Respiratory exercise feedback system
By designing a respiratory exercise feedback system containing deep learning models and feedback processing units, the existing equipment cannot meet the needs and lack of feedback for patients with ostomy surgery, effective monitoring and intuitive feedback for respiratory exercises are achieved, and rehabilitation efficiency is improved.
Patent Information
- Application Number
- CN202410498456.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-24
- Publication Date
- 2025-06-20
AI Technical Summary
The existing respiratory exercise equipment cannot meet the respiratory training needs of patients with oral surgery, and the lack of effective feedback mechanisms, resulting in poor exercise results.
A respiratory exercise feedback system is designed, including a host computer, a microcontroller, a SEMG sensor, a cloud server and a feedback processing unit, to monitor and analyze breathing data through deep learning models, and provide intuitive feedback through feedback limiters and lighting signals.
Effective monitoring and feedback on respiratory exercises is achieved, helping patients to understand the exercise effects more intuitively, avoid overexercising, and improve rehabilitation efficiency.
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Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of medical devices, and particularly to a respiratory exercise feedback system. Background Art
[0002] In modern respiratory diseases, patients need to perform respiratory exercises during the rehabilitation process. At present, the respiratory exercises are mainly carried out under the guidance of doctors. On the one hand, this increases the workload of doctors and delays their other work. On the other hand, doctors cannot monitor the patients' respiratory exercises throughout the process, and patients cannot know the effects of their own respiratory exercises, which easily leads to poor respiratory exercise effects between doctors and patients and then slower recovery.
[0003] Regarding the above technical problems, there are some medical device respiratory trainers at present. These respiratory trainers often work based on the principle of resistance respiratory training. However, breathing is an action that involves most of the upper body muscle groups, and the existing resistance respiratory exercise devices usually can only target pursed-lip breathing rehabilitation exercises and cannot take into account the respiratory training of stoma surgery patients.
[0004] For the above reasons, during the respiratory exercise process of stoma surgery patients, it is necessary to control the upper body, especially the chest, to make respiratory exercise movements. For example, the human respiratory state monitoring system and method based on flexible sensing and deep learning disclosed in the publication number CN111671426A measures electrical signals through flexible sensors and improves the monitoring accuracy through deep learning and self-training methods. It only focuses on the monitoring process of respiratory exercises but does not pay attention to the feedback during the exercise process, and cannot more intuitively and effectively guide patients to perform respiratory exercises. Furthermore, there is no device that can meet the requirement of performing respiratory feedback exercises based on deep learning. In view of this, in-depth research on the above problems has led to the generation of this case. Summary of the Invention
[0005] Aiming at the deficiencies of the prior art, the present invention provides a respiratory exercise feedback system, which solves the problems in the existing background art.
[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A respiratory exercise feedback system includes a host computer, a microcontroller, no less than 4 groups of independent SEMG sensors, a cloud server, and further includes a feedback processing unit, and the feedback processing unit is installed based on the host computer.
[0007] SEMG sensors, which are attached to the upper body respiratory muscle groups of the human body and are used to convert human respiratory data into analog signals for output.
[0008] A microcontroller, which is connected to the SEMG sensor through analog-to-digital conversion, converts the analog signal of the human body respiration data into a digital signal, and transmits it to the host computer;
[0009] A host computer, which receives the digital signal from the microcontroller and sends it to the cloud server;
[0010] A cloud server, which receives and processes the digital signal sent by the host computer, monitors, analyzes and feeds back the processing of the human body respiration data by using a deep learning network model, and then transmits the processed data result to the host computer;
[0011] The feedback processing unit consists of a secondary processor, a feedback regulator and a feedback limiter;
[0012] The secondary processor is assembled on the host computer. The processed data of the cloud server is sent to the host computer, and the host computer transmits it to the secondary processor. The secondary processor converts the digital signal into an analog signal through digital-to-analog conversion and transmits it to the feedback regulator;
[0013] A feedback regulator, which receives the analog signal from the secondary processor, amplifies it and transmits it to the feedback limiter;
[0014] A feedback limiter, which makes corresponding actions according to the analog signal of the feedback processor, and indicates the opening position and opening frequency of the patient's breathing chest cavity.
[0015] The feedback limiter includes: an independent frame, which is a rectangular frame, at least a pair of support plates are arranged on the independent frame, a pair of execution sleeves are arranged on a pair of the support plates, and an execution component is assembled in a pair of the execution sleeves, and the end of the execution component is connected with a follower contact plate to contact the human chest.
[0016] A pair of height regulators are arranged on both sides of the independent frame, and the height regulator consists of a slideway opened on one side of the independent frame, a sliding block assembled on the slideway, and an adjusting rod movably installed on the slideway and threadedly engaged with the sliding block.
[0017] The execution component includes a closed sliding sleeve, which is coaxially assembled on the execution sleeve, an indicating rod is arranged through one end of the closed sliding sleeve, a control air pump is arranged at the other end of the closed sliding sleeve, the control air pump is communicated with the inner cavity of the closed sliding sleeve, a sliding piston is fixedly connected to the end of the indicating rod, a return spring is also arranged between the sliding piston and one side of the control air pump, the sliding piston matches the radial cross-sectional shape of the inner cavity of the closed sliding sleeve, and the head end of the indicating rod is connected with the follower contact plate.
[0018] The execution component further includes an arc - missing power - connection groove. One side of the closed sliding sleeve is provided with an arc - missing power - connection groove. A power - connection sliding plate is connected to the arc - missing power - connection groove. One side of the sliding piston is provided with a power - connection block which contacts the power - connection sliding plate. An indicator light board is arranged on the execution sleeve. A rhythm light strip is arranged on the indicator light board. The power - connection sliding plate and the power - connection block form a position indicator. The light of the rhythm light strip transitions from cold light to hot light. An indicator light strip is arranged on one side corresponding to the rhythm light strip.
[0019] The indicator light board is connected to the power - connection sliding plate and is provided with a micro - controller connected to the rhythm light strip.
[0020] The indicator light strip is arranged in parallel with the rhythm light strip. The lighting length and flashing frequency of the indicator light strip are controlled by a feedback regulator.
[0021] The follower contact plate is a plate with a rectangular - like structure. One side of the follower contact plate is provided with a thin cotton layer. The other side of the follower contact plate is provided with a threaded adjustment sleeve movably connected to the end of the indicating rod.
[0022] A heart - rate measurement electrode is also arranged on the SEMG sensor. A liquid - crystal display is arranged on the indicator light board corresponding to the heart - rate measurement electrode.
[0023] A stoma tube connecting the communication flow - detection component and the patient is arranged on the feedback limiter. The communication flow - detection component includes an air inlet pipe. One end of the air inlet pipe is fixed on an independent frame through a bracket. One end of the air inlet pipe is provided with a socket. The socket is a cavity shell with a truncated - cone structure. The other end of the air inlet pipe is provided with a detection through - pipe. The detection through - pipe is communicated with the air inlet pipe. A rotating fan blade is assembled in the detection through - pipe. The number of the rotating fan blades is at least three and they are arranged staggeredly. The central axis of the rotating fan blade is connected with a micro - encoder.
[0024] Beneficial effects
[0025] The present invention provides a respiratory exercise feedback system, which has the following beneficial effects: This respiratory exercise feedback system monitors and performs feedback calculations on its own respiratory data through a deep - learning network model based on a cloud server. Through a configured feedback processing unit, the feedback data is more intuitively indicated to the user in a way of force and vision, avoiding the problem that there is only monitoring without feedback and patients cannot know the exercise effect without professional guidance, and effectively assisting patients in respiratory exercise. It has the following specific advantages:
[0026] 1. The deep - network learning model can effectively monitor the respiratory data of patients, and formulate the respiratory exercise plan for patients and give feedback data on the respiratory exercise of patients according to the plan and monitoring data;
[0027] 2. The feedback processing unit can materialize the feedback data into the reaction force of the feedback limiter and the lighting effect. According to the magnitude and change frequency of the reaction force and the flashing length and frequency of the light, it can more intuitively indicate the exercise process of the exerciser.
[0028] 3. The feedback processing unit synchronously detects the heart rate and exhalation and inhalation volume of the patient during the exercise process, avoids the problem of over-exercise of the patient, and is safer and more reliable to use. Description of the Drawings
[0029] Figure 1 It is a schematic flow diagram of a breathing exercise feedback system according to the present invention.
[0030] Figure 2 It is a first three-dimensional structure schematic diagram of the feedback limiter of a breathing exercise feedback system according to the present invention.
[0031] Figure 3 It is a top view structure schematic diagram of the feedback limiter of a breathing exercise feedback system according to the present invention.
[0032] Figure 4 It is a second three-dimensional structure schematic diagram of the feedback limiter of a breathing exercise feedback system according to the present invention.
[0033] Figure 5 It is a three-dimensional structure schematic diagram of the execution component of a breathing exercise feedback system according to the present invention.
[0034] Figure 6 It is a sectional view structure schematic diagram of the execution component of a breathing exercise feedback system according to the present invention.
[0035] Figure 7 It is a partial structure schematic diagram of the execution component of a breathing exercise feedback system according to the present invention.
[0036] Figure 8 It is a sectional view structure schematic diagram of the connected flow detection component of a breathing exercise feedback system according to the present invention.
[0037] Figure 9 It is a partial enlarged structure schematic diagram of the connected flow detection component of a breathing exercise feedback system according to the present invention.
[0038] In the figure: 1. Independent frame; 2. Support plate; 3. Execution sleeve; 4. Execution component; 5. Follow-up contact plate; 6. Height regulator; 7. Connected flow detection component; 8. Indicator light board; 41. Closed sliding sleeve; 42. Indicator rod; 43. Control air pump; 44. Sliding piston; 45. Return spring; 46. Power connection sliding plate; 47. Power connection block; 51. Thin cotton layer; 52. Thread adjustment sleeve; 61. Slideway; 62. Sliding block; 63. Adjustment support rod; 71. Intake pipe; 72. Plug connector; 73. Detection through pipe; 74. Rotating fan blade; 75. Micro encoder; 81. Rhythm light bar; 82. Indicator light bar; 83. Liquid crystal display. Detailed implementation manner
[0039] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0040] Please refer to Figures 1-9 , the present invention provides an implementation solution: Resistance exercise equipment is common in modern breathing exercise equipment. Such equipment is often suitable for constricted orifice training. For patients who have undergone laryngeal stoma surgery, this exercise equipment cannot meet the usage requirements. Moreover, further, current breathing exercise equipment often only has a monitoring function, and patients cannot obtain effective feedback during the exercise process.
[0041] In view of the above technical problems, the present application discloses a breathing exercise feedback system, which is divided into a monitoring unit, a cloud platform, and a feedback processing unit. The monitoring unit is attached to the patient's respiratory muscle group through induction electrodes, senses the patient's muscle group movements and converts them into electrical signals, transmits them to the cloud platform for processing, and sends the processing results to the feedback processing unit. The feedback processing unit makes feedback adjustments to the patient's breathing training, constituting a complete training system.
[0042] Among them, the monitoring unit includes a host computer, a microcontroller, and no less than 4 groups of independent SEMG sensors; the SEMG sensors are attached to the upper body respiratory muscle group of the human body and are used to convert human breathing data into analog signals for output; the microcontroller is connected to the SEMG sensors through analog-to-digital conversion, converts the analog signals of human breathing data into digital signals, and transmits them to the host computer; the host computer receives the digital signals from the microcontroller and sends them to the cloud server;
[0043] Specifically, the SEMG sensor detects the movements of the human respiratory muscle groups and converts them into analog signals. The analog signals are converted into electrical signals through analog-to-digital conversion and transmitted to the microcontroller. The microcontroller transmits data to the host computer, which is specifically an electronic integration terminal. The host computer packs and sends the digital signal data of the microcontroller to the cloud server. At the same time, the host computer also has a display panel, which on the one hand displays the data of respiratory training, and on the other hand provides a touch screen operation panel. The training plan of the patient and some data of the patient (basic information such as height, weight, gender, age, etc. and the patient's condition data) are input from the host computer, and the host computer transmits these data to the cloud server;
[0044] The cloud server receives and processes the digital signals sent by the host computer, monitors, analyzes, and feedback-processes the human respiratory data using a deep learning network model, and then transmits the processed data results to the host computer;
[0045] Specifically, the cloud server receives the digital signals from the host computer and processes the data using a deep learning network model. The specific deep learning network model unit consists of an embedding layer network unit, a bidirectional GRU layer network unit, an attention layer network unit, a fully connected layer unit, a Softmax unit, etc. After using multiple learning units for monitoring and analysis, while strengthening the accuracy of monitoring data in a deep learning manner, taking advantage of the data of the cloud server, targeted training measures are analyzed based on the monitoring data (such as analyzing that the breathing force and frequency do not reach the breathing force and frequency, and then feedbacking a greater breathing force and a faster breathing frequency to the patient);
[0046] According to the attached instructions Figure 1 It can be seen that in order to visually feedback the exercise measures to the user, a feedback processing unit is also set up, which consists of a secondary processor, a feedback regulator, and a feedback limiter. Among them, the secondary processor and the feedback regulator are both installed based on the host computer, while the feedback limiter is installed independently, and the feedback limiter is connected to the feedback regulator through a data cable;
[0047] Specifically, the processed data of the cloud server is sent to the host computer, and the host computer transmits it to the secondary processor. The secondary processor converts the digital signal into an analog signal through digital-to-analog conversion and sends it to the feedback regulator. The feedback regulator receives the analog signal of the secondary processor, amplifies it, and transmits it to the feedback limiter;
[0048] The device that visually provides feedback to the patient is the feedback limiter, which makes corresponding actions according to the analog signal of the feedback processor, indicating the opening position and opening frequency of the patient's breathing chest cavity.
[0049] Furthermore, according to the attached instructions Figures 2-9It can be seen that the feedback limiter is composed of an independent frame 1, an actuator 4, a follower contact plate 5, a feedback display component and a connected flow detection component 7; wherein the independent frame 1 is an external structure with a supporting function, the actuator 4 is used to execute the feedback result of the feedback analog signal, the follower contact plate 5 contacts the human body and moves according to the chest movement of the human body, and is linked with the actuator 4, and the exercise effect is fed back to the patient through the comparison of the actuator 4, and the connected flow detection component 7 is used as a second independent detection means to assist in detecting the gas flow during the breathing exercise;
[0050] According to the instruction manual Figures 2-4 It can be seen that the above-mentioned independent frame 1 is a rectangular structure frame, and at least one pair of support plates 2 are arranged on the independent frame 1. The support plates 2 and the independent frame 1 are connected in a split manner. The execution sleeve 3 and the support plate 2, including the execution assembly 4 in the execution sleeve 3, can be replaced through the threaded structure, thereby improving the flexibility of application and the replaceability of accessories.
[0051] Furthermore, a pair of height adjusters 6 are provided on both sides of the independent frame 1, and the height of the actuator 4 can be adjusted by the height adjusters 6 to match the use of people of different heights. The height adjuster 6 consists of a slide 61 opened on one side of the independent frame 1, a sliding block 62 assembled on the slide 61, and an adjustment support rod 63 movably installed with the slide 61 and threadedly engaged with the sliding block 62. The adjustment support rod 63 can be threadedly engaged with the sliding block 62 by rotating the adjustment support rod 63, and then the sliding block 62 can be slid in the slide 61, so that the sliding block 62 extends from the independent frame 1, and the sliding block 62 is used to contact the bed surface or the seat armrest to lift the height of the independent frame 1 to a height suitable for the user.
[0052] According to the instruction manual Figures 2-6 It can be seen that the end of the actuator 4 is connected to a follower contact plate 5 that contacts the human chest. The follower contact plate 5 is a plate with a rectangular structure. A thin cotton layer 51 is provided on one side of the follower contact plate 5 to improve comfort and minimize sedimentation and other problems caused by the thick cotton layer. Specifically, the thin cotton layer 51 can be replaced with a more suitable material such as a polyurethane layer. A threaded adjustment sleeve 52 is provided on the other side of the follower contact plate 5 and is movably connected to the end of the indicator rod 42 for adjusting the initial position of the follower contact plate 5 so that it can fully contact the human chest.
[0053] According to the instruction manual Figures 5-7It can be seen that the above-mentioned execution component 4 includes a closed sliding sleeve 41, which is coaxially assembled on the execution sleeve 3. One end of the closed sliding sleeve 41 is provided with an indicating rod 42 penetrating through it, and the other end of the closed sliding sleeve 41 is provided with a control air pump 43. The control air pump 43 is communicated with the inner cavity of the closed sliding sleeve 41. The end of the indicating rod 42 is fixedly connected with a sliding piston 44. A return spring 45 is also arranged between the sliding piston 44 and one side of the control air pump 43. The sliding piston 44 matches the shape of the radial cross-section of the inner cavity of the closed sliding sleeve 41, and the head end of the indicating rod 42 is connected with the follower contact plate 5.
[0054] In the specific implementation process, the closed sliding sleeve 41 is fixedly installed by being assembled in the execution sleeve 3. The closed sliding sleeve 41, the sliding piston 44 and the control air pump 43 together constitute a pneumatic control system. According to the expansion and contraction of the human chest cavity, the indicating rod 42 is pushed to drive the sliding piston 44 to move. The control air pump 43 is connected to the feedback regulator. The control air pump 43 inflates and exhausts air into the closed sliding sleeve 41, which can cause a change in the air pressure on one side of the sliding piston 44. During the process of the patient pushing the follower contact plate 5 to move with the indicating rod 42, the change in air pressure changes the reaction force between the follower contact plate 5 and the human body, enabling the patient to intuitively feel the movement change of the chest during breathing.
[0055] Furthermore, the above-mentioned execution component 4 further includes an arc-shaped power connection groove. An arc-shaped power connection groove is opened on one side of the closed sliding sleeve 41, and a power connection sliding plate 46 is connected to the arc-shaped power connection groove. A power connection block 47 is arranged on one side of the sliding piston 44 and contacts the power connection sliding plate 46;
[0056] In the specific implementation process, in order to more intuitively reflect the expansion and contraction process of the patient's chest cavity, in addition to displaying the breathing data on the upper computer, by directly converting the breathing action of the chest cavity into a control signal and displaying it. Specifically, during the movement process of the chest cavity, on the one hand, the power connection sliding plate 46 is installed on the arc-shaped power connection groove to ensure the sealing performance of the closed sliding sleeve 41. On the other hand, the power connection sliding plate 46 uses contact resistance. When the sliding piston 44 moves with the chest cavity, it drives the power connection block 47 to move, so that the power connection block 47 contacts any position of the power connection sliding plate 46, changing the resistance value of the circuit composed of the power connection sliding plate 46, the power connection block 47 and the power supply, and further changing the magnitude of the current, realizing the function of digitalizing the expansion and contraction movement of the chest cavity;
[0057] Furthermore, an indicator board 8 is provided on the above-mentioned actuating sleeve 3. A rhythm light bar 81 is provided on the indicator board 8. The light of the rhythm light bar 81 transitions from cold light to warm light. Through the fixed installation of the indicator board 8 and the actuating sleeve 3, the indicator board 8 is fixed. The power connection slide plate 46 and the power connection block 47 form a position indicator. As can be seen from the above, when the power connection block 47 is in different positions on the power connection slide plate 46, the current of this circuit is different. The microcontroller converts the strength of this current signal into the lighting length of the rhythm light bar 81, and the light of the rhythm light bar 81 transitions from cold light to warm light. Thus, the degree of chest cavity expansion and contraction can be represented more vividly. Naturally, the change frequency of the magnitude of the control current serves as a symbol of the chest cavity expansion and contraction frequency. Furthermore, according to the interval of the change in the magnitude of the current, a minimum turn-on current is set for the rhythm light bar 81, and the expansion and contraction frequency of the chest cavity can be intuitively displayed.
[0058] Furthermore, an indicator light bar 82 is provided on one side corresponding to the rhythm light bar 81. The indicator light bar 82 is arranged in parallel with the rhythm light bar 81. The lighting length and flashing frequency of the indicator light bar 82 are controlled by a feedback regulator. In this way, according to the result of the feedback data, the lighting length and flashing frequency of the indicator light bar 82 are controlled. With a distinct contrast formed between the rhythm light bar 81 and the indicator light bar 82, it can assist in guiding breathing exercises.
[0059] Furthermore, a heart rate measurement electrode is also provided on the SEMG sensor. A liquid crystal display 83 is provided on the indicator board 8 corresponding to the heart rate measurement electrode. The liquid crystal display 83 can display the heart rate, facilitating the patient to observe their own heart rate and avoid excessive heart rate and overexercising.
[0060] According to the attached instructions Figures 8-9 As can be seen, a connecting and communicating flow detection component 7 is provided on the above-mentioned feedback limiter and is connected to the stoma tube of the patient. The connecting and communicating flow detection component 7 includes an intake pipe 71. One end of the intake pipe 71 is fixed to the independent frame 1 through a bracket. A connector 72 is provided at one end of the intake pipe 71. The connector 72 is a cavity shell with a truncated conical structure. A detection through pipe 73 is provided at the other end of the intake pipe 71. The detection through pipe 73 is communicated with the intake pipe 71. A rotating fan blade 74 is assembled in the detection through pipe 73. The number of the rotating fan blades 74 is at least three groups and is arranged staggeredly. A micro encoder 75 is connected to the central axis of the rotating fan blade 74;
[0061] In the specific implementation process, the connected flow detection component 7 is connected to the stoma tube of the patient, providing a detection device for the auxiliary breathing volume without resistance for stoma patients. Specifically, the plug connector 72 at the end of the intake pipe 71 is inserted into the orifice of the stoma tube. When the patient breathes, the stoma tube, the intake pipe 71, and the detection through-tube 73 form a two-way detection path. When the inhaled or exhaled air flows through the above detection path, it generates a force on the rotating vane in the detection through-tube 73, causing the rotating vane to rotate. Then, the rotating vane drives the central shaft to rotate. Through the gear set, the micro encoder 75 is linked, and the micro encoder 75 converts the rotation data into the data of the breathing air volume, so as to know whether the patient inhales enough air or the exhaust is smooth during the exercise. Compared with the resistance type structure, this training structure does not have the problem of completely blocking the patient's breathing path.
[0062] It should be noted that the connected flow detection component 7 can also be used in the way of constriction training. Just install a mouthpiece device with a conversion head shape on one side of the plug connector 72, and it can be used normally. Combined with the above feedback training, its effect is also better than that of ordinary resistance type breathing training devices.
[0063] Embodiment 1:
[0064] The working principle of the feedback unit of this application is as follows: After the SEMG sensor transmits the data to the cloud server through the host computer, the cloud server analyzes the breathing monitoring data, and the analyzed feedback training method is sent to the host computer. The host computer further sends the data to the secondary processor. The secondary processor disassembles the digital signal and converts it into an analog signal corresponding to different action mechanisms. The analog signal is amplified by the feedback regulator and distributed to each action mechanism of the feedback limiter to achieve feedback processing;
[0065] Specifically, the feedback limiter is supported by an adjustable-height independent frame 1 and integrates at least two groups of execution components 4. When the execution components 4 are used, they can correspond to the patient's chest. Through the control signal given by the feedback regulator, the air pump 43 is controlled to change the air pressure on one side of the movable piston in the closed sliding sleeve 41. According to the feedback result, the frequency and magnitude of the change are controlled, so that the sliding piston 44 gives a reaction force to the patient through the indicating rod 42. The patient adjusts his own breathing with this feedback effect, so that the force exerted by the sliding piston 44 on himself is smaller or within the imperceptible range. Then, the size and frequency of the breathing action are intuitively indicated through the circuit formed by the power-on slide plate 46 and the power-on block 47. When the patient's breathing rhythm is chaotic or for other reasons, resulting in a change in the breathing frequency, the breathing exercise can be corrected by the inconsistent flashing frequency and flashing length of the rhythm light bar 81 and the inconsistent feedback force.
[0066] Embodiment 2:
[0067] The present application also discloses an application method of the above-mentioned respiratory exercise feedback system, which specifically includes the following steps;
[0068] Step 1: The exerciser attaches the SEMG sensor patch corresponding to the muscle group for respiratory exercise to the body, and adjusts the height of the feedback limiter and the position of the follower contact plate to fit their own chest. Then, turn on the upper computer, input their own basic data and medical record data. The cloud server selects an exercise plan according to the data and sends it to the upper computer, and the user selects the exercise plan to start respiratory exercise;
[0069] Step 2: The respiratory data during the respiratory exercise is transmitted to the microcontroller through the SEMG sensor, and after analog-to-digital conversion, it is transmitted to the upper computer, and then transmitted from the upper computer to the cloud server. After parsing the data according to the deep learning network model, the cloud server formulates feedback data and sends it to the upper computer. The upper computer gives a control command to the feedback limiter through the secondary processor and the feedback regulator;
[0070] Step 3: According to the feedback data, control the air pump to adjust the pressure change on one side of the closed sliding sleeve to make it conform to the respiratory intensity and respiratory frequency in the feedback data. The user adjusts their own respiratory intensity and frequency according to the force feedback;
[0071] Step 4: According to the feedback data, the indicator light bar makes a flashing length and flashing frequency that conform to the feedback data. The patient displays their own respiratory intensity and respiratory frequency through the rhythm of the light bar by the expansion and contraction of the chest cavity. By comparing the two, the user gets visual feedback, and then adjusts their own respiratory frequency and respiratory intensity;
[0072] Step 5: Use the liquid crystal display to display the patient's heart rate, and connect the connected flow detection component to the patient's stoma tube to detect the exhaled and inhaled air flow during the patient's respiratory exercise. Connect the liquid crystal display to the micro encoder to also display the respiratory air volume data.
[0073] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A breathing exercise feedback system, comprising a host computer, a microcontroller, no less than 4 groups of independent SEMG sensors and a cloud server, characterized in that: It also includes a feedback processing unit, which is installed based on the host computer; A SEMG sensor, which is attached to the upper body respiratory muscle group of a human body and is used to convert human respiratory data into an analog signal output; A microcontroller, wherein the microcontroller is connected to the SEMG sensor through digital-to-analog conversion, converts the analog signal of human breathing data into a digital signal, and transmits the digital signal to the host computer; Host computer, which receives digital signals from the microcontroller and sends them to the cloud server; The cloud server receives and processes the digital signals sent by the host computer, and uses the deep learning network model to monitor, analyze and feedback the human respiratory data, and then transmits the processed data results to the host computer; The feedback processing unit is composed of a secondary processor, a feedback regulator and a feedback limiter; The secondary processor is installed on the host computer. The processing data of the cloud server is sent to the host computer, and the host computer transmits it to the secondary processor. The secondary processor converts the digital signal into an analog signal through digital-to-analog conversion and transmits it to the feedback regulator. Feedback regulator, the feedback regulator receives the analog signal from the secondary processor and transmits it to the feedback limiter after amplification; The feedback limiter takes corresponding actions according to the analog signal of the feedback processor, indicating the opening position and opening frequency of the patient's breathing chest cavity.
2. A breathing exercise feedback system according to claim 1, characterized in that: The feedback limiter comprises: an independent frame (1), the independent frame (1) is a frame of a rectangular structure, at least one pair of support plates (2) are arranged on the independent frame (1), a pair of actuating sleeves (3) are arranged on the pair of support plates (2), an actuating assembly (4) is assembled in the pair of actuating sleeves (3), and the end of the actuating assembly (4) is connected to a follower contact plate (5) for contacting with the human chest.
3. A breathing exercise feedback system according to claim 2, characterized in that: A pair of height adjusters (6) are arranged on both sides of the independent frame (1), and the height adjuster (6) is composed of a slideway (61) opened on one side of the independent frame (1), a sliding block (62) assembled on the slideway (61), and an adjustment support rod (63) movably mounted on the slideway (61) and threadedly engaged with the sliding block (62).
4. A breathing exercise feedback system according to claim 3, characterized in that: The actuator assembly (4) comprises a closed sliding sleeve (41), wherein the closed sliding sleeve (41) is coaxially mounted on the actuator sleeve (3), an indicator rod (42) is provided through one end of the closed sliding sleeve (41), a control air pump (43) is provided at the other end of the closed sliding sleeve (41), the control air pump (43) is communicated with the inner cavity of the closed sliding sleeve (41), a sliding piston (44) is fixedly connected to the end of the indicator rod (42), the radial cross-sectional shape of the sliding piston (44) matches that of the inner cavity of the closed sliding sleeve (41), and the head end of the indicator rod (42) is connected to the follower contact plate (5).
5. A breathing exercise feedback system according to claim 4, characterized in that: The actuator assembly (4) further comprises an arc-missing power connection slot, one side of the closed sliding sleeve (41) is provided with an arc-missing power connection slot, a power connection slide plate (46) is connected to the arc-missing power connection slot, one side of the sliding piston (44) is provided with a power connection block (47) in contact with the power connection slide plate (46), an indicator light board (8) is provided on the actuator sleeve (3), a rhythmic light bar (81) is provided on the indicator light board (8), the light of the rhythmic light bar (81) transitions from cold light to hot light, and an indicator light bar (82) is provided on one side of the corresponding rhythmic light bar (81).
6. A breathing exercise feedback system according to claim 5, characterized in that: The indicator light board (8) is connected to the power-connecting slide plate (46) and is provided with a microcontroller connected to the rhythmic light bar (81).
7. A breathing exercise feedback system according to claim 6, characterized in that: The indicator light bar (82) is arranged in parallel with the rhythmic light bar (81), and the lighting length and flashing frequency of the indicator light bar (82) are controlled by a feedback regulator.
8. A breathing exercise feedback system according to claim 7, characterized in that: The follower contact plate (5) is a plate of a rectangular structure. A thin cotton layer (51) is provided on one side of the follower contact plate (5), and a threaded adjustment sleeve (52) is provided on the other side of the follower contact plate (5) and is movably connected to the end of the indicator rod (42).
9. A breathing exercise feedback system according to claim 8, characterized in that: The feedback limiter is provided with a flow detection component (7) connected to the stoma tube of the patient.
Citation Information
Patent Citations
Human respiration state monitoring system and method based on flexible sensing and deep learning
CN111671426A