TWI476723B - Personalized system and method of abdominal breathing training evaluation based on abdominal muscles cluster function - Google Patents

Description

Personalized abdominal breathing training evaluation method based on abdominal muscle function and its system

The invention relates to the technical field of respiratory training evaluation, in particular to a personalized abdominal breathing training evaluation method and system based on abdominal muscle function.

Chest breathing mainly involves the coordinated action of Rib and Sternocostal muscles, causing the thoracic cavity and Abdominal cavity to expand and contract in different degrees during the breathing process, forming a chamber. The pressure difference between the two, and the airflow can smoothly enter and exit the lungs (Lung) to complete the breathing movement.

The abdominal respiratory system uses the coordinated action of Abdominal muscles to promote the expansion and contraction of the abdominal cavity volume to different degrees during the breathing process, indirectly affecting the changes in the chest pressure, and the airflow can smoothly enter and exit the lungs to complete the respiratory movement. Generally speaking, when inhaling, it is a characteristic of abdominal abdomen and abdomen depression. Because the indirect influence and the abdominal cavity are located below the chest cavity, this breathing mode is easy to generate deep air intake and strengthen the lungs. Half of the ventilation.

From the perspective of respiratory physiology, abdominal breathing has the characteristics of low respiratory rate, high intake air volume per unit of breathing, and less energy consumption. Therefore, abdominal breathing is more efficient than chest breathing, becoming a rehabilitation and yoga. One of the important learning projects such as Qigong.

Hybrid breathing includes chest and abdominal breathing.

From a physiological point of view, abdominal breathing can slow down the symptoms of respiratory diseases (such as chronic obstructive pulmonary disease, asthma, emphysema). Respiratory patients have lower intake air volume due to lower respiratory rate, resulting in faster ventilation, which in turn results in poorer breathing efficiency. Exercise abdominal breathing can reduce the chance of chest rib movement and relieve the symptoms of the disease. At the same time, abdominal breathing is easy to produce deep air intake, the deeper and slower the breathing, the lung alveoli can be well expanded, the alveoli are not easy to collapse, so the rehabilitation and postoperative care depends on abdominal breathing.

For patients with chest injury, the coordinated action of the original rib cage and the thoracic rib muscle group is difficult to perform under the condition of the patient, that is, it affects the normal chest breathing exercise. In this case, the patient needs to assist the patient to practice abdominal breathing to facilitate Oxygen supply.

From the perspective of exercise physiology, abdominal breathing produces a deep intake of air, which can enhance the ventilation of the lower half of the lungs. Therefore, it can enhance the breathing efficiency, promote the body's oxygen supply capacity, and strengthen the body's exercise capacity.

From a psychological point of view, abdominal breathing can be used as a technique to assist the mind to relax in clinical psychology. Many psychotherapies (psychological counseling) will be combined with abdominal breathing for better results. Slow breathing can activate the parasympathetic nerves, lower the heart rate and slow down anxiety. At the same time, abdominal breathing can make the various organs of the abdomen feel the stimulation of the breathing rhythm, thereby activating the parasympathetic Nerves make people feel relaxed. The vagus nerve in the parasympathetic nerve and many organs in the chest and abdomen (heart, lung, digestive tract, etc.) have a feedback relationship and can mutually adjust each other.

In the common abdominal breathing learning process, the rehabilitation teacher and the tutor need to be assisted by the side, and only ensure the learning effect in a specific training environment, and there is no guarantee that the user can practice the abdominal breathing effect by himself.

The abdominal muscles from the outer layer to the inner layer are: rectus abdominis, internal and external oblique muscles, and transverse abdominis muscles. The most influential respiratory is the transverse abdominis muscle, which is the innermost abdominal wall muscle. The starting position is the same as that of the diaphragm. Its transverse muscle fibers are at right angles to the longitudinal muscle fibers of the diaphragm. Therefore, abdominal muscle contraction forces the diaphragm to move up. The volume of the body cavity changes to complete the respiratory movement, which is abdominal breathing.

Some conventional techniques use a body surface potential sensor to measure changes in heart beats, and then use signal processing techniques to filter out respiratory frequency signals. Thus, the respiratory signal is indirect sensing and can only discuss the process of the chest affecting the heart. It is impossible to ensure the correctness of abdominal breathing. Some conventional techniques have a breathing training interface, which measures respiratory physiological data through clinical basic conditions, and then the user informs the user of the breathing condition. Thus, the user cannot be trained and self-tested at any time. At the same time, when performing breathing training or measurement, it is often necessary to wear a mask, which makes the user difficult to change and feel uncomfortable.

In the Announcement No. I392525 of the Republic of China, it provides a abdominal breathing training device that generates and provides a training waveform to the user to guide the user to the abdominal breathing method. However, it does not consider each The difference in abdominal muscles between users. Therefore, there is still room for improvement in the techniques of training and evaluation of abdominal breathing.

The object of the present invention is mainly to provide a personalized abdominal breathing training evaluation method and system based on abdominal muscle function, and therefore can be used to evaluate abdominal muscle function by judging the strength of muscles during performing an equal volume test, to achieve objective Abdominal Breathing (AB) learning effectiveness assessment, and consider the difference in abdominal muscles between each user, so that the training effect is far better than the well-known techniques.

According to a feature of the present invention, the present invention provides a personalized abdominal breathing training evaluation system based on abdominal muscle function, which is suitable for objectively evaluating a user's abdominal breathing benefit, the system comprising a first sensing unit, a second sensing unit, an information capturing unit, a data deconstructing unit, and an evaluation analyzing unit. The first sensing unit is adjacent to an abdomen of the user for measuring the amount of change in the abdominal displacement generated by the abdomen when the user breathes to obtain a plurality of abdominal breathing signals. The second sensing unit is adjacent to a chest of the user for measuring a change in chest displacement generated by the chest when the user breathes to obtain a plurality of chest breathing signals. The information capture unit is electrically coupled to the first sensing unit and the second sensing unit for generating a user's abdominal breathing waveform according to the measured plurality of abdominal breathing signals, and according to the quantity The plurality of chest breathing signals are measured to generate a user chest breathing waveform. The data deconstructing unit is electrically coupled to the information capturing unit to eliminate the abdominal breathing waveform and use of the user The noise in the chest breathing waveform is extracted and the main breathing component of the user's abdominal breathing waveform and the user's chest breathing waveform is extracted to generate an abdominal signal and a chest signal, respectively. The evaluation and analysis unit is electrically coupled to the data deconstruction unit, and calculates a correlation coefficient of the abdominal signal and the chest signal, a maximum and minimum expansion value of the 1/2 chest signal, and a reference according to the abdominal signal and the chest signal. The maximum and minimum interval length values of the abdominal signal, and calculating the energy consumed by the user's abdominal muscle group in performing the test according to the maximum and minimum expansion values of the 1/2 chest signal and the length values of the maximum and minimum intervals of the abdominal signal , which produces the maximum exercise capacity of the user's abdomen.

According to a feature of the present invention, the present invention provides a personalized abdominal breathing training evaluation method based on abdominal muscle function, which is suitable for training a user to use a personalized abdominal breathing training evaluation system based on abdominal muscle function. To perform a abdominal breathing training evaluation, the method comprises the steps of: (A) performing an equal volume test training by using the personalized abdominal breathing training evaluation system based on abdominal muscle function to generate a correlation coefficient, a 1/1 2 the maximum and minimum expansion values of the chest signal, and the maximum and minimum interval length values of the abdominal signal, and an energy loss index (m/s) that produces maximum exercise capacity; (B) by using the abdominal muscle group function The personalized abdominal breathing training evaluation system performs self-training to generate an energy consumption index (m/s) for self-training; (C) determines whether the energy consumption index (m/s) of the self-training is less than or equal to a threshold value. If yes, perform training effectiveness evaluation, if not, re-execute step (A).

100‧‧‧A personalized abdominal breathing training evaluation system based on abdominal muscle function

110‧‧‧First sensing unit

120‧‧‧Second sensing unit

130‧‧‧Information Capture Unit

140‧‧‧Data Deconstruction Unit

150‧‧‧Evaluation and analysis unit

111, 113‧‧‧ breathing belt

Step (A) ~ Step (C)

1 is a block diagram of a personalized abdominal breathing training evaluation system based on abdominal muscle function.

2A and 2B are diagrams showing the relationship between the chest and abdomen signals in the volumetric test of the present invention.

3 is a schematic diagram of an original respiratory signal of the present invention, which is decomposed using a complementary empirical mode disassembly method.

Fig. 4 is a schematic diagram showing the generation of an abdominal signal and a chest signal by the data deconstruction unit in the isovolume test of the present invention.

Figure 5 is a schematic diagram of the energy consumption index (m/s) of the present invention.

6 and 7 are schematic diagrams showing the energy consumption index (m/s) of the actual measurement of the present invention.

Figures 8 and 9 are schematic diagrams of energy consumption indicators (m/s) measured by actual measurements.

Figure 10 is a flow chart of a method for evaluating a personalized abdominal breathing training based on abdominal muscle function.

1 is a block diagram of a personalized abdominal breathing training evaluation system 100 based on abdominal muscle function, which is suitable for objective evaluation of a user. Abdominal breathing benefits. In the technical content disclosed in the present invention, the user will represent a person who uses the personalized abdominal breathing training evaluation system 100 based on the abdominal muscle function to perform the abdominal breathing benefit evaluation in person.

As shown in FIG. 1 , the system 100 includes a first sensing unit 110 , a second sensing unit 120 , an information capturing unit 130 , a data deconstructing unit 140 , and an evaluation analyzing unit 150 .

The first sensing unit 110 is adjacent to an abdomen of the user for measuring a change in abdominal displacement generated by the abdominal breathing from the user to obtain a plurality of abdominal breathing signals.

The second sensing unit 120 is adjacent to a chest of the user for measuring a change in chest displacement generated by the chest breathing from the user to obtain a plurality of chest breathing signals.

The first sensing unit 110 and the second sensing unit 120 respectively have a piezoelectric element (not shown) for acquiring the plurality of abdominal breathing signals of the user, and the information capturing unit 130 The plurality of abdominal breathing signals are measured to generate the abdominal breathing waveform of the user, and the information capturing unit 130 generates the chest breathing waveform of the user by integrating the measured plurality of chest breathing signals.

Referring to Figure 1, there are two breathing zones 111, 113 in the personalized abdominal breathing training evaluation system 100 based on abdominal muscle function. The breathing belts 111 and 113 are used to mount the first sensing unit 110 and the second sensing unit 120 on the waist and the chest of the user, and the first sensing unit 110 is adjacent to the user's abdomen. The measuring unit 120 is adjacent to the chest of the user. However, the present invention is not limited to the above. In other embodiments of the present invention, as long as the integrated breathing belt enables the first sensing unit 110 to be attached to the vicinity of the user's abdomen, and the second sensing unit 120 is attached In the vicinity of the user's chest, the two breathing bands 111, 113 can be integrated into a single breathing zone.

In this embodiment, the first sensing unit 110 is coupled to the breathing belt 111 and obtains an abdominal reference point from the breathing belt 111 to measure the abdominal breathing signal of the user. The second sensing unit 120 is coupled to the breathing belt 113 and obtains a chest reference point from the breathing belt 113 to measure the chest breathing signal of the user.

In other embodiments of the invention, the abdominal reference point can be obtained from two patches attached/placed on the front abdomen and opposite sides of the front abdomen of the user, respectively. Next, the first sensing unit 110 obtains an abdominal reference point from the two patches to measure the abdominal breathing signal of the user. However, it is easier for the user to actually use the embodiment of the breathing belt 111 having the first sensing unit 110. In some embodiments, the first sensing unit 110 can be coupled to the breathing belt 111, but in other embodiments, the first sensing unit 110 can be separated from the breathing belt 111 as a separate component. However, when the user wants to perform/perform abdominal breathing, the user can attach the first sensing unit 110 to the breathing belt 111. In this way, the first sensing unit 110 can measure the abdominal breathing signal of the user.

As above, the second sensing unit 120 can be coupled to the breathing belt 113, but in other embodiments, the second sensing unit 120 can be separated from the breathing belt 113 as a separate component. However, when the user wants to perform/breast breathing, the user can attach the second sensing unit 120 to the breathing belt 113. In this way, the second sensing unit 120 can measure the chest breathing signal of the user.

The information capture unit 130 is electrically coupled to the first sensing unit 110 and the second sensing unit 120 for measuring the plurality of belly according to the measured The breathing signal generates a user's abdominal breathing waveform, and generates a user's chest breathing waveform according to the measured plurality of chest breathing signals.

When the information capturing unit 130 captures the patient's abdominal breathing waveform and the user's chest breathing waveform, a breathing band is attached to the user's abdomen and chest, and the user sits on the chair and uses abdominal breathing and the like. A volume test to capture the abdominal breathing waveform of the user and the waveform of the user's chest breathing. The first sensing unit 110 and the second sensing unit 120 are configured to capture the plurality of chest breathing signals and the plurality of abdominal breathing signals when the user uses a abdominal breathing and an equal volume test.

The isodometric test was proposed by Professor K. Konno et al. in 1966 and was performed in a hernia state with a concave and abdomen motion.

The equal volume test is divided into three stages. The first stage is free breathing, the second stage is deep inhalation to closed air, and the third stage is equal volume test breathing. The user performs a concave and a tummy movement.

That is, the first stage of calm breathing (about 30 seconds), the second stage of deep inhalation (about 5 seconds) and helium, the third stage of alternating contraction and relaxation of the chest and abdomen muscles six times (total 24 Seconds, repeat this process 5 times in sequence. After inhaling the appropriate amount of air, the user holds the gas and alternates and relaxes the abdominal wall. When helium, no air can enter and exit the lungs, so the net volume change during this period is zero. Abdominal contraction will result in the same thoracic cavity dilatation. The relationship diagram of the chest and abdomen signals measured by the sensing unit shows that the displacement of the chest wall and the abdominal wall has a negative slope relationship and is in a reverse phase relationship.

By analyzing the sensing embedded in the breathing zone of the user The signal generated by the contraction intensity of the muscle group (abdominal breathing signal, chest breathing signal), the energy consumed by the abdominal muscle group during the test, and the function state of the abdominal muscle group, and the dynamic display test Abdominal muscle movement during the period

The relationship diagram of the chest and abdomen signals measured by the sensing unit shows that the displacement of the chest wall and the abdominal wall has a negative slope relationship, and the shape of the relationship can be used to know the energy consumed by the muscle group during the test. Therefore, using this feature, we can know the ability of the individual's abdominal muscles to contract and relax under zero net volume changes, and use this ability as a benchmark for subsequent evaluation of training effectiveness to ensure evaluation validity.

2A and 2B are diagrams showing the relationship between the chest and abdomen signals during the isometric test. The horizontal axis is the abdominal signal and the vertical axis is the chest signal. As shown in FIG. 2A and FIG. 2B, since the abdominal contraction will cause the same chest cavity expansion, the relationship diagram of the chest and abdomen signals measured by the sensing unit is a negative slope relationship showing the displacement changes of the chest wall and the abdominal wall. And it is a reverse phase relationship. Fig. 2A shows that the lowest energy consumption of the muscle group performs an equal volume test, which is the best muscle group exercise ability, and Fig. 2B shows that the muscle group consumes more energy to perform an equal volume test, and the muscle group exercise ability is inferior to that of Fig. 2A.

The data deconstructing unit 140 is electrically coupled to the information capturing unit 130 to eliminate the abdomen breathing waveform of the user and the noise in the chest waveform of the user, and extract the abdominal breathing waveform of the user and the user's chest breathing. The main respiratory components in the waveform to produce an abdominal signal and a chest signal, respectively.

The data deconstruction unit 140 uses a complementary empirical mode split Complementary ensemble empirical mode decomposition (CEEMD), and according to the user's abdominal respiratory waveform and the local characteristic time scale of the user's chest respiratory waveform, the user's abdominal respiratory waveform and the user's chest respiratory waveform are decomposed into multiple endogenes An Intrinsic Mode Function (IMF) extracts the main respiratory component of the user's abdominal respiratory waveform and the user's chest respiratory waveform to generate the abdominal signal and the chest signal, respectively.

The Complementary ensemble empirical mode decomposition: a novel noise enhanced data analysis method (2008) is based on empirical modality (CEEMD). Improved by the principle of the Empirical Mode Decomposition (EMD), the characteristics of the white noise contain all the frequency scale characteristics, and the white noise can be eliminated after the overall average, so that the disassembly is closer to the ideal state. The original and non-stable original breathing signals decompose the signal into multiple endogenous modeling state functions (IMFs) based on the local characteristic time scale of the signal.

Another important feature of the Complementary Empirical Mode Disassembly Method (CEEMD) is the way of positive and negative two-way supplementation with white noise, while overcoming the difficulty of mode mixing in the original EMD method and the computational efficiency of EEMD. The problem.

In Mode Mixing, the same scale signal is distributed among several endogenous modeling state functions (IMFs), or it represents an endogenous modeling state function (IMF) containing signals of different scales.

Figure 3 is a schematic representation of the original respiratory signal of the present invention using complementary Schematic diagram of the decomposition of the modal decomposition method (CEEMD). As shown in FIG. 3, the original respiratory signal is a abdominal breathing signal with a sampling frequency of 50 Hz and a sampling time of 5 minutes. The original respiratory signal is decomposed into 10 using a complementary empirical mode disassembly method (CEEMD). An endogenous modeling state function (IMF), and extracted the sixth endogenous modeling state function (IMF) as the main respiratory component.

4 is a schematic diagram showing the abdominal signal and the chest signal generated by the data deconstructing unit 140 by the original chest and abdomen signals obtained during the isodometric test of the present invention. It intercepts the chest and abdomen signals during the equal volume test at each stage for subsequent data deconstruction. As shown in FIG. 4, the chest and abdomen signals during an equal volume test are intercepted, and the abdominal signal and the chest signal are respectively generated by a complementary empirical mode disassembly method (CEEMD). The abdominal signal is decomposed into the sixth endogenous modeling state function (IMF) of the plurality of endogenous modeling state functions (IMF), and the chest signal is the chest breathing of the user. The waveform is decomposed into the sixth endogenous modeling state function (IMF) of the plurality of endogenous modeling state functions (IMFs). The primary respiratory component extracted by the data deconstruction unit 140 is preferably located at the sixth endogenous modeling state function (IMF) of the plurality of endogenous modeling state functions (IMFs).

The evaluation analysis unit 150 is electrically coupled to the data deconstruction unit 140, and calculates a correlation coefficient of the abdominal signal and the chest signal, a maximum and minimum expansion value of the 1/2 chest signal according to the abdominal signal and the chest signal, And the maximum and minimum interval length values of the abdominal signal, and calculating the wear and tear of the abdominal muscle group of the user according to the maximum and minimum expansion values of the 1/2 chest signal and the length values of the maximum and minimum intervals of the abdominal signal The energy that produces the maximum movement of the user's abdomen.

The correlation coefficient is used to show how accurate the volume test is performed. In the isometric test, abdominal contraction will cause the same thoracic cavity dilation. The relationship between the thoracic and abdominal signals measured by the sensing unit shows that the displacement of the chest wall and the abdominal wall is negatively sloped and in reverse phase relationship. As shown in Figure 2A. Therefore, when the user performs the correct volume test, the abdominal signal and the chest signal will have a negative correlation, as shown in FIG. 2A. Therefore, when the correlation coefficient is between [-1, -0.866], it indicates that the volumetric test is performed with a high degree of accuracy. When the correlation coefficient is between [-0.866, -0.5], it indicates that the volume test is performed correctly. Moderate, when the correlation coefficient is between [-0.5, 0], it indicates that the volumetric test is performed to a low degree of accuracy.

The evaluation analysis unit 150 calculates the energy consumed by the abdominal muscle group in performing the test, and the maximum exercise capacity of the user's abdomen can be known. The energy consumed by the energy consumption is expressed by an energy consumption index (m/s).

Figure 5 is a schematic diagram of the energy consumption index (m/s) of the present invention. As shown in Fig. 5, the chest signal is the vertical axis, the abdominal signal is the horizontal axis, m is 1/2 the maximum and minimum expansion of the chest signal, and the length parallel to the x-axis, s is the maximum and minimum abdominal signal. The length of the value interval. The energy consumption index (m/s) is the maximum and minimum expansion value (m) of the 1/2 chest signal divided by the maximum and minimum interval length values (s) of the abdominal signal.

The larger the energy loss index (m/s) value, the greater the energy lost during the execution of the isovolume test, and the greater the abdominal muscle group's maximum exercise capacity. 6 and 7 are schematic diagrams showing the energy consumption index (m/s) of the actual measurement of the present invention. As shown in Fig. 6, it presents a straight line with a negative slope, that is, its m is 0, so its energy consumption index (m/s) is 0, which is the best case. As shown in Figure 7 It shows that it presents a circle, that is, its m is equivalent to s, so its energy consumption index (m/s) is 1, which is the worst case.

Figures 8 and 9 are schematic diagrams of energy consumption indicators (m/s) measured by actual measurements. The m of Fig. 8 is 0.000474, the s is 0.003334, and the energy consumption index (m/s) is 0.1421. The m of Fig. 9 is 0.000116, the s is 0.002283, and the energy consumption index (m/s) is 0.0507. From the energy consumption index (m/s), the user of Fig. 9 has a better abdominal muscle group exercise ability.

10 is a flow chart of a personalized abdominal breathing training evaluation method based on abdominal muscle function, which is a personalized abdominal breathing training evaluation system 100 based on abdominal muscle function of the present invention. An objective assessment of the effectiveness of abdominal breathing training.

First, in step (A), an equal volume test training is performed by using the personalized abdominal breathing training evaluation system 100 based on abdominal muscle function to generate a correlation coefficient, a 1/2 chest signal maximum and minimum expansion. Value, and the maximum and minimum interval length values of an abdominal signal, and an energy loss index (m/s _{maximum exercise capacity} ) that produces maximum exercise capacity.

In step (B), self-training is performed by using the personalized abdominal breathing training evaluation system based on abdominal muscle function to generate an energy consumption index (m/s _{self-training mode} ) for _{self-training} .

In step (C), judging by the personalized threshold, determining whether the energy consumption index (m/s _{self-training mode} ) of the _{self-training} is less than or equal to a threshold, and if so, performing training effectiveness evaluation, if not, re-executing Step (A). That is, in step (C), At 0.7, perform a training effectiveness evaluation, or the threshold is The threshold is 1/0.7 times the energy consumption index (m/s) of the maximum exercise capacity.

It can be seen from the foregoing description that the Abdominal Breathing (AB) process is dominated by the abdominal muscle group, and the abdominal breathing (AB) process can be known from the changes of the thoracic and abdominal cavity. The present invention utilizes the measurement of a user's abdominal respiratory waveform. And the chest breathing waveform, and then use the complementary empirical mode disassembly method (CEEMD) to generate an abdominal signal and a chest signal, respectively, and use an isometric test to evaluate the abdominal breathing (AB) benefits. The intensity of the muscle is involved in performing an isometric test, so by judging the effectiveness of this exercise, it can be used to evaluate abdominal muscle function and achieve objective abdominal breathing (AB) learning effectiveness evaluation. At the same time, in self-training, an equal volume test is performed to obtain an energy loss index (m/s _{maximum exercise capacity} ) of a user's maximum exercise ability, and then self-training is performed. The present invention considers the belly of each user. The difference in muscle groups is much better than the well-known techniques.

At the same time, by the technology of the present invention, after understanding the initial state of the user's abdominal muscle group, two abdominal breathing training modes are performed, and in addition to providing an abdominal muscle group movement mode in real time, the user can better understand the abdominal muscle group. The status can be used to evaluate the effectiveness of the user's abdominal breathing training to complete the personalized assessment system.

The above-mentioned embodiments are merely examples for convenience of description, and the scope of the claims is intended to be limited to the above embodiments.

100‧‧‧A personalized abdominal breathing training evaluation system based on abdominal muscle function

110‧‧‧First sensing unit

120‧‧‧Second sensing unit

130‧‧‧Information Capture Unit

140‧‧‧Data Deconstruction Unit

150‧‧‧Evaluation and analysis unit

111, 113‧‧‧ breathing belt

Claims (10)

A personalized abdominal breathing training evaluation system based on abdominal muscle function, which is suitable for objectively evaluating a user's abdominal breathing benefit, the system comprising: a first sensing unit adjacent to an abdomen of the user For measuring the amount of change in abdominal displacement generated by the abdomen when the user breathes to obtain a plurality of abdominal breathing signals; a second sensing unit adjacent to a chest of the user for breathing from the user Measure the amount of chest displacement generated by the chest to obtain a plurality of chest breathing signals; a information capturing unit electrically coupled to the first sensing unit and the second sensing unit for measuring Detecting the plurality of abdominal breathing signals to generate a user's abdominal breathing waveform, and generating a user's chest breathing waveform according to the measured plurality of chest breathing signals; a data deconstructing unit electrically coupled to the information The capturing unit is configured to eliminate the abdomen breathing waveform of the user and the noise in the chest breathing waveform of the user, and extract the main breathing waveform of the user and the main waveform of the user's chest breathing waveform The respiratory component is configured to generate an abdominal signal and a chest signal respectively; and an evaluation unit is electrically coupled to the data deconstruction unit to calculate the abdominal signal and one of the chest signals according to the abdominal signal and the chest signal Coefficient, the maximum and minimum expansion values of a 1/2 chest signal, and the maximum and minimum interval length values of the abdominal signal, and based on the maximum and minimum expansion values of the 1/2 chest signal and the maximum and minimum interval length values of the abdominal signal Calculate the energy consumed by the user's abdominal muscles in performing the test, and produce the maximum exercise capacity of the user's abdomen. The personalized abdominal breathing training evaluation system based on the abdominal muscle function function of claim 1, wherein the first sensing unit and the second sensing unit respectively have the plurality of sensing units for acquiring the user a piezoelectric element of the abdominal breathing signal, and the information capturing unit generates the abdominal breathing waveform of the user by integrating the measured plurality of abdominal breathing signals, and the information capturing unit integrates the measured A plurality of chest breathing signals produce a chest breathing waveform of the user. The personalized abdominal breathing training evaluation system based on the abdominal muscle function function of claim 2, wherein the first sensing unit and the second sensing unit are used by the user to use a abdominal breathing and a In the isometric test, the plurality of chest breathing signals and the plurality of abdominal breathing signals are captured. For example, the personalized abdominal breathing training evaluation system based on abdominal muscle function function of claim 3, wherein the data deconstruction unit uses a complementary empirical mode disassembly method, and according to the user's abdominal respiratory waveform and use The local characteristic time scale of the chest respiratory waveform, the user's abdominal respiratory waveform and the user's chest respiratory waveform are decomposed into a plurality of endogenous modeling state functions, and the user's abdominal respiratory waveform and the user's chest respiratory waveform are extracted. The main respiratory component to generate the abdominal signal and the chest signal, respectively. An individualized abdominal breathing training evaluation system based on abdominal muscle function, according to claim 4, wherein the abdominal signal is a main breathing of the user's abdominal respiratory waveform decomposed into the plurality of endogenous modeling state functions. The component, the chest signal is a main respiratory component of the user's chest breathing waveform that is decomposed into the plurality of endogenous modeling state functions. A personalized abdominal breathing training evaluation system based on abdominal muscle function, as in claim 5, wherein the correlation coefficient is used to indicate the correctness of execution of the volumetric test. An individualized abdominal breathing training evaluation system based on abdominal muscle function, as in claim 6, wherein when the correlation coefficient is between [-1, -0.866], it indicates that the volumetric test is performed correctly. When the correlation coefficient is between [-0.866, -0.5], it indicates that the volumetric test is performed with a moderate degree of correctness. When the correlation coefficient is between [-0.5, 0], it indicates that the volumetric test is performed with a low degree of accuracy. For example, the personalized abdominal breathing training evaluation system based on abdominal muscle function function of claim 7 wherein the energy consumed is represented by an energy consumption index, which is the largest of the 1/2 chest signals. The minimum expansion value is divided by the maximum and minimum interval length values of the abdominal signal. A personalized abdominal breathing training evaluation method based on abdominal muscle function, which is suitable for training a user to perform a abdominal breathing training evaluation by using a personalized abdominal breathing training evaluation system based on abdominal muscle function. The method comprises the steps of: (A) performing isovolume test training by using the personalized abdominal breathing training evaluation system based on abdominal muscle function to generate a correlation coefficient, a maximum and minimum expansion value of a 1/2 chest signal, and An abdominal energy signal maximum and minimum interval length value, and an energy loss index that produces maximum exercise capacity; (B) self-training by using the personalized abdominal breathing training evaluation system based on abdominal muscle function to generate self-training An energy consumption index (m/s) of the training; and (C) determining whether the energy consumption index of the self-training is less than or equal to a threshold value, and if so, performing a training effectiveness evaluation, and if not, performing step (A) again. A method for evaluating a personalized abdominal breathing training based on abdominal muscle function according to claim 9 of the invention, wherein the threshold is 1/0.7 times the energy loss index of the maximum exercise capacity.