CN110859619B - Device, system and method for acquiring abdominal electromyogram data - Google Patents
Device, system and method for acquiring abdominal electromyogram data Download PDFInfo
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Abstract
The invention discloses an abdominal electromyogram data acquisition device, an abdominal electromyogram data evaluation system and an abdominal electromyogram data evaluation method. The acquisition device includes: a plurality of first electrode pairs and first transmission channels; each set of first electrode pairs comprises a first positive electrode and a first negative electrode; the first negative electrodes are connected in parallel and serve as a first reference electrode; each group of first electrode pairs is connected with a myoelectricity testing instrument through a first transmission channel; the first electrode pairs are used for attaching the first positive electrodes to different muscle tissue body surfaces of the abdomen, and when the first reference electrodes are attached to the body surface of a first human body, the myoelectricity testing instrument can obtain first abdominal myoelectricity data. The invention sets the same reference points, and because the myoelectric data of different muscle tissues are simultaneously acquired, the efficiency of data acquisition is improved, the condition of inaccurate data caused by time difference is eliminated, and the accuracy of muscle function evaluation can be improved.
Description
Technical Field
The invention relates to the technical field of medical instruments, in particular to an acquisition device, an evaluation system and an evaluation method for abdominal electromyogram data.
Background
Currently, the detection of the functional state of the abdominal muscles is generally judged by the subjective feeling of a doctor. The subjective judgment mode cannot accurately judge the functional state of the muscle, and particularly, some diseases and muscle degeneration are not reflected on the surface, so that the treatment of a patient is delayed.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the defects in the prior art and provide the device, the system and the method for acquiring abdominal myoelectric data, which can accurately acquire the myoelectric data of abdominal muscles and provide quantitative reference for evaluating the muscle functions of abdominal muscles.
The invention solves the technical problems through the following technical scheme:
an apparatus for acquiring abdominal electromyographic data, the apparatus comprising: a plurality of first electrode pairs and first transmission channels;
each set of first electrode pairs comprises a first positive electrode and a first negative electrode; the first negative electrodes are connected in parallel and serve as a first reference electrode;
each group of first electrode pairs is connected with a myoelectricity testing instrument through a first transmission channel;
the first electrode pairs are used for attaching the first positive electrodes to different muscle tissue body surfaces of the abdomen, and when the first reference electrodes are attached to the body surface of a first human body, the myoelectricity testing instrument can obtain first abdominal myoelectricity data.
Preferably, the first positive electrode is attached to one side of the abdomen;
the acquisition apparatus further includes: a plurality of second electrode pairs and second transmission channels;
each set of second electrode pairs comprises a second positive electrode and a second negative electrode; the second negative electrodes are connected in parallel and are used as second reference electrodes;
each group of second electrode pairs is connected with the myoelectricity testing instrument through a second transmission channel;
the plurality of second electrode pairs are used for enabling the myoelectricity testing instrument to obtain second abdominal myoelectricity data when the second positive electrode is attached to the other side of the abdomen and the second reference electrode is attached to the body surface of a second human body;
the second positive electrodes and the first positive electrodes are symmetrically attached to the body surface of the abdominal muscle tissue one by one relative to the midline of a human body;
the first human body surface and the second human body surface are symmetrical relative to the midline of the human body.
Preferably, the number of the first electrode pairs and the second electrode pairs is 6;
the 6 first positive electrodes are respectively used for being attached to the upper abdominal rectus muscle, the middle abdominal rectus muscle, the lower abdominal rectus muscle, the abdominal external oblique muscle, the abdominal internal oblique muscle and the abdominal transverse muscle of the left abdomen;
the 6 second positive electrodes are respectively used for being attached to the upper abdominal rectus muscle, the middle abdominal rectus muscle, the lower abdominal rectus muscle, the abdominal external oblique muscle, the abdominal internal oblique muscle and the abdominal transverse muscle of the right abdomen.
An evaluation system of abdominal electromyography data, which comprises an electromyography testing instrument, a controller and any one of the above devices for acquiring abdominal electromyography data;
the myoelectricity testing instrument is electrically connected with the controller and the acquiring device respectively;
the controller is used for generating an evaluation result according to the abdominal myoelectricity data acquired by the myoelectricity testing instrument.
Preferably, the abdominal myoelectric data includes at least one of the following status data: myoelectric data in a pre-resting state, myoelectric data in a moving state and myoelectric data in a post-resting state.
Preferably, the status data comprises the following parameters: amplitude, frequency;
the controller includes: a judgment unit and a result generation unit; the judging unit is electrically connected with the result generating unit;
the judging unit is used for judging whether the amplitude and/or the frequency are within the range of respective state threshold values;
the result generating unit is used for generating the evaluation result according to the judgment result.
Preferably, the controller further comprises: a data processing unit;
the data processing unit is used for carrying out high-pass filtering processing and/or power frequency filtering processing on the abdominal electromyogram data.
Preferably, the evaluation system further comprises: a display electrically connected with the controller;
when the acquisition device further comprises second electrode pairs, each group of first electrode pairs and each group of second electrode pairs are provided with a display;
the controller is used for controlling the display parameters of the display according to the numerical value of the state data.
An evaluation method of abdominal electromyography data, the evaluation method comprising:
acquiring abdominal electromyogram data by using any one of the above abdominal electromyogram data acquisition devices;
and generating an evaluation result according to the abdominal electromyography data.
Preferably, the abdominal myoelectric data includes at least one of the following status data: myoelectric data in a pre-resting state, myoelectric data in a moving state and myoelectric data in a post-resting state.
Preferably, the status data includes the following parameters: amplitude, frequency;
generating an evaluation result according to the abdominal electromyography data, which specifically comprises the following steps:
judging whether the amplitude and/or the frequency are within the range of respective state threshold values;
and generating the evaluation result according to the judgment result.
Preferably, before the step of determining whether the amplitude and/or the frequency are within the respective state threshold ranges, the method further includes:
and carrying out high-pass filtering processing and/or power frequency filtering processing on the abdominal electromyographic data.
Preferably, the evaluation method further comprises:
when the acquisition device further comprises second electrode pairs, arranging a display on each group of first electrode pairs and each group of second electrodes;
and controlling the display parameters of the display according to the numerical value of the state data.
The positive progress effects of the invention are as follows: the same reference points are set, and because the electromyographic data of different muscle tissues are simultaneously acquired, the data acquisition efficiency is improved, the condition of inaccurate data caused by time difference is eliminated, the quantitative evaluation of the muscle function is realized through the acquired electromyographic data, and the accuracy of the muscle function evaluation can be improved.
Drawings
Fig. 1 is a schematic block diagram of an evaluation system for abdominal electromyography data according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of an apparatus for acquiring abdominal electromyogram data in fig. 1.
Fig. 3 is a flowchart of an evaluation method of abdominal electromyography data according to an embodiment of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
An embodiment of the present invention provides an evaluation system for abdominal myoelectric data, as shown in fig. 1, the evaluation system for abdominal myoelectric data includes a myoelectric testing instrument 1, an abdominal myoelectric data obtaining device 2 and a controller 3. The myoelectricity testing instrument 1 is respectively and electrically connected with the controller 3 and the acquisition device 2. Specifically, the controller 3 includes: a judging unit 31, a result generating unit 32, and a data processing unit 33. The determination unit 31 is electrically connected to the result generation unit 32 and the data processing unit 33, respectively.
When the acquisition device is connected to the myoelectricity testing instrument, and the electrodes of the acquisition device are attached to the body surface of abdominal muscle tissue, the myoelectricity testing instrument can acquire abdominal myoelectricity data, and the controller can generate and output an evaluation result of abdominal muscle state according to the abdominal myoelectricity data acquired by the myoelectricity testing instrument.
Specifically, as shown in fig. 2, the acquisition device of the present embodiment includes a plurality of first electrode pairs 21 and a first transmission channel 22. Each set of first electrode pairs includes a first positive electrode and a first negative electrode. All the first negative electrodes are connected in parallel and used as first reference electrodes. Each group of the first electrode pairs 21 is connected with the myoelectricity testing instrument 1 through a first transmission channel 22. During testing, the plurality of first positive electrodes are attached to different muscle tissue body surfaces of the abdomen, and the first reference electrode is attached to a first human body surface.
In order to realize the overall evaluation of the abdominal muscles, it is necessary to acquire myoelectric data of the upper abdominal rectus muscle, the middle abdominal rectus muscle, the lower abdominal rectus muscle, the abdominal external oblique muscle, the abdominal internal oblique muscle, and the abdominal transverse muscle, and therefore the number of the first electrode pairs needs to be set to 6 groups. For example, when evaluating the muscles on the left side of the abdomen, 6 first positive electrodes were attached to the rectus abdominis, oblique external abdominis, oblique internal abdominis and transverse abdominis of the left abdomen with silver chloride, respectively. Because the human body has less muscle tissues at the convex part of the hip bone, the first reference electrode is preferably attached to the human body surface at the convex part of the hip bone in order to reduce the interference of electromyographic signals of other muscles. Before the electrodes are placed, the belly of a human body to be tested can be slightly polished to remove the cuticle, and the human body can be wiped by alcohol or isopropanol to reduce the contact impedance of the surface of the human body so as to improve the quality of signals.
After the acquisition device is connected with a myoelectricity testing instrument and the electrode position is placed, the test can be carried out: starting an instrument, firstly detecting whether signals of all channels are normal or not, and acquiring myoelectric data of a human body when all channels are normal. In order to evaluate the function of the abdominal muscles in different states, the abdominal myoelectricity test is covered, and the state data comprises: data of three states of pre-resting state, moving state and post-resting state. Namely acquiring the electromyographic data of the human body in three states of a motion state, a pre-resting state and a post-resting state. The front resting state refers to a state that a person lies flat and quiet before exercising. The back resting state refers to a state of resting and lying down after the person exercises. The exercise state refers to the state of the person lifting the upper body and the abdominal muscles moving.
Evaluating abdominal surface myoelectricity requires special movements of the intended test subject. To cover the various states mentioned above, we propose an action flow for abdominal testing:
before resting state measurement: the tested person needs to lie on the hard board bed to keep a relaxed state, and the tested person keeps the relaxed lying state for 60s.
During the motion state measurement: keeping the lower half of the tested person still, straightening the back, lifting the upper half of the tested person, forming an angle of 30 degrees with the horizontal plane (straightening the back, raising the head and forming an angle of 30 degrees with the horizontal plane, and exerting force on abdominal wall muscles to the maximum position), tightening abdominal muscles as much as possible, simultaneously relaxing hand muscles as much as possible, keeping for a period of time (for example, 10 s), and acquiring the first abdominal electromyographic data (including electromyographic data of 6 muscle tissues) under the exercise state in the period. In the motion state, the first abdominal electromyographic data comprises parameters such as average amplitude, peak value and frequency distribution of the electromyographic signals.
And when post-resting state measurement: the human subject is allowed to lie flat for a period of time (e.g., 30 s) during which the abdominal muscles are relaxed, during which first abdominal myoelectric data in a resting state is acquired. In a resting state, the first abdominal electromyographic data comprises parameters such as average amplitude, peak value, frequency distribution and abnormal muscle activity signals of the electromyographic signals.
After a time interval (e.g., 15 s), the above-described actions are repeated. A plurality of groups of first abdominal myoelectric data in three states can be acquired, and the data processing module can evaluate the muscle function of the left abdominal region according to the plurality of groups of myoelectric data. The test method has the advantages that in the lying state, the abdominal muscles of a person can be kept in a relaxed state, and meanwhile, in the same posture state, the upper half of the body is lifted, so that the abdomen can exert force fully. This simplifies the overall test and also reduces external disturbances, such as those caused by other muscle activities, to the overall test procedure. If the myoelectric data of the 6 muscle tissues are within the threshold range, judging that the muscle functions are normal, otherwise, possibly causing diseases on the muscle functions, and generating a test report. It should be noted that the more data is acquired, the more accurate the evaluation result is.
In this embodiment, the acquiring device further comprises a plurality of second electrode pairs 23 and a second transmission channel 24. Each set of second electrode pairs includes a second positive electrode and a second negative electrode. All the second negative electrodes are connected in parallel and used as second reference electrodes. Each group of the second electrode pairs 23 is connected with the myoelectricity testing instrument through a second transmission channel 24. During testing, the plurality of second electrodes are attached to different muscle tissue body surfaces of the abdomen and are symmetrically attached to the first positive electrodes one by one relative to the midline of the human body, the second reference electrodes are attached to the second human body surface, and the first human body surface and the second human body surface are symmetric relative to the midline of the human body.
The acquisition device of the embodiment can simultaneously acquire the electromyographic data of the muscles on the left side and the right side of the abdomen. During testing, the first positive electrode is attached to one side of the abdomen, the second positive electrode is attached to the other side of the abdomen, and the second positive electrode and the first positive electrode are symmetrical to each other one by one relative to the center line of a human body. That is, if the number of the first electrode pairs is 6, the number of the second electrode pairs is 6, and 6 first positive electrodes are respectively attached to the upper abdominal rectus muscle, the middle abdominal rectus muscle, the lower abdominal rectus muscle, the outer abdominal oblique muscle, the inner abdominal oblique muscle and the transverse abdominal muscle of the left abdomen by silver chloride, correspondingly, 6 second positive electrodes are respectively attached to the upper abdominal rectus muscle, the middle abdominal rectus muscle, the lower abdominal rectus muscle, the abdominal external oblique muscle, the abdominal internal oblique muscle and the abdominal transverse muscle of the right abdomen by silver chloride. The second reference electrode and the first reference electrode are symmetrically attached to the body surface of the human body relative to the midline of the human body, for example, the first reference electrode is positioned on the body surface of the convex part of the hip bone at the left side, and the second reference electrode is positioned on the body surface of the human body of the convex part of the hip bone at the right side.
Therefore, the electromyography test instrument can simultaneously obtain electromyography data (first electromyography data and second electromyography data) of 12 channels, and the controller 3 can evaluate the muscle function of the abdomen according to multiple groups of electromyography data to generate an evaluation report. Because the process of simultaneously acquiring the electromyogram data of 12 channels is the same as the process of simultaneously acquiring the electromyogram data of 6 channels, the electromyogram data of 12 channels is not described in detail herein. Similarly, in the exercise state, the second abdominal electromyographic data includes parameters such as the average amplitude, the peak value, and the frequency distribution of the electromyographic signal. In a resting state, the second abdominal electromyographic data includes parameters such as average amplitude, peak value, frequency distribution of the electromyographic signals and abnormal muscle activity signals.
In this embodiment, the same reference points are set, and since the myoelectric data of different muscle tissues are acquired simultaneously, the efficiency of data acquisition is improved, the situation that the data is inaccurate due to time difference is eliminated, and the accuracy of muscle function assessment can be improved. In this embodiment, by comparing the myoelectric data of the abdominal muscles on the left and right sides, the case of inaccurate evaluation due to human body difference is eliminated, and the evaluation accuracy can be further improved.
The following explains an evaluation process of the evaluation system:
and the data processing unit of the controller performs high-pass filtering processing and/or power frequency filtering processing on the acquired abdominal electromyogram data of the 12 channels. Before electromyographic data are analyzed, low-frequency interference caused by wire movement in a test environment, 50Hz (60 Hz) power frequency interference from a power grid and the like are filtered.
The judgment unit judges whether the amplitude and/or frequency of the processed abdominal electromyography data are within the respective state threshold ranges.
The specific evaluation procedure is as follows:
(1) Analyzing the functional state of each abdominal muscle under three states respectively
Pre-resting state: if the average amplitude is more than 2 muV, the muscle self-discharge is increased; if the average frequency is more than 20Hz, the muscle is in a tense state, and the states of abdominal muscle spasm and the like can exist;
the movement state is as follows: if the average amplitude is less than 35 μ V, the muscle strength is insufficient and needs to be strengthened; if the average frequency is less than 30Hz, the muscle is easy to fatigue and weak in endurance;
post-rest state: if the average amplitude is greater than 2 muV or the average frequency is greater than 20Hz, the recovery ability of the muscle after movement is reduced.
(2) Analyzing muscle coordination based on muscle part division
Especially emphasizes the muscle coordination analysis in the motion state, the myoelectric signal amplitude of each muscle has different specified values in the specified motion state, for example, if the mean fluctuation amplitude of the motion state of the rectus abdominis should exceed 150 μ V, the mean fluctuation amplitude of the oblique abdominis should not be lower than 80 μ V, and the transverse abdominis should not be lower than 50 μ V; in the action process, the participation degree of each muscle is different, and different electric signal amplitudes of each muscle are evaluated, so that whether each muscle works normally or not can be obtained, and the muscle plays a role in the action process; under the condition that the above conditions are not met, the tested person can be guided to focus on improving the muscle parts when the coordination of different muscles of the tested person part is in a problem or the exercise force is incorrect.
(3) Left and right side equilibrium analysis.
On the whole muscle division, the left muscle component and the right muscle component are divided, and due to improper exercise or strain conditions, the condition of left-right imbalance of the human body needs to be identified so as to guide the tested person to adjust exercise or change improper habits;
within this evaluation term, a numerical gap ratio y of the left and right sides is set, which should not exceed a set value x, and based on the actual value of y, the ranking is performed as follows:
when (y-x) >0 and (y-x) <10, the muscle is slightly damaged, and the user needs to be guided to adjust and change the habit at this time;
when (y-x) >10 and (y-x) <30, the muscle damage is defined to be serious, and measures such as correction and the like should be performed periodically by means of instruments and the like;
when (y-x) >30, muscle damage is defined as severe, further examination and testing should be advised.
The result generating unit generates an evaluation result according to the judgment result of the judging unit.
In order to make the test executor more intuitively judge and draw a conclusion, the display mode is simplified in this embodiment, and the evaluation system further includes: and the display is electrically connected with the controller. Each group of first electrode pairs and each group of second electrode pairs are provided with a display; the controller is used for controlling the display parameters of the display according to the numerical value of the state data. Display parameters such as brightness, color, etc. of the display. For example, under three different exercise states, the obtained electromyographic data is subjected to numerical grade division, and then the range of the electromyographic signal is represented by colors such as green, light green, yellow and red according to the range of the numerical value, so that a tester can visually see the result.
Therefore, the evaluation system of the abdominal electromyogram data of the embodiment can comprehensively evaluate the functional state of the abdominal muscles, score the overall state of the abdominal muscles and quantify the muscle functional state.
The embodiment of the invention also provides an evaluation method of the abdominal electromyogram data, which is realized by using the acquisition device of the embodiment of the invention.
As shown in fig. 3, the evaluation method of the present embodiment includes:
101, when the first positive electrode is attached to different muscle tissue body surfaces of the abdomen and the first reference electrode is attached to the body surface of a human body, acquiring first abdominal myoelectric data.
In this embodiment, 6 first positive electrodes are respectively attached to the upper rectus abdominis, the middle rectus abdominis, the lower rectus abdominis, the external oblique abdominis, the internal oblique abdominis, and the transverse abdominis of the left (or right) abdomen.
The step of acquiring the first abdominal electromyogram data specifically comprises the following steps:
the method comprises the steps of respectively obtaining first abdominal electromyogram data of a human body in a front resting state, a transportation dynamic state and a back resting state.
During the motion state measurement: the lower half of the human subject is kept still, the back is straightened, the upper half of the human subject is lifted, the abdominal muscles are tightened as much as possible, meanwhile, the hand muscles are relaxed as much as possible, and the human subject is kept for a period of time (for example, 5 s), and the first abdominal electromyographic data (including electromyographic data of 4 muscle tissues) in the exercise state is acquired in the period of time. In a motion state, the first abdominal electromyography data comprises parameters such as average amplitude, peak value and frequency distribution of the electromyography signals.
At rest state measurement: the human subject is allowed to lie flat, the abdominal muscles are relaxed, and first abdominal myoelectric data in a resting state are acquired during the period. In a resting state, the first abdominal electromyographic data comprises parameters such as average amplitude, peak value, frequency distribution and abnormal muscle activity signals of the electromyographic signals.
And 102, judging whether the frequency of acquiring the first abdominal electromyographic data is equal to n or not.
If yes, step 103 is executed. If no, the process returns to step 101.
Wherein n can be set according to actual requirements, for example, n =3. It should be noted that the more the electromyographic data is, the more accurate the evaluation result is.
And 103, generating an evaluation result according to the n groups of first abdominal electromyographic data.
It should be noted that the two first abdominal myoelectric data acquisitions are preferably set for a time interval, for example, 15s. After n groups of first abdominal electromyographic data in two states are obtained, the muscle function of the left (or right) abdominal part can be evaluated according to the n groups of electromyographic data, if the electromyographic data of 6 muscle tissues are within the threshold range, the muscle function can be judged to be normal, otherwise, the muscle function possibly has a disease, and a test report is generated.
In the embodiment, the same reference points are set, and because the myoelectric data of different muscle tissues are acquired simultaneously, the data acquisition efficiency is improved, the condition of inaccurate data caused by time difference is eliminated, and the evaluation accuracy can be improved.
In this embodiment, the myoelectric data of the muscles on the left and right sides of the abdomen can be acquired simultaneously. At this time, 6 first positive electrodes are required to be respectively attached to the upper abdominal rectus muscle, the middle abdominal rectus muscle, the lower abdominal rectus muscle, the abdominal external oblique muscle, the intra-abdominal oblique muscle and the transverse abdominal muscle of the left abdomen, 6 second positive electrodes are respectively attached to the upper abdominal rectus muscle, the middle abdominal rectus muscle, the lower abdominal rectus muscle, the abdominal external oblique muscle, the intra-abdominal oblique muscle and the transverse abdominal muscle of the right abdomen, the first reference electrode is attached to the body surface of the left hip bone bulge, and the second reference electrode is attached to the body surface of the right hip bone bulge.
Step 101 further comprises:
and when the second positive electrode is attached to the other side of the abdomen and the second reference electrode is attached to the body surface of a second human body, acquiring second abdominal myoelectric data.
Thus, n sets of first abdominal myoelectric data and n sets of second abdominal myoelectric data may be acquired simultaneously. In step 103, the muscle function of the abdomen is evaluated according to the n groups of first abdominal electromyography data and the n groups of second abdominal electromyography data.
Wherein the first abdominal electromyographic data and the second abdominal electromyographic data comprise at least one of the following parameters: mean amplitude, peak value, frequency distribution of the electromyographic signals, and abnormal muscle activity signals.
Specifically, step 103 includes:
and 103-1, carrying out high-pass filtering processing and/or power frequency filtering processing on the abdominal electromyographic data.
So as to filter low-frequency interference caused by wire movement in the test environment, 50Hz (60 Hz) power frequency interference from the power grid and the like.
And 103-2, judging whether the amplitude and/or the frequency are within the range of the respective state threshold values.
The specific evaluation procedure is as follows:
(1) Analyzing the functional state of each abdominal muscle under three states respectively
Pre-resting state: if the average amplitude is more than 2 muV, the muscle self-discharge is increased; if the average frequency is more than 20Hz, the muscle is in a tense state, and states such as abdominal muscle spasm and the like may exist;
the movement state is as follows: if the average amplitude is less than 35 μ V, the muscle strength is insufficient and needs to be strengthened; if the average frequency is less than 30Hz, the muscle is easy to fatigue and weak in endurance;
pre-resting state: if the average amplitude is greater than 2 muV or the average frequency is greater than 20Hz, the recovery ability of the muscle after movement is reduced.
(2) Analyzing muscle coordination based on muscle part division
Especially emphasizes the muscle coordination analysis in the motion state, the myoelectric signal amplitude of each muscle has different specified values in the specified motion state, for example, if the mean fluctuation amplitude of the motion state of the rectus abdominis should exceed 150 μ V, the mean fluctuation amplitude of the oblique abdominis should not be lower than 80 μ V, and the transverse abdominis should not be lower than 50 μ V; in the action process, the participation degree of each muscle is different, and different electric signal amplitudes of each muscle are evaluated, so that whether each muscle works normally or not can be obtained, and the muscle plays a role in the action process; under the condition that the above conditions are not met, the tested person can be guided to focus on improving the muscle parts when the coordination of different muscles of the tested person part is in a problem or the exercise force is incorrect.
(3) Left and right side balance analysis.
In the whole muscle division, the left muscle component and the right muscle component are divided, and the condition of unbalanced left and right of the human body needs to be identified under the conditions of improper exercise or strain so as to guide the tested person to adjust exercise or change improper habits;
within this evaluation term, a numerical gap ratio y on the left and right sides is set, which should not exceed a set value x, and the ranking is performed according to the actual value of y as follows:
when (y-x) >0 and (y-x) <10, the muscle is slightly damaged, and the user needs to be guided to adjust and change the habit at this time;
when (y-x) >10 and (y-x) <30, the muscle damage is defined to be serious, and measures such as correction and the like should be performed periodically by means of instruments and the like;
when (y-x) >30, the muscle damage is defined as severe, further examination and testing should be recommended.
And 103-3, generating an evaluation result according to the judgment result.
In order to enable the test executor to judge and draw a conclusion more intuitively, the display mode is simplified in the embodiment, and the evaluation method further includes:
disposing a display on each set of first electrode pairs and each set of second electrodes;
and controlling the display parameters of the display according to the numerical value of the state data.
Among them, display parameters such as brightness, color, etc. of the display. For example, under three different exercise states, the acquired electromyographic data is subjected to numerical grade division, and then the range of the electromyographic signal is represented by green, light green, yellow, red and other colors according to the numerical range, so that a tester can visually see the result.
Therefore, the function state of the abdominal muscles is comprehensively evaluated, the overall state of the abdominal muscles is scored, and the muscle function state is quantified.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (12)
1. An apparatus for acquiring abdominal electromyogram data, the apparatus comprising: a plurality of first electrode pairs and first transmission channels;
each set of first electrode pairs comprises a first positive electrode and a first negative electrode; the first negative electrodes are connected in parallel and serve as a first reference electrode;
each group of first electrode pairs is connected with a myoelectricity testing instrument through a first transmission channel;
the first electrode pairs are used for enabling the myoelectricity testing instrument to obtain first abdominal myoelectricity data when the first positive electrodes are attached to different muscle tissue body surfaces of the abdomen and the first reference electrodes are attached to a first human body surface;
the first positive electrode is attached to one side of the abdomen;
the acquisition device further includes: a plurality of second electrode pairs and second transmission channels;
each set of second electrode pairs comprises a second positive electrode and a second negative electrode; the second negative electrodes are connected in parallel and serve as a second reference electrode;
each group of second electrode pairs is connected with the myoelectricity testing instrument through a second transmission channel;
the plurality of second electrode pairs are used for enabling the myoelectricity testing instrument to obtain second abdominal myoelectricity data when the second positive electrode is attached to the other side of the abdomen and the second reference electrode is attached to the body surface of a second human body;
the second positive electrodes and the first positive electrodes are symmetrically attached to the muscular tissue body surface of the abdomen one by one relative to the midline of a human body;
the first human body surface and the second human body surface are symmetrical relative to the midline of the human body.
2. The apparatus for acquiring abdominal electromyographic data according to claim 1, wherein the number of said first electrode pair and said second electrode pair is 6;
the 6 first positive electrodes are respectively used for being attached to the upper abdominal rectus muscle, the middle abdominal rectus muscle, the lower abdominal rectus muscle, the abdominal external oblique muscle, the abdominal internal oblique muscle and the abdominal transverse muscle of the left abdomen;
the 6 second positive electrodes are respectively used for being attached to the upper abdominal rectus muscle, the middle abdominal rectus muscle, the lower abdominal rectus muscle, the abdominal external oblique muscle, the abdominal internal oblique muscle and the abdominal transverse muscle of the right abdomen.
3. An evaluation system of abdominal electromyographic data, comprising an electromyographic testing apparatus, a controller, and an abdominal electromyographic data acquisition device of any of claims 1-2;
the myoelectricity testing instrument is electrically connected with the controller and the acquisition device respectively;
the controller is used for generating an evaluation result according to the abdominal myoelectricity data acquired by the myoelectricity testing instrument.
4. The abdominal electromyography data evaluation system of claim 3, wherein the abdominal electromyography data comprises at least one of the following status data: myoelectric data in a pre-resting state, myoelectric data in a moving state and myoelectric data in a post-resting state.
5. The abdominal electromyography data evaluation system of claim 4, wherein the status data comprises the following parameters: amplitude, frequency;
the controller includes: a judgment unit and a result generation unit; the judging unit is electrically connected with the result generating unit;
the judging unit is used for judging whether the amplitude and/or the frequency are within the range of respective state threshold values;
the result generating unit is used for generating the evaluation result according to the judgment result.
6. The abdominal electromyography data evaluation system of claim 5, wherein the controller further comprises: a data processing unit;
the data processing unit is used for carrying out high-pass filtering processing and/or power frequency filtering processing on the abdominal electromyography data.
7. The evaluation system of abdominal electromyography data according to any of claims 4 to 6, further comprising: a display electrically connected with the controller;
when the acquisition device further comprises second electrode pairs, each group of first electrode pairs and each group of second electrode pairs are provided with a display;
the controller is used for controlling the display parameters of the display according to the numerical value of the state data.
8. An evaluation method of abdominal electromyography data, the evaluation method comprising:
acquiring abdominal electromyogram data using the apparatus for acquiring abdominal electromyogram data according to any one of claims 1 to 2;
and generating an evaluation result according to the abdominal electromyography data.
9. The method for evaluating abdominal electromyography data of claim 8, wherein the abdominal electromyography data comprises at least one of the following status data: myoelectric data in a pre-resting state, myoelectric data in a moving state, and myoelectric data in a post-resting state.
10. The method for the evaluation of abdominal electromyographic data according to claim 9, wherein the status data comprises the following parameters: amplitude, frequency;
generating an evaluation result according to the abdominal electromyography data, which specifically comprises the following steps:
judging whether the amplitude and/or the frequency are within the respective state threshold range;
and generating the evaluation result according to the judgment result.
11. The method for evaluating abdominal electromyography data of claim 10, further comprising, prior to the step of determining whether the amplitude and/or the frequency are within respective state thresholds:
and carrying out high-pass filtering processing and/or power frequency filtering processing on the abdominal electromyographic data.
12. The method for the evaluation of abdominal electromyography data according to any of claims 9 to 11, further comprising:
when the acquisition device further comprises second electrode pairs, arranging a display on each group of first electrode pairs and each group of second electrodes;
and controlling the display parameters of the display according to the numerical value of the state data.
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