Wearable respiratory training tool and training method

Abstract

The invention provides a wearable respiratory training tool and a training method, and relates to the technical field of respiratory training. The wearable respiratory training tool comprises close-fitting shaping clothes, a chest contour monitoring part, an abdomen contour monitoring part and a shoulder and back state monitoring part. The chest contour monitoring part and the abdomen contour monitoring part are made of flexible strain materials and used for monitoring the chest breathing mobility and the abdomen breathing mobility of a user. The shoulder and back state monitoring part comprises a back pressure monitoring part and / or a shoulder state monitoring part; the back pressure monitoring part comprises pressure sensors which are arranged on the back of the body shaping clothes and used for monitoring the back lifting state of the user; the shoulder state monitoring part is made of a flexible strain material, is arranged in the shoulder area of the close-fitting shaping garment and is used for monitoring the shoulder lifting state of the user. The breathing mode monitoring accuracy can be improved, targeted breathing training is carried out, and the breathing training effect on the user is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of respiratory training, and in particular to a wearable respiratory training tool and a training method. BACKGROUND

[0002] In radiotherapy, tumors in the area affected by respiratory motion often need to sacrifice more normal tissue to achieve the effect of not missing the target. Deep inspiration breath-hold can limit the motion of part of the tumor or reduce the motion range, which can improve the irradiation accuracy and reduce the side effects without missing the target. Currently, there are devices such as AlignRT and catalyst in clinical practice that can reflect the breath-hold state by observing the body surface contour information.

[0003] However, in order to make the body surface contour reach the standard, some patients will have false actions to compensate, such as lifting the back, raising the shoulders, etc. to cover up the problem of insufficient inspiration volume. At the same time, such optical body surface devices are expensive and are generally equipped in the treatment room, which cannot meet the requirements of self-training of patients, and also cannot feedback the breath-hold practice state of the patients. SUMMARY

[0004] The present application provides a wearable respiratory training tool and a training method to solve the problem of poor effect of existing respiratory training tools.

[0005] In a first aspect, the present application provides a wearable respiratory training tool, comprising a body-hugging garment, a chest contour monitoring part, an abdominal contour monitoring part, and a shoulder and back state monitoring part: The chest contour monitoring part is made of flexible strain material and is arranged around the chest area of the body-hugging garment to monitor the chest breathing degree of the user. The abdominal contour monitoring part is made of flexible strain material and is arranged around the abdominal area of the body-hugging garment to monitor the abdominal breathing degree of the user. The shoulder and back state monitoring part includes a back pressure monitoring part and / or a shoulder state monitoring part. The back pressure monitoring part includes a pressure sensor arranged on the back of the body-hugging garment to monitor the lifting state of the back of the user. The shoulder state monitoring part is made of flexible strain material and is arranged on the shoulder area of the body-hugging garment to monitor the lifting state of the shoulder of the user.

[0006] In a second aspect, the present application provides a respiratory training method, comprising: Based on the wearable respiratory training tool in any one of the above first aspect or the possible implementation manners of the first aspect, one or more of the lifting state of the back, the lifting state of the shoulder, and the head movement state of the user are obtained. determine whether the user's respiratory action is compensatory based on one or more of a user's back lifting state, shoulder lifting state, and head movement state; If not, identify the user's breathing pattern based on the user's chest breathing amplitude and abdominal breathing amplitude; Conduct respiratory training on the user based on changes in the user's breathing pattern.

[0007] In a third aspect, an electronic device is provided, including a memory and a processor, the memory storing a computer program, and the processor implementing the method in the second aspect or any possible implementation manner of the second aspect when executing the computer program.

[0008] In a fourth aspect, a computer readable storage medium is provided, the computer readable storage medium storing a computer program, and the computer program implementing the method in the second aspect or any possible implementation manner of the second aspect when executed by a processor.

[0009] The wearable respiratory training tool and training method provided by the present application can monitor the chest breathing amplitude and abdominal breathing amplitude of the user through the flexible strain material, can identify and monitor the breathing pattern (chest breathing, abdominal breathing, and chest-abdominal combined breathing) of the user, and can identify whether the user covers the chest wall amplitude by the wrong way of lifting the back through the pressure sensor of the back pressure monitoring part and whether the user lifts the front chest wall by the way of shrugging through the shoulder state monitoring part, thereby improving the accuracy of the respiratory pattern monitoring, and conducting targeted respiratory training to improve the respiratory training effect on the user. BRIEF DESCRIPTION OF DRAWINGS

[0010] Figure 1 is a structural schematic diagram of a wearable respiratory training tool provided by an embodiment of the present application; Figure 2 is an implementation flowchart of a respiratory training method provided by an embodiment of the present application; Figure 3 is a schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0011] The embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0012] Figure 1 is a structural schematic diagram of a wearable respiratory training tool provided by an embodiment of the present application. As shown in Figure 1 a wearable respiratory training tool includes a body-hugging garment, a chest contour monitoring part, an abdominal contour monitoring part, and a shoulder-back state monitoring part: The chest contour monitoring part 11 is made of flexible strain material, and is arranged around the chest area of the body shaping garment, for monitoring the chest breathing movement of the user; The abdomen contour monitoring part 12 is made of flexible strain material, and is arranged around the abdomen area of the body shaping garment, for monitoring the abdomen breathing movement of the user; The shoulder and back state monitoring part includes a back pressure monitoring part 13 and / or a shoulder state monitoring part 14; The back pressure monitoring part 13 includes a pressure sensor, and is arranged on the back of the body shaping garment, for monitoring the back lifting state of the user; The shoulder state monitoring part 14 is made of flexible strain material, and is arranged around the shoulder area of the body shaping garment, for monitoring the shoulder lifting state of the user.

[0013] In the embodiment, the applicant finds that the existing optical body surface device has the following deficiencies: a. The optical body surface device only observes the body surface contour, and does not supervise the overall breathing mode (chest breathing, abdomen breathing and chest and abdomen combined breathing); b. The existing device can only detect the body surface contour, and the patient can cover the chest wall movement by lifting the back in the wrong way, which cannot be found by the existing device; c. The patient can lift the front chest wall by shrugging the shoulders, which cannot be found by the existing device; d. The optical body surface device is expensive, and needs to be stably fixed on the ceiling, which cannot meet the standard breathing training of the patient in the environment outside the hospital; e. The existing device only describes the breathing training essentials orally, but cannot verify whether the standard is met in the self-training process.

[0014] To this end, in the embodiment, the body contour of the trainer is reflected by the form of the body shaping garment, the body shaping garment is made of fabric with certain elasticity and close to the human body curve, and can tightly wrap the torso and shoulders. By using the gapless fitting of the garment and the body surface, the physical movements such as the chest and abdomen fluctuation, torso posture change and the like during human breathing can be completely transmitted to the garment body, so as to indirectly reflect the dynamic characteristics of the human body contour through the shape change of the garment.

[0015] Then, flexible strain materials (such as flexible resistance strain sheets, optical fiber sensors and the like) are built in the key parts of the chest, abdomen and shoulders of the garment. These materials have the physical characteristics of changing electrical or optical characteristics with shape change. When the human body breathes or changes posture, the body contour of the corresponding part expands or contracts, which pulls or relaxes the flexible material, so that the length of the flexible material changes slightly. The sensor can convert this length change into quantifiable electrical signals (such as resistance change) or optical signals (such as light intensity change), so as to accurately capture the human body movement.

[0016] Different breathing modes have characteristic body movement rules: chest breathing is mainly characterized by chest fluctuation, and abdominal movement is weak; abdominal breathing is mainly characterized by abdominal fluctuation; chest and abdominal breathing is characterized by chest and abdominal movement. By analyzing the signal change amplitude and time synchronization of the chest and abdominal flexible materials, different breathing modes can be accurately distinguished. At the same time, the chest wall lifting amplitude is directly related to the change amount of the chest and abdominal contour circumference, and by calculating the maximum length change value collected by the chest and abdominal sensors within a certain time, the amplitude of the chest wall lifting can be quantitatively evaluated, so as to judge whether the breathing depth meets the standard.

[0017] When breathing normally, the shoulder should be relatively stable, and the wrong breathing mode may be accompanied by unconscious shoulder raising action (shoulder lifting, scapular adduction). The flexible material equipped on the shoulder is attached to the trapezius muscle and the shoulder muscle area, and when the shoulder raising action occurs, the longitudinal size of the shoulder contour will change, causing the flexible material to be pulled, and the length change signal will be significantly enhanced. By monitoring the change intensity of the signal of this part, it can be judged whether the patient has shoulder raising state, so as to correct the wrong breathing mode with excessive participation of auxiliary muscle groups.

[0018] Correct deep breathing training requires keeping the trunk stable and avoiding compensatory breathing caused by excessive extension of the waist (back lifting). The back pressure-sensitive element (such as a piezoresistive sensor) is installed on the muscle group area on both sides of the thoracic and lumbar vertebrae of the back, and its resistance value will change with the change of the pressure it bears. When the patient has back lifting action, the pressure between the back and the clothes increases, and the resistance value of the pressure-sensitive element changes significantly, so the system can judge the abnormality of the trunk posture and trigger an alarm to ensure the standardization of the body posture during training.

[0019] Figure 1 The layout position and number of each part of the sensor shown are only for illustration. In actual use, the layout position, number and sensitivity of the pressure sensor and flexible strain material can be adjusted according to actual needs and the physical condition of the user. For example, the pressure sensor can be arranged on the upper back and lower back, different lengths of flexible materials are arranged on the chest, abdomen and shoulder of the body shaping clothes for users with different body dimensions, and different sensitivity stretch strain sensors are selected according to the length of the flexible material. The smaller the length of the flexible material, the higher the sensitivity of the stretch strain sensor.

[0020] The embodiment of the present application can monitor the chest respiratory amplitude and abdominal respiratory amplitude of the user through the flexible strain material, can identify and monitor the breathing mode (chest breathing, abdominal breathing and chest and abdominal combined breathing) of the user, and through the pressure sensor of the back pressure monitoring part, can identify whether the user covers the chest wall amplitude by the wrong way of lifting the back, and through the shoulder state monitoring part, can identify whether the user lifts the front chest wall by the way of shrugging shoulders, thereby improving the accuracy of the breathing mode monitoring, and carrying out targeted breathing training, and improving the breathing training effect of the user.

[0021] Based on the breathing training tool provided by the embodiment, the following beneficial effects can be achieved: Standard breathing training can be carried out without leaving the treatment environment: with the portability and self-monitoring function of the wearable device, the user can complete the breathing training conforming to the medical standard at home, office and other daily scenes without relying on the professional equipment and site of the hospital, breaking the time and space limit.

[0022] The treatment time caused by the insufficient breath-holding state caused by the insufficient training of the patient is reduced: the system ensures that each training reaches the preset standard by monitoring the key parameters such as the breathing depth and the breath-holding time in real time, avoids the slow improvement of the breath-holding ability caused by the insufficient training amount, and thereby shortens the overall treatment cycle.

[0023] The treatment effect difference caused by the insufficient training is reduced: the standardized training monitoring and feedback mechanism can ensure that the training quality of different users or the same user at different times remains consistent, reduces the treatment effect fluctuation caused by the individual training difference, and improves the treatment effect stability.

[0024] The economic loss caused by the adjustment of the original scheme due to the insufficient training is reduced: by ensuring the training effect, the additional medical costs (such as repeated inspection, scheme revision, prolonged hospitalization time, etc.) caused by the adjustment of the scheme are reduced, and the utilization efficiency of medical resources is improved.

[0025] The self-confidence of the patient is improved, which is helpful for the promotion of the overall treatment course: the system can intuitively feel the training effect of the user through the real-time feedback of the training standard (such as voice encouragement and progress visualization), enhance the motivation of adhering to the treatment, and promote the smooth progress of the treatment course.

[0026] The training tool has low cost and is wearable compared with the optical body surface device: compared with the traditional optical motion capture device, the flexible sensor and the shaped clothes have lower manufacturing cost, and have the characteristics of light weight and wearability, are suitable for long-term daily use, and reduce the economic burden of the user.

[0027] Simple operation and autonomous training completion without the assistance of others: The device adopts a one-key start, automatic monitoring, and voice guidance design, allowing users to independently complete the training without professional knowledge, reducing the dependence on medical personnel or family members, and improving the convenience of training.

[0028] The device is not only used for deep inhalation and breath-holding training, but also for postoperative lung recovery training and respiratory stability training: By adjusting the monitoring parameters and training programs, the device can adapt to different scene requirements, such as helping postoperative lung patients to gradually recover respiratory function, or assisting anxious people to perform respiratory stability training to alleviate symptoms.

[0029] Problems in breathing training can be clearly identified through voice guidance, which facilitates timely correction: When an incorrect breathing pattern (such as shoulder raising, back lifting, and shallow breathing) is detected, the system will point out the problem through precise voice prompts (such as please relax your shoulders, and insufficient abdominal effort), helping users to adjust immediately and ensuring the standardization of training movements.

[0030] In one possible implementation, a breathing mask is further included; The breathing mask has a gas flow meter for monitoring the user's inhalation gas flow and / or exhalation gas flow.

[0031] In this embodiment, the breathing mask adopts a sealed mouth and nose mask design, and integrates a gas flow meter at its breathing channel. The mask also has a gas leakage alarm device inside, which can issue an alarm to remind the user when the detected gas leakage amount exceeds the preset range. The gas flow meter can accurately reflect the user's inhalation and exhalation volumes: during inhalation, the gas volume recorded by the mask's air inlet is the actual inhalation gas volume; during exhalation, the gas volume recorded by the mask's air outlet is the actual exhalation gas volume.

[0032] In one possible implementation, a head balancing device is further included; The head balancing device is used to monitor the user's head movement state.

[0033] In this embodiment, the head balancing device can use an angular velocity sensor, a gyroscope, or other inertial measurement elements, which can be integrated into the corresponding position of the mouth and nose mask. When the sensor detects involuntary head movements that exceed the preset range, the system will trigger the corresponding prompt mechanism to correct the training posture in time.

[0034] In addition, the system also has data interaction and auxiliary training functions: All monitoring data (including respiratory parameters and head movement states) can be synchronized to the matching mobile application or WeChat mini program, allowing users and medical personnel to view historical records and trend changes; Baseline data collection was completed under the guidance of professionals, and this baseline data will serve as an important reference standard for subsequent training effect evaluation. Once the inspiratory volume is detected to have reached the preset standard, the system will automatically start the timing function and enhance the patient's training confidence with a few seconds of prompts (such as voice broadcast); If an incorrect breathing pattern is detected (such as disordered breathing rhythm or deviation in breathing position), the system will provide real-time voice prompts indicating the location of the error and offering corrective suggestions to ensure the standardization and effectiveness of the training.

[0035] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0036] The following are method embodiments of the present invention. For details not described in detail, please refer to the corresponding device embodiments described above.

[0037] See Figure 2 The flowchart illustrating the implementation of the breathing training method provided in this embodiment of the invention is described in detail below: Step 201: Based on a wearable breathing training tool provided in any of the above embodiments, obtain one or more of the user's back elevation state, shoulder elevation state, and head movement state.

[0038] In this embodiment, based on a wearable breathing training tool provided in any of the above embodiments, the pressure value of the back pressure sensor, the degree of stretching of the flexible strain material in the shoulders, and the state data of the head balance device can be obtained during the user's breathing training process. These data respectively reflect the user's back elevation state, shoulder elevation state, and head movement state. One or more of these data can be selected to analyze whether there is motion compensation, that is, the breathing movement is not up to standard but the breathing training tool misjudges that it is up to standard through the movement of parts other than the chest and abdomen.

[0039] Step 202: Based on one or more of the user's back elevation state, shoulder elevation state, and head movement state, determine whether the user's breathing movements are compensated.

[0040] In this embodiment, all flexible materials and pressure-sensitive elements on the back can be initialized to understand the baseline data of the flexible material length, and a threshold can be used to determine whether the user's breathing movements are compensating. Since different users have different body parameters, different thresholds can be set for different users, for example, based on the pressure values ​​of the back pressure sensor, the degree of stretching of the shoulder flexible strain material, and the status data of the head balance device in different breathing modes.

[0041] In one possible implementation, step 202 includes: If the flexible strain material of the user's shoulder status monitoring part is stretched beyond the preset shoulder elevation threshold, it is determined that the user is shrugging. If the user's back pressure exceeds the preset pressure threshold, it is determined that the user is raising their back. If the user's head movement exceeds the preset head-shaking threshold, the user is determined to be engaging in head-shaking behavior.

[0042] In this embodiment, the sensor used to monitor the user's shoulder elevation state can also be a pressure-sensitive element, which is placed above the shoulder area. When the user's shoulders are raised, the pressure-sensitive element senses an increase in pressure value. When the pressure value increases to a threshold, the shoulder shrugging behavior can be identified.

[0043] Pressure-sensitive elements used to monitor a user's back elevation can be placed on the upper or lower back. For pressure-sensitive elements placed on the upper back, the detected pressure increases when the user raises their back; when the pressure increases to a corresponding threshold, the raised back behavior can be identified. For pressure-sensitive elements placed on the lower back, when the user raises their back to cover chest wall movement, the lower back will move away from the pressure-sensitive element, and the detected pressure decreases. A corresponding threshold can be set to decrease the pressure to identify the raised back behavior.

[0044] For users' head-shaking behavior, the tilt angle or swaying frequency of the head can be set as recognition conditions.

[0045] When users exhibit behaviors such as shrugging their shoulders, raising their backs, or shaking their heads, they need to be reminded and corrected to avoid situations where the user's chest and abdominal movements meet the monitoring conditions for breathing training, but their actual breathing pattern does not meet the standards, thereby ensuring the training effect.

[0046] Step 203: If not, identify the user's breathing pattern based on the user's chest respiratory movement and abdominal respiratory movement.

[0047] In this embodiment, if the user does not have motion compensation, the chest respiratory movement and abdominal respiratory movement at this time can reflect the user's true breathing pattern.

[0048] In one possible implementation, step 203 includes: If the flexible strain material of the chest contour is stretched beyond the first threshold and the abdominal flexible material contracts, the user's breathing pattern is identified as chest breathing. If the flexible strain material of the chest contour portion is stretched beyond the first threshold and the flexible strain material of the abdominal contour portion is stretched beyond the second threshold, then the user's breathing pattern is identified as thoracoabdominal breathing. If the flexible strain material of the chest contour portion is stretched less than the first threshold, and the flexible strain material of the abdominal contour portion is stretched more than the second threshold, then the user's breathing pattern is identified as abdominal breathing.

[0049] In one possible implementation, prior to step 203, the following is also included: The experiment obtained the average value of the stretching of the flexible strain material in the chest contour area when the user's breathing mode is chest breathing, and the average value of the stretching of the flexible strain material in the abdominal contour area, which was taken as the first chest stretching value. The experiment obtained the average value of the stretching of the flexible strain material in the chest contour area when the user's breathing mode is abdominal breathing, and the average value of the stretching of the flexible strain material in the abdominal contour area, as the second chest stretching value. The experiment obtained the average value of the stretching of the flexible strain material in the chest contour area as the third chest stretching value and the average value of the stretching of the flexible strain material in the abdominal contour area as the third abdominal stretching value when the user's breathing mode is thoracoabdominal breathing. The first threshold is determined based on the first chest traction value, the second chest traction value, and the third chest traction value; The second threshold is determined based on the first abdominal traction value, the second abdominal traction value, and the third abdominal traction value.

[0050] In this embodiment, during the experiment, the user is first guided to breathe using three typical breathing modes: thoracic breathing, abdominal breathing, and thoracic-abdominal breathing.

[0051] When a user adopts chest breathing, breathing is primarily accomplished through the rise and fall of the chest. During this process, the flexible strain material in the chest contour is stretched as the chest expands and contracts. The stretching value of the flexible strain material during this process is recorded, and its average value is calculated. This average value is defined as the first chest stretching value. Simultaneously, the flexible strain material in the abdominal contour also experiences a certain degree of stretching. This average value is recorded and calculated, and defined as the first abdominal stretching value.

[0052] When a user adopts diaphragmatic breathing, breathing is primarily accomplished through the rise and fall of the abdomen. In this state, the flexible strain material in the chest contour area experiences relatively less stretching; the average value is recorded and calculated as the second chest stretch value. Conversely, the flexible strain material in the abdominal contour area experiences greater stretching; the average value is recorded and calculated as the second abdominal stretch value.

[0053] When a user adopts a thoracoabdominal breathing pattern, both the chest and abdomen participate in the breathing action simultaneously, exhibiting significant rise and fall. At this time, the stretching values ​​of the flexible strain material in the chest contour and abdominal contour are recorded separately, and their average values ​​are calculated as the third chest stretching value and the third abdominal stretching value, respectively.

[0054] After obtaining the above six traction values, a first threshold is determined based on the first chest traction value, the second chest traction value, and the third chest traction value. The first threshold can be determined in various ways, such as the arithmetic mean or weighted average of the three chest traction values, or the median value of two values ​​selected according to the actual application scenario requirements. The specific setting can be based on the accuracy requirements of the breathing pattern judgment and the actual application environment.

[0055] Similarly, a second threshold is determined based on the first, second, and third abdominal traction values. The determination of the second threshold is similar to that of the first threshold; an appropriate calculation method can be selected based on actual needs to meet the requirements for judging the amplitude of abdominal movement under different breathing patterns.

[0056] Step 204: Perform breathing training on the user based on changes in the user's breathing pattern.

[0057] In this embodiment, the breathing training tool and method can be applied to training for deep breathing and breath-holding therapy in lung and breast cancer, training for stable breathing during CyberKnife treatment of lung cancer, training for deep breathing and breath-holding therapy in liver cancer and lower esophageal cancer, and training for postoperative lung function recovery. Different training scenarios have different training requirements.

[0058] In one possible implementation, step 204 includes: If the user's breathing training mode is deep inhalation and breath-holding training, the user's breathing mode and inspiratory flow rate will be monitored, and a prompt will be issued when the breathing mode changes and / or the change in inhaled gas flow rate exceeds the change threshold. If the user's breathing training mode is CyberKnife treatment training, the user's breathing mode and inspiratory flow rate will be monitored, and a prompt will be issued when the breathing mode changes and / or the inspiratory gas flow rate exceeds the inspiratory threshold. If the user's breathing training mode is post-lung surgery functional training, then the user's breathing mode will be monitored, and a prompt will be issued when the user's breathing mode is not chest breathing.

[0059] In this embodiment, for deep inhalation and breath-holding training for diseases such as lung cancer, breast cancer, liver cancer, and lower esophageal cancer, attention needs to be paid to the stability and repeatability of breath-holding. In this training mode, the volume of air inhaled and exhaled during each breath is recorded, ensuring that the exhalation volume is greater than or equal to the inhalation volume; otherwise, insufficient air will be inhaled during the next training session, affecting the patient's breath-holding time. The patient performs three self-training breath-holding sessions, and the average change in the flexible material of the chest and abdomen during the three sessions is taken as the reference value for the patient's breath-holding training. When the actual breath-holding amplitude exceeds the reference value, a timer is triggered to start counting down and recording the breath-holding time. Information such as breathing pattern, breath-holding duration, respiratory waveform curve, and error alerts during training can be transmitted to a mobile app or mini-program for archiving and as a reference for subsequent training.

[0060] For lung tumors treated with CyberKnife, patients need to maintain a stable breathing state during treatment. Before training, patients undergo three free breathing exercises. The average change in the flexible material of the chest and abdomen during the three exercises is taken as the reference value for free breathing. Reference values ​​for inspiratory and expiratory volumes are also collected. During actual training, the expiratory volume is kept approximately equal to the inspiratory volume, and the stability of the breathing pattern is monitored. If a sudden change in the breathing pattern occurs during multiple inhalations and exhalations, a warning is issued: "Breathing pattern change, please correct." During calm breathing, if the pressure-sensitive elements in the lower back sense pressure below or above the threshold, it indicates that the patient is moving their lower back. This triggers a warning: "Do not move your back." If the flexible material in the shoulder is stretched beyond the threshold during calm breathing, it indicates that the patient is shrugging their shoulders. This triggers an alarm: "Do not shrug your shoulders." If the mouth and nose mask swings, it indicates involuntary head movement—a warning is issued: "Do not shake your head." After one cycle of chest and abdominal flexible material stretching changes (breathing training) is completed, a counter is triggered to record the number of breaths.

[0061] For postoperative functional training of the lungs, this mode should focus on improving thoracic breathing. The average change in the flexible material during three thoracic training sessions is taken as the reference value for free breathing. Simultaneously, inspiratory and expiratory volumes measured through a face mask are also collected as reference values. During inhalation, the volume of air inhaled is recorded at the mask inlet, and during exhalation, the volume of air inhaled is recorded at the mask outlet (expiratory volume ≈ inhalation), to avoid hyperventilation leading to respiratory alkalosis. After one cycle of thoracic and abdominal flexible material stretching changes (breathing training), a counter is triggered to count.

[0062] Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. For example... Figure 3As shown, the electronic device 3 of this embodiment includes a processor 30 and a memory 31. The memory 31 stores a computer program 32. When the processor 30 executes the computer program 32, it implements the steps in the various method embodiments described above. Alternatively, when the processor 30 executes the computer program 32, it implements the functions of each module / unit in the various device embodiments described above.

[0063] For example, computer program 32 may be divided into one or more modules / units, which are stored in memory 31 and executed by processor 30 to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of computer program 32 in electronic device 3.

[0064] Electronic device 3 may include, but is not limited to, processor 30 and memory 31. Those skilled in the art will understand that... Figure 3 This is merely an example of electronic device 3 and does not constitute a limitation on electronic device 3. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device 3 may also include input / output devices, network access devices, buses, etc.

[0065] The processor 30 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0066] The memory 31 can be an internal storage unit of the electronic device 3, such as a hard disk or memory of the electronic device 3. The memory 31 can also be an external storage device of the electronic device 3, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 3. Furthermore, the memory 31 can include both internal and external storage units of the electronic device 3. The memory 31 is used to store the computer program 32 and other programs and data required by the electronic device 3. The memory 31 can also be used to temporarily store data that has been output or will be output.

[0067] For the sake of simplicity and clarity, only the above-described functional modules / units are used as examples. In practical applications, the functions described above can be assigned to different functional modules / units as needed. These modules / units can be implemented in hardware, software, or a combination of both.

[0068] This invention also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the methods described in the above-described method embodiments.

[0069] This invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the methods described in the above-described method embodiments.

[0070] Computer programs include computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. Computer-readable media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0071] In the above embodiments, the descriptions of each embodiment have their own emphasis. Parts not detailed or described in a particular embodiment can be referred to in the relevant descriptions of other embodiments. Unless otherwise specified or in conflict with logic, the terminology and / or descriptions between different embodiments are consistent and can be referenced interchangeably. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0072] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A wearable breathing training tool, characterized in that, The tight-fitting clothes, the chest contour monitoring part, the abdomen contour monitoring part and the shoulder and back state monitoring part are included: The chest contour monitoring part is a flexible strain material, which is arranged around the chest area of the tight-fitting clothes, and is used for monitoring the chest breathing movement of the user; The abdomen contour monitoring part is a flexible strain material, which is arranged around the abdomen area of the tight-fitting clothes, and is used for monitoring the abdomen breathing movement of the user; The shoulder and back state monitoring part includes a back pressure monitoring part and / or a shoulder state monitoring part; The back pressure monitoring part includes a pressure sensor, which is arranged on the back of the tight-fitting clothes, and is used for monitoring the back lifting state of the user; The shoulder state monitoring part is a flexible strain material, which is arranged around the shoulder area of the tight-fitting clothes, and is used for monitoring the shoulder lifting state of the user.

2. The wearable breathing training tool of claim 1, wherein, The respiratory mask is also included; The respiratory mask has a gas flow meter, which is used for monitoring the inhalation gas flow and / or the exhalation gas flow of the user.

3. The wearable breathing training tool of claim 2, wherein, The head balance device is also included; The head balance device is used for monitoring the head movement state of the user.

4. A method of respiratory training, characterized by, The wearable respiratory training tool based on any one of claims 1 to 3 is included, and one or more of the back lifting state, the shoulder lifting state and the head movement state of the user is obtained; Based on one or more of the back lifting state, the shoulder lifting state and the head movement state of the user, it is determined whether the respiratory movement of the user exists compensation; If not, the respiratory pattern of the user is identified based on the chest breathing movement and the abdomen breathing movement of the user; The respiratory training of the user is carried out based on the change of the respiratory pattern of the user. The determination of whether the respiratory movement of the user exists compensation based on one or more of the back lifting state, the shoulder lifting state and the head movement state of the user includes:

5. A breathing training method according to claim 4, characterized in that, If the flexible strain material of the shoulder state monitoring part of the user is pulled beyond a preset shoulder lifting threshold, it is determined that the user has a shoulder raising behavior; If the back pressure of the user exceeds a preset pressure threshold, it is determined that the user has a back lifting behavior; If the head swing amplitude of the user exceeds a preset head swing threshold, it is determined that the user has a head swing behavior. The identification of the respiratory pattern of the user based on the chest breathing movement and the abdomen breathing movement of the user includes:

6. The respiratory training method of claim 4, wherein, If the flexible strain material of the chest contour part is pulled beyond a first threshold, and the abdomen flexible material is contracted, the respiratory pattern of the user is identified as chest breathing; If the flexible strain material of the chest contour part is pulled beyond the first threshold, and the flexible strain material of the abdomen contour part is pulled beyond a second threshold, the respiratory pattern of the user is identified as chest and abdomen breathing; If the flexible strain material of the chest contour part is pulled less than the first threshold, and the flexible strain material of the abdomen contour part is pulled beyond the second threshold, the respiratory pattern of the user is identified as abdomen breathing. Before the identification of the respiratory pattern of the user based on the chest breathing movement and the abdomen breathing movement of the user, the following steps are further included:

7. A breathing training method according to claim 6, characterized in that, ​ obtaining, through experiments, an average value of the flexible strain material of the chest contour portion being pulled as a first chest pulling value and an average value of the flexible strain material of the abdomen contour portion being pulled as a first abdomen pulling value when the user's breathing mode is chest breathing; obtaining, through experiments, an average value of the flexible strain material of the chest contour portion being pulled as a second chest pulling value and an average value of the flexible strain material of the abdomen contour portion being pulled as a second abdomen pulling value when the user's breathing mode is abdomen breathing; obtaining, through experiments, an average value of the flexible strain material of the chest contour portion being pulled as a third chest pulling value and an average value of the flexible strain material of the abdomen contour portion being pulled as a third abdomen pulling value when the user's breathing mode is chest-abdomen breathing; determining the first threshold value based on the first chest pulling value, the second chest pulling value and the third chest pulling value; determining the second threshold value based on the first abdomen pulling value, the second abdomen pulling value and the third abdomen pulling value.

8. The respiratory training method of claim 4, wherein, the breathing training of the user based on the change of the breathing mode of the user comprises: if the breathing training mode of the user is deep inhalation and breath-holding training, monitoring the breathing mode and inhalation flow of the user and issuing a prompt when the breathing mode changes and / or the change amount of the inhalation gas flow is greater than a change threshold value; if the breathing training mode of the user is CyberKnife treatment training, monitoring the breathing mode and inhalation flow of the user and issuing a prompt when the breathing mode changes and / or the inhalation gas flow is greater than an inhalation threshold value; if the breathing training mode of the user is postoperative lung function training, monitoring the breathing mode of the user and issuing a prompt when the breathing mode of the user is not chest breathing.

9. An electronic device, comprising: a memory and a processor, the memory stores a computer program, and the processor implements the method of any one of claims 4 to 8 when executing the computer program.

10. A computer-readable storage medium, characterized in that, the computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the method of any one of claims 4 to 8.

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