WO2020029161A1 - Breathing manner detection method, apparatus, processing device, and system - Google Patents

Abstract

The present invention is applicable in the field of medicine and provides a breathing manner detection method, apparatus, processing device, and system. The detection method can identify a breathing manner of the body in a certain period of time by means of a vibration sensor, and thus can analyze the breathing manner in each period of time during sleep and provide beneficial information and suggestions for improving the breathing manner. The breathing manner detection method in the present invention can be further used as a tool for evaluating the feedback on abdominal breathing or chest-abdominal breathing training results or feedback on time delay statistics so as to help people using chest breathing to gradually improve the breathing manner thereof.

Description

Breathing method, device, processing equipment and system Technical field

The invention belongs to the medical field, and particularly relates to a method, a device, a processing device and a system for detecting a breathing pattern.

Background technique

Respiration is one of the vital vital signs of the human body, which helps to understand the overall health of the human body and sleep quality. The monitoring of breathing patterns is of great significance for the prevention and diagnosis of respiratory diseases and the prevention and diagnosis of cardiovascular diseases.

Breathing can be divided into chest breathing, abdominal breathing and combined chest-belly breathing. Among them, chest breathing (also known as rib breathing method and horizontal breathing method) relies on the lateral expansion of the ribs to inhale, and the intercostal external muscles are used to lift the ribs to enlarge the rib cage. It is also called shoulder-type breathing, clavicle-style breathing, or high-chest breathing. Thoracic breathing completely uses the chest to control the breath. After the breath is sucked into the lungs, it is squeezed outward from the chest. In this breathing method, the lower lung lobes cannot be exercised. If they are used for a long time, the lungs will easily age, lose elasticity, and deteriorate their respiratory function. Metabolism, resulting in decreased resistance and suffering from respiratory diseases. Most people, especially women, use chest breathing, which is bad for their health in the long run.

Compared to chest breathing, abdominal breathing moves the diaphragm up and down. When inhaling, the diaphragm is sunk, and the abdomen and waist are enlarged as much as possible. When exhaling, Dan Tian should hold her breath and blow her breath out gradually and evenly. Abdominal deep breathing is a good way to strengthen the lungs. It not only makes up for the shortcomings of chest breathing, but also strengthens the alveoli in the lower and middle lung lobes during ventilation, thereby delaying aging, maintaining good elasticity, and preventing lung fibrosis. This breathing method can be learned, consolidated and mastered through training. It is a correct breathing method.

The chest-belly combined breathing method expands the chest, ribs, abdomen, and waist at the same time when inhaling, maximally inhaling the air, so that the amount of air inhaled by the lungs is larger than the previous two methods. In general, abdominal breathing should be learned first, then combined with chest expansion, which is combined chest-abdominal breathing.

Because the sensor is sensitive to pressure changes caused by changes in vibration displacement, the pressure changes caused by the exhalation and inhalation of the body are related to the measurement position of the sensor, and the breathing waveforms that may be obtained at different positions are different. Therefore, when the breathing mode is directly detected by the sensor, It is difficult to judge the body's exhalation and inhalation bands from the breathing waveform, and it is even more difficult to determine whether the breathing mode of the body under test is chest breathing, abdominal breathing or combined chest-abdominal breathing.

technical problem

The purpose of the present invention is to provide a method, a device, a computer-readable storage medium, a processing device, and a system for detecting a breathing pattern, which aim to solve the problem that it is difficult to determine the actual breathing pattern in the prior art method of obtaining a breathing waveform through a vibration sensor.

Technical solutions

A method for detecting a breathing mode includes the following steps:

Acquiring at least one vibration sensor an abdominal breathing signal waveform of the body during a period of time, and acquiring a reference breathing signal waveform that can characterize the body's exhalation and inhalation processes during the period of time;

Determining the synchronization of the waveform fluctuations of the abdominal breathing signal waveform and the reference breathing signal waveform during this time period. When the abdominal breathing signal waveform and the reference breathing signal waveform have opposite fluctuations within this time period, the body adopts chest breathing .

Further, the present invention also provides a breathing mode detection device, the detection device includes:

An acquisition module, configured to acquire an abdominal breathing signal waveform and a reference breathing signal waveform of the body during a period of time; and

A judging module for judging the synchronization between the abdominal breathing signal waveform and the fluctuations of the reference breathing signal waveform; when the abdominal breathing signal waveform is opposite to the fluctuations of the reference breathing signal waveform, determining that the body adopts a chest type Breathe.

Further, a computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements the steps of the breathing mode detection method of the present invention.

Further, the present invention also provides a breathing mode detection and processing device, including:

One or more processors;

Memory; and

One or more computer programs stored in the memory, wherein the computer program is configured to be executed by the processor, and is characterized in that the processor implements the breathing mode detection of the present invention when the processor executes the computer program Method steps.

Further, the present invention also provides a breathing mode detection system, the detection system includes:

A generation module configured to generate an abdominal breathing signal or a chest breathing signal waveform, and a reference breathing signal waveform; and

The breathing mode detection processing device of the present invention connected to the generating module.

Beneficial effect

In the present invention, the breathing mode of the body within a certain period of time is identified by the vibration sensor, so that the breathing mode of each time period during sleep can be analyzed, thereby providing useful information to the body to improve the breathing mode suggestion, and the breathing mode detection method in the invention It can also be used as a tool to evaluate the results of abdominal breathing or chest-abdominal combined breathing training or delayed statistical feedback, and help people with chest breathing to gradually improve their breathing patterns.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic flowchart of a breathing mode detection method according to an embodiment of the present invention.

2A-2B are schematic diagrams of chest data and abdominal data signals obtained in an embodiment of the present invention.

3A-3B are schematic diagrams of a BCG signal and a reference breathing signal collected in an embodiment of the present invention.

FIG. 4 is a schematic diagram illustrating the correspondence between the vibration sensor and the body position according to the embodiment of the present invention.

5A-5D are schematic diagrams of chest data, abdominal data, BCG signals, and reference breathing signal waveforms corresponding to chest breathing of the body in the embodiment of the present invention.

6A-6D are schematic waveform diagrams of chest data, abdominal data, BCG signals, and reference breathing signals corresponding to the body using abdominal breathing in the embodiment of the present invention.

7A-7D are schematic diagrams of chest data, abdominal data, BCG signals, and reference breathing signal waveforms corresponding to a combination of thoracoabdominal breathing by the body according to an embodiment of the present invention.

FIG. 8 is a schematic diagram of functional modules of a breathing mode detection device according to an embodiment of the present invention.

FIG. 9 is a schematic diagram of functional modules of a breathing mode detection and processing device according to an embodiment of the present invention.

FIG. 10 is a schematic diagram of functional modules of a breathing mode detection system according to an embodiment of the present invention.

Best Mode of the Invention

In order to make the objectives, technical solutions, and beneficial effects of the present invention clearer, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

In order to explain the technical solution of the present invention, the following description is made through specific embodiments.

As shown in FIG. 1, the method for detecting a breathing mode in the embodiment of the present invention includes the following steps:

S101: As shown in FIG. 2A-2B and FIG. 3A-3B, a plurality of vibration sensors are used to obtain the respiratory signal waveforms corresponding to the chest and abdomen of the body during a period of time, and to obtain the body's exhalation and inhalation during this period The reference breathing signal waveform of the gas process.

The vibration sensor includes an acceleration sensor, a pressure sensor, a displacement sensor, or a sensor that converts an equivalent amount of a physical quantity on the basis of acceleration, pressure, and displacement. In the embodiment of the present invention, the vibration sensor is an optical fiber sensor.

The vibration sensor collects an original vibration signal of the body, and the original vibration signal includes a body breathing signal, a heart beat signal, an environmental micro vibration signal, an interference signal caused by the body movement, and a noise signal of the circuit itself. Therefore, obtaining a breathing signal waveform by the vibration sensor includes filtering the original vibration signal to capture a breathing waveform signal. The filtering uses one or more combined filtering methods such as an IIR filter, a FIR filter, a wavelet filter, a zero-phase bidirectional filter, an average filter, and a smoothing filter. As shown in Figs. 2A and 2B, respectively, the chest data and the abdomen data signals, where the solid line represents the original vibration signal of the body, and the dashed line represents the waveform of the breathing signal captured from the original vibration signal through preprocessing such as filtering.

The reference breathing signal waveform is obtained from an original vibration signal collected by a vibration sensor, or obtained by an external means. The external means include end-expiratory carbon dioxide, monitoring nasal airflow intake and exhaust, monitoring electrocardiogram or pulse wave reverse push breathing, and the like.

In the embodiment of the present invention, the reference breathing signal waveform is obtained from the original vibration signal of the vibration sensor, specifically by selecting a better original vibration signal from the original vibration signal corresponding to the chest or abdomen, and then selecting the better original vibration signal from the comparison. The best original vibration signal is obtained from the Ballisticocardiogram (BCG) signal, and finally the reference breathing signal waveform corresponding to the exhalation and inhalation is obtained through the back-variation of the center rate of the BCG signal. Because the BCG signal collected from different positions of the body is basically the same except for the difference in signal strength. Therefore, based on the cardiopulmonary coupling principle, the breathing signal derived from the BCG signal will not change due to the different positions of the sensor collecting body. Specifically, in this case, the breathing signal waveform is inferred from the time difference between adjacent “J” peaks in the characteristic event in the BCG signal. As shown in Figures 3A-3B, the heartbeat detection characteristic peak "J" peak selected from the BCG signal is a relatively narrow spike, and there will be a sharper falling edge after the spike ends, gradually falling to the heartbeat The lowest point of the waveform. It is true that there is a difference between the "J" peak and the "J" peak of the classic BCG signal, but both represent the maximum value of a certain physical quantity of acceleration, pressure, and displacement induced by the ejection-induced vibration effect by the vibration sensor. "Describes the peak. The "J" peak of the filtered BCG signal is used for heartbeat division. After each "J" peak is detected, the interval between each "J" peak and the previous "J" peak is calculated as the "J-J" interval. Each interval time has been identified in the figure. The "J-J" interval at the first "J" peak is the same as the previous "J" peak time interval. The previous waveform is not drawn in the figure. The time at which each "J" peak is located is taken as the abscissa, and the "J-J" interval is used as the ordinate to plot the change in heartbeat width over time. Similarly, under the influence of the cardiopulmonary coupling effect, the "J" peak also presents a "high and low" contour along with the exhalation (inhalation) process. Based on the time-series waveform, methods such as linear interpolation, cubic spline fitting, polynomial fitting, etc. can be provided to extract the breathing waveform. FIG. 3B shows a breathing waveform obtained based on cubic spline fitting extraction. Compared with the breathing profile of the original data in FIG. 2, the frequency of the extracted breathing waveform is basically the same. The basic parameter breathing frequency can be calculated, and according to the cardiopulmonary coupling effect, it can be judged that the waveform goes to the lower part as the inspiration process. The waveform Going high is an exhalation process.

In the embodiment of the present invention, the reference breathing signal waveform is derived by using the same event event interval of BCG signals as time changes. It can be understood that in other embodiments, the time interval of different characteristic events in a single cardiac cycle in BCG signals can be changed with time. The variation derives the reference breathing signal waveform.

As shown in FIG. 4, the vibration sensor 10 is placed on a contact surface behind a flat body. Understandably, the vibration sensor 10 may be further placed on a contact surface behind the supine body at a certain inclination angle, a wheelchair or other contact surface on the back of the body. In the embodiment of the present invention, the vibration sensor 10 includes at least one first sensor 11 corresponding to the chest of the body and at least one second sensor 12 corresponding to the abdomen of the body.

S102: As shown in FIG. 5-7, determine whether the chest breathing signal waveform, the abdominal breathing signal waveform, and the reference breathing signal waveform are synchronized in the same period of time: within a period of time, when the chest breathing signal waveform and the reference The fluctuation of the respiratory signal waveform is consistent, and when the waveform of the abdominal breathing signal is opposite to the fluctuation of the reference breathing signal waveform, it is judged that the body performs chest breathing during this period of time; within a period of time, when the abdominal breathing When the signal waveform is the same as the reference breathing signal waveform, and the chest breathing signal waveform is opposite to the reference breathing signal waveform, it is determined that the body is performing abdominal breathing during this time period; within a time period, when the When the chest breathing signal waveform, the abdominal breathing signal waveform, and the reference breathing signal waveform are all the same, it is determined that the body is performing thoraco-abdominal breathing.

Specifically, it is judged that the chest breathing signal waveform, the abdominal breathing signal waveform, and the reference breathing signal waveform are synchronized in the same time period: within a time period, when the peak / valley of the chest breathing signal waveform and the reference breathing signal waveform are Corresponding to the peak / valley of the body, and when the peak / valley of the abdominal breathing signal waveform corresponds to the valley / peak of the reference breathing signal waveform, it is determined that the body performs chest breathing during this period of time; within a period of time When the crest / valley of the abdominal breathing signal waveform corresponds to the crest / valley of the reference breathing signal waveform, and the crest / valley of the chest breathing signal waveform corresponds to the trough / peak of the reference breathing signal waveform, It is determined that the body performs abdominal breathing during this time period; within a time period, when the peak / valley of the chest breathing signal waveform, the peak / valley of the abdominal breathing signal waveform, and the peak / valley of the reference breathing signal waveform are equal When corresponding, judge the body to perform thoracoabdominal combined breathing.

5A-5D sequentially show the chest data signal, abdominal data signal, BCG signal, and reference breathing signal waveform of the body collected in the same time period. Among them, FIGS. 5A-5B show that in the chest data signal and the abdomen data signal, the solid line represents the original vibration signal, and the dashed line represents the respiratory signal waveform after preprocessing such as filtering the original vibration signal. Figure 5C is the BCG signal of the body during the same period of time. The BCG signal can be obtained by the original vibration signal of Figure 5A or 5B, or it can be obtained by synchronously collecting the original vibration signal of other parts of the body through a vibration sensor, or BCG signals of the body collected by other sensors simultaneously. The reference breathing signal waveform in FIG. 5D is obtained based on the heart rate variability of the BCG signal in FIG. 5C. By analyzing FIG. 5A-5D, it can be known that in a period of time, the peak / valley of the chest breathing signal waveform is consistent with the peak / valley of the reference breathing signal waveform, and the crest / valley of the abdominal breathing signal waveform is The valley / peak of the reference breathing signal waveform corresponds, thereby judging that the body adopts chest breathing.

6A-6D sequentially show the chest data signal, abdominal data signal, BCG signal, and reference breathing signal waveform of the body collected in the same time period. Among them, the solid line in the chest data signal and the abdominal data signal represents the original vibration signal, and the dashed line represents the respiratory signal waveform after preprocessing such as filtering the original vibration signal. The BCG signal can be obtained by the original vibration signal of FIG. 6A or FIG. 6B, and can also be obtained by synchronously collecting the original vibration signal of other parts of the body through a vibration sensor, or the body BCG signal collected by other sensors. The reference breathing signal waveform shown in FIG. 6D is obtained by inverse calculation based on the heart rate variability of the BCG signal described in FIG. 6C. By analyzing FIG. 6A-6D, it can be known that in a period of time, the peak / valley of the waveform of the abdominal breathing signal corresponds to the peak / valley of the reference breathing signal waveform, and the peak / valley of the chest waveform corresponds to the With reference to the valley / peak correspondence of the breathing signal waveform, it is determined that the body has adopted abdominal breathing during this time period.

7A-7D sequentially show the chest data signal, abdominal data signal, BCG signal, and reference breathing signal waveform of the body collected in the same time period. Among them, the solid line in the chest data signal and the abdominal data signal represents the original vibration signal, and the dashed line represents the respiratory signal waveform after preprocessing such as filtering the original vibration signal. The BCG signal can be obtained by the original vibration signal of FIG. 7A or FIG. 7B, and can also be obtained by synchronously collecting the original vibration signal of other parts of the body through a vibration sensor, or the body BCG signal synchronously collected by other sensors. The reference breathing signal waveform shown in FIG. 7D is obtained by inverse calculation based on the heart rate variability of the BCG signal shown in FIG. 7C. By analyzing FIG. 7A-7D, it can be known that in a time period, the chest breathing signal waveform, the abdominal breathing signal waveform, and the peak / valley of the reference breathing signal waveform all correspond, so the body adopts the chest and abdomen in this time period. Joint breathing.

In the embodiments of the present invention, three breathing modes, namely, chest breathing, abdominal breathing, and chest-abdominal combined breathing, are used for description. However, for those skilled in the art, when it is only necessary to detect whether the body is thoracic or non-thoracic breathing, or abdominal and non-abdominal breathing, and thoraco-abdominal breathing and non-thoraco-abdominal breathing, depending on the specific situation You only need to deploy corresponding sensors in the body, and then judge the body's breathing mode by the above method. For example, when only relying on the abdominal signal, in a period of time, when the peak / valley of the abdominal breathing signal waveform corresponds to the valley / peak of the reference breathing signal, then it is determined that the body adopts chest breathing during this period; the waveform of the abdominal breathing signal The peak / valley corresponds to the peak / valley of the reference breathing signal, so the judging machine uses non-thoracic breathing.

In the embodiment of the present invention, the breathing mode of the body within a certain period of time is identified by the vibration sensor, so that the breathing mode of each time period during sleep can be analyzed, thereby providing useful information to the body to improve the breathing mode suggestion. The breathing mode in the present invention The detection method can be used as a tool to evaluate the feedback of abdominal breathing or chest-abdominal combined breathing training results or delayed statistical feedback, and help people with chest breathing to gradually improve their breathing patterns.

Further, as shown in FIG. 8, the present invention further provides a breathing mode detection device 200. The breathing mode detection device 200 includes an obtaining module 210 and a determining module 220.

The obtaining module 210 is configured to obtain the abdominal breathing signal waveform, the chest breathing signal waveform, and the reference breathing signal waveform of the body during a period of time.

The determining module 220 is configured to determine synchronization between the abdominal breathing signal waveform and the reference breathing signal waveform in the time period, when the abdominal breathing signal waveform and the reference breathing signal waveform fluctuate. When the sex is opposite, it is judged that the body adopts chest breathing.

The determination module 220 may be further configured to determine synchronization of the abdominal breathing signal waveform, the chest breathing signal waveform, and the reference breathing signal waveform. When the waveform of the abdominal breathing signal is the same as the waveform of the reference breathing signal, and the waveform of the chest breathing is opposite to the waveform of the reference breathing signal, it is determined that the body adopts abdominal breathing. When the undulations of the chest breathing signal waveform, the abdominal breathing signal waveform, and the reference breathing signal waveform are all the same, it is determined that the body adopts thoracoabdominal combined breathing.

The breathing mode detection device of the present invention and the breathing signal detection method of the present invention belong to the same inventive concept, and the specific implementation process thereof can be referred to the entire description of the entire specification, and is not repeated here.

Further, the present invention also provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method in the breathing mode detection method according to the embodiment of the present invention is implemented. step.

Further, as shown in FIG. 9, the present invention further provides a breathing mode detection processing device 300, which includes one or more processors 310, a memory 320, and one or more computer programs. The processor 310 is connected to the memory 320 through a bus, and the one or more computer programs are stored in the memory 320 and configured to be executed by one or more processors 310, which are executed by the processor 310 The computer program implements steps in the breathing mode detection method in the embodiment of the present invention.

Further, as shown in FIG. 10, the present invention also provides a breathing mode detection system 400, which includes:

A generating module 410 configured to generate an abdominal breathing signal waveform, a chest breathing signal waveform, and a reference breathing signal waveform; and

The breathing mode detection and processing device 300 according to the present invention connected to the generating module 410.

In the embodiment of the present invention, the generating module 410 includes a plurality of vibration sensors for generating an abdominal breathing signal waveform, a chest breathing signal waveform, and a reference breathing signal waveform.

A person of ordinary skill in the art may understand that all or part of the steps in the various methods of the foregoing embodiments may be implemented by a program instructing related hardware. The program may be stored in a computer-readable storage medium. The storage medium may include: Read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks, etc.

The above description is only the preferred embodiments of the present invention, and is not intended to limit the present invention. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention shall be included in the protection of the present invention. Within range.

Claims (19)

A method for detecting a breathing mode includes the following steps: Acquiring at least one vibration sensor an abdominal breathing signal waveform of the body during a period of time, and acquiring a reference breathing signal waveform that can characterize the body's exhalation and inhalation processes during the period of time; Determining the synchronization of the waveform fluctuations of the abdominal breathing signal waveform and the reference breathing signal waveform during this time period. When the abdominal breathing signal waveform and the reference breathing signal waveform have opposite fluctuations within this time period, the body adopts chest breathing . The detection method according to claim 1, wherein the vibration sensor comprises an acceleration sensor, a pressure sensor, a displacement sensor, or a sensor that converts an equivalent amount of a physical quantity based on acceleration, pressure, and displacement. The detection method according to claim 2, characterized in that: the vibration sensor is placed on a contact surface behind a human body lying supine, a contact surface behind a human body lying supine within a predetermined tilt angle range, or a reclining human body that can lean on an object Contact surface behind. The detection method according to claim 1, wherein the acquiring the abdominal breathing signal waveform of the body in a period of time by using at least one vibration sensor comprises: acquiring the original vibration signal corresponding to the body's abdomen through the vibration sensor, and The original vibration signal is filtered to obtain the abdominal breathing signal waveform. The detection method according to claim 1, wherein the obtaining a reference breathing signal waveform that can characterize an expiration and inhalation process of the body during the time period comprises: obtaining the original vibration signal of the body through the vibration sensor, and The original vibration signal includes filtering and scaling to obtain a BCG signal, and then obtains the reference breathing signal waveform by linear interpolation, cubic spline fitting, or polynomial fitting through a time interval of characteristic events in the BCG signal waveform. . The detection method according to claim 1, wherein the acquiring a reference breathing signal waveform that can characterize the body's exhalation and inhalation processes during this time period comprises: monitoring end-expiratory carbon dioxide, monitoring nasal airflow and air intake and outlet 1. Monitor one or more of the ECG or pulse wave modes to obtain the reference breathing signal waveform. The detection method according to claim 5, characterized in that when filtering the original vibration signal, an IIR filter, a FIR filter, a wavelet filter, a zero-phase bidirectional filter, and a polynomial simulation are used according to the requirements of the filtered signal characteristics. Combine one or more of the smoothing filters to filter and denoise the original vibration signal. The detecting method according to claim 1, characterized in that: the waveform fluctuations of the abdominal breathing signal waveform and the reference breathing signal waveform within the time period are determined to be synchronous, and when the abdominal breathing signal waveform and the reference breathing signal waveform are at When the ups and downs are reversed in the time period, the body adopts chest breathing specifically including: Determine the synchronization of the abdominal breathing signal waveform with the peak / valley of the reference breathing signal waveform during the time period, and when the peak / valley of the abdominal breathing signal waveform corresponds with the valley / peak of the reference breathing signal waveform, The body uses chest breathing. A method for detecting a breathing pattern includes the following steps: Obtain the abdominal breathing signal waveform and chest breathing signal waveform of the body over a period of time through the vibration sensor, and obtain the reference breathing signal waveforms that can characterize the body's exhalation and inhalation process during this period; Determining the synchronization of the waveform of the abdominal breathing signal, the waveform of the chest breathing signal, and the waveform of the reference breathing signal during this time period. When the waveform of the chest breathing signal is the same as the waveform of the reference breathing signal, When the waveform of the abdominal breathing signal is undulating with the waveform of the reference breathing signal, the body adopts chest breathing. The detection method according to claim 9, characterized in that when the waveform of the chest breathing signal is opposite to the waveform of the reference breathing signal, and the waveform of the abdominal breathing signal is the same as the waveform of the reference breathing signal, then The body uses abdominal breathing; when the chest breathing signal waveform, the abdominal breathing signal waveform, and the undulations are the same, the body uses thoraco-abdominal breathing. The detection method according to claim 9, characterized in that when the chest breathing signal waveform has the same fluctuation as the reference breathing signal waveform, and the abdominal breathing signal waveform has the opposite fluctuation of the reference breathing signal waveform, The body uses chest breathing, which includes: When the peak / valley of the chest breathing signal waveform corresponds to the peak / valley of the reference breathing signal waveform, and the crest / valley of the abdominal breathing signal waveform corresponds to the valley / peak of the reference breathing signal waveform, the body Use chest breathing. The detection method according to claim 10, wherein when the waveform of the chest breathing signal is opposite to the waveform of the reference breathing signal, and the waveform of the abdominal breathing signal is the same as the waveform of the reference breathing signal, then The body uses abdominal breathing; when the undulations of the chest breathing signal waveform, the abdominal breathing signal waveform, and the reference breathing signal waveform are all the same, the body uses thoraco-abdominal breathing, which specifically includes: When the peak / valley of the chest breathing signal waveform corresponds to the peak / valley of the reference breathing signal waveform, and the peak / valley of the abdominal breathing signal waveform corresponds to the peak / valley of the reference breathing signal waveform, the body adopts Abdominal breathing; when the peak / valley of the chest breathing signal waveform, the peak / valley of the abdominal breathing signal waveform, and the peak / valley of the reference breathing signal waveform all correspond, the body adopts thoraco-abdominal breathing. The detection method according to claim 10, wherein the vibration sensor comprises at least a first vibration sensor and at least a second vibration sensor, and the first vibration sensor corresponds to a waveform of a chest breathing signal detected by the body, and the second The vibration sensor correspondingly detects the signal waveform of the abdominal breathing signal of the body. A breathing mode detection device, characterized in that the detection device includes: An acquisition module, configured to acquire an abdominal breathing signal waveform and a reference breathing signal waveform of the body during a period of time; and A judging module for judging the synchronization between the abdominal breathing signal waveform and the fluctuations of the reference breathing signal waveform; when the abdominal breathing signal waveform is opposite to the fluctuations of the reference breathing signal waveform, determining that the body adopts a chest type Breathe. The breathing pattern detection device according to claim 14, wherein the acquisition module further acquires a chest breathing signal waveform of the body during the time period, and the judgment module further judges the chest breathing signal waveform and the reference The synchronization of the respiratory signal waveform. When the waveform of the abdominal breathing signal is the same as the waveform of the reference breathing signal, and the waveform of the chest breathing is opposite to the waveform of the reference breathing signal, it is determined that the body adopts abdominal breathing. . The breathing pattern detection device according to claim 15, wherein the determining module further determines that when the fluctuations of the chest breathing signal waveform, the abdominal breathing signal waveform, and the reference breathing signal waveform are the same , Judging the body using chest and abdomen combined breathing. A computer-readable storage medium storing a computer program, characterized in that, when the computer program is executed by a processor, the method for detecting a breathing method according to any one of claims 1 to 13 is implemented. step. A breathing mode detection and processing device, including: One or more processors; Memory; and One or more computer programs stored in the memory, the computer programs being configured to be executed by the processor, characterized in that, when the processor executes the computer program, the method is implemented as claimed in claims 1 to 13. The steps of any one of the breathing pattern detection methods. A breathing mode detection system, characterized in that the detection system includes: A generation module configured to generate an abdominal breathing signal or a chest breathing signal waveform, and a reference breathing signal waveform; and The breathing mode detection and processing device according to claim 18, connected to the generating module.