CN107137081A - Muscle transient equilibrium detecting system - Google Patents

Abstract

In order to avoid the inability to automatically and flexibly adjust the detection method and its corresponding detection system for individual differences in the existing art of muscle state detection methods and corresponding detection systems, especially the poor detection accuracy makes it unsuitable for judging the balance of muscle state problem, the present invention provides a balance detection system in the process of muscle rehabilitation, including: a first myoelectric response information acquisition unit, used to detect at the first position the first Myoelectric response information; the second myoelectric response information acquisition unit is used to detect the second myoelectric response information obtained with the second detection signal as an excitation signal at a second position, and the second position is relative to the center line of the human body and The first position symmetry; the balance detection unit, used to compare the first myoelectric response information and the second myoelectric response information; the voice output unit, used to play the comparison result of the balance detection unit in the form of voice.

Description

Muscle transition balance detection system

technical field

The invention relates to the technical field of limb rehabilitation detection, and more specifically, to a muscle transition balance detection system.

Background technique

The method of amplifying, displaying and recording the bioelectrical activity of single or multiple muscle cells in various functional states, and analyzing the single or overall pattern of myoelectricity to diagnose diseases and evaluate nerve and muscle functions is called myoelectricity. Figure inspection method.

When the motor nerve cells or fibers are excited, the excitation conducts to the distal end through the motor end plate to excite the muscle fibers, resulting in muscle contraction and potential changes. This potential change is the source of the electromyogram. The potential change time limit of a muscle fiber is about 3ms. However, the potential change time generated by the motor unit of the EMG recorded by the needle electrode is longer than this. This is because after the nerve fiber enters the muscle, it is demyelinated and branches to control each muscle fiber. The distance from the branch point to each muscle fiber is different, and the time of excitation conduction is different. Therefore, the time of each muscle fiber excitation is different, which causes the synthesis of the entire motor unit. The time of the potential is dispersed and the time limit is extended.

When the peripheral nerve is damaged, its fibers undergo Wallerian degeneration, which develops toward the distal end at a speed of about 1 mm per hour until the motor end plate. At this time, the muscle fibers originally controlled by it become denervated muscle fibers. Damaged nerve fibers may regenerate and control their original jurisdiction muscle fibers, and the regeneration rate is about 1-3mm per day. In the early stage of nerve regeneration, the function is not completely normal, the excitation conduction velocity is slow, and the amplitude of motor unit activity potential is low. Denervated muscle fibers may also be innervated by normal or other regenerated nerve fiber lateral sprouts, the range of new motor units is enlarged, the amplitude and duration of excitatory potentials are increased, and even the duration is increased to the phenomenon of satellite potentials and axonal reflexes.

Surface electromyography (sEMG) is the electrical potential measured at the skin surface of the muscle. Through the processing of amplification, filtering and sampling, the sEMG can be adjusted to a suitable data segment, and then feature extraction can be performed using data processing technology. Using the classifier to perform pattern recognition on the extracted features can determine the state of human muscles, including what kind of action the muscles are performing and whether the muscles are in a state of fatigue. To determine what kind of action the muscles are performing, the exoskeleton device can be controlled through sEMG. It is also possible to use virtual reality technology to control the equipment in the virtual scene. Judging whether the muscles are in a state of fatigue is of great significance for judging the working state of the human body, especially for athletes or workers working at heights.

However, the prior art still lacks an accurate detection method for muscle rehabilitation, such as recovery of explosive force. Although, for example, Chinese invention patent publication number: CN105361880A, publication date: March 2, 2016, name: recognition system and method for muscle movement events. The invention discloses a system and method for identifying muscle movement events. The system is composed of a signal acquisition module, a signal processing module and a signal recognition module composed of an EMG acquisition module and an EEG acquisition module. The method of comprehensive analysis of electromyographic signals and EEG signals includes the following steps: collecting analog signals of muscle activity and analog signals of brain activity; processing the collected signals and performing event detection; performing analog recognition and marking on detected events Classification. The invention can efficiently mark effective myoelectric signals in the field of neurophysiological detection and diagnosis, and can accurately analyze and process the marked myoelectric and EEG signal events. However, the invention collects EMG signals and EEG signals at the same time, which not only increases the cost, but also increases the amount of calculation, which affects the real-time performance of the system's online recognition; what is more serious is that this method and its corresponding devices cannot be detected during the detection process. Improving detection accuracy for individual differences leads to poor practicability. Especially when judging whether two muscles located in symmetrical positions of the human body (symmetrical to the center line of the human body) have similar recovery degrees, the above-mentioned inaccuracy brings inconvenience to grasping the physical condition of the athlete or the recovery progress after injury.

Contents of the invention

In order to avoid the inability to automatically and flexibly adjust the detection method and its corresponding detection system for individual differences in the existing art of muscle state detection methods and corresponding detection systems, especially the poor detection accuracy makes it unsuitable for judging the balance of muscle state problem, the present invention provides the following technical solutions. The rehabilitation state in the present invention is consistent with the definition of muscle health in the prior art, and mainly refers to the state and degree of muscle recovery to the health standard in relevant national standards and regulations after stretching, twisting and other injuries.

A balance detection system in the process of muscle rehabilitation, which is used to monitor different positions (generally referred to relative to the human body) during the transition to the normal state before physical injury to the muscle Centerline symmetric positions, such as left arm biceps and right arm biceps), muscle rehabilitation balance, including:

The first myoelectric response information acquisition unit is used to detect the first myoelectric response information obtained by using the first detection signal as the excitation signal at the first position;

The second myoelectric response information acquisition unit is used to detect the second myoelectric response information obtained by using the second detection signal as the excitation signal at the second position, and the second position is symmetrical to the first position relative to the centerline of the human body ;

a balance detection unit for comparing the first myoelectric response information with the second myoelectric response information;

The voice output unit is used to play the comparison result of the balance detection unit by voice.

Further, the first myoelectric response information acquisition unit includes:

The first collection subunit is used to collect a plurality of myoelectric information in the first collection mode at the first position;

The time determination subunit is used to determine the detection start time parameter of the monitoring excitation signal;

The first detection subunit is used to generate a first detection signal, and use the first detection signal as an excitation signal to detect myoelectric information in a second acquisition manner, and use the obtained myoelectric information as first myoelectric response information.

Further, the second myoelectric response information acquisition unit includes:

The second collection subunit is used to collect a plurality of myoelectric information in the first collection mode at the second position;

The time determination subunit is used to determine the detection start time parameter of the monitoring excitation signal;

The second detection subunit is configured to generate a second detection signal, and use the second detection signal as an excitation signal to detect the myoelectric information in a second acquisition manner, and use the obtained myoelectric information as the second myoelectric response information.

Further, the first acquisition subunit includes:

The zero-time excitation subunit is used to periodically send an excitation signal to the muscle tissue to be detected with the _first predetermined signal S1 as the excitation signal from the zero time at the _first position, and the amplitude of the first predetermined signal S1 is and frequency do not vary with time;

The first response signal determination subunit is used to collect the first response signal representing the myoelectric information in a time-domain acquisition manner, and determine whether the potential fluctuation of the received first response signal within the predetermined preparation time length T _preparation is smaller than the first response signal a threshold;

The first predetermined signal stop subunit is used to calculate the time length elapsed between this moment and the zero moment when the received first response signal is less than the first threshold within the predetermined preparation time length T _preparation potential fluctuation information is t1, and calculate the potential average A _t1 of the first predetermined signal S1 in time _t1 , stop the excitation of the first predetermined signal;

The first excitation subunit is configured to use the _second predetermined signal S2 as the excitation signal to periodically send the excitation signal to the muscle tissue to be detected from time t1, the amplitude of the _second predetermined signal S2 varies with time and the frequency does not change with time, and the amplitude and frequency of the second predetermined signal are greater than the first predetermined signal;

The second response signal acquisition subunit is used to acquire a second response signal representing myoelectric information in a time-domain acquisition manner;

The first amplitude value monitoring subunit is used to determine the time tk, and after the tk time, the mean value of the amplitude of the second response signal at the time t1 to (t1+tk) is A _tk ;

The second predetermined signal amplitude changing subunit is used to change the amplitude |S ₂ | of the second predetermined signal S ₂ from time (t1+tk) to: |S ₂ |=|S ₂ |×(1+ ((1+lnA _t1 )/(1+lnA _tk ));

The third response signal acquisition subunit is used to acquire a third response signal representing myoelectric information in a time-domain acquisition manner, and determine whether the received third response signal has a potential fluctuation less than the first within the predetermined preparation time length T _preparation . Two thresholds;

The second predetermined signal stop subunit is used to calculate the time elapsed between this moment and (t1+tk) moment when the received third response signal has potential fluctuation information less than the second threshold within the predetermined preparation time length T _preparation The length of time is t2, and the potential average value A _t2 of the second predetermined signal S2 within time _t2 is calculated, and the excitation of the second predetermined signal is stopped;

The third predetermined signal excitation subunit is used to start from the moment (t1+tk+t2), using the _third predetermined signal S3 as the excitation signal, to periodically send the excitation signal to the muscle tissue to be detected, the _third predetermined signal S3 The amplitude and frequency of the change with time, and the amplitude and frequency of the third predetermined signal are greater than the second predetermined signal;

The third response signal acquisition subunit is used to acquire a third response signal representing myoelectric information in a time-domain acquisition manner;

The second amplitude monitoring subunit is used to determine the time tj, and after the tj time, the mean value of the amplitude of the third response signal at the moment (t1+tk+t2) to (t1+tk+t2+tj) is A _tj .

Further, the second acquisition subunit includes:

The zero-time excitation subunit is used to periodically send an excitation signal to the muscle tissue to be detected with the _first predetermined signal S1 as the excitation signal from the zero time at the second position, and the amplitude of the _first predetermined signal S1 is and frequency do not vary with time;

The first response signal determination subunit is used to collect the first response signal representing the myoelectric information in a time-domain acquisition manner, and determine whether the potential fluctuation of the received first response signal within the predetermined preparation time length T _preparation is smaller than the first response signal a threshold;

The first predetermined signal stop subunit is used to calculate the time length elapsed between this moment and the zero moment when the received first response signal is less than the first threshold within the predetermined preparation time length T _preparation potential fluctuation information is t1, and calculate the potential average A _t1 of the first predetermined signal S1 in time _t1 , stop the excitation of the first predetermined signal;

The first excitation subunit is configured to use the _second predetermined signal S2 as the excitation signal to periodically send the excitation signal to the muscle tissue to be detected from time t1, the amplitude of the _second predetermined signal S2 varies with time and the frequency does not change with time, and the amplitude and frequency of the second predetermined signal are greater than the first predetermined signal;

The second response signal acquisition subunit is used to acquire a second response signal representing myoelectric information in a time-domain acquisition manner;

The first amplitude value monitoring subunit is used to determine the time tk, and after the tk time, the mean value of the amplitude of the second response signal at the time t1 to (t1+tk) is A _tk ;

The second predetermined signal amplitude changing subunit is used to change the amplitude |S ₂ | of the second predetermined signal S ₂ from time (t1+tk) to: |S ₂ |=|S ₂ |×(1+ ((1+lnA _t1 )/(1+lnA _tk ));

The third response signal acquisition subunit is used to acquire a third response signal representing myoelectric information in a time-domain acquisition manner, and determine whether the received third response signal has a potential fluctuation less than the first within the predetermined preparation time length T _preparation . Two thresholds;

The second predetermined signal stop subunit is used to calculate the time elapsed between this moment and (t1+tk) moment when the received third response signal has potential fluctuation information less than the second threshold within the predetermined preparation time length T _preparation The length of time is t2, and the potential average value A _t2 of the second predetermined signal S2 within time _t2 is calculated, and the excitation of the second predetermined signal is stopped;

The third predetermined signal excitation subunit is used to start from the moment (t1+tk+t2), using the _third predetermined signal S3 as the excitation signal, to periodically send the excitation signal to the muscle tissue to be detected, the _third predetermined signal S3 The amplitude and frequency of the change with time, and the amplitude and frequency of the third predetermined signal are greater than the second predetermined signal;

The third response signal acquisition subunit is used to acquire a third response signal representing myoelectric information in a time-domain acquisition manner;

The second amplitude monitoring subunit is used to determine the time tj, and after the tj time, the mean value of the amplitude of the third response signal at the moment (t1+tk+t2) to (t1+tk+t2+tj) is A _tj .

Further, the time determination subunit includes:

The fourth predetermined signal excitation subunit is used to use the _fourth predetermined signal S4 as the excitation signal to periodically send the excitation signal to the muscle tissue to be detected from the moment (t1+tk+t2+tj), the fourth predetermined signal The average amplitude of S ₄ is A _tj , and the frequency changes with time;

The fourth response signal acquisition subunit is used to acquire a fourth response signal representing myoelectric information in a frequency-domain acquisition manner, and determine whether the received fourth response signal has a spectral density less than the first in the predetermined preparation frequency range W _preparation Three thresholds;

The fourth predetermined signal stop subunit is used to calculate the current moment and (t1+tk+t2+ _tj ) The length of time elapsed between moments is t3, and the average power P ₁ of the fourth predetermined signal S ₄ within time t3 is calculated, and the excitation of the fourth predetermined signal is stopped;

The fifth predetermined signal excitation subunit is used to start from the time (t1+tk+t2+tj+t3), using the _fifth predetermined signal S5 as the excitation signal to periodically send the excitation signal to the muscle tissue to be detected, the fifth The amplitude of the predetermined signal S5 varies with time and the frequency varies with time, and the amplitude of the _fifth predetermined signal is the same as that of the fourth predetermined signal, and the frequency is greater than that of the fourth predetermined signal;

The fifth response signal acquisition subunit is used to acquire the fifth response signal representing myoelectric information in a frequency domain acquisition mode;

The average power monitoring subunit is used to determine the time tf, and when the tf time passes, the fifth response signal is from (t1+tk+t2+tj+t3) to (t1+tk+t2+tj+t3+tf) The average power at the moment starts to be greater than P ₁ ;

The initial excitation time coefficient determination subunit is used to calculate the initial excitation time coefficient a=1/(1+(tf/((T ₃ +T ₅ )/2))), where T ₃ is the fifth predetermined signal The period of T ₅ is the period of the fifth predetermined signal.

Further, the first detection subunit includes:

The first detection signal generating subunit is configured to generate a signal having an average amplitude of _Atj and a frequency not less than the frequency of the fifth predetermined signal as the first detection signal, and periodically send the first detection signal to the muscle tissue to be detected ;

The full waveform acquisition subunit is used to collect the sixth response signal representing the electromyographic information in a full waveform form from the (1+a) ² ×T _detection time, and obtain the transient response signal and the steady state response signal at one time, wherein T _detection is the period of the first detection signal;

The transient and steady-state information acquisition subunit is used to amplify the first detection signal whenever the average power of the transient response signal is _an integer multiple of P1, and at the same time extract the amplitude of the steady-state response signal at the corresponding moment and the corresponding average power of the detection signal, and use the amplitude and average power as the first myoelectric response information.

Further, the second detection subunit includes:

The second detection signal generation subunit is configured to generate a signal having an average amplitude of _Atj and a frequency not less than the frequency of the fifth predetermined signal as a second detection signal, and periodically send the second detection signal to the muscle tissue to be detected ;

The full waveform acquisition subunit is used to collect the sixth response signal representing the electromyographic information in a full waveform form from the (1+a) ² ×T _detection time, and obtain the transient response signal and the steady state response signal at one time, wherein T _detection is the period of the second detection signal;

The transient and steady-state information acquisition subunit is used to amplify the second detection signal whenever the average power of the transient response signal is _an integer multiple of P1, and simultaneously extract the amplitude of the steady-state response signal at the corresponding moment and the corresponding average power of the detection signal, and use the amplitude and average power as the second myoelectric response information.

Further, the balance detection unit includes:

The curve obtaining subunit is used for the first myoelectric response information and the second myoelectric response information, respectively taking the amplitude of the steady-state response signal of each myoelectric response information and the corresponding average power of the detection signal as coordinate axes , to automatically obtain the plot point curve in the way of plot points;

A linearity calculation subunit, configured to calculate the linearity of the curve corresponding to the first myoelectric response information and the second myoelectric response information;

A variance calculation subunit for calculating the variance between the linearity of the curves corresponding to the first myoelectric response information and the second myoelectric response information;

The balance determination subunit is used to determine the muscle balance at the first position and the second position when the variance obtained by the variance calculation subunit is less than the preset variance.

Further, the amplification factor is 2 times each time the average power of the transient response signal is _an integer multiple of P1.

Further, the preset reference value is obtained based on empirical values, for example, based on a large amount of clinical data; the greater the amount of clinical data, the higher the reliability of the preset reference value.

It should be noted that, in the present invention, although the above-mentioned technical solution has the same or corresponding technical means in the first position and the second position, those skilled in the art should know that these same or corresponding units or subunits or technical means correspond to The technical features should be independent of the first position and the second position and should not interfere with or affect each other. For example, the first predetermined signal employed by the first location and the second location should be the same when each is first applied. In other words, the measurement order of the first position and the second position should not cause a difference in the results. Under the common sense premise that those skilled in the art should be familiar with without any doubt, technical characteristics such as terms, parameters and signals are in The excitation and detection corresponding to the first position and the second position are irrelevant to each other in all detection records, and the subunits and related technical features related to the first position and the second position are only related to other content related to the position, and not related to Anything in another location is irrelevant. The present application is only for the purpose of simplification of understanding and preventing those skilled in the art from having the problem of reading complexity for the two, and does not distinguish between the corresponding terms in the description of the first position and the second position-related unit or subunit.

The beneficial effects of the present invention are:

(1) The present invention adopts the time domain method to remove the impact of other signals in the body and outside the body before the detection to detect the muscle tissue, which reduces the noise that may occur in the detection;

(2) While reducing noise, the present invention is creatively based on the idea of "masking effect", and actively introduces low-frequency noise for detection (preferably using low-frequency impact signals or low-frequency pulse signals), so that the noise in detection is "controllable" ; That is, before the formal detection, by introducing different signals multiple times, shielding the high-frequency noise signal that the muscle tissue to be detected may be affected and produced by itself, so as to be more accurate than the high-frequency noise in the environment and the muscle tissue to be detected. The low-frequency "low-frequency signal" is a time-domain signal, which has been verified by the inventor for many times, and the high-frequency noise signal is greatly shielded, thereby improving the signal-to-noise ratio in the response signal when obtaining the response signal;

(3) By introducing signals of different amplitudes multiple times, the gradual adaptation between the muscle and the signal is achieved before the muscle state is detected, which reduces the unreliability of the response signal caused by the stress response of the muscle tissue to the formal detection signal;

(4) Determine the spectral characteristics of the appropriate detection signal through multiple detection methods in the frequency domain, to achieve gradual adaptation between the muscle and the signal before detecting the muscle state, and reduce the response signal caused by the stress response of the muscle tissue to the formal detection signal Unreliability;

(5) The time domain and frequency domain methods are used to detect separately, which reduces the training effect of the excitation signal on the muscles and the resulting inertia of the muscles in the process of obtaining the basic data required for the generation of the detection signal parameters, and improves the muscles. Response speed to detection signal;

(6) The present invention creatively adopts the full waveform recording method, which avoids the large calculation amount caused by the muscle tissue test through the time domain and frequency domain detection and excitation respectively in the prior art, and improves the detection efficiency;

(7) The present invention creatively adopts different collection methods to collect multiple times before the detection, and the method of determining the detection signal parameters can obtain the muscle state at one time during the official detection, and more quickly than the multiple detection methods of the prior art , and the mutual interference between multiple detections is small, and it is possible to ensure the detection accuracy without needing to pause for a long time during the detection and testing of different batches in the prior art.

Description of drawings

Fig. 1 shows a structural block diagram of a detection system according to the present invention.

detailed description

As shown in Fig. 1, according to a preferred embodiment of the present invention, the present invention provides a balance detection system in the process of muscle rehabilitation, which is used to receive physical damage to the muscles (such as excessive stretching, excessive twisting, etc.) During the transition to normal state before physical injury, monitor the muscle rehabilitation balance of different positions (generally refers to the position symmetrical with respect to the center line of the body, such as the biceps brachii of the left arm and the biceps brachii of the right arm), including:

The first myoelectric response information acquisition unit is used to detect the first myoelectric response information obtained by using the first detection signal as the excitation signal at the first position;

The second myoelectric response information acquisition unit is used to detect the second myoelectric response information obtained by using the second detection signal as the excitation signal at the second position, and the second position is symmetrical to the first position relative to the centerline of the human body ;

a balance detection unit for comparing the first myoelectric response information with the second myoelectric response information;

The voice output unit is used to play the comparison result of the balance detection unit by voice.

Preferably, the first myoelectric response information acquisition unit includes:

The first collection subunit is used to collect a plurality of myoelectric information in the first collection mode at the first position;

The time determination subunit is used to determine the detection start time parameter of the monitoring excitation signal;

The first detection subunit is used to generate a first detection signal, and use the first detection signal as an excitation signal to detect myoelectric information in a second acquisition manner, and use the obtained myoelectric information as first myoelectric response information.

Preferably, the second myoelectric response information acquisition unit includes:

The second collection subunit is used to collect a plurality of myoelectric information in the first collection mode at the second position;

The time determination subunit is used to determine the detection start time parameter of the monitoring excitation signal;

The second detection subunit is configured to generate a second detection signal, and use the second detection signal as an excitation signal to detect the myoelectric information in a second acquisition manner, and use the obtained myoelectric information as the second myoelectric response information.

Preferably, the first acquisition subunit includes:

The zero-time excitation subunit is used to periodically send an excitation signal to the muscle tissue to be detected with the _first predetermined signal S1 as the excitation signal from the zero time at the _first position, and the amplitude of the first predetermined signal S1 is and frequency do not vary with time;

The first response signal determination subunit is used to collect the first response signal representing the myoelectric information in a time-domain acquisition manner, and determine whether the potential fluctuation of the received first response signal within the predetermined preparation time length T _preparation is smaller than the first response signal a threshold;

The first predetermined signal stop subunit is used to calculate the time length elapsed between this moment and the zero moment when the received first response signal is less than the first threshold within the predetermined preparation time length T _preparation potential fluctuation information is t1, and calculate the potential average A _t1 of the first predetermined signal S1 in time _t1 , stop the excitation of the first predetermined signal;

The first excitation subunit is configured to use the _second predetermined signal S2 as the excitation signal to periodically send the excitation signal to the muscle tissue to be detected from time t1, the amplitude of the _second predetermined signal S2 varies with time and the frequency does not change with time, and the amplitude and frequency of the second predetermined signal are greater than the first predetermined signal;

The second response signal acquisition subunit is used to acquire a second response signal representing myoelectric information in a time-domain acquisition manner;

The first amplitude value monitoring subunit is used to determine the time tk, and after the tk time, the mean value of the amplitude of the second response signal at the time t1 to (t1+tk) is A _tk ;

The second predetermined signal amplitude changing subunit is used to change the amplitude |S ₂ | of the second predetermined signal S ₂ from time (t1+tk) to: |S ₂ |=|S ₂ |×(1+ ((1+lnA _t1 )/(1+lnA _tk ));

The third response signal acquisition subunit is used to acquire a third response signal representing myoelectric information in a time-domain acquisition manner, and determine whether the received third response signal has a potential fluctuation less than the first within the predetermined preparation time length T _preparation . Two thresholds;

The second predetermined signal stop subunit is used to calculate the time elapsed between this moment and (t1+tk) moment when the received third response signal has potential fluctuation information less than the second threshold within the predetermined preparation time length T _preparation The length of time is t2, and the potential average value A _t2 of the second predetermined signal S2 within time _t2 is calculated, and the excitation of the second predetermined signal is stopped;

The third predetermined signal excitation subunit is used to start from the moment (t1+tk+t2), using the _third predetermined signal S3 as the excitation signal, to periodically send the excitation signal to the muscle tissue to be detected, the _third predetermined signal S3 The amplitude and frequency of the change with time, and the amplitude and frequency of the third predetermined signal are greater than the second predetermined signal;

The third response signal acquisition subunit is used to acquire a third response signal representing myoelectric information in a time-domain acquisition manner;

The second amplitude monitoring subunit is used to determine the time tj, and after the tj time, the mean value of the amplitude of the third response signal at the moment (t1+tk+t2) to (t1+tk+t2+tj) is A _tj .

Preferably, the second acquisition subunit includes:

The zero-time excitation subunit is used to periodically send an excitation signal to the muscle tissue to be detected with the _first predetermined signal S1 as the excitation signal from the zero time at the second position, and the amplitude of the _first predetermined signal S1 is and frequency do not vary with time;

The first response signal determination subunit is used to collect the first response signal representing the myoelectric information in a time-domain acquisition manner, and determine whether the potential fluctuation of the received first response signal within the predetermined preparation time length T _preparation is smaller than the first response signal a threshold;

The first predetermined signal stop subunit is used to calculate the time length elapsed between this moment and the zero moment when the received first response signal is less than the first threshold within the predetermined preparation time length T _preparation potential fluctuation information is t1, and calculate the potential average A _t1 of the first predetermined signal S1 in time _t1 , stop the excitation of the first predetermined signal;

The first excitation subunit is configured to use the _second predetermined signal S2 as the excitation signal to periodically send the excitation signal to the muscle tissue to be detected from time t1, the amplitude of the _second predetermined signal S2 varies with time and the frequency does not change with time, and the amplitude and frequency of the second predetermined signal are greater than the first predetermined signal;

The second response signal acquisition subunit is used to acquire a second response signal representing myoelectric information in a time-domain acquisition manner;

The first amplitude value monitoring subunit is used to determine the time tk, and after the tk time, the mean value of the amplitude of the second response signal at the time t1 to (t1+tk) is A _tk ;

The second predetermined signal amplitude changing subunit is used to change the amplitude |S ₂ | of the second predetermined signal S ₂ from time (t1+tk) to: |S ₂ |=|S ₂ |×(1+ ((1+lnA _t1 )/(1+lnA _tk ));

The third response signal acquisition subunit is used to acquire a third response signal representing myoelectric information in a time-domain acquisition manner, and determine whether the received third response signal has a potential fluctuation less than the first within the predetermined preparation time length T _preparation . Two thresholds;

The second predetermined signal stop subunit is used to calculate the time elapsed between this moment and (t1+tk) moment when the received third response signal has potential fluctuation information less than the second threshold within the predetermined preparation time length T _preparation The length of time is t2, and the potential average value A _t2 of the second predetermined signal S2 within time _t2 is calculated, and the excitation of the second predetermined signal is stopped;

The third predetermined signal excitation subunit is used to start from the moment (t1+tk+t2), using the _third predetermined signal S3 as the excitation signal, to periodically send the excitation signal to the muscle tissue to be detected, the _third predetermined signal S3 The amplitude and frequency of the change with time, and the amplitude and frequency of the third predetermined signal are greater than the second predetermined signal;

The third response signal acquisition subunit is used to acquire a third response signal representing myoelectric information in a time-domain acquisition manner;

The second amplitude monitoring subunit is used to determine the time tj, and after the tj time, the mean value of the amplitude of the third response signal at the moment (t1+tk+t2) to (t1+tk+t2+tj) is A _tj .

Preferably, the time determination subunit includes:

The fourth predetermined signal excitation subunit is used to use the _fourth predetermined signal S4 as the excitation signal to periodically send the excitation signal to the muscle tissue to be detected from the moment (t1+tk+t2+tj), the fourth predetermined signal The average amplitude of S ₄ is A _tj , and the frequency changes with time;

The fourth response signal acquisition subunit is used to acquire a fourth response signal representing myoelectric information in a frequency-domain acquisition manner, and determine whether the received fourth response signal has a spectral density less than the first in the predetermined preparation frequency range W _preparation Three thresholds;

The fourth predetermined signal stop subunit is used to calculate the current moment and (t1+tk+t2+ _tj ) The length of time elapsed between moments is t3, and the average power P ₁ of the fourth predetermined signal S ₄ within time t3 is calculated, and the excitation of the fourth predetermined signal is stopped;

The fifth predetermined signal excitation subunit is used to start from the time (t1+tk+t2+tj+t3), using the _fifth predetermined signal S5 as the excitation signal to periodically send the excitation signal to the muscle tissue to be detected, the fifth The amplitude of the predetermined signal S5 varies with time and the frequency varies with time, and the amplitude of the _fifth predetermined signal is the same as that of the fourth predetermined signal, and the frequency is greater than that of the fourth predetermined signal;

The fifth response signal acquisition subunit is used to acquire the fifth response signal representing myoelectric information in a frequency domain acquisition mode;

The average power monitoring subunit is used to determine the time tf, and when the tf time passes, the fifth response signal is from (t1+tk+t2+tj+t3) to (t1+tk+t2+tj+t3+tf) The average power at the moment starts to be greater than P ₁ ;

The initial excitation time coefficient determination subunit is used to calculate the initial excitation time coefficient a=1/(1+(tf/((T ₃ +T ₅ )/2))), where T ₃ is the fifth predetermined signal The period of T ₅ is the period of the fifth predetermined signal.

Preferably, the first detection subunit includes:

The first detection signal generating subunit is configured to generate a signal having an average amplitude of _Atj and a frequency not less than the frequency of the fifth predetermined signal as the first detection signal, and periodically send the first detection signal to the muscle tissue to be detected ;

The full waveform acquisition subunit is used to collect the sixth response signal representing the electromyographic information in a full waveform form from the (1+a) ² ×T _detection time, and obtain the transient response signal and the steady state response signal at one time, wherein T _detection is the period of the first detection signal;

The transient and steady-state information acquisition subunit is used to amplify the first detection signal whenever the average power of the transient response signal is _an integer multiple of P1, and at the same time extract the amplitude of the steady-state response signal at the corresponding moment and the corresponding average power of the detection signal, and use the amplitude and average power as the first myoelectric response information.

Preferably, the second detection subunit includes:

The second detection signal generation subunit is configured to generate a signal having an average amplitude of _Atj and a frequency not less than the frequency of the fifth predetermined signal as a second detection signal, and periodically send the second detection signal to the muscle tissue to be detected ;

The full waveform acquisition subunit is used to collect the sixth response signal representing the electromyographic information in a full waveform form from the (1+a) ² ×T _detection time, and obtain the transient response signal and the steady state response signal at one time, wherein T _detection is the period of the second detection signal;

The transient and steady-state information acquisition subunit is used to amplify the second detection signal whenever the average power of the transient response signal is _an integer multiple of P1, and simultaneously extract the amplitude of the steady-state response signal at the corresponding moment and the corresponding average power of the detection signal, and use the amplitude and average power as the second myoelectric response information.

Preferably, the balance detection unit includes:

The curve obtaining subunit is used for the first myoelectric response information and the second myoelectric response information, respectively taking the amplitude of the steady-state response signal of each myoelectric response information and the corresponding average power of the detection signal as coordinate axes , to automatically obtain the plot point curve in the way of plot points;

A linearity calculation subunit, configured to calculate the linearity of the curve corresponding to the first myoelectric response information and the second myoelectric response information;

A variance calculation subunit for calculating the variance between the linearity of the curves corresponding to the first myoelectric response information and the second myoelectric response information;

The balance determination subunit is used to determine the muscle balance at the first position and the second position when the variance obtained by the variance calculation subunit is less than the preset variance.

Preferably, the amplification factor is 2 times each time the average power of the transient response signal is _an integer multiple of P1.

Preferably, the preset reference value is obtained based on empirical values, for example, based on a large amount of clinical data; the greater the amount of clinical data, the higher the reliability of the preset reference value.

The above description of the preferred embodiments of the present invention is for the purpose of illustration, and is not intended to limit the present invention to the disclosed form. It is possible to modify or change based on the above teachings or learning from the embodiments of the present invention. Yes, the embodiments are selected and described in order to explain the principles of the present invention and allow those skilled in the art to use the present invention in various embodiments for practical application. The technical idea of the present invention is intended to be determined by the claims and their equivalents.

Claims (10)

1. the balance detecting system during a kind of muscular recuperation, including：

First myoelectricity response information acquisition unit, for being detected in first position for being obtained by pumping signal of first detection signal The the first myoelectricity response message arrived；

Second myoelectricity response information acquisition unit, for being detected in the second place for being obtained using the second detection signal as pumping signal The the second myoelectricity response message arrived, the second place is relative to human body center line and first position symmetry；

Balance detection unit, for comparing the first myoelectricity response message and the second myoelectricity response message；

Voice-output unit, the comparative result for playing the balance detection unit in the way of voice.

2. detecting system according to claim 1, it is characterised in that the first myoelectricity response information acquisition unit bag Include：

First collection subelement, for gathering multiple myoelectric informations in first position with the first acquisition mode；

Moment determination subelement, the detection start time parameter for determining monitoring pumping signal；

First detection sub-unit, for generating first detection signal, and using first detection signal as pumping signal, with the second collection Mode detects myoelectric information, regard this obtained myoelectric information as the first myoelectricity response message.

3. detecting system according to claim 1 or 2, it is characterised in that the second myoelectricity response information acquisition unit Including：

Second collection subelement, for gathering multiple myoelectric informations in the second place with the first acquisition mode；

Moment determination subelement, the detection start time parameter for determining monitoring pumping signal；

Second detection sub-unit, signal is detected for generating second, and using the second detection signal as pumping signal, with the second collection Mode detects myoelectric information, regard this obtained myoelectric information as the second myoelectricity response message.

4. detecting system according to claim 2, it is characterised in that the first collection subelement includes：

Zero moment encourages subelement, in first position, from zero moment, with the first prearranged signals S₁It is fixed as pumping signal Phase sends pumping signal, the first prearranged signals S to musculature to be detected₁Amplitude and frequency do not change over time；

First response signal determination subelement, the first response signal of myoelectric information is represented for being gathered in time domain acquisition mode, And determine first response signal received whether in predetermined readiness time length T_PreparationInner potential fluctuation is less than the first threshold Value；

First prearranged signals stops subelement, for when first response signal received is in predetermined readiness time length T_PreparationWhen inner potential fluctuation information is less than first threshold, it is t1 to calculate the time span undergone between this moment and zero moment, and is counted Calculate the first prearranged signals S in time t1₁Current potential average value A_t1, stop the excitation of the first prearranged signals；

First excitation subelement, for since the t1 moment, with the second prearranged signals S₂As pumping signal, periodically to be detected Musculature sends pumping signal, the second prearranged signals S₂Amplitude change over time and frequency is not changed over time, and The amplitude and frequency of second prearranged signals are all higher than the first prearranged signals；

Second response signal gathers subelement, and the second response signal of myoelectric information is represented for being gathered in time domain acquisition mode；

First amplitude monitors subelement, and for determining time tk, after the tk times, the second response signal is at the t1 moment to (t1+ Tk) the amplitude average at moment is A_tk；

Second prearranged signals amplitude changes subelement, for the moment, changing the second prearranged signals S since (t1+tk)₂Amplitude | S₂| it is：|S₂|=| S₂|×(1+((1+lnA_t1)/(1+lnA_tk))；

3rd response signal gathers subelement, and the 3rd response signal of myoelectric information is represented for being gathered in time domain acquisition mode, And determine the 3rd response signal received whether in predetermined readiness time length T_PreparationInner potential fluctuation is less than the second threshold Value；

Second prearranged signals stops subelement, for when the 3rd response signal received is in predetermined readiness time length T_PreparationWhen inner potential fluctuation information is less than Second Threshold, calculating the time span that this moment and (t1+tk) undergo between the moment is T2, and calculate the second prearranged signals S in time t2₂Current potential average value A_t2, stop the excitation of the second prearranged signals；

3rd prearranged signals encourages subelement, for since (t1+tk+t2) the moment, with the 3rd prearranged signals S₃It is used as excitation letter Number, periodically send pumping signal, the 3rd prearranged signals S to musculature to be detected₃Amplitude change over time and frequency Change over time, and the amplitude and frequency of the 3rd prearranged signals are all higher than the second prearranged signals；

3rd response signal gathers subelement, and the 3rd response signal of myoelectric information is represented for being gathered in time domain acquisition mode；

Second amplitude monitors subelement, and for determining time tj, after the tj times, the 3rd response signal is in (t1+tk+ T2) the amplitude average at moment to (t1+tk+t2+tj) moment is A_tj。

5. detecting system according to claim 3, it is characterised in that the second collection subelement includes：

Zero moment encourages subelement, in the second place, from zero moment, with the first prearranged signals S₁It is fixed as pumping signal Phase sends pumping signal, the first prearranged signals S to musculature to be detected₁Amplitude and frequency do not change over time；

First response signal determination subelement, the first response signal of myoelectric information is represented for being gathered in time domain acquisition mode, And determine first response signal received whether in predetermined readiness time length T_PreparationInner potential fluctuation is less than the first threshold Value；

First prearranged signals stops subelement, for when first response signal received is in predetermined readiness time length T_PreparationWhen inner potential fluctuation information is less than first threshold, it is t1 to calculate the time span undergone between this moment and zero moment, and is counted Calculate the first prearranged signals S in time t1₁Current potential average value A_t1, stop the excitation of the first prearranged signals；

First excitation subelement, for since the t1 moment, with the second prearranged signals S₂As pumping signal, periodically to be detected Musculature sends pumping signal, the second prearranged signals S₂Amplitude change over time and frequency is not changed over time, and The amplitude and frequency of second prearranged signals are all higher than the first prearranged signals；

Second response signal gathers subelement, and the second response signal of myoelectric information is represented for being gathered in time domain acquisition mode；

First amplitude monitors subelement, and for determining time tk, after the tk times, the second response signal is at the t1 moment to (t1+ Tk) the amplitude average at moment is A_tk；

Second prearranged signals amplitude changes subelement, for the moment, changing the second prearranged signals S since (t1+tk)₂Amplitude | S₂| it is：|S₂|=| S₂|×(1+((1+lnA_t1)/(1+lnA_tk))；

3rd response signal gathers subelement, and the 3rd response signal of myoelectric information is represented for being gathered in time domain acquisition mode, And determine the 3rd response signal received whether in predetermined readiness time length T_PreparationInner potential fluctuation is less than the second threshold Value；

Second prearranged signals stops subelement, for when the 3rd response signal received is in predetermined readiness time length T_PreparationWhen inner potential fluctuation information is less than Second Threshold, calculating the time span that this moment and (t1+tk) undergo between the moment is T2, and calculate the second prearranged signals S in time t2₂Current potential average value A_t2, stop the excitation of the second prearranged signals；

3rd prearranged signals encourages subelement, for since (t1+tk+t2) the moment, with the 3rd prearranged signals S₃It is used as excitation letter Number, periodically send pumping signal, the 3rd prearranged signals S to musculature to be detected₃Amplitude change over time and frequency Change over time, and the amplitude and frequency of the 3rd prearranged signals are all higher than the second prearranged signals；

3rd response signal gathers subelement, and the 3rd response signal of myoelectric information is represented for being gathered in time domain acquisition mode；

Second amplitude monitors subelement, and for determining time tj, after the tj times, the 3rd response signal is in (t1+tk+ T2) the amplitude average at moment to (t1+tk+t2+tj) moment is A_tj。

6. the detecting system according to Claims 2 or 3, it is characterised in that the moment determination subelement includes：

4th prearranged signals encourages subelement, for from (t1+tk+t2+tj) the moment, with the 4th prearranged signals S₄It is used as excitation Signal, periodically sends pumping signal, the 4th prearranged signals S to musculature to be detected₄Average amplitude be A_tj, frequency with Time change；

4th response signal gathers subelement, and the 4th response signal of myoelectric information is represented for being gathered with frequency domain acquisition mode, And determine the 4th response signal received whether in predetermined preparation frequency range W_PreparationInterior spectral density is less than the 3rd threshold Value；

4th prearranged signals stops subelement, for when the 4th response signal received is in predetermined preparation frequency range W_PreparationWhen interior spectral density information is less than three threshold values, the time that this moment and (t1+tk+t2+tj) undergo between the moment is calculated long Spend for t3, and calculate the 4th prearranged signals S in time t3₄Mean power P₁, stop the excitation of the 4th prearranged signals；

5th prearranged signals encourages subelement, for since (t1+tk+t2+tj+t3) the moment, with the 5th prearranged signals S₅As Pumping signal, periodically sends pumping signal, the 5th prearranged signals S to musculature to be detected₅Amplitude change over time And frequency is changed over time, and the amplitude of the 5th prearranged signals is identical with the 4th prearranged signals, frequency is more than the 4th prearranged signals；

5th response signal gathers subelement, and the 5th response signal of myoelectric information is represented for being gathered with frequency domain acquisition mode；

Mean power monitors subelement, for determining time tf, and when by the tf time, the 5th response signal is in (t1+tk+ T2+tj+t3) mean power at moment to (t1+tk+t2+tj+t3+tf) moment starts to be more than P₁；

Excitation instant coefficient determination subelement is originated, for calculating starting excitation instant coefficient a=1/ (1+ (tf/ ((T₃+T₅)/ 2))), T₃For the cycle of the 5th prearranged signals, T₅For the cycle of the 5th prearranged signals.

7. detecting system according to claim 2, it is characterised in that first detection sub-unit includes：

First detection signal generates subelement, for generating there is average amplitude to be A_tj, frequency letter predetermined not less than the described 5th Number frequency signal as first detection signal, periodically send the first detection signal to musculature to be detected；

Full wave shape gathers subelement, for from (1+a)²×T_InspectionAt the moment, gathered in Full wave shape mode and represent the of myoelectric information Six response signals, it is disposable to obtain transient response signal and steady-state response signal, wherein T_InspectionFor the week of the first detection signal Phase；

Transient state obtains subelement with steady state information, for being P whenever the mean power of transient response signal₁Integral multiple when, amplification The first detection signal, while the amplitude and corresponding detection signal that extract the steady-state response signal at corresponding moment are put down Equal power, regard the amplitude and mean power as the first myoelectricity response message.

8. detecting system according to claim 3, it is characterised in that second detection sub-unit includes：

Second detection signal generation subelement, for generating there is average amplitude to be A_tj, frequency letter predetermined not less than the described 5th Number frequency signal as second detection signal, periodically to musculature to be detected send this second detection signal；

Full wave shape gathers subelement, for from (1+a)²×T_InspectionAt the moment, gathered in Full wave shape mode and represent the of myoelectric information Six response signals, it is disposable to obtain transient response signal and steady-state response signal, wherein T_InspectionFor the week of the described second detection signal Phase；

Transient state obtains subelement with steady state information, for being P whenever the mean power of transient response signal₁Integral multiple when, amplification The second detection signal, while the amplitude and corresponding detection signal that extract the steady-state response signal at corresponding moment are put down Equal power, regard the amplitude and mean power as the second myoelectricity response message.

9. detecting system according to claim 6, it is characterised in that the balance detection unit includes：

Curve obtains subelement, for for the first myoelectricity response message and the second myoelectricity response message, being rung respectively with each myoelectricity The amplitude and corresponding detection average power signal for answering the steady-state response signal of information are reference axis, in described point mode Automatically obtain described point curve；

Linearity computation subunit, the curve of the first myoelectricity response message and the second myoelectricity response message is corresponded to for calculating The linearity；

Variance computation subunit, the line for calculating the curve corresponding to the first myoelectricity response message and the second myoelectricity response message Variance between property degree；

Balance determination subelement, for determining to be in first when the variance that variance computation subunit is obtained is less than default variance Position and the muscle balance of the second place.

10. the detecting system according to claim 7 or 8, it is characterised in that the multiple of the amplification is every time when transient state is rung The mean power of induction signal is P₁Integral multiple when amplify 2 times.