Intelligent training device for bladder function recovery after bladder cancer operation
By using an intelligent training device that simulates the bladder and incorporates biofeedback sensors, the problem of existing training methods lacking quantitative monitoring and personalized guidance has been solved. This enables precise simulation of bladder function and personalized training, improving the rehabilitation outcomes and quality of life for patients after bladder cancer surgery.
Patent Information
- Application Number
- CN202520140487.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-21
- Publication Date
- 2026-02-03
- Estimated Expiration
- 2035-01-21
AI Technical Summary
Existing bladder function recovery training methods lack quantitative monitoring and personalized guidance, resulting in non-standard and unscientific training that fails to meet the individual needs of different patients, thus affecting the effectiveness of bladder function recovery and quality of life.
An intelligent training device was designed, comprising a simulated bladder, biofeedback sensors, and a training control system. By simulating the filling and emptying process of the bladder, combined with real-time monitoring of pelvic floor muscle activity by biofeedback sensors, and intelligent regulation using the training control system, a personalized rehabilitation plan is provided. Furthermore, through voice prompts and real-time feedback on the display screen, the device enables comprehensive monitoring and analysis of the patient's bladder function status.
It achieves precise simulation and real-time monitoring of bladder function, provides personalized rehabilitation training programs, improves the pertinence and efficiency of training, reduces the incidence of bladder dysfunction, and enhances patients' quality of life and rehabilitation outcomes.
Smart Images

Figure CN223860855U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of medical device technology, specifically to an intelligent training device for bladder function recovery after bladder cancer surgery. Background Technology
[0002] Post-bladder cancer surgery patients often suffer from bladder dysfunction, such as urinary incontinence and bladder contracture, which severely reduce their quality of life. Current bladder function recovery training methods have several drawbacks: Firstly, traditional training relies heavily on patient self-training and limited, simple guidance from medical staff. The methods are neither standardized nor scientific, lacking quantitative monitoring and feedback mechanisms, making it difficult for patients to accurately grasp the correct training techniques and intensity, ultimately resulting in unsatisfactory training outcomes. Secondly, given individual differences among patients in terms of surgical procedures, remaining bladder capacity, and pelvic floor muscle condition, existing training methods cannot tailor personalized training plans to meet individual patient needs, significantly impacting the speed and extent of bladder function recovery. Therefore, there is an urgent need for an innovative, intelligent bladder function recovery training device to address these issues and improve the bladder function recovery and quality of life for post-bladder cancer patients. Utility Model Content
[0003] In view of this, the purpose of this utility model is to propose an intelligent training device for bladder function recovery after bladder cancer surgery. By setting up an intelligent training structure consisting of a simulated bladder, biofeedback sensors and a training control system, it solves the problem that existing bladder function recovery training methods lack quantitative monitoring and personalized guidance, resulting in non-standard and unscientific training, making it difficult to meet the individual differences of different patients, and affecting the bladder function recovery effect and the patient's quality of life.
[0004] To achieve the above objectives, the present invention adopts the following technical solution:
[0005] A smart training device for bladder function recovery after bladder cancer surgery includes a simulated bladder. The top of the simulated bladder is connected to an electronic infusion pump and an electronic inflation pump in a training control system via silicone tubes. A urinary catheter is connected to the bottom of the simulated bladder. A biofeedback sensor is externally connected to the training control system via wiring. A microprocessor that controls the entire device is fixedly installed inside the training control system via wiring.
[0006] Furthermore, the training control system includes a protective outer shell fixedly mounted externally. A liquid crystal display screen is fixedly mounted on the top of the outer shell, and a voice prompt module is fixedly mounted on the side of the liquid crystal display screen. A set of operation buttons are arranged from left to right below the liquid crystal display screen. The microprocessor is fixedly mounted in the center of the inner shell. A signal conditioning circuit is fixedly connected to one side of the microprocessor, and a data storage module is fixedly connected to the other side of the microprocessor. The electronic infusion pump and the electronic air pump are fixedly mounted below the outer shell.
[0007] Furthermore, the simulated bladder has an air inlet and a liquid inlet at the top. The air inlet is connected to the electronic air pump through the silicone tube, and the liquid inlet is connected to the electronic infusion pump through the silicone tube. Both the air inlet and the liquid inlet are equipped with one-way valves.
[0008] Furthermore, the biofeedback sensor consists of a sensor body and a signal transmission line. The sensor body is made of a rectangular flexible circuit board material, and four circular electrodes made of silver-silver chloride material are evenly distributed on the surface of the sensor body. The signal transmission line is a shielded twisted pair cable with an insulating rubber layer wrapped around it. One end of the signal transmission line is connected to the sensor body, and the other end of the signal transmission line is connected to the training control system.
[0009] Furthermore, the connection between the urinary catheter and the simulated bladder is achieved using a thermoforming process and is equipped with a reinforced rubber sealing ring.
[0010] Furthermore, one end of the catheter is connected to the simulated bladder, and the other end of the catheter is equipped with a standard medical interface and a disposable sterile protective sleeve.
[0011] Furthermore, the operation buttons include a power switch, a training mode selection button, a parameter adjustment button, a pause / resume button, and a reset button.
[0012] This utility model has the following beneficial effects:
[0013] This invention, through the organic combination of a simulated bladder, biofeedback sensors, and a training control system, facilitates the accurate simulation of bladder filling and emptying processes, as well as real-time monitoring of pelvic floor muscle activity. It activates relevant muscle groups, enhances their strength and coordination, rebuilds the effective functional connection between the bladder and pelvic floor muscles, and helps patients restore normal bladder function control.
[0014] By accurately collecting electrical activity signals of pelvic floor muscles through biofeedback sensors, simulating bladder pressure and volume changes, and intelligently regulating various components through the training control system, it is possible to achieve comprehensive monitoring and analysis of the patient's bladder function. The training control system compares and optimizes these data with preset personalized training programs, accurately assesses the degree of bladder dysfunction, rehabilitation progress, and training effectiveness, and then customizes and adjusts personalized rehabilitation programs in real time, significantly enhancing the pertinence and effectiveness of rehabilitation treatment.
[0015] By leveraging the intelligent control system for simulated bladder inflation and deflation parameters, training intensity, and frequency, along with the combined use of a voice prompt module and a real-time LCD display, training parameters can be dynamically optimized based on the patient's real-time condition. Voice prompts and visual information can promptly correct erroneous movements and provide proper guidance, enabling patients to efficiently master correct bladder function training techniques, accelerate the rehabilitation process, and improve the quality and efficiency of rehabilitation training.
[0016] By combining the local storage and data management functions of the data storage module of the training control system with the connection structure of external devices, medical staff can easily access and view patient training data and rehabilitation progress at any time, providing professional guidance, ensuring the continuity and comprehensiveness of rehabilitation treatment, and enabling patients to receive appropriate rehabilitation support at different stages of training. At the same time, the device can receive updated training programs and algorithm data, maintaining optimal performance and data accuracy, improving the overall level of rehabilitation services, providing strong support for the recovery of bladder function in patients after bladder cancer surgery, effectively improving patients' quality of life, and alleviating psychological problems and social barriers caused by bladder dysfunction. It has significant clinical application value and social benefits. Attached Figure Description
[0017] Figure 1 This is a structural diagram of the overall device;
[0018] Figure 2 This is a front view of the overall device;
[0019] Figure 3 This is a side view of the overall device;
[0020] Figure 4 This is a top view of the overall device;
[0021] Figure 5 This is a structural diagram of the training control system components.
[0022] Explanation of reference numerals in the attached figures:
[0023] 1. Simulated Bladder Component; 101. Simulated Bladder; 1011. Air Inlet; 1012. Fluid Inlet; 102. Urinary Catheter; 103. One-way Valve; 104. Rubber Sealing Ring; 105. Standard Medical Interface; 106. Disposable Sterile Protective Cover; 107. Silicone Tube; 2. Training Control System Component; 201. Housing; 202. LCD Display; 203. Voice Prompt Module; 204. Operation Buttons; 2041. Power On / Off Switch; 2042. Training Mode Selection Button; 2043. Parameter Adjustment Button; 2044. Pause / Continue Button; 2045. Reset Button; 205. Microprocessor; 206. Signal Conditioning Circuit; 207. Data Storage Module; 208. Electronic Infusion Pump; 209. Electronic Air Pump; 3. Biofeedback Sensor Component; 301. Sensor Body; 302. Signal Transmission Line; 3021. Electrode. Detailed Implementation
[0024] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.
[0025] In the description of this utility model, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the accompanying drawings and are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this utility model; the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. In addition, unless otherwise explicitly specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. For those skilled in the art, the specific meaning of the above terms in this utility model can be understood according to the specific circumstances.
[0026] Reference Figure 1-5 One embodiment of this utility model is an intelligent training device for bladder function recovery after bladder cancer surgery, which consists of a simulated bladder component 1, a training control system component 2, and a biofeedback sensor component 3.
[0027] The simulated bladder component 1, a key part simulating the physiological function of the human bladder, is made of medical-grade high-elasticity silicone in an approximately elliptical shape. Its major axis is 12 cm, minor axis is 8 cm, and thickness is approximately 5 cm. The volume is adjustable between 200-400 ml to simulate the filling and emptying process of the human bladder. The simulated bladder 101 has an air inlet 1011 and a liquid inlet 1012 at its top. The air inlet 1011 is tightly connected to the electronic air pump 208 in the training control system component 2 via a 1-meter-long, 3-millimeter-inner-diameter, high-temperature-resistant, corrosion-resistant, and flexible silicone tube 107. The connection is sealed with sealant to prevent gas leakage. The liquid inlet 1012 is similarly connected to the electronic infusion pump 209 via a silicone tube 107 of similar specifications, using the same connection method. One-way valves 103 are installed at both the air inlet 1011 and the liquid inlet 1012. The opening pressure of the one-way valves 103 is 0.05-0.1 MPa, ensuring stable pressure and volume within the simulated bladder 101. The bottom of the simulated bladder 101 is connected to the catheter 102 via a thermocompression connection. The width of the thermocompression connection area is 1 cm. A reinforced rubber sealing ring 104 with an inner diameter of 4 mm and a thickness of 2 mm is installed at the connection point to further enhance the sealing performance and prevent liquid leakage. The catheter 102 is made of medical-grade polyurethane, is 40 cm long, has an inner diameter of 4 mm, and its outer wall is smooth, effectively reducing frictional damage to the patient's urethra. The other end of the urinary catheter 102 is equipped with a standard medical interface 105, which facilitates a safe and tight connection with the patient's urethral catheter. The interface is equipped with a disposable sterile protective sleeve 106. The protective sleeve is made of medical polyethylene material with a thickness of 0.1 mm. When not in use, it effectively isolates external contamination and is easy to remove when in use, ensuring the sterility of the catheterization process and reducing the risk of infection for the patient.
[0028] The training control system component 2 is the core of the entire device. Its outer shell 201 is made of high-strength medical-grade plastic, measuring 25 cm long, 18 cm wide, and 12 cm high. The surface is finely frosted, providing excellent anti-slip properties for easy operation by medical staff, as well as some stain resistance for easy cleaning and disinfection, ensuring the device's hygiene and safety in a medical environment. A 6-inch color LCD screen 202 is fixedly mounted on the top of the outer shell 201, connected to the internal circuit board via a ribbon cable. It clearly and intuitively displays a wealth of training information, including pelvic floor muscle electrical activity intensity curves, bladder pressure and capacity value changes, detailed steps and requirements of the current training program, and remaining training time. This allows patients to understand their training progress in real time and accurately follow the prompts. A voice prompt module 203 is tightly fixed to the side of the LCD screen 202. The voice prompt module 203 consists of a high-quality voice chip and a 2-watt speaker. The voice chip pre-stores various training prompt voice information, such as clear prompts for the start and end of training, accurate instructions for pelvic floor muscle contraction and relaxation, and clear prompts for adjusting training intensity. The speaker efficiently converts the electrical signal output by the voice chip into a sound signal, providing patients with more personalized and comprehensive training guidance. Especially for patients with poor eyesight or unfamiliar with screen operation, the voice prompt function can greatly help them complete training smoothly. Below the LCD screen 202, a set of operation buttons 204 are arranged from left to right, including a power switch 2041, a training mode selection button 2042, parameter adjustment buttons 2043 (including increase and decrease buttons for fine-tuning training intensity, frequency, and other parameters), a pause / continue button 2044, and a reset button 2045. The buttons are made of soft and durable silicone material, with clear and wear-resistant markings printed on the surface. The bottom of the button makes precise contact with the internal high-precision micro switch. When the button is pressed, it can quickly and accurately trigger the corresponding circuit function, realizing convenient and sensitive control of the training process and meeting the various operational needs of medical staff and patients during the training process.
[0029] The core component of the training control system component 2, the microprocessor 205, is a high-performance ARM-based embedded processor, fixedly located in the center inside the housing 201. It achieves efficient data transmission and command control with other components through carefully designed copper foil wiring on the circuit board. As the core control unit of the entire device, the microprocessor 205 is responsible for receiving and rapidly processing electrical activity signals from the biofeedback sensor component 3 in real time. Based on preset complex training algorithms and program logic, it quickly generates precise control commands to accurately control the operating status of the electronic air pump 208 and the electronic infusion pump 209, as well as the information output of the voice prompt module 203 and the LCD display 202, ensuring the intelligence and personalization of the entire training process. The signal conditioning circuit 206, located on one side of the microprocessor 205, is closely connected to the signal input port of the microprocessor 205 through short-distance wiring. The signal conditioning circuit 206 mainly consists of a high-precision amplifier, low-pass and high-pass filters, and a high-speed analog-to-digital converter. It performs precise amplification, filtering, and analog-to-digital conversion preprocessing operations on the weak electrical signal transmitted from the biofeedback sensor component 3, converting it into a digital signal that the microprocessor 205 can accurately recognize and efficiently process. This effectively improves signal quality and stability, providing a reliable data foundation for the microprocessor 205's precise analysis. The data storage module 207, fixed on the other side of the microprocessor 205, is connected to the microprocessor 205 via a high-speed data bus. The data storage module 207 uses a 32GB high-speed flash memory chip to securely and stably store a large number of pre-set personalized training programs tailored to different surgical methods, bladder remaining capacity, pelvic floor muscle condition levels, and other factors. Each program details key information such as training steps, intensity settings, and frequency arrangements. It can also store patient information (such as name, age, surgery time, surgical method, initial bladder function assessment data, etc.) and detailed historical data for each training session (including training time, data records during training, and training effect evaluations). This allows medical staff to easily access, view, and analyze the patient's training progress, and to scientifically and rationally adjust and optimize the training program based on the patient's recovery process. The electronic air pump 208 and electronic infusion pump 209 are fixedly mounted below the housing 201 and connected to the microprocessor 205 via a drive circuit. Both the electronic air pump 208 and the electronic infusion pump 209 employ high-precision, high-stability miniature pump bodies. They can precisely control the inflation rate and volume of air and fluid into the simulated bladder 101 according to the precise control commands issued by the microprocessor 205. The inflation rate can be precisely adjusted within the range of 0-100 ml / min, and the fluid filling rate can be precisely controlled within the range of 0-50 ml / min, so as to highly simulate the filling and emptying process of a normal bladder. They can also automatically and quickly adjust the inflation and fluid filling parameters according to the real-time changes in bladder pressure and volume, realizing intelligent and personalized training and providing the most suitable training conditions for patients.
[0030] The biofeedback sensor assembly 3 is used to accurately monitor the electrical activity of the patient's pelvic floor muscles. Its sensor body 301 is made of a rectangular flexible circuit board material, measuring 6 cm long, 4 cm wide, and no more than 1.5 mm thick. This allows it to closely conform to the complex surface curves of the patient's pelvic floor muscles, ensuring accurate and stable detection. Four circular electrodes 302, made of high-sensitivity silver-silver chloride material, are evenly distributed on the surface of the sensor body 301 using precision printed circuit technology. Each electrode 302 has a diameter of 0.8 cm and is connected to the signal transmission line 302 via an internal microcircuit. This allows it to sensitively capture the weak electrical activity signals generated by the pelvic floor muscles during contraction and relaxation and accurately transmit them to the signal transmission line 302. The signal transmission line 302 is a shielded twisted-pair cable, 1.2 meters long, and wrapped with a 0.5 mm thick insulating rubber layer. This effectively reduces the impact of external electromagnetic interference on signal transmission, ensuring signal purity and stability. One end of the signal transmission line 302 is firmly connected to the sensor body 301 through a welding process, and the other end is tightly connected to the signal receiving interface on the housing 201 of the training control system component 2. The plug-in interface design facilitates installation and disassembly, while ensuring the reliability of the connection and the stability of the signal transmission. This ensures that the pelvic floor muscle electrical activity signals collected by the biofeedback sensor component 3 can be accurately transmitted to the training control system component 2 for in-depth analysis and processing.
[0031] In implementing this embodiment, the following steps are performed:
[0032] Equipment preparation and connection
[0033] First, in a clean, sterile environment, the air inlet 1011 and liquid inlet 1012 of the simulated bladder component 1 are connected to the electronic air pump 208 and electronic infusion pump 209 in the training control system component 2 via silicone tubing 107. Sealant is used to ensure no leakage at the connection, and the installation direction and sealing performance of the one-way valve 103 are carefully checked. Next, the catheter 102 is connected to the bottom of the simulated bladder 101 using a thermoforming process. A reinforcing rubber sealing ring 104 is installed, and a sealing test is performed at the connection to ensure no leakage. A disposable sterile protective sleeve 106 is then placed over the medical interface 105 of the catheter 102. Next, the signal transmission line 302 of the biofeedback sensor component 3 is inserted into the signal receiving interface on the housing 201 of the training control system component 2. The insertion depth is ensured to be appropriate, and the connection is tight without looseness or poor contact. A preliminary calibration test is performed on the sensor to check the stability and accuracy of the signal transmission.
[0034] Patient preparation and parameter settings
[0035] Medical staff first conduct a comprehensive physical examination on patients after bladder cancer surgery, including detailed confirmation of the surgical procedure (recording information such as surgical type, operation time, and surgical resection extent), accurate measurement of the remaining bladder capacity (using methods such as ultrasound examination or cystography), and careful assessment of the pelvic floor muscle condition (evaluating indicators such as the strength, elasticity, and coordination of the pelvic floor muscles through manual examination and pelvic floor electromyography). Based on the patient's individual examination results, medical staff select a suitable initial training program from the data storage module 207 of the training control system component 2, and turn on the power by operating the buttons of the training control system component 2. They then confirm the selection using the training mode selection key 2042 and can fine-tune some initial parameters, such as the initial inflation rate, fluid inflation rate, and reference values for pelvic floor muscle contraction strength, using the parameter adjustment key 2043. These initial settings are stored in the data storage module 207 as the starting parameters for this training, providing basic data support for the dynamic adjustment of the training program.
[0036] Training begins with simulated bladder fullness
[0037] The patient lies comfortably on a hospital bed. Medical staff tightly connect the medical interface 105 of the catheter 102 of the simulated bladder component 1 to the patient's urethral catheter, ensuring a leak-free connection and minimal patient discomfort. Simultaneously, the sensor body 301 of the biofeedback sensor component 3 is accurately attached to the surface of the patient's pelvic floor muscles, ensuring full contact between the electrode 302 and the muscles to accurately detect electrical activity signals. At this time, the microprocessor 205 of the training control system component 2 issues commands to activate the electronic air pump 208 and the electronic infusion pump 209. The electronic air pump 208 delivers an appropriate amount of gas to the air inlet 1011 of the simulated bladder 101 through the silicone tube 107, and the electronic infusion pump 209 delivers an appropriate amount of liquid to the simulated bladder 101 through the liquid inlet 1012. The simulated bladder 101 begins to simulate the filling process of a normal bladder. The patient feels the bladder pressure gradually increasing through the catheter 102, providing a physiological basis for subsequent pelvic floor muscle training.
[0038] Pelvic floor muscle training and monitoring
[0039] Following the training steps displayed on the LCD screen 202 of the training control system component 2 and the voice guidance commands issued by the voice prompt module 203, the patient begins to perform pelvic floor muscle contraction and relaxation exercises. During this process, the electrodes 302 of the biofeedback sensor component 3 detect the electrical activity signals of the pelvic floor muscles in real time. These weak electrical signals are transmitted via the signal transmission line 302 to the signal conditioning circuit 206 within the training control system component 2. The signal conditioning circuit 206 performs preprocessing operations such as amplification, filtering, and analog-to-digital conversion on the received electrical signals, converting them into digital signals that the microprocessor 205 can recognize and process. These digital signals are then transmitted to the microprocessor 205. The microprocessor 205 analyzes these signals according to a preset training algorithm and program logic to determine whether the patient's pelvic floor muscle contraction and relaxation meet the requirements of the current training program.
[0040] Training adjustments and feedback
[0041] If the microprocessor 205 determines that the patient's pelvic floor muscle contraction strength is insufficient, relaxation is incomplete, or the training rhythm is not up to standard, it will immediately issue corresponding voice prompts through the voice prompt module 203, such as "Pelvic floor muscle contraction strength is insufficient, please increase the strength" or "Relaxation time is too long, please speed up the rhythm," and simultaneously display corresponding prompts and adjustment suggestions on the LCD screen 202 to guide the patient in making adjustments. At the same time, the microprocessor 205 will also automatically adjust the working status of the electronic air pump 208 and the electronic infusion pump 209 based on changes in bladder pressure and volume (the pressure and volume sensors within the simulated bladder 101 transmit data to the microprocessor 205), thereby regulating the inflation and inflation volume of the simulated bladder 101, as well as the intensity and frequency of training, to achieve intelligent and personalized training. For example, if bladder pressure rises too quickly, the microprocessor 205 will control the electronic air pump 208 and the electronic infusion pump 209 to appropriately slow down the inflation and infusion speed; if the patient's pelvic floor muscle contraction ability is good, the microprocessor 205 will increase the training intensity according to the preset program to accelerate the filling and emptying speed of the simulated bladder 101, so as to further challenge the function of the pelvic floor muscles.
[0042] Training End and Data Recording
[0043] Once the training time reaches the preset duration or the patient completes the predetermined training goals, the microprocessor 205 of the training control system component 2 will issue a command to stop the operation of the electronic air pump 208 and the electronic infusion pump 209, simulating the bladder 101 ceasing filling and emptying process. Simultaneously, the microprocessor 205 stores all data from this training process, including the electrical activity of the pelvic floor muscles (such as electrical activity intensity, duration, and frequency), bladder pressure and capacity change curves, training duration, and training intensity, in the data storage module 207. This data allows medical staff to subsequently view and analyze the patient's training progress. Medical staff can access and analyze the patient's training data by operating the buttons on the training control system component 2. Based on the patient's recovery, they can further optimize and adjust the training plan, such as increasing training intensity, adjusting training frequency, or changing training modes, to ensure that the training plan remains suitable for the patient's rehabilitation process and needs.
[0044] The technical effects of this embodiment are as follows:
[0045] Precise simulation of bladder function and training guidance
[0046] Through the precise design of the simulated bladder component 1 and the precise control of the electronic air pump 208 and electronic infusion pump 209, the filling and emptying process of the human bladder can be highly simulated, providing a realistic physiological basis for pelvic floor muscle training. Combined with the precise monitoring of pelvic floor muscle electrical activity by the biofeedback sensor component 3 and the intelligent control and data analysis of the training control system component 2, patients can be guided in real-time to perform correct pelvic floor muscle contraction and relaxation training. This helps to activate and enhance the strength and coordination of the pelvic floor muscle groups, improving bladder control. For example, for patients whose pelvic floor muscle function has weakened due to surgery, this precise simulation training can help them re-establish effective bladder control and reduce the occurrence of bladder dysfunction such as urinary incontinence.
[0047] Multi-dimensional data collection and analysis
[0048] By utilizing the biofeedback sensor component 3 to collect electrical activity signals of the pelvic floor muscles and combining this with data on pressure and volume changes within the simulated bladder 101, the training control system component 2 can acquire physiological information about the patient during training from multiple dimensions. Through comprehensive analysis of this data by the microprocessor 205 and comparison with a preset normal bladder function recovery model and personalized training program, the degree of bladder dysfunction, rehabilitation progress, and training effectiveness can be accurately assessed. For example, by analyzing the characteristic parameters of the pelvic floor muscle electrical activity signals, it is possible to determine whether the muscle contraction timing and intensity are normal; based on bladder pressure and volume data, bladder compliance and recovery can be understood; based on these precise assessment results, more scientific and reasonable personalized rehabilitation training programs can be developed for patients, improving the targeting and effectiveness of rehabilitation treatment.
[0049] Personalized rehabilitation training and real-time feedback
[0050] Based on the powerful data processing capabilities and rich library of preset training programs of the training control system component 2, personalized rehabilitation training can be achieved according to the individual differences of each patient, such as surgical method, remaining bladder capacity, and pelvic floor muscle condition. During training, the microprocessor 205 can monitor the patient's training status in real time and adjust various training parameters in a timely manner based on the analysis results of sensor data, such as the working status of the electronic air pump 208 and electronic infusion pump 209, training intensity, and frequency. At the same time, the voice prompt module 203 and the LCD screen 202 provide real-time feedback to the patient on the training status, correct errors, and guide the patient to perform correct training. This personalized training and real-time feedback mechanism allows patients to understand their shortcomings in a timely manner during training and make adjustments and improvements according to the guidance of the device, which greatly improves the speed at which patients learn and master correct bladder function training techniques and accelerates the rehabilitation process. For example, if the patient experiences premature fatigue during pelvic floor muscle contraction, the device will automatically reduce the training intensity and prompt the patient to rest appropriately before continuing training; if the bladder pressure changes abnormally, the device will adjust the inflation and infusion parameters accordingly and provide detailed voice and display guidance to help the patient gradually improve bladder function.
[0051] Optimize medical and nursing workflows and outcomes
[0052] Healthcare professionals can easily select and adjust training programs through the training control system component 2, and monitor the patient's training process and data in real time, including detailed information such as pelvic floor muscle electrical activity intensity, bladder pressure and capacity changes, training duration, and training intensity. During training, healthcare professionals no longer need to spend significant time and effort on manual observation and guidance as with traditional methods. They only need to adjust the patient's training parameters in a timely manner based on the data and prompts provided by the system, offering more precise and efficient rehabilitation guidance. This significantly improves work efficiency and quality, allowing healthcare professionals to dedicate more time and energy to other patient care and treatment, thus optimizing the allocation and utilization of medical resources.
[0053] Meanwhile, the application of this device transforms bladder function recovery training from a traditional, experience-based, and subjective model to a scientific model based on data monitoring and intelligent analysis. The microprocessor 205 in the training control system can perform real-time, comprehensive analysis and evaluation of the patient's training progress based on preset complex training algorithms and program logic supported by extensive clinical data, and automatically adjust the training plan. This intelligent training method ensures that each patient receives a personalized and optimized training plan, avoiding the problem of poor training results caused by insufficient consideration of individual differences in traditional training methods. It improves the overall level and success rate of rehabilitation treatment, provides strong technical support and innovative means for clinical treatment in urology, and contributes to the advancement and development of medical technology.
[0054] Furthermore, the intelligent training device of this invention fully considers the patient's user experience and safety in its design. The medical-grade high-elasticity silicone material and scientific structural design of the simulated bladder 101 ensure patient comfort and safety. The flexible design and high-sensitivity electrodes of the biofeedback sensor component 3 reduce discomfort to the patient's body. The user-friendly interface and voice prompts of the training control system component 2 facilitate patient operation and understanding, enabling patients to participate more actively in the training process, improving patient compliance and rehabilitation effects, and demonstrating good clinical application value and social benefits.
[0055] For example, in clinical practice, a post-bladder cancer surgery patient using traditional training methods experienced limited effectiveness due to a lack of precise quantitative monitoring and personalized guidance. Urinary incontinence remained severe, significantly impacting their life. However, after using this intelligent training device and undergoing a period of personalized training, their pelvic floor muscle strength significantly improved, bladder capacity gradually returned to normal, and the incidence of urinary incontinence decreased significantly. This greatly improved the patient's quality of life and boosted their confidence in recovery. Simultaneously, medical staff were able to manage the patient's recovery process more efficiently, adjusting the training plan promptly based on data feedback, thus providing the patient with higher-quality medical services.
[0056] In summary, this intelligent training device for bladder function recovery after bladder cancer surgery achieves multiple advantages through the coordinated work of its components, including precise simulation, personalized training, multi-dimensional data collection and analysis, and optimized medical and nursing workflows. It brings new hope and an effective solution for bladder function recovery in patients after bladder cancer surgery, and is expected to be widely used and promoted in clinical practice, bringing benefits to more patients and promoting the development and progress of the field of urological rehabilitation.
[0057] Finally, it should be noted that the above description is only a preferred embodiment of the present utility model and is not intended to limit the present utility model. Although the present utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present utility model should be included within the protection scope of the present utility model.
Claims
1. A smart training device for bladder function recovery after bladder cancer surgery, comprising a simulated bladder, the top of which is connected to an electronic infusion pump and an electronic inflation pump in a training control system via silicone tubes, the bottom of which is connected to a urinary catheter, the training control system being externally connected to a biofeedback sensor via wiring, and a microprocessor that controls the entire device via wiring being fixedly installed inside the training control system.
2. The intelligent training device for bladder function recovery after bladder cancer surgery according to claim 1, characterized in that: The training control system includes a protective outer shell fixedly mounted externally. A liquid crystal display screen is fixedly mounted on the top of the outer shell, and a voice prompt module is fixedly mounted on the side of the liquid crystal display screen. A set of operation buttons are arranged from left to right below the liquid crystal display screen. A microprocessor is fixedly mounted in the center of the inner shell. A signal conditioning circuit is fixedly connected to one side of the microprocessor, and a data storage module is fixedly connected to the other side of the microprocessor. An electronic infusion pump and an electronic air pump are fixedly mounted below the outer shell.
3. The intelligent training device for bladder function recovery after bladder cancer surgery according to claim 2, characterized in that: The simulated bladder has an air inlet and a liquid inlet at the top. The air inlet is connected to the electronic air pump through the silicone tube, and the liquid inlet is connected to the electronic infusion pump through the silicone tube. Both the air inlet and the liquid inlet are equipped with one-way valves.
4. The intelligent training device for bladder function recovery after bladder cancer surgery according to claim 1, characterized in that: The biofeedback sensor consists of a sensor body and a signal transmission line. The sensor body is made of a rectangular flexible circuit board material. Four circular electrodes made of silver-silver chloride material are evenly distributed on the surface of the sensor body. The signal transmission line is a shielded twisted pair cable with an insulating rubber layer wrapped around it. One end of the signal transmission line is connected to the sensor body, and the other end of the signal transmission line is connected to the training control system.
5. The intelligent training device for bladder function recovery after bladder cancer surgery according to claim 1, characterized in that: The connection between the urinary catheter and the simulated bladder is achieved using a thermoforming process and is equipped with a reinforced rubber sealing ring.
6. The intelligent training device for bladder function recovery after bladder cancer surgery according to claim 1, characterized in that: One end of the catheter is connected to the simulated bladder, and the other end of the catheter is equipped with a standard medical interface and a disposable sterile protective sleeve.
7. The intelligent training device for bladder function recovery after bladder cancer surgery according to claim 2, characterized in that: The operation buttons include a power switch, a training mode selection button, a parameter adjustment button, a pause / resume button, and a reset button.