time is larger in the negative direction than the predetermined value, when any one or a plurality of falls, or
(2) For the Fourier transform waveform, the amplitude spectrum is larger in a minus direction than a predetermined value in a low frequency region of about several Hz, and is partially larger than a predetermined value at a level of about 200 to 300 Hz. When any one or more of not exhibiting attenuation falls
Judged as mis-impact,
If it is determined that there is no misimpact, the analysis device saves the tapping force data in the storage unit or outputs it to the output unit. Audible or visual indication on the display that prompts you to re-measure
A muscle stretch reflex measurement device is provided.

According to the third solution of the present invention,
A tapping hammer that has a tapping force sensor and measures tapping force data generated when tapping the muscle stretch reflex induction site;
An electromyograph connected to one or more electrodes for measuring myoelectric potential and measuring myoelectric potential data of the muscle corresponding to the muscle stretch reflex induction site;
Based on the tapping force data from the tapping hammer and the myoelectric potential data from the electromyograph, it comprises a analyzing device that detects misimpact and displays it on the display unit or outputs it to the output unit,
The analysis device inputs myoelectric potential data from a myoelectric meter, determines that there is muscle contraction when the pre-measurement myoelectric potential data exceeds a certain value,
When the analysis device determines that there is muscle contraction, the display unit audibly or visually displays that effect,
On the other hand, when the analysis device determines that there is no muscle contraction, a muscle stretch reflex measurement device is provided that inputs tapping force data output from the tapping force sensor of the tapping hammer.

  According to the present invention, as described above, by detecting a tapping mistake (misimpact) and / or muscle contraction, it is possible to improve the measurement accuracy of tapping data of muscle stretch reflection. Further, according to the present invention, the myoelectric potential before measurement is monitored, and if there is muscle contraction, measurement cannot be performed or it can be removed from the measurement result.

1. Configuration of Muscle Stretch Reflection Measuring Device FIG. 1 shows a schematic configuration diagram of a system.
FIG. 2 shows a detailed block diagram of the system.
The tapping hammer 1 includes a tapping force sensor 11. The hitting hammer 1 is also called a tendon device, hits a muscle stretch reflex induction site, and measures the hitting force. Examples of muscle stretch reflexes include, but are not limited to quadriceps stretch reflexes, gastrocnemius reflexes, biceps reflexes, triceps reflexes, brachial reflexes, deltoid reflexes, and scapulohumeral reflexes. . The tapping hammer 1 has, for example, a cylindrical shape, and can be provided with a tapping force sensor 11 that detects tapping force at the base or near the surface of the tapping cap at the tip. The tapping force sensor 11 can be composed of, for example, a piezoelectric sensor or the like, and detects the strength of the force when the subject is tapped.

  The electromyograph 3 is connected to the myoelectric potential measuring electrode 2 and measures the myoelectric potential of the target muscle. The electrode 2 is attached to the target muscle according to the muscle stretch reflex induction site to be measured. For example, when measuring the quadriceps stretch reflex, electrodes are attached to the quadriceps and biceps. In addition to quadriceps stretch reflex, it is necessary to apply to gastrocnemius reflex, biceps reflex, triceps reflex, brachial reflex, deltoid reflex, scapulohumeral reflex, etc. Accordingly, one or a predetermined number of electrodes 2 are attached to the corresponding muscles. The electromyograph 3 outputs myoelectric potential data based on the input from the electrode 2. The electromyograph 3 can take a system in which the temporal displacement of the myoelectric potential is output in a graph or the like from a waveform diagram or the like, or a sound is output according to the magnitude of the waveform of muscle contraction.

  The analysis device 4 includes a CPU 41, a memory 42, a display unit 43, an output unit 44 such as a printer and a recording medium driver, an interface 45 for output to various recording medium drivers and external output devices, and the like. Each unit such as the display unit 43 and the output unit 44 can be appropriately provided outside. The analysis device 4 measures the tapping data by the tapping hammer 1 and the myoelectric potential by the electromyograph 3, analyzes various data based on these measurement data (time axis data, frequency analysis (Fourier transform)), detects muscle contraction, Detection of misimpact, storage of each data in the memory 42, output to the display unit 43, the output unit 44, the external I / F 45, and the like are performed. The electrode 2 and the electromyograph 3, and the electromyograph 3 and the analysis device 4 are connected by wire or wirelessly. Further, the hammer 1 and the analysis device 4 are also connected by wire or wirelessly. In the case of wireless connection, a wireless transmitter and a wireless receiver are provided in each unit as necessary. The analysis device 4 and the electromyograph 3 can also be integrated.

2. Misimpact Measurement Method FIG. 3 shows a flowchart of muscle stretch reflection measurement.
In the following, a case where the present invention is applied to the quadriceps reflex will be described as an example, but the present invention can be similarly applied to the other reflexes described above.

(1) Setup The test subject sits on a measurement chair and attaches to the corresponding muscle according to the muscle stretch reflex induction site of the object to be examined for the electrode 2. In this example, since it is a quadriceps reflex, the electrode 2 is affixed to the surfaces of the quadriceps (main muscle) and the flexor flexor (antagonist), respectively.

(2) Automatic muscle contraction analysis function by myoelectric potential The analysis device 4 (CPU 41) measures a resting electromyogram by the electromyograph 3, and stores the measured myoelectric potential data in the memory 41 as necessary ( S101).
Since it is necessary that the muscle is sufficiently relaxed when measuring the muscle stretch reflex, the analysis device 4 (CPU 41) generates myoelectric potential data, which is the output of the electromyograph 3, according to the degree. And an audible or visible display on the display unit 43 as a waveform on the screen.

  The analysis device 4 (CPU 41) refers to the memory 42 or the electromyograph 3 and determines the presence or absence of muscle contraction based on the measured myoelectric potential data (S103). At this time, the analysis device 4 (CPU 41) determines that there is muscle contraction when the magnitude of the myoelectric potential data exceeds a certain value. For example, the analysis device 4 (CPU 41) determines whether or not the muscle is relaxed when measuring a myoelectric potential that exceeds a predetermined multiple (for example, twice) of the amplitude peak value at rest. The waveform data measured at the time can be excluded from the measurement result.

When the analysis device 4 (CPU 41) determines that there is muscle contraction, it indicates that measurement preparation is not possible by an audible display using sound or a visual display using waveforms, characters, images, etc. (S121). It is inappropriate data, so it is not stored in the database. Further, the analysis device 4 (CPU 41) may display the display unit 43 so as to relax the muscles and instruct the subject or the operator (S121).
On the other hand, when the analysis device 4 (CPU 41) determines in step S103 that there is no muscle contraction, the process proceeds to step S105.

(3) Mis-impact detection function In step S105, an instruction for tapping measurement by the tapping hammer 1 is displayed on the display unit 43, and subsequent tapping data is set to be storable.
Next, when the operator taps the tendon of the subject, the hitting force data is output by the hitting sensor 11 of the hitting hammer 1, and the analysis device 4 (CPU 41) inputs the time change of the hitting force data. In addition, although it is assumed that an operator such as a doctor hits the muscle reflex induction site of the subject with the hitting hammer 1 in the manual, hitting data may be obtained by hitting using an automatic hitting device. .
Thereafter, the analysis device 4 (CPU 41) forms a time axis waveform and an FFT (Fourier transform) waveform based on the measured tapping force data, and analyzes these waveforms (S109, S111, S113).
At this time, the analysis device 4 (CPU 41) detects a miss impact as follows.

(Tapping force time axis waveform: S109)
FIG. 4 shows an example of a time axis waveform diagram of the tapping force data.
In the figure, the x-axis represents time (ms) and the y-axis represents tapping force (N). Each waveform shows a case where a bone is beaten (misimpact) and a case where a tendon is beaten.
The tapping force waveform when the hammer collides with the human body mainly releases the action time during which the human tapping force sensor 1 of the tapping hammer 1 and the human body are deformed by tapping and the elastic deformation energy of the human body and the tapping force sensor 11. It is constituted by the reaction time during which the human body pushes back the hammer.

FIG. 5 shows a contrast diagram of the measurement results of the representative examples.
This figure shows the difference in the tapping force time axis waveform when the tendon is struck and when the bone is struck.
Thus, when the tendon is struck and when the bone is struck (misimpact), differences are detected in the following four items in particular. Regarding the reference value (threshold value) that determines whether or not there is a mis-impact (whether hitting data is valid or invalid), the numbers in parentheses below are only examples, and the type of muscle stretch reflex induction site and the age of the subject -It is determined as appropriate depending on differences in gender, characteristics of the device such as a hammer, measurement environment, etc., and is not limited to this.
a. Action time: First time crossing the x-axis (value of 0) (rise) time to peak time (increase time) Action time (in this example, bone hitting is about 50% shorter than tendon hitting)
b. Slope of the tapping force waveform during the action time: Tapping force slope during the increase (action time) (in this example, the tapping of the bone part is about three times larger than the tapping part of the tendon)
c. Reaction time: Time (decrease time) intersecting the x-axis (value of 0) from the peak time (in this example, the bone hitting is about 40% longer than the tendon hitting)
d. The absolute value of the peak value of the reaction time slope: the tapping force slope while decreasing (in this example, the bone tapping is about 1.3 times larger in the minus direction than the tendon tapping)

  The analysis device 4 (CPU 41), for each of the items a to d described above, for a preset item stored in the memory 42, based on the obtained time axis waveform, the corresponding value (action time, action time) Among the inclination of the tapping force waveform, the reaction time, and the inclination of the reaction time, any one or more predetermined items) are calculated and stored in the memory 42 corresponding to each item. At this time, the analysis device 4 (CPU 41) determines whether each item falls within a predetermined effective range, and displays the determination result for each item (for example, flag “1” if applicable). It may be stored in the memory 42.

(Tapping force FFT waveform: S111)
FIG. 6 shows an example of a Fourier transform (FFT) waveform diagram of the tapping force waveform.
In the figure, the x-axis represents frequency (Hz) and the y-axis represents amplitude spectrum (dB). Each waveform indicates a waveform in which the tendon portion is struck and a waveform in which the bone portion is struck.

As shown in the drawing, when the tendon is struck, there are the following differences (misimpact) compared to when the bone is struck.
A. Low frequency range of about several Hz: In tendon strike, the peak of the amplitude spectrum in the positive direction is large (in the case of bone strike, that is, mis-impact, it is positive, whereas tendon strike, that is, correct impact is negative).
B. Levels near 200-300 Hz: tendon strikes show partial attenuation.

  Among the items A and B described above, the analysis device 4 (CPU 41) is an item preset in the memory 42 (amplitude spectrum in a low frequency region of about several Hz and a level of about 200 to 300 Hz, Any one or a plurality of predetermined items) is calculated based on the obtained tapping force FFT waveform and stored in the memory 42 corresponding to each item. At this time, the analysis device 4 (CPU 41) determines whether each item falls within a predetermined effective range, and displays the determination result for each item (for example, flag “1” if applicable). It may be stored in the memory 42.

(Judgment of mis-impact by analysis device 4: S113)
For the time waveform, the analysis device 4 (CPU 41) refers to the memory 42, for example, and refers to the above a to d.
It is determined whether the bone part is beaten or the ligament part is beaten by using the four item data. For the FFT waveform, the analysis device 4 (CPU 41) refers to, for example, the memory 42 and determines whether the bone portion or the ligament portion has been beaten using the two item data A and B as an index. . At this time, the memory 42 stores in advance data (valid or invalid threshold value, etc.) serving as a reference for determining whether or not each item has a mis-impact, and the analysis device 4 (CPU 41) 42, based on the analysis data of each item (any one or a plurality (including all) of a to d, A, and B), the two are compared to determine misimpact.

  The analysis device 4 (CPU 41) sets in advance in the memory 42 by the input unit of the analysis device 4 how the items a to e and the items A and B as misimpact judgment criteria are combined. Can do. For example, it is possible that all are not mis-impacts, or if any one of the selected data is selected as appropriate according to the reflection and none of the selected data corresponds, it can be determined that there is a mis-impact. For example, the analysis device 4 (CPU 41) 1) increases the slope of the time series graph (item b), 2) the slope of the decrease (item d), 3) the amplitude around several Hz in the FFT ( When the above items A), 4) four items having amplitudes in the vicinity of 200 Hz to 300 Hz (the above item B) are selected in advance and stored in the memory 42, if all of these items are not mis-impacts, the analysis device 4 (CPU 41) ) Can be determined not to be a mis-impact. Moreover, if the analysis apparatus 4 (CPU 41) is valid for all items (items a to d, A, and B), it can be determined that the impact is correct.

If the analysis device 4 (CPU 41) determines that the ligament portion has been beaten, the hit data is stored in the memory 42 as it is (S115), and the display portion 43 indicates that the tendon tapping is normal (not mis-impact). To display. The analysis device 4 (CPU 41) outputs or stores the hit data and myoelectric potential data to an external device or a recording medium via the display unit 43 or the I / F 46 at an appropriate timing as necessary. Can do. On the other hand, if it is determined that there is a mis-impact as if the bone portion was struck, the analysis device 4 (CPU 41) does not store the tapping data, shows the mis-impact on the display unit 43 audibly or visually, A display for prompting measurement is performed (S123).
Next, the analysis device 4 (CPU 41) starts the next measurement or ends the measurement (S119). Here, when moving to the next measurement, the process may return to step S105 without returning to step S103.

(4) Adjustment of resistance between electrode skins Although two or more electrodes 2 are usually used, the resistance value between an electrode and skin may influence a measurement result. For this reason, for example, in step S101, the electromyograph 3 includes means for automatically measuring the resistance between the surface electrode 2 and the skin, and if the measured resistance is large, the electromyograph 3 informs the analyzer 4 (CPU 41) to that effect. It is also possible to provide means for outputting a signal conveying the above. When the analysis device 4 (CPU 41) receives this output, it may have a function of performing a display for instructing the display unit 43 to re-stretch.

  The present invention is applicable to the gastrocnemius reflex, the biceps reflex, the triceps reflex, the brachial reflex, the deltoid reflex, and the scapulohumeral reflex system in addition to the quadriceps stretch reflex. .

1 is a schematic configuration diagram of a system. The detailed block diagram of a system. The flowchart of a muscle stretch reflex measurement. A time-axis waveform diagram of tapping force data. The contrast figure of the measurement result of a representative example. The Fourier-transform (FFT) waveform figure of a tapping force waveform.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Tapping hammer 11 Tapping force sensor 2 Electrode 3 Electromyograph 4 Analyzer 41 CPU
42 Memory 43 Display 44 Output 45 External I / F
46 I / F

Claims (11)

A tapping hammer that has a tapping force sensor and measures tapping force data generated when tapping the muscle stretch reflex induction site;
An electromyograph connected to one or more electrodes for measuring myoelectric potential and measuring myoelectric potential data of the muscle corresponding to the muscle stretch reflex induction site;
Based on the tapping force data from the tapping hammer and the myoelectric potential data from the electromyograph, it comprises a analyzing device that detects misimpact and displays it on the display unit or outputs it to the output unit,
The analysis device inputs myoelectric potential data from a myoelectric meter, determines that there is muscle contraction when the pre-measurement myoelectric potential data exceeds a certain value,
When the analysis device determines that there is muscle contraction, the display unit audibly or visually displays that effect,
On the other hand, when the analysis device determines that there is no muscle contraction before measurement, the tapping force data output from the tapping force sensor of the tapping hammer is input,
The analysis device forms a time axis waveform and a Fourier transform waveform based on the measured tapping force data,
The analysis device includes:
(1) For the time axis waveform, obtain one or more of a predetermined time from the action time, the inclination of the tapping force waveform at the action time, the reaction time, and the inclination of the reaction time,
(2) For a Fourier transform waveform, obtain one or a plurality of predetermined amplitude spectra in a low frequency region of about several Hz and a level of about 200 to 300 Hz,
The analysis device includes:
(1) Regarding the time axis waveform, the action time is shorter than a predetermined value, the inclination of the tapping force waveform at the action time is larger than a predetermined value, and the reaction time is shorter than a predetermined value. When the slope of the tapping force waveform in the reaction time is larger in the negative direction than the predetermined value, when any one or a plurality of falls, or
(2) For the Fourier transform waveform, the amplitude spectrum is larger in a minus direction than a predetermined value in a low frequency region of about several Hz, and is partially larger than a predetermined value at a level of about 200 to 300 Hz. When any one or more of not exhibiting attenuation falls
Judged as mis-impact,
If it is determined that there is no misimpact, the analysis device saves the tapping force data in the storage unit or outputs it to the output unit. Audible or visual indication on the display that prompts you to re-measure
Muscle stretch reflex measurement device. A tapping hammer that has a tapping force sensor and measures tapping force data generated when tapping the muscle stretch reflex induction site;
Based on the hitting force data from the hitting hammer, comprises a analyzing device that detects a mis-impact and displays on the display unit or outputs to the output unit,
The analysis device inputs hitting force data output from the hitting force sensor of the hitting hammer,
The analysis device forms a time axis waveform and a Fourier transform waveform based on the measured tapping force data,
The analysis device includes:
(1) For the time axis waveform, obtain one or more of a predetermined time from the action time, the inclination of the tapping force waveform at the action time, the reaction time, and the inclination of the reaction time,
(2) For a Fourier transform waveform, obtain one or a plurality of predetermined amplitude spectra in a low frequency region of about several Hz and a level of about 200 to 300 Hz,
The analysis device includes:
(1) Regarding the time axis waveform, the action time is shorter than a predetermined value, the inclination of the tapping force waveform at the action time is larger than a predetermined value, and the reaction time is shorter than a predetermined value. When the slope of the tapping force waveform in the reaction time is larger in the negative direction than the predetermined value, when any one or a plurality of falls, or
(2) For the Fourier transform waveform, the amplitude spectrum is larger in a minus direction than a predetermined value in a low frequency region of about several Hz, and is partially larger than a predetermined value at a level of about 200 to 300 Hz. When any one or more of not exhibiting attenuation falls
Judged as mis-impact,
If it is determined that there is no misimpact, the analysis device saves the tapping force data in the storage unit or outputs it to the output unit. Audible or visual indication on the display that prompts you to re-measure
Muscle stretch reflex measurement device. A tapping hammer that has a tapping force sensor and measures tapping force data generated when tapping the muscle stretch reflex induction site;
An electromyograph connected to one or more electrodes for measuring myoelectric potential and measuring myoelectric potential data of the muscle corresponding to the muscle stretch reflex induction site;
Based on the tapping force data from the tapping hammer and the myoelectric potential data from the electromyograph, it comprises a analyzing device that detects misimpact and displays it on the display unit or outputs it to the output unit,
The analysis device inputs myoelectric potential data from a myoelectric meter, determines that there is muscle contraction when the pre-measurement myoelectric potential data exceeds a certain value,
When the analysis device determines that there is muscle contraction, the display unit audibly or visually displays that effect,
On the other hand, when the analysis device determines that there is no muscle contraction, the muscle stretching / reflecting measurement device inputs tapping force data output from the tapping force sensor of the tapping hammer.   2. The electromyograph, when measuring quadriceps stretch reflex, measures the myoelectric potential of quadriceps and biceps femoris using a plurality of the electrodes. Or the muscle stretch reflex measuring apparatus according to 3.   The electromyograph is applied to the gastrocnemius reflex, the biceps reflex, the triceps reflex, the brachial reflex, the deltoid reflex, or the scapulohumeral reflex, respectively, according to one or more of the above The muscle stretch reflex measurement apparatus according to claim 1 or 3, wherein the myoelectric potential of the muscle corresponding to each reflex is measured by an electrode.   Stretching muscle corresponding to each reflex depending on when applied to the hammer hammer gastrocnemius reflex, biceps reflex, triceps reflex, brachial reflex, deltoid reflex, or scapulohumeral reflex, respectively 4. The muscle stretch reflex measuring apparatus according to claim 1, wherein the tapping force data by the reflex induction part is measured. For the time axis waveform and the Fourier transform waveform, store the predetermined value as a reference for each valid or invalid in the storage unit,
The analysis apparatus refers to the storage unit and compares the value obtained from the time axis waveform and the Fourier transform waveform related to the tapping force data to determine whether or not there is a mis-impact. 4. The muscle stretch reflex measurement apparatus according to any one of 3 above. (1) About the time axis waveform, any one or a plurality of predetermined items among the action time, the inclination of the tapping force waveform at the action time, and the inclination of the tapping force waveform at the reaction time, and
(2) For the Fourier transform waveform, store one or more predetermined items in the storage unit among the amplitude spectrum in the low frequency region of about several Hz and the level of about 200 to 300 Hz,
The analysis apparatus refers to the storage unit, compares the stored items with values obtained from the time axis waveform and the Fourier transform waveform related to the tapping force data, and determines whether or not there is a mis-impact. The muscle stretch reflex measuring apparatus according to any one of claims 1 to 3.   The muscle according to any one of claims 1 to 3, wherein when the analyzer determines that there is no muscle contraction before the measurement, the analyzer further displays an instruction for tapping measurement with a tapping hammer on the display unit. Stretch reflection measuring device.   4. The display according to claim 1, wherein when the analyzer determines that there is muscle contraction before measurement, the analyzer further displays a display for instructing the muscle to relax. 5. Muscle stretch reflex measuring device. The electromyograph further comprises:
Means for measuring the resistance between the electrode and the skin;
If the resistance is stronger than a predetermined value, the analysis device comprises means for outputting data indicating that,
4. The muscle stretch reflex measurement according to claim 1, wherein when the output is received, the analysis apparatus displays a display instructing a treatment for reducing the re-stretching of the electrode or reducing skin resistance on the display unit. apparatus.

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