CN112382367A

CN112382367A - Method and system for evaluating rectus abdominis recruitment capability, electronic device and storage medium

Info

Publication number: CN112382367A
Application number: CN201910688761.3A
Authority: CN
Inventors: 何凯; 蒋郭清; 邵海波; 陆彬彬
Original assignee: Ech Shanghai Technology Co ltd
Current assignee: Ech Shanghai Technology Co ltd
Priority date: 2019-07-29
Filing date: 2019-07-29
Publication date: 2021-02-19

Abstract

The invention discloses a method and a system for evaluating rectus abdominis recruitment capability, electronic equipment and a storage medium. The evaluation method comprises the following steps: collecting electrophysiological signals of the rectus abdominis muscle in a motion state; calculating an average amplitude and an average frequency according to the electrophysiological signals; calculating a unit power myoelectric value according to the average amplitude and the average frequency; calculating a recruitment capacity evaluation value according to the average amplitude, the average frequency and the unit power myoelectric value; judging the recruitment capacity of the rectus abdominis muscle according to the recruitment capacity evaluation value. The method can accurately, objectively and efficiently judge the recruitment capacity of the rectus abdominis, and further can provide a reasonable suggestion for recovering the recruitment capacity of the rectus abdominis for a user with specific requirements according to the judgment result.

Description

Method and system for evaluating rectus abdominis recruitment capability, electronic device and storage medium

Technical Field

The invention relates to the technical field of medical instruments, in particular to a method and a system for evaluating rectus abdominis recruitment capability, electronic equipment and a storage medium.

Background

The average Amplitude (AWE) refers to the strength of the signal, and the average frequency (MPF) is the width of the signal spectrum, i.e. the difference between the highest frequency component and the lowest frequency component of the signal, which is another parameter of the signal, and the average amplitude and the average frequency are commonly used as a general algorithm for radio digital signal analysis.

The prior art generally judges the rectus abdominis recruitment capacity through manual observation or description of people with specific requirements, and does not avoid the defects of subjectivity, inaccuracy and inefficiency of detection results, wherein the recruitment capacity represents the movement degree of muscles, and theoretically, the higher the recruitment capacity value during movement, the stronger the movement capacity.

Disclosure of Invention

The invention aims to overcome the defect that the rectus abdominis recruitment capability in the exercise process cannot be accurately and efficiently evaluated in the prior art, and provides an evaluation method, a system, electronic equipment and a storage medium for the rectus abdominis recruitment capability.

The invention solves the technical problems through the following technical scheme:

a method of assessing rectus abdominis recruitment capability, comprising:

collecting electrophysiological signals of the rectus abdominis muscle in a motion state;

calculating an average amplitude and an average frequency according to the electrophysiological signals;

calculating a unit power myoelectric value according to the average amplitude and the average frequency;

calculating a recruitment capacity evaluation value according to the average amplitude, the average frequency and the unit power myoelectric value;

judging the recruitment capacity of the rectus abdominis muscle according to the recruitment capacity evaluation value.

Preferably, before the step of calculating an recruitment capacity assessment value according to the average amplitude, the average frequency and the muscle electric value per unit power, the assessment method further comprises the following steps:

presetting a score corresponding table;

the score correspondence table comprises physical states, a value range corresponding to each physical state and scores corresponding to the value ranges, wherein the physical states comprise average amplitude, average frequency and unit power myoelectric values;

the step of calculating the recruitment capacity assessment value according to the average amplitude, the average frequency and the unit power myoelectric value comprises the following steps:

matching scores respectively corresponding to the average amplitude, the average frequency and the unit power myoelectric value according to the score corresponding table;

and calculating the recruitment capacity evaluation value according to the average amplitude, the average frequency and the score corresponding to the unit power myoelectric value.

Preferably, the number of the rectus abdominis is plural;

the step of collecting electrophysiological signals of the rectus abdominis muscle in a motor state comprises:

acquiring electrophysiological signals of each abdominal rectus muscle in a motion state;

the step of calculating an average amplitude and an average frequency from the electrophysiological signals comprises:

respectively calculating the average amplitude and the average frequency of each rectus abdominis muscle according to the electrophysiological signal of each rectus abdominis muscle;

the step of calculating the myoelectric value of unit power according to the average amplitude and the average frequency comprises the following steps:

calculating the unit power myoelectric value of each rectus abdominis muscle according to the average amplitude and the average frequency of each rectus abdominis muscle;

respectively matching scores corresponding to the average amplitude, the average frequency and the unit power myoelectric value of each rectus abdominis muscle according to the score corresponding table;

calculating the original recruitment ability evaluation value of each rectus abdominis muscle according to the average amplitude and the average frequency of each rectus abdominis muscle and the score corresponding to the unit power myoelectric value;

calculating a weighted original recruitment ability evaluation value according to the original recruitment ability evaluation value corresponding to each rectus abdominis muscle and a preset weight, wherein the sum of the preset weights of all rectus abdominis muscles is 1;

the recruitment ability assessment is given as the sum of the weighted original recruitment ability assessments for all the rectus abdominis muscles.

Preferably, the step of the preset score value correspondence table includes:

collecting sample electrophysiological signals of rectus abdominis of sample subjects with different health grades in a motion state;

calculating the physical state of the sample electrophysiological signal according to the sample electrophysiological signal, wherein the physical state of the sample electrophysiological signal comprises a sample average amplitude, a sample average frequency and a sample unit power myoelectric value calculated according to the sample average amplitude and the sample average frequency;

respectively fitting spline curves of all physical states;

respectively counting the numerical value range corresponding to each physical state of the sample object of each health grade according to the spline curve;

and distributing scores according to the spline curves corresponding to the numerical ranges of the physical states of the sample objects of each health grade.

Preferably, the step of judging the recruitment ability of the rectus abdominis muscle according to the recruitment ability assessment value comprises:

presetting different threshold value ranges, wherein each threshold value range corresponds to one recruitment capacity grade;

and matching the recruitment capacity grade corresponding to the recruitment capacity evaluation value according to the threshold range in which the recruitment capacity falls.

Preferably, after the step of judging the recruitment ability of the rectus abdominis muscle according to the recruitment ability assessment value, the assessment method further comprises:

setting recovery parameters of the abdomen low-frequency electrical stimulation recovery band according to different recruitment abilities, and recovering the rectus abdominis by using the abdomen low-frequency electrical stimulation recovery band;

wherein the recovery parameter comprises at least one of an activation parameter, a relaxation parameter, a repair parameter, a recruitment parameter.

An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements any of the above methods of assessing rectus abdominis recruitment capabilities when executing the computer program.

A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of any one of the methods for assessing rectus abdominis recruitment capacity described above.

An assessment system for rectus abdominis recruitment capability, the assessment system comprising:

the acquisition module is used for acquiring electrophysiological signals of the rectus abdominis in a motion state;

the first calculation module is used for calculating the average amplitude and the average frequency according to the electrophysiological signals;

the second calculation module is used for calculating a unit power myoelectric value according to the average amplitude and the average frequency;

the third calculation module is used for calculating a recruitment capacity evaluation value according to the average amplitude, the average frequency and the unit power myoelectric value;

and the judging module is used for judging the recruitment ability of the rectus abdominis muscle according to the recruitment ability evaluation value.

Preferably, the evaluation system further comprises:

the table presetting module is used for presetting a score corresponding table;

the third computing module comprises:

a score matching unit for matching scores corresponding to the average amplitude, the average frequency, and the unit power myoelectric value, respectively, according to the score correspondence table;

and the calculating unit is used for calculating the recruitment capacity evaluation value according to the average amplitude, the average frequency and the score corresponding to the unit power myoelectric value.

Preferably, the number of the rectus abdominis is plural;

the acquisition module is specifically used for acquiring electrophysiological signals of each rectus abdominis muscle in a motion state;

the first calculation module is specifically used for calculating the average amplitude and the average frequency of each rectus abdominis muscle according to the electrophysiological signal of each rectus abdominis muscle;

the second calculation module is specifically configured to calculate a unit power myoelectric value of each rectus abdominus muscle according to the average amplitude and the average frequency of each rectus abdominus muscle;

the third calculation module further comprises a weighting unit and a summarizing unit; wherein:

the score matching unit is specifically used for respectively matching scores corresponding to the average amplitude, the average frequency and the unit power myoelectric value of each rectus abdominis muscle according to the score corresponding table;

the calculating unit is specifically used for calculating an original recruitment ability evaluation value of each rectus abdominis muscle according to the average amplitude and the average frequency of each rectus abdominis muscle and the score corresponding to the unit power myoelectric value;

the weighting unit is used for calculating weighted original recruitment ability evaluation values according to the original recruitment ability evaluation value corresponding to each rectus abdominis muscle and preset weights, wherein the sum of the preset weights of all the rectus abdominis muscles is 1;

the summing unit is used for taking the sum of the weighted original recruitment capacity evaluated values of all the rectus abdominis muscles as the recruitment capacity evaluated value.

Preferably, the table presetting module includes:

the sample signal acquisition unit is used for acquiring sample electrophysiological signals of rectus abdominis of sample objects with different health grades in a motion state;

the sample physical state calculating unit is used for calculating the physical state of the sample electrophysiological signal according to the sample electrophysiological signal, wherein the physical state of the sample electrophysiological signal comprises a sample average amplitude, a sample average frequency and a sample unit power myoelectric value calculated according to the sample average amplitude and the sample average frequency;

the fitting unit is used for respectively fitting the spline curves of all the physical states;

the numerical range counting unit is used for counting the numerical range corresponding to each physical state of the sample object of each health grade according to the spline curve;

and the score distribution unit is used for distributing scores according to the spline curves corresponding to the numerical ranges of the physical states of the sample objects of each health grade.

Preferably, the judging module includes:

the range presetting unit is used for presetting different threshold ranges, wherein each threshold range corresponds to one recruitment capacity grade;

and the grade matching unit is used for matching the recruitment capacity grade corresponding to the recruitment capacity evaluation value according to the threshold range in which the recruitment capacity falls.

Preferably, the evaluation system further comprises:

the recovery module is used for setting recovery parameters of the abdomen low-frequency electrical stimulation recovery band according to different recruitment capabilities and recovering the rectus abdominis by using the abdomen low-frequency electrical stimulation recovery band;

The positive progress effects of the invention are as follows: the method comprises the steps of acquiring electrophysiological signals of the rectus abdominis under the exercise state, analyzing the electrophysiological signals to obtain average amplitude, average frequency and unit power myoelectric values of the electrophysiological signals, analyzing and processing the average amplitude, average frequency and unit power myoelectric values to obtain recruitment capacity evaluation values of the rectus abdominis under the exercise state, further analyzing the recruitment capacity of the rectus abdominis under the exercise state, and formulating different recovery schemes for different users according to the recruitment capacities of the users.

Drawings

Fig. 1 is a flowchart of a method for evaluating the rectus abdominis muscle recruitment ability according to example 1 of the present invention.

Fig. 2 is a flowchart of a method for evaluating the rectus abdominis muscle recruitment ability according to example 2 of the present invention.

Fig. 3 is a detailed flowchart of step S16 in the method for evaluating rectus abdominis recruitment capability according to example 2 of the present invention.

Fig. 4 is a flowchart of a method for evaluating the rectus abdominis muscle recruitment ability according to example 3 of the present invention.

Fig. 5 is a flowchart of a method for evaluating the rectus abdominis muscle recruitment ability according to example 4 of the present invention.

Fig. 6 is a schematic diagram of a hardware structure of an electronic device according to embodiment 5 of the present invention.

Fig. 7 is a block diagram of an evaluation system of rectus abdominis recruitment capability according to example 7 of the present invention.

Fig. 8 is a block diagram of an evaluation system of rectus abdominis recruitment capability according to example 8 of the present invention.

Fig. 9 is a block diagram of an evaluation system of rectus abdominis recruitment capability according to example 9 of the present invention.

Fig. 10 is a block diagram of an evaluation system of rectus abdominis recruitment capability according to example 10 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.

Example 1

The present embodiment provides a method for evaluating the rectus abdominis muscle recruitment ability, and fig. 1 shows a flowchart of the present embodiment. Referring to fig. 1, the evaluation method of the present embodiment includes:

s11, collecting electrophysiological signals of the rectus abdominis in a motion state;

s12, calculating average amplitude and average frequency according to the electrophysiological signals;

s13, calculating a unit power myoelectric value according to the average amplitude and the average frequency;

s14, calculating a recruitment capacity assessment value according to the average amplitude, the average frequency and the unit power myoelectric value;

s15, judging the recruitment ability of the rectus abdominis muscle according to the recruitment ability assessment value.

The unit power myoelectric value (APE) is the product of the average amplitude and the average frequency, and the average amplitude, the average frequency and the unit power myoelectric value obtained according to the rectus abdominis electrophysiological signal can reflect the recruitment state of the muscle to a certain extent.

Between steps S11 and S12, the assessment method of the present embodiment may further include a step of preprocessing the acquired electrophysiological signals, so as to make the subsequent assessment of the recruitment capacity of the rectus abdominis more accurate, wherein the preprocessing may include, but is not limited to, data cleaning, data integration, data transformation, and data reduction. Specifically, data cleansing refers to "cleansing" data by filling in missing values, smoothing out noisy data, identifying or deleting outliers and resolving inconsistencies, by which data cleansing may standardize data formats, clear anomalous data, correct erroneous data, and clear duplicate data. Data integration refers to combining and uniformly storing data in a plurality of data sources, so that the data storage space is simplified. The data transformation is to convert data into a form suitable for data calculation by means of smooth aggregation, data generalization or normalization and the like, so as to improve the speed of subsequent data calculation. The data reduction means that a large amount of data is reduced to a data set, so that the integrity of original data can be maintained, and the order of data storage can be improved.

In step S14, the recruitment ability assessment may be the sum of the average amplitude, the average frequency, and the muscle electrical value per power. In step S15, the recruitment capacity is positively correlated with the recruitment capacity assessment, i.e., the higher the recruitment capacity assessment, the stronger the recruitment capacity, and vice versa, the weaker the recruitment capacity.

In the embodiment, through collecting the electrophysiological signals of the rectus abdominis in the exercise state, the average amplitude, the average frequency and the unit power myoelectric value which can reflect the muscle recruitment state are obtained, and then the recruitment ability evaluation value of the rectus abdominis in the exercise state can be obtained, so that the recruitment ability of the rectus abdominis is judged through the recruitment ability evaluation value, the interference of human factors can be avoided, the recruitment ability of the rectus abdominis reasonably, objectively and efficiently judged, and different specific suggestions are provided according to different recruitment abilities.

Example 2

On the basis of embodiment 1, the present embodiment provides a method for evaluating the rectus abdominis muscle recruitment capacity, and fig. 2 shows a flowchart of the present embodiment. Referring to fig. 2, compared to embodiment 1, before step S14, the evaluation method of this embodiment further includes:

and S16, presetting a score corresponding table.

The score correspondence table may include physical states, value ranges corresponding to the physical states, and scores corresponding to the value ranges, and the physical states may include average amplitude, average frequency, and unit power myoelectric values.

Referring to fig. 2, step S14 in this embodiment specifically includes:

s141, matching scores respectively corresponding to the average amplitude, the average frequency and the unit power myoelectricity value according to a score corresponding table;

and S142, calculating a recruitment ability evaluation value according to the average amplitude, the average frequency and the score corresponding to the unit power myoelectricity value.

Specifically, in this embodiment, with respect to the average amplitude, the average frequency and the myoelectric value per unit power obtained based on the same electrophysiological signal, in step S141, a score G1 corresponding to the average amplitude, a score G2 corresponding to the average frequency and a score G3 corresponding to the myoelectric value per unit power may be obtained by matching according to the score correspondence table, and in step S142, a recruitment capability assessment value may be calculated according to the obtained scores G1, G2 and G3, so as to objectively assess the muscle recruitment capability.

Referring to fig. 3, step S16 specifically includes:

s161, collecting sample electrophysiological signals of rectus abdominis of sample objects with different health grades in a motion state;

s162, calculating the physical state of the sample electrophysiological signal according to the sample electrophysiological signal;

s163, respectively fitting spline curves of all physical states;

s164, counting the numerical value ranges corresponding to the physical states of the sample objects of each health grade according to the spline curves respectively;

and S165, distributing scores according to the spline curves corresponding to the numerical ranges of the physical states of the sample objects of each health grade.

The physical state of the sample electrophysiological signal may include a sample average amplitude, a sample average frequency, and a sample specific power myoelectric value calculated according to the sample average amplitude and the sample average frequency. In step S161, the sample electrophysiological signal may be acquired, but not limited to, using a method of grounding and negative electrode, for example, the negative electrode site may be fixed at the bony prominence of the pelvic ilium, and the reference site may be fixed at the wrist.

In the embodiment, the score correspondence table is scientifically and reasonably set through a statistical method, so that scientific and objective basis is provided for subsequent further evaluation of the rectus abdominis muscle recruitment capability. In order to better understand the preset manner of the score mapping table in this embodiment, the following description is made by using a specific example:

for example, the method of sharing the ground and the negative electrode can be used for acquiring electrophysiological signals of 100 women (20-30 years old and 50 people, 30-45 years old and 50 people) one year after birth, wherein the electrophysiological signals can be physiological signals of rectus abdominis acquired by a sample object when performing a standard abdomen rolling action, and then sample average Amplitude (AWE) data, sample average frequency (MPF) data and sample specific power myoelectric value (APE) data of the sample object are obtained.

Specifically, in this embodiment, the 100 persons can be divided into five typical characteristic persons by means of B-ultrasonic, visceral fat measuring apparatus and consultation of hospital rehabilitation doctors, including:

a healthy-10 people

Basic health of-28 people

Sub-healthy C-33

Mild D disorder-17 people

E moderate disorder-6 people

Severe F disorder-6 persons

After fitting a Spline curve (Spline Curves) to the AWE data, MPF data and APE data of 100 persons as described above, respectively, there are:

for the population with a typical characteristic of health, the percentage is 10% (10/100), and the characteristic inflection point can be found at the position of 10% of the spline curve, with AWE 51.33mv, MPF 80.31Hz, and APE 4122.3123 mw.

The range of AWE may be (50mv, + ∞), the range of MPF may be (80Hz, + ∞), and the range of APE may be (4000mw, + ∞).

For a population with a typical characteristic of basic health of B, the percentage is 28%, and the characteristic inflection point can be found at the position of 38% (10% + 28%) of the spline curve, with AWE 40.32mv, MPF 60.6Hz, APE 2443.392 mw.

The value range of AWE may be (40mv,50 mv), the value range of MPF may be (60Hz,80 Hz), and the value range of APE may be (2400mw,4000 mw).

For a population with the typical characteristic of C sub-health, the percentage is 33%, and the characteristic inflection point can be found at the position of 71% (38% + 33%) of the spline curve, where AWE is 31.89mv, MPF is 43.98Hz, and APE is 1402.5222 mw.

The value range of AWE may be (30mv,40 mv), the value range of MPF may be (40Hz,60 Hz), and the value range of APE may be (1200mw,2400 mw).

For the population with the characteristic feature of mild D disorder, the percentage is 17%, and the feature inflection point can be found at the position of 88% (71% + 17%) of the spline curve, where AWE is 22.65mv, MPF is 21.32Hz, and APE is 482.898 mw.

The value range of AWE may be (20mv,30 mv), the value range of MPF may be (20Hz,40 Hz), and the value range of APE may be (400mw,1200 mw).

For the population with the typical characteristic of E moderate obstacle, the percentage is 6%, and the characteristic inflection point can be found at the position of 94% (88% + 6%) of the spline curve, where AWE is 12.65mv, MPF is 11.32Hz, and APE is 143.198 mw.

The value range of AWE may be (10mv,20 mv), the value range of MPF may be (10Hz,20 Hz), and the value range of APE may be (100mw,400 mw).

For a population typically characterized by F severe disorders, the range of values for AWE may be (∞,10mv), the range of values for MPF may be (∞,10Hz), and the range of values for APE may be (∞,100 mw).

The sports AWE can be characterized into five typically characterized groups:

the abdomen of the crowd in one stage is very healthy, the appearance of the abdomen is good, and the crowd who usually exercises in a proper amount does not need to do rehabilitation treatment. This segment of the population AWE falls substantially within (50mv, + ∞), for a total of 14 people. After the straight line is used for fitting, the slope is k approximately equal to 1.1, the score is 1, and the forward basic score is 50/1 approximately equal to 50.

The abdomen of the people in the second stage is basically healthy, the appearance of the abdomen is still proper, and rehabilitation treatment is basically not needed. The AWE of the population in the period basically falls into (40mv-50 mv), and 36 people are counted, after straight line fitting, the slope is about k ≈ 1.46, the score is 1.5, and the forward basic score is 50/1.5 ≈ 30.

The three-stage abdominal region of the population is sub-healthy, the abdominal appearance is slightly relaxed, the fat is more, the abdominal region is not rarely on the critical point of the rectus abdominis separation, but the problem is not serious, the abdominal region can be recovered through simple manual intervention, and short-term rehabilitation treatment is needed. The crowd AWE basically falls into (30mv-40 mv), and 27 people are totally obtained, after straight line fitting, the slope is about k ≈ 2.41, the score is 2.5, and the forward basic score is 50/2.5 ≈ 20.

The abdominal appearance of the people in the four stages can be obviously seen to be convex, the loose fat is thicker, the visceral fat is basically more than 32%, the separation of the rectus abdominis can be measured by B-ultrasonic for 2cm-4cm, and the rehabilitation therapy is required to be carried out systematically and for a long time. The AWE of the population in the period basically falls into (20mv-30 mv), and 14 people are counted, after straight line fitting, the slope is k approximately equal to 3.81, the score is 4, and the forward basic score is 50/4 approximately equal to 15.

The abdominal appearance of the people in the five stages can be obviously seen to be obviously convex, the loose part has thicker fat, the visceral fat is basically more than 35%, the separation of the rectus abdominis muscle is more than 4cm measured by B-ultrasound, and the rehabilitation therapy is required to be carried out systematically. The AWE of the population in the period basically falls into (10mv-20 mv), 5 people are totally obtained, after straight line fitting, the slope is k approximately equal to 4.81, the score is 5, and the forward basic score is 50/5 approximately equal to 10.

The abdomen of the six-stage population begins to influence daily living, the appearance is tight, the abdomen is loose and deformed, a fat layer is thick, visceral fat is basically over 38 percent, the rectus muscle is separated by over 4cm, and various complications such as hypertension, hyperlipidemia and blood sugar are accompanied, so that rehabilitation and fat reduction are required in time. The AWE of this segment of population falls substantially in (-infinity, 10mv), for a total of 4 people. After the straight line is used for fitting, the slope is k approximately equal to 9.6, the score is 10, and the forward basic score is 50/10 approximately equal to 5.

The sports MPF is characterized into five typical characterized populations:

the abdomen of the crowd in one stage is very healthy, the appearance of the abdomen is good, and the crowd who usually exercises in a proper amount does not need to do rehabilitation treatment. This segment of the population MPF falls substantially within (80Hz, + ∞), for a total of 14 people. After fitting with a straight line, the slope k is approximately equal to 0.981, which will be given a score of 1 and a forward base score of 50/1-50.

The abdomen of the people in the second stage is basically healthy, the appearance of the abdomen is still proper, and rehabilitation treatment is basically not needed. The MPF of the population basically falls into (60Hz,80 Hz), and 31 persons are totally obtained, after the straight line fitting, the slope is about 1.56, the score is 1.5, and the forward basic score is 50/1.5 and about 30.

The three-stage abdominal region of the population is sub-healthy, the abdominal appearance is slightly relaxed, the fat is more, the abdominal region is not rarely on the critical point of the rectus abdominis separation, but the problem is not serious, the abdominal region can be recovered through simple manual intervention, and short-term rehabilitation treatment is needed. The MPF of the population basically falls into (40Hz,60 Hz) and 23 people in total, after straight line fitting, the slope is about 2.66, the score is 2.5, and the forward basic score is 50/2.5 and 20.

The abdominal appearance of the people in the four stages can be obviously seen to be convex, the loose fat is thicker, the visceral fat is basically more than 32%, the separation of the rectus abdominis can be measured by B-ultrasonic for 2cm-4cm, and the rehabilitation therapy is required to be carried out systematically and for a long time. The MPF of the population basically falls into (20Hz,40 Hz), and 24 persons are obtained in total, after the MPF is fitted by a straight line, the slope is about k & lt 4.02, the score is 4, and the forward basic score is 50/4 & lt 15 & gt.

The abdominal appearance of the people in the five stages can be obviously seen to be convex, the loose part has thicker fat, the visceral fat is basically more than 32%, the separation of the rectus abdominis muscle is more than 4cm measured by B-ultrasonic, and the rehabilitation therapy is required to be carried out systematically. The MPF of the population basically falls into (10Hz,20 Hz) and 3 people in total, after the MPF is fitted by a straight line, the slope is k approximately equal to 4.59, the score is 5, and the forward basic score is 50/5 approximately equal to 15.

The abdomen of the six-stage population begins to influence daily living, the appearance is tight, the abdomen is loose and deformed, a fat layer is thick, visceral fat is basically over 38 percent, the rectus muscle is separated by over 4cm, and various complications such as hypertension, hyperlipidemia and blood sugar are accompanied, so that rehabilitation and fat reduction are required in time. This segment of the population MPF falls substantially within (- ∞,10Hz), for a total of 5 people. After the straight line is used for fitting, the slope is k approximately equal to 9.3, the score is 10, and the forward basic score is 50/10 approximately equal to 5.

Sports APEs are characterised into five characteristically characterised populations:

the abdomen of the crowd in one stage is very healthy, the appearance of the abdomen is good, and the crowd who usually exercises in a proper amount does not need to do rehabilitation treatment. The APE of this segment of the population falls substantially within (4000mw, + ∞), for a total of 11 people. After fitting by a straight line, the slope k is approximately equal to 1.2, the score is 1, and the forward basic score is 50/1 and approximately equal to 50.

The abdomen of the people in the second stage is basically healthy, the appearance of the abdomen is still proper, and rehabilitation treatment is basically not needed. The APE of the population of the segment basically falls into (2400mw,4000 mw), 35 people are totally obtained, after the straight line fitting, the slope is about 1.55, the score is 1.5, and the forward basic score is 50/1.5 and about 30.

The three-stage abdominal region of the population is sub-healthy, the abdominal appearance is slightly relaxed, the fat is more, the abdominal region is not rarely on the critical point of the rectus abdominis separation, but the problem is not serious, the abdominal region can be recovered through simple manual intervention, and short-term rehabilitation treatment is needed. The APE of the population basically falls into (1200mw,2400 mw), and 28 people are totally obtained, after the APE is fitted by a straight line, the slope is about k & lt 2.59, the score is 2.5, and the forward basic score is 50/2.5 & lt 20 & gt.

The abdominal appearance of the people in the four stages can be obviously seen to be convex, the loose fat is thicker, the visceral fat is basically more than 32%, the separation of the rectus abdominis can be measured by B-ultrasonic for 2cm-4cm, and the rehabilitation therapy is required to be carried out systematically and for a long time. The APE of the population basically falls into (400mw,1200 mw), 16 people in total, after the linear fitting, the slope is about k ≈ 4.23, the score is 4, and the forward basic score is 50/4 ≈ 15.

The abdominal appearance of the people in the five stages can be obviously seen to be convex, the loose fat is thicker, the visceral fat is basically more than 32%, the separation of the rectus abdominis is more than 4cm measured by B-ultrasound, and the rehabilitation treatment is needed. The APE of the segment of population basically falls into (100mw,400 mw), 4 people are totally obtained, after straight line fitting, the slope is about k ≈ 5.23, the score is 5, and the forward basic score is 50/5 ≈ 10.

The abdomen of the six-stage population begins to influence daily living, the appearance is tight, the abdomen is loose and deformed, a fat layer is thick, visceral fat is basically over 38 percent, the rectus muscle is separated by over 4cm, and various complications such as hypertension, hyperlipidemia and blood sugar are accompanied, so that rehabilitation and fat reduction are required in time. The APE of this segment of the population falls substantially within (- ∞,100mw) for a total of 6 people. After the straight line is used for fitting, the slope is k approximately equal to 10.21, the score is 10, and the forward basic score is 50/5 approximately equal to 5.

According to the above numerical range and its score, the following score correspondence table can be obtained:

referring to fig. 2, in this embodiment, step S15 specifically includes:

s151, presetting different threshold value ranges;

and S152, matching the recruitment capacity grade corresponding to the recruitment capacity evaluation value according to the threshold range in which the recruitment capacity falls.

Specifically, in this embodiment, the score for the recruitment ability assessment ranges between 15-150, where the higher the assessment, the stronger the corresponding recruitment ability, and conversely, the weaker the corresponding recruitment ability. In this embodiment, the score range may be divided into a plurality of continuous threshold ranges to correspond to different recruitment capacity levels, for example, the preset threshold range may include:

above 135 points, corresponding to an excellent recruitment capacity rating, which is often a high intensity exercise of the rectus abdominis muscle in people such as athletes;

100-;

70-100 points, the corresponding recruitment capacity grade is medium, and the abdominal rectus muscle recruitment capacity of the population corresponding to the range is satisfactory;

35-70 points, the corresponding recruitment capacity is in a poor grade, the group corresponding to the range is often poor in rectus abdominis strength and difficult to form an effective constraint abdominal shape, and the rectus abdominis has the possibility of pathological phenomena and may need rehabilitation treatment;

below 35 points, the corresponding recruitment capacity grade is extremely poor, the population corresponding to the range is often weak in rectus abdominis muscle, the rectus abdominis muscle function is degenerated and atrophied, and the serious patient is recommended to go to a professional medical institution for diagnosis.

For example, the electrophysiological signal of the rectus abdominis muscle of an evaluation subject during standard abdominal exercise is continuously acquired for 3 minutes (180 seconds) by a 6-channel electrophysiological signal acquisition instrument, wherein the sampling precision can be 1000Hz, the electrophysiological signal is processed to obtain an average amplitude of 60mv (corresponding to a score of 50), an average frequency of 50Hz (corresponding to a score of 20), and a unit power myoelectric value of 4500mv (corresponding to a score of 50), and after summing the three scores, the recruitment ability of the evaluation subject is divided into 120 scores, the level of the recruitment ability is good, and the recruitment ability of the rectus abdominis muscle of the evaluation subject can be evaluated to be at an intermediate level.

On the basis of embodiment 1, the present embodiment calculates the recruitment ability evaluation value of the rectus abdominis muscle by giving different scores to the average amplitude, the average frequency and the unit power myoelectric value in different value ranges, so that the evaluation effect on the recruitment ability of the rectus abdominis muscle can be further improved, and the evaluation method is more accurate, objective and efficient.

Example 3

On the basis of embodiment 2, the present embodiment provides a method for evaluating the rectus abdominis recruitment capacity, and fig. 4 shows a flowchart of the present embodiment. Referring to fig. 4, the difference between the present embodiment and embodiment 2 is mainly that, in the present embodiment, the number of rectus abdominis is plural, and the recruitment ability of the rectus abdominis can be finally evaluated by collecting electrophysiological signals of plural rectus abdominis muscles, so as to evaluate the recruitment ability of the rectus abdominis.

Referring to fig. 4, the evaluation method of the present embodiment includes:

s31, collecting electrophysiological signals of each rectus abdominis muscle in a motion state;

s32, calculating the average amplitude and the average frequency of each rectus abdominis muscle according to the electrophysiological signal of each rectus abdominis muscle;

s33, calculating the unit power myoelectric value of each rectus abdominis muscle according to the average amplitude and the average frequency of each rectus abdominis muscle;

s34, respectively matching scores respectively corresponding to the average amplitude, the average frequency and the unit power myoelectric value of each rectus abdominis muscle according to the score corresponding table;

s35, calculating an original recruitment ability evaluation value of each rectus abdominis muscle according to the average amplitude and the average frequency of each rectus abdominis muscle and the corresponding score of the unit power myoelectric value;

s36, calculating a weighted original recruitment ability evaluation value according to the original recruitment ability evaluation value corresponding to each rectus abdominis muscle and a preset weight;

s37, taking the sum of the original recruitment ability assessment values weighted by all the rectus abdominis muscles as a recruitment ability assessment value;

s38, judging the recruitment ability of the rectus abdominis muscle according to the recruitment ability assessment value.

Specifically, in the present embodiment, three left rectus abdominis muscles (denoted as M from top to bottom) can be collected respectively_L1、M_L2、M_L3) And the right three rectus abdominis muscles (denoted as M from top to bottom, respectively)_R1、M_R2、M_R3) The electrophysiological signal of (a). The left rectus abdominis can share a reference position and a negative position, specifically, the negative position can be fixed at the apophysis of the left pelvic ilium, and the reference position can be fixed at the left wrist; the three rectus abdominis muscles on the right side can share a reference position and a negative position, specifically, the negative position can be fixed at the apophysis of the ilium pelvis on the right side, and the reference position can be fixed at the right wrist.

For rectus abdominis M_L1The acquired electrophysiological signals are processed to respectively obtain the average wave Amplitude (AWE), the average frequency (MPF) and the unit power myoelectric value (APE), and the values G corresponding to the average wave amplitude are obtained by matching according to the value correspondence table_L1-AWEScore G corresponding to average frequency_L1-MPFScore G corresponding to the myoelectric value of unit power_L1-APEBisect value G_L1-AWE、G_L1-MPFAnd G_L1-APESumming to obtain rectus abdominis M_L1Raw recruitment capacity estimate G_L1。

The rectus abdominis M was determined in the same manner_L2Raw recruitment capacity estimate G_L2Abdominal rectus muscle M_L3Raw recruitment capacity estimate G_L3Abdominal rectus muscle M_R1Raw recruitment capacity estimate G_R1Abdominal rectus muscle M_R2Raw recruitment capacity estimate G_R2And the rectus abdominis muscle M_R3Raw recruitment capacity estimate G_R3。

In the present embodiment, the rectus abdominis muscle M_L1、M_L2、M_L3、M_R1、M_R2、M_R3The sum of the corresponding predetermined weights being 1, e.g. rectus abdominis M_L1、M_L2、M_L3、M_R1、M_R2、M_R3The corresponding preset weights may be 0.2, 0.15, so that the finally determined recruitment capacity assessment G is 0.2 × G_L1+0.15*G_L2+0.15*G_L3+0.2*G_R1+0.15*G_R2+0.15*G_R3。

In this embodiment, the recruitment ability assessment value of the rectus abdominis is obtained based on the collection of electrophysiological signals of a plurality of rectus abdominis muscles, so that the recruitment ability of the rectus abdominis muscles in the exercise state can be more comprehensively and effectively assessed. In other embodiments of the present invention, the recruitment capacity of the rectus abdominis muscle in the motor state can be finally evaluated by simply summing the original recruitment capacity evaluations of all rectus abdominis muscles.

Example 4

On the basis of embodiment 2, the present embodiment provides a method for evaluating the rectus abdominis recruitment capacity, and fig. 5 shows a flowchart of the present embodiment. Referring to fig. 5, compared to embodiment 2, the evaluation method of this embodiment further includes, after step S15:

s17, setting recovery parameters of the abdomen low-frequency electric stimulation recovery belt according to different recruitment capabilities;

and S18, recovering the rectus abdominis muscle by using the abdominal low-frequency electric stimulation recovery belt.

In this embodiment, the recovery parameter may include at least one of an activation parameter, a relaxation parameter, a repair parameter, and a recruitment parameter, wherein the activation parameter is a time to activate the rectus abdominis muscle, the relaxation parameter is a time to relax the rectus abdominis muscle, the repair parameter is a time to repair the rectus abdominis muscle, and the recruitment parameter is a time to recruit the rectus abdominis muscle.

In this embodiment, the damaged rectus abdominis muscle can be recovered by the abdominal low-frequency electrical stimulation rehabilitation belt developed by the user, the recovery parameters of the rehabilitation belt are set by different rectus abdominis muscle recruitment abilities, and then the abdominal rectus muscles are subjected to low-frequency stimulation training such as activation, relaxation, repair and recruitment by the rehabilitation belt, so as to enhance the muscle recruitment ability.

For example, when the abdominal rectus muscle recruitment ability is graded as extremely poor, rehabilitation training may be performed once a day, wherein rehabilitation training achieved by setting the recovery parameters may include 2 minutes of activation, 3 minutes of repair, 5 minutes of recruitment, and 5 minutes of relaxation.

When the rectus abdominis muscle recruitment capacity is graded as poor, rehabilitation training may be performed twice a day, wherein rehabilitation training achieved by setting the rehabilitation parameters may include 2 minutes of activation, 3 minutes of repair, 5 minutes of recruitment, 2 minutes of relaxation, 5 minutes of recruitment, 3 minutes of relaxation.

After the rehabilitation training is carried out by using the rehabilitation belt, the recruitment capacity evaluation value of the rectus abdominis can be increased to different degrees, which can indicate that the recruitment capacity of the rectus abdominis is recovered.

In this embodiment, through setting up the different parameters of abdomen low frequency electro photoluminescence rehabilitation area, can carry out the recovery of problem rectus abdominis to the patient of different rectus abdominis recruitment abilities to, this embodiment not only can objectively, accurately aassessment rectus abdominis recruitment ability, can also formulate individualized recovery measure to the rectus abdominis that has the problem and help it to resume, also further make this scheme more have market prospect.

Example 5

The present embodiment provides an electronic device, which may be represented in the form of a computing device (for example, may be a server device), including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor, when executing the computer program, may implement the method for evaluating the rectus abdominis recruitment capability provided in any one of embodiments 1-4.

Fig. 6 shows a schematic diagram of a hardware structure of the present embodiment, and as shown in fig. 6, the electronic device 9 specifically includes:

at least one processor 91, at least one memory 92, and a bus 93 for connecting the various system components (including the processor 91 and the memory 92), wherein:

the bus 93 includes a data bus, an address bus, and a control bus.

Memory 92 includes volatile memory, such as Random Access Memory (RAM)921 and/or cache memory 922, and can further include Read Only Memory (ROM) 923.

Memory 92 also includes a program/utility 925 having a set (at least one) of program modules 924, such program modules 924 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

The processor 91 executes a computer program stored in the memory 92 to execute various functional applications and data processing, such as a method for evaluating the rectus abdominis recruitment capability provided by any of the embodiments 1-4 of the present invention.

The electronic device 9 may further communicate with one or more external devices 94 (e.g., a keyboard, a pointing device, etc.). Such communication may be through an input/output (I/O) interface 95. Also, the electronic device 9 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 96. The network adapter 96 communicates with the other modules of the electronic device 9 via the bus 93. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 9, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.

It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module, according to embodiments of the application. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.

Example 6

The present embodiment provides a computer-readable storage medium on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the method of assessing rectus abdominis muscle recruitment provided in any one of embodiments 1-4.

More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.

In a possible embodiment, the invention can also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps of implementing the method of assessing rectus abdominis recruitment capabilities of any one of embodiments 1-4 when the program product is run on the terminal device.

Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.

Example 7

The present embodiment provides an evaluation system of rectus abdominis recruitment ability, and fig. 7 shows a block diagram of the present embodiment. Referring to fig. 7, the evaluation system of the present embodiment includes:

the acquisition module 1 is used for acquiring electrophysiological signals of the rectus abdominis in a motion state;

the first calculation module 2 is used for calculating the average amplitude and the average frequency according to the electrophysiological signals;

the second calculating module 3 is used for calculating a unit power myoelectric value according to the average amplitude and the average frequency;

the third calculating module 4 is used for calculating a recruitment capacity evaluation value according to the average amplitude, the average frequency and the unit power myoelectric value;

and the judging module 5 is used for judging the recruitment ability of the rectus abdominis muscle according to the recruitment ability evaluation value.

The assessment system of this embodiment may further include a preprocessing module for preprocessing the acquired electrophysiological signals, so as to make a subsequent assessment of the recruitment capability of the rectus abdominis more accurate, wherein the preprocessing may include, but is not limited to, data cleaning, data integration, data transformation, and data reduction. Specifically, data cleansing refers to "cleansing" data by filling in missing values, smoothing out noisy data, identifying or deleting outliers and resolving inconsistencies, by which data cleansing may standardize data formats, clear anomalous data, correct erroneous data, and clear duplicate data. Data integration refers to combining and uniformly storing data in a plurality of data sources, so that the data storage space is simplified. The data transformation is to convert data into a form suitable for data calculation by means of smooth aggregation, data generalization or normalization and the like, so as to improve the speed of subsequent data calculation. The data reduction means that a large amount of data is reduced to a data set, so that the integrity of original data can be maintained, and the order of data storage can be improved.

In the present embodiment, the recruitment ability assessment may be the sum of the average amplitude, the average frequency, and the muscle electrical value per unit power. In the present exemplary embodiment, the recruitment capacity is positively correlated with the recruitment capacity assessment, i.e., the higher the recruitment capacity assessment, the stronger the recruitment capacity, and conversely, the weaker the recruitment capacity.

Example 8

On the basis of embodiment 7, this embodiment provides an evaluation system for rectus abdominis recruitment ability, and fig. 8 shows a block diagram of this embodiment. Referring to fig. 8, compared to embodiment 7, the evaluation system of this embodiment further includes:

and the table presetting module 6 is used for presetting a score corresponding table.

Referring to fig. 8, the third computing module 4 specifically includes:

a score matching unit 41 for matching scores corresponding to the average amplitude, the average frequency, and the unit power myoelectric value, respectively, according to a score correspondence table;

and the calculating unit 42 is used for calculating the recruitment capacity evaluation value according to the average amplitude, the average frequency and the score corresponding to the myoelectric value of the unit power.

Specifically, in this embodiment, with respect to the average amplitude, the average frequency, and the myoelectric value per unit power obtained based on the same electrophysiological signal, the score matching unit 41 may be used to match the average amplitude with a score G1, the average frequency with a score G2, and the myoelectric value per unit power with a score G3 according to the score correspondence table, and the calculating unit 42 may calculate the recruitment capacity assessment value according to the obtained scores G1, G2, and G3, so as to objectively assess the muscle recruitment capacity.

Referring to fig. 8, the table presetting module 6 specifically includes:

the sample signal acquisition unit 61 is used for acquiring sample electrophysiological signals of rectus abdominis of sample objects with different health grades in a motion state;

a sample physical state calculating unit 62, configured to calculate a physical state of the sample electrophysiological signal according to the sample electrophysiological signal, where the physical state of the sample electrophysiological signal includes a sample average amplitude, a sample average frequency, and a sample unit power myoelectric value calculated according to the sample average amplitude and the sample average frequency;

a fitting unit 63 for fitting spline curves of each physical state, respectively;

a numerical range counting unit 64, configured to count a numerical range corresponding to each physical state of the sample object at each health level according to the spline curve;

and the score distribution unit 65 is used for distributing scores according to the spline curves corresponding to the numerical ranges of the physical states of the sample objects of each health grade.

The physical state of the sample electrophysiological signal may include a sample average amplitude, a sample average frequency, and a sample specific power myoelectric value calculated according to the sample average amplitude and the sample average frequency. In this embodiment, the sample electrophysiological signals may be collected, but not limited to, using a ground and negative electrode method, for example, the negative electrode site may be fixed at the bony prominence of the pelvic ilium and the reference site at the wrist.

a healthy-10 people

Basic health of-28 people

Sub-healthy C-33

Mild D disorder-17 people

E moderate disorder-6 people

Severe F disorder-6 persons

The sports AWE can be characterized into five typically characterized groups:

The sports MPF is characterized into five typical characterized populations:

referring to fig. 8, the determining module 5 specifically includes:

a range presetting unit 51 for presetting different threshold ranges;

and a grade matching unit 52 for matching the recruitment capacity grade corresponding to the recruitment capacity evaluation value according to the threshold range in which the recruitment capacity falls.

100-;

On the basis of embodiment 7, in the embodiment, the recruitment ability evaluation value of the rectus abdominis is calculated by giving different scores to the average amplitude, the average frequency and the unit power myoelectric values in different value ranges, so that the method is more accurate, objective and efficient, and the assessment effect on the recruitment ability of the rectus abdominis can be further improved.

Example 9

On the basis of embodiment 8, this embodiment provides an evaluation system of rectus abdominis recruitment ability, and fig. 9 shows a block diagram of this embodiment. Compared with embodiment 8, in this embodiment, the number of the rectus abdominis is plural, and the recruitment ability evaluation value of the rectus abdominis can be finally obtained by collecting electrophysiological signals of a plurality of rectus abdominis muscles, so as to evaluate the recruitment ability of the rectus abdominis muscles.

In this embodiment, the acquiring module 1 is specifically configured to acquire an electrophysiological signal of each rectus abdominus in a motion state, the first calculating module 2 is specifically configured to calculate an average amplitude and an average frequency of each rectus abdominus according to the electrophysiological signal of each rectus abdominus, the second calculating module 3 is specifically configured to calculate a unit-power myoelectric value of each rectus abdominus according to the average amplitude and the average frequency of each rectus abdominus, the score matching unit 41 is specifically configured to match scores corresponding to the average amplitude, the average frequency, and the unit-power myoelectric value of each rectus abdominus according to the score correspondence table, and the calculating unit 42 is specifically configured to calculate an original recruitment capacity evaluation value of each rectus abdominus according to the average amplitude, the average frequency, and the score corresponding to the unit-power myoelectric value of each rectus abdominus.

Referring to fig. 9, the third calculating module 4 in this embodiment further includes:

the weighting unit 43 is configured to calculate a weighted original recruitment ability evaluation value according to the original recruitment ability evaluation value corresponding to each rectus abdominis muscle and a preset weight;

the totalizing unit 44 is configured to take the sum of the original recruitment ability evaluations of all rectus abdominis muscles as the recruitment ability evaluation.

In the present embodiment, the rectus abdominis muscle M_L1、M_L2、M_L3、M_R1、M_R2、M_R3The sum of the corresponding predetermined weights being 1, e.g. rectus abdominis M_L1、M_L2、M_L3、M_R1、M_R2、M_R3The corresponding preset weight can be 0.2 or 015, 0.15, 0.2, 0.15, so that the finally determined value of recruitment capacity G is 0.2G_L1+0.15*G_L2+0.15*G_L3+0.2*G_R1+0.15*G_R2+0.15*G_R3. The determination module 5 may determine the recruitment ability of the rectus abdominis muscle according to the recruitment ability assessment value finally obtained.

Example 10

On the basis of embodiment 8, this embodiment provides an evaluation system of rectus abdominis recruitment ability, and fig. 10 shows a block diagram of this embodiment. Referring to fig. 10, compared with embodiment 8, the evaluation system of this embodiment further includes:

and the recovery module 7 is used for setting recovery parameters of the abdomen low-frequency electric stimulation recovery band according to different recruitment capabilities and recovering the rectus abdominis by using the abdomen low-frequency electric stimulation recovery band.

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

1. A method of assessing rectus abdominis recruitment capability, the method comprising:

2. The method of assessing rectus abdominis muscle recruitment according to claim 1, wherein prior to the step of calculating a recruitment assessment based on the mean amplitude, mean frequency, and muscle electrical values per unit power, the method further comprises:

presetting a score corresponding table;

3. The method of assessing rectus abdominis muscle recruitment capacity of claim 2, wherein the number of rectus abdominis muscles is plural;

4. The method of assessing rectus abdominis muscle recruitment capability of claim 2, wherein the step of mapping the predetermined score comprises:

respectively fitting spline curves of all physical states;

5. The method of assessing rectus abdominis muscle recruitment capability of claim 1, wherein the step of determining the recruitment capability of the rectus abdominis muscle from the assessment of recruitment capability comprises:

6. The method of assessing rectus abdominis muscle recruitment capability of claim 1, wherein after the step of determining the recruitment capability of the rectus abdominis muscle from the recruitment capability assessment value, the method further comprises:

7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the method of assessing rectus abdominus recruitment capability of any one of claims 1-6.

8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of assessing rectus abdominis recruitment capability of any one of claims 1-6.

9. An assessment system for rectus abdominis recruitment capability, the assessment system comprising:

10. The system for assessing rectus abdominis muscle recruitment capability of claim 9, further comprising:

the table presetting module is used for presetting a score corresponding table;

the third computing module comprises:

11. The system for assessing rectus abdominis muscle recruitment capability of claim 10, wherein the number of rectus abdominis muscles is plural;

12. The system for assessing rectus abdominis muscle recruitment capability of claim 10, wherein the table presetting module comprises:

a fitting unit for fitting spline curves of each physical state respectively

13. The system for assessing rectus abdominis muscle recruitment capability of claim 9, wherein the determination module comprises:

14. The system for assessing rectus abdominis muscle recruitment capability of claim 9, further comprising: