Abdominal breathing training belt and wearable therapeutic device
By designing a length adjustable band and sensor system, the problem of poor consistency in breath depth detection in the prior art is solved, efficient and accurate collection of breathing parameters is achieved, suitable for individuals and groups, and equipment costs are reduced.
Patent Information
- Application Number
- CN202111044129.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-09-07
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2041-09-07
AI Technical Summary
The existing abdominal breathing training equipment has poor data consistency when detecting breathing depth and is costly, making it difficult to meet the needs of the group.
A length-adjustable belt is designed, combining inelastic and elastic materials, a sensor and acquisition control module are set up to adapt to different waist sizes through scale markings, ensuring that the belt collects breathing parameters under appropriate pressure.
It improves the accuracy of deep breath detection and consistency of data acquisition, reduces equipment costs, is suitable for population use, and can be combined with a variety of biological parameter acquisition equipment to treat a variety of psychological and physiological diseases.
Smart Images

Figure CN113769342B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of biofeedback therapy, and in particular to an abdominal breathing training belt and a wearable therapeutic device. Background Art
[0002] With the accelerated pace of life, increased competitive pressure, changes in living habits, and other reasons, more and more people are under excessive mental stress, experiencing psychological sub-health problems, and gradually developing anxiety disorders. Currently, the main treatments for anxiety disorders include drug therapy, psychotherapy, and physical therapy. Among them, physical therapy includes biofeedback and physical stimulation.
[0003] Biofeedback therapy is a new treatment method that uses modern physiological scientific instruments to provide self-feedback of physiological or pathological information in the human body, so that patients can eliminate pathological processes and restore physical and mental health after special training. Among them, deep abdominal breathing is gaining more and more attention as a method that has a wide audience and can be trained anytime and anywhere.
[0004] Deep abdominal breathing can treat anxiety. Its physiological principle lies in the regulation of the autonomic nervous system. The autonomic nervous system is composed of sympathetic and parasympathetic nerves, which are distributed throughout the body. The two keep a balance with each other to maintain the internal balance of the human body. When the emotions are tense and anxious, the sympathetic nerves will be overexcited, and the sympathetic nerves are closely related to breathing. Because when you inhale, the sympathetic nerves are active; when you exhale, the parasympathetic nerves are active. Therefore, when you are anxious, your breathing is always fast and shallow. Therefore, by adjusting abdominal breathing deeply and slowly, you can balance the sympathetic and parasympathetic nerves, thereby alleviating anxiety symptoms.
[0005] At present, the common auxiliary equipment for monitoring slow breathing training is the breathing belt. It is tied to the abdomen, collects the abdominal breathing movement waveform to calculate the number of breaths, and feeds back to the user through sound, light, image, etc. according to the set algorithm to affect the training process. The sensors used by the breathing belt to collect breathing signals include resistive, inductive, capacitive and photoelectric sensors. In addition, there are impedance sensors and acceleration sensors to measure breathing waves.
[0006] The existing technical solutions are divided into two types: single parameter and multi-parameter. The single parameter is to collect the respiratory signal for specific calculation to obtain the respiratory parameters, such as the number of breaths or respiratory frequency, and output it to the user to implement the feedback mechanism of the intervention training process. Such as patents CN111053557A, CN1803121A, etc. The multi-parameter solution is to add physiological parameters such as ECG, blood pressure, blood oxygen, etc. on the basis of respiratory parameters for biofeedback intervention. For example, CN1559342A, CN104665799A, etc.
[0007] The basis of the above technical scheme is the collection and processing of respiratory signals. The existing technology can realize the collection, processing and feedback intervention of physiological parameters of abdominal slow breathing training, but there are some shortcomings. Abdominal slow breathing training is divided into three steps: inhalation, breath holding and exhalation. To achieve a good training effect, it is necessary to take a deep breath, hold the breath moderately and exhale slowly. To monitor this, it is necessary to accurately detect the depth of breathing. The existing technology mainly detects the number of breaths or respiratory frequency, and generally does not detect the depth of breathing. When detecting the depth of breathing, because the tightness of the band will affect the collection accuracy of the respiratory signal, and if the tightness is inconsistent during multiple trainings, the consistency of the collected data is not good, the above factors will affect the accuracy of the detection of the depth of breathing. In addition, the waist and abdominal circumference of the human body varies greatly. The existing technology is difficult to meet the requirements with a single length of band, especially when used in groups, it is difficult to quickly adjust the bands of all users to a suitable and consistent tightness, which is not only inconvenient for group use, but also leads to poor consistency of the data collected when used in groups, which is not conducive to comparative analysis of group data.
[0008] In addition to collecting respiratory signals, the multi-parameter acquisition solution also collects ECG, blood oxygen, blood pressure, electromyography and other signals, which can more accurately evaluate the breathing pattern and effect of respiratory training. CN1559342A and CN 104665799 A both mention collecting the blood oxygen and blood pressure data of users during training to evaluate the training effect. Among them, the inflatable cuff solution is used for blood pressure detection, which is not only costly, but the sound of inflation and the tightening of the cuff during training will also affect the state of the trainee.
[0009] In addition, the existing technical solutions do not calibrate the breathing depth. Even if two people have the same waist and abdomen circumference, if their vital capacity is different, the data generated by deep breathing will be different. In addition, after a period of breathing training, the vital capacity of the same person will increase, and the breathing data (mainly the change in the cross-sectional area of the abdominal circumference) will be different from before. Therefore, in order to collect breathing training data more accurately, it is necessary to calibrate the basic breathing data (the change in the cross-sectional area of the abdomen during breathing) during each training. Summary of the invention
[0010] In order to solve the problems of poor data collection consistency, inconvenience in processing and analyzing multiple training data, and high equipment cost in existing abdominal breathing training equipment, the present application provides an abdominal breathing training belt, including:
[0011] A length-adjustable strap, comprising a non-elastic strap and an elastic length-adjustable strap connected thereto;
[0012] a set of sensors disposed on the non-elastic strap, including a breathing sensor;
[0013] A collection control module, arranged on the non-elastic band, electrically connected to the group of sensors, and used to control the group of sensors to collect the breathing parameters of the user during abdominal breathing;
[0014] A set of scales is provided on the length-adjustable strap for indicating the wearing size suitable for the training object so as to convert the pressure state between the strap and the fixed part into the length of the strap.
[0015] According to some embodiments of the present application, the set of scales is provided on the elastic band.
[0016] According to some embodiments of the present application, when in use, the length of the adjustable length strap in a natural state is adjusted to 78%-88% of the circumference of the fixed part.
[0017] According to some embodiments of the present application, when in use, the length of the adjustable length strap in a natural state is adjusted to 82.5% of the circumference of the fixed part.
[0018] According to some embodiments of the present application, the adjustable length range of the length of the adjustable strap in a natural state is 49.5-66 cm, and the value range of the set of scales is 60-80 cm; or
[0019] The adjustable length range of the length of the adjustable strap in a natural state is 66-99 cm, and the value range of the set of scales is 80-120 cm.
[0020] According to some embodiments of the present application, the breathing parameters include: breathing frequency and breathing depth.
[0021] According to some embodiments of the present application, the breathing depth includes: the change in abdominal cross-sectional area during breathing.
[0022] According to some embodiments of the present application, the breathing sensor includes:
[0023] Resistive film pressure sensor;
[0024] A flexible backing spacer is arranged on a side of the resistive film pressure sensor away from the human body;
[0025] The silicone rod or rubber rod is arranged on a side of the resistive film pressure sensor close to the human body.
[0026] According to some embodiments of the present application, the diameter of the silicone rod or rubber rod is in the range of 3 mm to 5 mm.
[0027] According to some embodiments of the present application, the hardness of the silicone rod or rubber rod is in the range of 55 to 65 degrees.
[0028] According to another aspect of the present application, a wearable therapeutic device is also provided for abdominal breathing training, comprising the above-mentioned abdominal breathing training belt.
[0029] The application provides an abdominal breathing training belt, which can adjust the length so that the belt and the human body maintain appropriate pressure, and on this basis collect breathing parameters to ensure the validity of the collected data. A scale is further set on the belt, and the belt pressure state suitable for the training object is converted into the waist size of the training object and displayed through the scale, so that the belt length can be quickly adjusted to the appropriate position for data collection during use; for multiple collections, it helps to maintain the consistency of data collection. In addition, the baseline parameters of the training object can be calibrated before training; during training, the actual collected parameters are compared with the baseline parameters and feedback is given, which serves as a timely reminder to the training object to ensure the realization of the training effect. There are no requirements for the occasion of use, and it is low-cost and easy to carry. The wearable therapeutic device of the application can be combined with different parameter collection devices to treat psychological or physiological diseases such as mental tension, depression, and hypertension, and can also be used to treat diseases such as children's inattention.
[0030] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without exceeding the scope of protection required by the present application.
[0032] Figure 1 A schematic diagram of an abdominal breathing training belt according to an exemplary embodiment of the present application is shown;
[0033] Figure 2A A top view of a breathing sensor arrangement according to an exemplary embodiment of the present application is shown;
[0034] Figure 2B A front view of a breathing sensor arrangement according to an exemplary embodiment of the present application is shown;
[0035] Figure 2C A side view of a breathing sensor arrangement according to an exemplary embodiment of the present application is shown;
[0036] Figure 2D shows a waveform diagram of data collected by a breathing sensor according to an exemplary embodiment of the present application;
[0037] Figure 3A schematic diagram showing the minimum length of a strap according to a first exemplary embodiment of the present application is shown;
[0038] Figure 4 A schematic diagram showing the maximum length of a strap according to a first exemplary embodiment of the present application is shown;
[0039] Figure 5 A schematic diagram showing the minimum length of a strap according to a second exemplary embodiment of the present application is shown;
[0040] Figure 6 A schematic diagram showing the maximum length of a strap according to a second exemplary embodiment of the present application is shown;
[0041] Figure 7 A schematic diagram of a multi-parameter biofeedback therapy system using an abdominal breathing training belt according to an exemplary embodiment of the present application is shown;
[0042] Figure 8 A flowchart of the working process of the multi-parameter biofeedback therapy system according to an exemplary embodiment of the present application is shown. DETAILED DESCRIPTION
[0043] Example embodiments will be described more fully below with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as being limited to the embodiments set forth herein. These embodiments are provided to make this application more comprehensive and complete and to fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted.
[0044] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.
[0045] It should be understood that although the terms first, second, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one component from another component. Therefore, the first component discussed below can be referred to as the second component without departing from the teachings of the concepts of the present application. As used herein, the term "and / or" includes any one of the associated listed items and all combinations of one or more.
[0046] Those skilled in the art will appreciate that the drawings are only schematic diagrams of example embodiments and may not be to scale. The modules or processes in the drawings are not necessarily required to implement the present application and therefore cannot be used to limit the scope of protection of the present application.
[0047] The inventors have found that training equipment for abdominal breathing is mainly aimed at hospitals, is expensive, complicated to operate, has a narrow audience range, and is difficult to promote; there is no quantitative collection of breathing depth data, which affects the evaluation of breathing training effects; in addition, there is no method to quickly adjust the tightness of the strap to a suitable position during training.
[0048] In order to solve the above problems, the present application provides an abdominal breathing training belt 1000. Figure 1 As shown, the abdominal breathing training belt 1000 provided by the present application includes: a length-adjustable strap 100, an acquisition control module 300, a group of sensors and a fixing buckle 500. Among them, the length-adjustable strap 100 includes a non-elastic strap 110 and an elastic strap 120 connected thereto. In order to ensure the stability of data acquisition, a group of sensors and an acquisition control module 300 are arranged on the non-elastic strap 110. A group of sensors is electrically connected to the acquisition control module 300, and the acquisition control module 300 is configured to control the group of sensors to collect the breathing parameters of the training object during abdominal breathing. According to some embodiments of the present application, a group of sensors may include a breathing sensor 410. The breathing sensor 410 is used to monitor the breathing parameters such as the breathing frequency and breathing depth of the training object during the training process. The breathing depth is the amplitude of the abdominal expansion during the abdominal breathing process. The completion of the abdominal breathing of the training object can be judged by the breathing depth. The breathing depth can be expressed by the change in the cross-sectional area of the abdomen during breathing. The fixing buckle 500 is disposed at the end of the strap 100 and is used to fix the strap to the body of the training subject during use.
[0049] According to some embodiments of the present application, the change in the cross-sectional area of the abdomen during breathing can be represented by a pressure change value. Therefore, the breathing sensor 410 can adopt a resistive thin film pressure sensor. The changing pressure value acts on the thin film pressure sensor to produce a correspondingly changing resistance value. The acquisition control module 300 finally converts it into a correspondingly changing voltage value through AD sampling, and after processing, it can be drawn into a voltage value curve. Since the thin film pressure sensor is linear in converting the changing resistance value when subjected to pressure, the pressure curve finally drawn can reflect the breathing state curve at that time, thereby realizing the detection of the breathing waveform.
[0050] Figure 2A A top view of a breathing sensor arrangement according to an exemplary embodiment of the present application is shown;
[0051] Figure 2BA front view of a breathing sensor arrangement according to an exemplary embodiment of the present application is shown; Figure 2C A side view of a breathing sensor arrangement according to an exemplary embodiment of the present application is shown.
[0052] Since the fat tissue at the position where the respiratory sensor contacts the user's abdomen is soft and has a large area, it may completely cover the respiratory sensor, making the pressure change in this area unstable and the generated signal very weak. Figures 2A-2C As shown, the respiratory sensor 410 provided in the present application adopts a three-layer composite structure including a flexible backing spacer 413, a resistive film pressure sensor 412 and a silicone rod 411. During use, the silicone rod 411 is arranged on the side close to the human body, the flexible backing spacer 413 is arranged on the side away from the human body, and the resistive film pressure sensor 412 is arranged between the flexible backing spacer 413 and the silicone rod 411.
[0053] The flexible bottom spacer 413 can protect the sensor when it is bent at a large angle, and can make the back of the sensor flatter. It can also play a supporting role when in use, thereby increasing the stability of the sensor to pressure changes.
[0054] By providing the silicone rod 411, the force-bearing area of the resistive film pressure sensor 412 is reduced during the breathing process. Due to its small force-bearing area, the deformation of the sensor increases under the same pressure value, the amplitude of the generated signal increases, and the sensitivity of the breathing signal detection is improved. According to some embodiments of the present application, the silicone rod can also be a rubber rod.
[0055] According to the width of the resistive piezoelectric film sensor 412 and the comfort of wearing by the human body, the diameter of the silicone rod 411 can be 3mm to 5mm, and the hardness value can be 55 degrees to 65 degrees. According to the preferred embodiment of the present application, a silicone rod 411 with a hardness of 60 and a diameter of 3mm can be used, and its length is consistent with the length of the film pressure sensor 412.
[0056] Figure 2D FIG. 2 shows a waveform diagram of data collected by a breathing sensor according to an exemplary embodiment of the present application. Figure 2D As shown, use Figures 2A-2C The respiratory signal collected by the respiratory sensor 410 is clear and stable with little interference. The three actions of abdominal breathing training, inhalation, breath holding, and exhalation, are clearly demarcated in the figure; the collected signal is conducive to the extraction and analysis of respiratory parameters in the later stage.
[0057] Abdominal breathing training requires that the breathing parameters of the training object reach certain values in order to achieve the expected effect. Therefore, the effectiveness of the collected parameters is of great significance for the evaluation of the training effect. During the use of the abdominal breathing training belt 1000, the tightness of the belt tied around the abdomen of the training object directly affects the effectiveness of data collection. The adjustable length of the belt makes it easy for the belt to maintain appropriate pressure on the human body, on which basis the breathing parameters are collected to ensure the validity of the data.
[0058] like Figure 1 As shown, according to some embodiments of the present application, the elastic band 120 may be an elastic band. A Japanese buckle 122 is provided on the elastic band for adjusting the length. According to some embodiments of the present application, a set of scales 121 is provided on the elastic band 120 for indicating the wearing size suitable for the training object so as to convert the pressure state of the band and the fixed part into the length of the band.
[0059] Since the tightness of the strap around the subject's abdomen (i.e., the contact pressure between the strap and the subject's abdomen) will affect the detection accuracy of the respiratory sensor, and the contact between the strap and the body will also affect the acquisition stability of other sensors (such as ECG and pressure), the appropriate tightness of the strap is a key factor affecting data collection and training results.
[0060] During the use of existing band-type biofeedback therapeutic devices, the training subjects are often required to judge the tightness by themselves, and there is no unified quantitative standard. Moreover, for the same subject, the tightness is inconsistent each time it is used, which leads to the problem of poor data consistency. For different subjects, there is no unified tightness standard, and it is impossible to perform horizontal comparison and analysis of data.
[0061] In order to solve the above problems, the present application intuitively displays the appropriate pressure state of the elastic band in contact with the human body in the form of a set of scales 121 according to the tensile properties of the elastic band, and corresponds the scale value to the waist size of the training subject, so that the training subject can quickly adjust the length of the band according to his or her waist size through the scale 121 and the Japanese buckle 122 to the appropriate pressure state. For a single training subject, it is helpful to ensure the consistency of multiple collected data, and on this basis, process and analyze to evaluate the training effect and provide improvement plans. For multiple training subjects, the data collected under the same benchmark can be compared horizontally to evaluate the training effects of multiple people at the same time.
[0062] After testing and experience in the clothing industry, when the stretch ratio of the elastic band is about 1:2 and the stretch resilience is ≥95%, the length of the band in its natural state is 78%-88% of the circumference of the fixed part (e.g., the net waist circumference of the human body), preferably 80%-85%, and more preferably 82%-83%, the pressure contact state between the band and the fixed part can make the human body feel more comfortable and ensure that various sensors can work normally. Based on this, the pressure state between the band and the fixed part can be converted into the length of the band.
[0063] Figure 3-Figure 6 The diagram of adjusting the length of the strap according to the exemplary embodiment of the present application is shown. According to the general waist size range of the training object, the length of the strap in the natural state is 82.5% of the circumference of the fixed part (such as the net waist circumference of the human body), and the present application provides two different specifications of strap lengths, but the present application is not limited thereto.
[0064] in, Figure 3 , Figure 4 The adjustable length range of the strap 100 in the natural state is 49.5-66cm, and the value range of a set of scales is 60-80cm. The strap 100 is suitable for training subjects with a waist size of 60-80cm. The waist size conversion and scale conversion process are: take 82.5% of the human waist size as the strap length. That is, the minimum length of the strap corresponding to the minimum waist circumference of 60cm is 60×0.825=49.5cm. The length of the non-elastic strap with a sensor is set to 33cm. The length of the adjustable elastic strap part is 49.5-33=16.5cm. The double size adjustment of the elastic strap can be achieved through the Japanese buckle, so the longest adjustable length of the strap is 16.5*2+33=66cm, and the corresponding maximum waist circumference is 66 / 0.825=80cm.
[0065] Figure 5 , Figure 6 The adjustable length range of the strap 100 in the natural state is 66-99cm, and the value range of a set of scales is 80-120cm. The strap 100 is suitable for training subjects with a waist size of 80-120cm. The waist size conversion and scale conversion process are as follows: 82.5% of the human waist size is taken as the strap length. That is, the minimum length of the strap corresponding to the minimum waist circumference of 80cm is 80×0.825=66cm. The length of the non-elastic strap with the sensor is set to 33cm. The length of the adjustable elastic strap part is 66-33=33cm. The double size adjustment of the elastic strap can be achieved through the Japanese buckle, so the longest adjustable length of the strap is 33*2+33=99cm, and the corresponding maximum waist circumference is 99 / 0.825=120cm. Two types of straps are suitable for most people. Similarly, people with special body shapes can customize straps according to this principle.
[0066] According to the body parameters of most training subjects, corresponding strap lengths and scale ranges are set respectively, and the strap length is converted into a scale corresponding to the waist size of the training subjects, thereby improving the applicability and convenience of the therapeutic device.
[0067] According to some embodiments, a group of sensors may further include a pressure sensor 430. The pressure sensor 430 is used to collect the pressure value of the band 100 on the training object. Since the band parameter collection needs to be performed under a certain pressure, the contact pressure between the band 100 and the training object's body during the training process is collected, and the training object is prompted and fed back. When the contact pressure value is less than the set minimum value, the training object is fed back so that the band can be adjusted, thereby further ensuring the effectiveness of data collection.
[0068] According to some embodiments, the abdominal breathing training belt 1000 provided in the present application can also transmit the collected breathing parameters to an external control device for benchmark parameter calibration and training parameter feedback. The external control device can analyze and feedback the acquired data, and can also upload it to a health data cloud platform for health big data accumulation and analysis.
[0069] The abdominal breathing training belt provided by the present application can be combined with other biological parameters to form a wearable therapeutic device to treat different psychological and physiological diseases (such as anxiety and hypertension) or perform special training (such as attention training), etc. According to some embodiments of the present application, a set of sensors can also include a set of ECG electrodes 420, which combine breathing parameters with ECG parameters to achieve the treatment of psychological diseases such as anxiety.
[0070] A set of ECG electrodes 420 is used to collect single-lead ECG of the training subject, with a sampling rate of 200 Hz and a sampling accuracy of 12 bits or 24 bits. By collecting parameters such as heart rate during breathing training, heart rate variability analysis and analysis of the impact of breathing on heart rate and QRS waves can be achieved, thereby providing data support for the treatment effect. According to an example embodiment of the present application, a set of ECG electrodes 420 can be flexible electrodes, such as fabric electrodes or other flexible electrodes, which are suitable for long-term human contact to avoid allergic reactions.
[0071] Figure 7 A schematic diagram of a multi-parameter biofeedback therapy system using an abdominal breathing training belt according to an exemplary embodiment of the present application is shown.
[0072] The multi-parameter biofeedback treatment system 3000 of the present application is a wearable therapeutic device, comprising the above-mentioned abdominal breathing training belt 1000 and an external control device 2000. The external control device 2000 is configured to receive the biological parameters transmitted by the acquisition control module 300 of the abdominal breathing training belt 1000 for benchmark parameter calibration and training parameter feedback. By calibrating the benchmark parameters of each training object before training, the actual collected parameters are compared with the benchmark parameters during training and feedback is given, which can provide timely reminders to the training object and ensure the realization of the training effect.
[0073] The key point of abdominal breathing training is to try to reach the "limit" amount whether inhaling or exhaling, that is, to inhale until you can't inhale anymore and exhale until you can't exhale anymore. In other words, the abdomen should also contract and expand to the limit, and the breathing should be deep, long and slow. It is generally difficult for beginners to meet this requirement every time, so it is necessary to monitor and give feedback in real time through quantitative indicators to ensure the training effect. The breathing limit value varies from person to person, so it is necessary to calibrate the breathing baseline value that meets the requirements for each training subject for monitoring and comparative feedback during the training process.
[0074] According to some embodiments of the present application, the calibration process can be: the training object is guided by voice to breathe calmly 3 times and breathe vigorously 3 times respectively, and the respiratory parameters of each breath (for example, the change in the cross-sectional area of the abdomen during breathing) are collected by the respiratory sensor in this process. In order to eliminate the influence of random errors and improve the accuracy and reliability of the calibration method, the least square calibration method can be adopted. According to the collected respiratory parameters, the least squares fitting method is adopted to obtain a best straight line, that is, the proportional coefficient is obtained by the least squares principle, and the least squares fitting value is obtained as the respiratory reference parameter for calibration. The least squares method obtains the reference respiratory parameters through the data under two groups of respiratory states, thereby reducing the numerical calculation error. On this basis, the respiratory induction volume tracing method is adopted in the present application for respiratory calibration. After calibration, the respiratory induction volume tracing system can quantify the respiratory capacity, and can obtain the reference respiratory parameters characterizing the respiratory pattern such as respiratory frequency, inhalation / exhalation ratio and abdominal movement components in combination with the software algorithm.
[0075] According to some embodiments of the present application, the external control device 2000 includes a data processing module and a voice playback module. The data processing module is configured to calibrate the baseline parameters suitable for the training object according to the biological parameters collected before training. The voice playback module is connected to the data processing module and is configured to receive the training instructions of the data processing module and perform voice playback. The data processing module is also configured to compare the biological parameters collected during the training process with the baseline parameters, and feed back the comparison results to the training object through the voice playback module.
[0076] According to some embodiments of the present application, the external control device 2000 may be an independently operated controller, and the data processing module and the voice playback module may be functional modules built into the controller. Figure 7 In the example embodiment, the external control device 2000 may be a smart terminal, and the data processing module may be an application program installed on the smart terminal 2000, such as an APP. The voice playback module may be an earphone 2100 connected to the smart terminal 2000, and the earphone may communicate with the smart terminal 2000 via a wired manner or via a wireless communication method such as Bluetooth.
[0077] The implementation process of the benchmark parameter calibration and training parameter feedback of the external control device 2000 is: before training, the calibration instructions and the breathing guidance during the calibration process are played; the voice playback module can also play the breathing training guidance during the training process and play the voice reminder when the breathing parameters are abnormal. The feedback module is connected to the voice playback module and is configured to compare each collected parameter with the benchmark parameter during training, and feedback the comparison result to the training object through the voice playback module.
[0078] According to some embodiments of the present application, the voice playback module can be built into the external control device 2000, or it can be an external device independent of the external control device 2000, such as a headset 2100. The headset can be connected to the external control device 2000 for communication via wireless communication or wired communication. The wireless communication method may include Bluetooth, but the present application is not limited thereto.
[0079] Figure 8 A flowchart of the working process of the multi-parameter biofeedback therapy system according to an exemplary embodiment of the present application is shown.
[0080] by Figure 7 Taking the multi-parameter biofeedback therapy system 3000 shown in as an example, the external control device 2000 is a smart terminal, the data processing module is an APP installed on the smart terminal 2000; the voice playback module is an external earphone 2100, which is worn on the ear of the training object. When in use, the abdominal breathing training belt 1000 is fixed to the waist of the training object to collect the breathing parameters of the training object during abdominal breathing. The working process of the multi-parameter biofeedback therapy system 3000 is as follows.
[0081] In step S110 , after the abdominal breathing training belt 1000 is fixed to the abdomen of the training subject, the acquisition control module 300 is started to initialize the group of sensors and transmit the acquired biological parameters to the APP on the smart terminal 2000 .
[0082] During use, tie the strap to the horizontal line of the navel and try to keep the acquisition control module 300 just above the navel. After adjusting the length of the strap according to the waist size, hook it with the fixing buckle to complete the fixation. After pressing the power button of the acquisition control module 300, the power indicator light of the acquisition control module 300 turns green and the device starts. According to some embodiments of the present application, the acquisition control module 300 synchronously collects biological parameters such as breathing and pressure and pre-processes the collected data through a filter.
[0083] In step S120, the APP on the smart terminal 2000 receives the biological parameters transmitted by the acquisition control module 300 to perform baseline parameter calibration and training parameter feedback. For example, after the APP of the smart terminal is started, the biological parameters transmitted by the acquisition control module 300 are received via Bluetooth. According to some embodiments of the present application, before training, a "training calibration" instruction is sent to the training subject through headphones. The "training calibration" instruction may include abdominal breathing action requirements, for example: put your right hand in front of your chest, take a deep breath, try to keep your chest still, and then exhale until you have exhaled all the air, repeat 3 times; maintain steady normal breathing, repeat 3 times, etc. The breathing parameters collected during the calibration process for 3 steady breaths and 3 abdominal breaths are fitted using least squares to determine the calibration value of this training, that is, the baseline parameter.
[0084] During the training process, "training" instructions can be sent to the training subject through the headset. "Training" instructions can include standard practice requirements for abdominal breathing training, such as: place the tip of the tongue behind the teeth; inhale through the nose for 4 seconds; hold your breath for 7 seconds; exhale through pursed lips for 8 seconds; repeat the above breathing process. The biological parameters collected during this process are processed and compared with the baseline parameters, and the comparison results are fed back to the training subject through the voice playback function of the headset, so that the training subject can be reminded in time to ensure the realization of the training effect.
[0085] According to some embodiments of the present application, the data processing process includes recording the waveform data of biological parameters, calculating parameters such as heart rate, respiratory cycle, respiratory depth, and heart rate variability in combination with a specific algorithm, and finally displaying the data on the display screen of the smart terminal. The APP on the smart terminal 2000 can also upload the processed data to the health data cloud platform for big data analysis.
[0086] According to some embodiments of the present application, after the APP on the smart terminal 2000 analyzes the data, it outputs corresponding voice prompts to the headset 2100 according to different analysis results; the headset 2100 broadcasts to the training object according to the voice prompts. The training object can adjust the breathing rhythm and breathing depth according to the voice broadcast. For example, after receiving the real-time breathing data, the APP calculates the real-time breathing amplitude and breathing frequency. The breathing amplitude is compared with the calibrated reference amplitude, and the breathing frequency is compared with the predetermined threshold. When the real-time collected data is less than the reference value or the set threshold, the first voice induced feedback is played to remind the customer to deepen the breathing amplitude or speed up the frequency; when the real-time collected data is close to the reference value or the set threshold, the second voice induced feedback is played to remind the customer to maintain the current breathing state; when the real-time collected data is greater than the reference value or the set threshold, the third voice induced feedback is played to remind the customer to reduce the breathing amplitude or reduce the breathing frequency. Through feedback and timely reminders, the training effect is guaranteed.
[0087] The present application provides a low-cost, easy-to-carry abdominal breathing training belt and wearable therapeutic device. By setting a belt with adjustable length, the belt is kept in an appropriate pressure state to collect breathing parameters, thereby ensuring the validity of the collected data. The pressure state of the belt adapted to the training object is further converted into the waist size of the training object and displayed through a scale, which not only facilitates the rapid adjustment of the belt length to the appropriate position for data collection during use, but also helps to maintain the consistency of data collection. In addition, the abdominal breathing training belt provided by the present application can be combined with a variety of biological parameter collection devices to form a wearable therapeutic device for the treatment of psychological diseases (such as anxiety, depression, etc.), physiological diseases (such as hypertension, etc.) and special training such as attention.
[0088] The embodiments of the present application are described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application. At the same time, changes or deformations made by those skilled in the art based on the ideas of the present application, the specific implementation methods and the scope of application of the present application, all belong to the scope of protection of the present application. In summary, the content of this specification should not be construed as a limitation on the present application.
Claims
1. An abdominal breathing training belt, characterized in that: include: A length-adjustable strap, comprising a non-elastic strap and an elastic length-adjustable strap connected thereto; a set of sensors disposed on the non-elastic strap, including a breathing sensor; A collection control module, arranged on the non-elastic band, electrically connected to the group of sensors, and used to control the group of sensors to collect the breathing parameters of the user during abdominal breathing; A set of scales is provided on the length-adjustable strap to indicate the wearing size suitable for the training subject; The breathing sensor comprises: Resistive film pressure sensor; A flexible backing spacer is arranged on a side of the resistive film pressure sensor away from the human body; A silicone rod or a rubber rod, arranged on a side of the resistive film pressure sensor close to the human body; The length of the adjustable length strap is obtained by converting the pressure state of the fixed part, and the length and the range of the scale correspond to the physical parameters of the trained object.
2. The abdominal breathing training belt according to claim 1, characterized in that: The set of scales is arranged on the elastic band.
3. The abdominal breathing training belt according to claim 1, characterized in that: When in use, the length of the adjustable length strap in a natural state is adjusted to 78%-88% of the circumference of the fixed part.
4. The abdominal breathing training belt according to claim 3, characterized in that: When in use, the length of the adjustable length strap in a natural state is adjusted to 82.5% of the circumference of the fixed part.
5. The abdominal breathing training belt according to claim 4, characterized in that: The adjustable length of the length-adjustable strap in a natural state has an adjustable length range of 49.5-66 cm, and the value range of the set of scales is 60-80 cm; or The adjustable length range of the length of the adjustable strap in a natural state is 66-99 cm, and the value range of the set of scales is 80-120 cm.
6. The abdominal breathing training belt according to claim 1, characterized in that: The breathing parameters include: breathing frequency and breathing depth.
7. The abdominal breathing training belt according to claim 6, characterized in that: The breathing depth includes: the change in the abdominal cross-sectional area during breathing.
8. The abdominal breathing training belt according to claim 1, characterized in that: The diameter of the silicone rod or rubber rod is in the range of 3 mm to 5 mm.
9. The abdominal breathing training belt according to claim 1, characterized in that: The hardness of the silicone rod or rubber rod is in the range of 55 to 65 degrees.
10. The abdominal breathing training belt according to claim 1, characterized in that: The set of sensors also includes: The pressure sensor is configured to collect the contact pressure between the adjustable length strap and the user's body during treatment.
11. A wearable therapeutic device for abdominal breathing training, characterized in that: The invention comprises the abdominal breathing training belt according to any one of claims 1 to 10.
Citation Information
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