Intelligent monitoring method and system for bladder rehabilitation training
By using smart wearable devices to monitor the state of the bladder and pelvic floor muscles in real time, providing instant feedback and dynamic adjustments, the individualization and compliance issues of traditional bladder rehabilitation training are solved, thus improving training effectiveness.
Patent Information
- Application Number
- CN202511164746.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-20
- Publication Date
- 2025-11-18
AI Technical Summary
Traditional bladder rehabilitation training lacks individualized and precise dynamic optimization, making patient compliance management difficult and lacking in immediate feedback and interactivity, resulting in poor training effects.
It adopts a smart wearable sensing terminal, which integrates bladder pressure, volume and pelvic floor electromyography acquisition units, combined with processor and alarm module, to monitor and provide audible and visual alarms in real time, dynamically adjust training programs, and improve compliance by combining risk prediction and interactive games.
It enables individualized and precise monitoring and real-time feedback of bladder rehabilitation training, improving training effectiveness and enhancing patient compliance and safety.
Smart Images
Figure CN120959685A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of rehabilitation training technology, and in particular to an intelligent monitoring method and system for bladder rehabilitation training. Background Technology
[0002] Bladder dysfunction (such as urinary incontinence, neurogenic bladder, etc.) is a common problem affecting patients' quality of life. Bladder rehabilitation training is crucial after surgery or during the recovery period. Traditional bladder rehabilitation training mainly relies on the following methods, which have significant limitations:
[0003] First, it relies heavily on manual guidance and experience-based judgment: training programs (such as intermittent catheterization time, voiding diary recording, and the intensity and frequency of pelvic floor muscle exercises) are mainly developed by medical staff based on static assessments (such as urodynamic examinations and patient complaints). This results in poor monitoring continuity, delayed program adjustments, and difficulty in achieving individualized and precise dynamic optimization. Furthermore, it places a heavy burden on medical staff, making it difficult to meet the real-time needs of all patients.
[0004] Secondly, the training process lacks objective quantification and immediate feedback: patients rely primarily on subjective feelings (such as voiding diaries, self-perceived urge to urinate / bladder fullness) and simple timed reminder devices for home training. This approach suffers from significant recording errors, difficulty in ensuring compliance, and an inability to accurately capture the true state of bladder fullness and changes in contractile ability. Patients lack immediate and objective feedback on whether their training movements (such as pelvic floor muscle contraction) are correct and effective, thus affecting the training outcome.
[0005] Furthermore, managing patient adherence is challenging: the monotonous and prolonged rehabilitation training process can easily lead to patient burnout and decreased adherence. Traditional methods lack effective interactivity, engagement, and incentives based on individual progress, making it difficult to sustain patient motivation.
[0006] Therefore, how to effectively monitor patients' bladder rehabilitation training in order to improve the training effect is a technical problem that urgently needs to be solved. Summary of the Invention
[0007] In view of the above problems, the present invention provides an intelligent monitoring method and system for bladder rehabilitation training that overcomes or at least partially solves the above problems.
[0008] In a first aspect, the present invention provides an intelligent monitoring system for bladder rehabilitation training, comprising:
[0009] The intelligent wearable sensing terminal is worn by the patient when the patient is performing bladder rehabilitation training according to a preset training plan.
[0010] The intelligent wearable sensing terminal includes:
[0011] Bladder pressure acquisition unit, used to acquire intrabladder pressure data;
[0012] Bladder volume acquisition unit, used to acquire information about bladder volume;
[0013] The pelvic floor muscle electromyography (EMG) acquisition unit is used to acquire the contraction status of the pelvic floor muscles, including contraction intensity, contraction frequency, and contraction duration.
[0014] The processor, connected to a smart wearable sensing terminal, is used to monitor whether one or more of the following parameters—bladder pressure, bladder volume, and pelvic floor muscle contraction—exceed corresponding preset values, and to obtain monitoring results.
[0015] An alarm module, connected to the processor, is used to generate alarm information based on the monitoring results, perform local audible and visual alarms, and push alarm information to the patient or their family.
[0016] Preferably, the bladder pressure acquisition unit adopts a capacitive pressure sensor array, the bladder volume acquisition unit adopts a bioimpedance measurement electrode, and the bladder pressure acquisition unit and the bladder volume acquisition unit are respectively arranged in the bladder projection area of the patient's abdomen;
[0017] The pelvic floor electromyography (EMG) acquisition unit uses a surface EMG sensor, which is attached to the patient's genital area.
[0018] Preferably, the intelligent wearable sensing terminal further includes:
[0019] The posture sensing unit is used to monitor the patient's position or body swaying. The posture sensing unit uses a six-axis inertial sensor.
[0020] The processor is also used to identify body swaying and eliminate interference from the body swaying.
[0021] Preferably, it also includes: a risk prediction module, connected to the processor, for predicting the patient's risk of urinary tract infection, risk of bladder overdistension, and risk of detrusor-sphincter dyssynergia.
[0022] Preferably, the processor is used for:
[0023] Based on the intravesical pressure and bladder volume, the intravesical pressure fluctuation is determined;
[0024] Obtain bladder ultrasound examination results and determine residual urine volume trends based on the ultrasound examination results;
[0025] Obtain the measurement results from an external thermometer, and determine the trend of body temperature change based on the measurement results from the external thermometer;
[0026] Obtain the results of the urine analyzer and determine the pH of the urine based on the results.
[0027] Preferably, the risk prediction module employs a time-series prediction model and an anomaly detection model for:
[0028] Based on bladder pressure fluctuations, residual urine volume trends, body temperature changes, and urine pH, the patient's risk of urinary tract infection, bladder overdistension, and detrusor-sphincter dysregulation is determined.
[0029] Preferably, it further includes:
[0030] The input module is used to input the patient's historical urodynamic reports, historical medical records, real-time physiological characteristics, and real-time subjective symptom feedback. The historical urodynamic reports include historical intravesical pressure and historical bladder volume.
[0031] The strategy generator, connected to the input module, is used to generate an adjustment plan for bladder rehabilitation training based on the patient's historical urodynamic reports, medical history, real-time physiological characteristics, and real-time subjective symptom feedback.
[0032] Preferably, the adjustment plan for the bladder rehabilitation training includes:
[0033] The timing of catheterization for patients was dynamically adjusted, as were the pelvic floor muscle training programs.
[0034] Dynamic adjustment of catheterization timing for patients includes: optimizing the catheterization interval based on changes in patient bladder compliance;
[0035] Adjustments to the pelvic floor muscle training program include: progressively adjusting the intensity, number of contractions, and duration of contraction.
[0036] Preferably, it further includes:
[0037] The patient-end device, connected to the processor, is used to provide interactive games corresponding to pelvic floor muscle training to guide pelvic floor muscle training.
[0038] The medical staff management device, connected to the processor, is used to view the recovery progress, compliance scores, and risk warning statistics of each patient, and is also used to provide remote video guidance and emergency contact with family members.
[0039] Secondly, the present invention also provides an intelligent monitoring method for bladder rehabilitation training, comprising:
[0040] The patient wears a smart wearable sensing terminal, which includes a bladder pressure acquisition unit, a bladder volume acquisition unit, and a pelvic floor muscle electromyography acquisition unit. When the patient performs bladder rehabilitation training according to a preset training plan, the bladder pressure acquisition unit collects the intrabladder pressure, the bladder volume acquisition unit collects the bladder volume, and the pelvic floor muscle electromyography acquisition unit collects the contraction of the pelvic floor muscles. The contraction information includes: contraction intensity, contraction frequency, and contraction duration.
[0041] Monitor whether one or more of the following parameters—bladder pressure, bladder volume, and pelvic floor muscle contraction—exceed corresponding preset values, and obtain the monitoring results;
[0042] Based on the monitoring results, alarm information is generated, local audible and visual alarms are activated, and alarm information is pushed to the patient or their family.
[0043] Thirdly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the second aspect.
[0044] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:
[0045] This invention provides an intelligent monitoring system for bladder rehabilitation training, comprising: an intelligent wearable sensing terminal, worn by the patient during bladder rehabilitation training according to a preset training plan; the intelligent wearable sensing terminal includes: a bladder pressure acquisition unit for acquiring bladder pressure; a bladder volume acquisition unit for acquiring bladder volume changes; a pelvic floor muscle electromyography acquisition unit for acquiring pelvic floor muscle contraction, including contraction intensity, contraction frequency, and contraction duration; a processor connected to the intelligent wearable sensing terminal for monitoring whether one or more of the bladder pressure, bladder volume changes, and pelvic floor muscle contraction exceed corresponding preset values, and obtaining monitoring results; and an early warning module connected to the processor for generating alarm information based on the monitoring results, performing local audible and visual alarms, and pushing alarm information to the patient or their family. This system dynamically monitors the patient's bladder and pelvic floor muscle rehabilitation using non-invasive methods, improving the effectiveness of rehabilitation training. Attached Figure Description
[0046] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:
[0047] Figure 1A schematic diagram of the intelligent monitoring system for bladder rehabilitation training in an embodiment of the present invention is shown;
[0048] Figure 2 A flowchart illustrating the steps of the intelligent monitoring method for bladder rehabilitation training in an embodiment of the present invention is shown. Detailed Implementation
[0049] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the invention and to fully convey the scope of the invention to those skilled in the art.
[0050] Example 1:
[0051] Embodiments of the present invention provide an intelligent monitoring system for bladder rehabilitation training, such as... Figure 1 As shown, it includes:
[0052] The intelligent wearable sensing terminal 10 is worn by the patient when the patient performs bladder rehabilitation training according to a preset training plan.
[0053] The smart wearable sensing terminal 10 includes:
[0054] Bladder pressure acquisition unit 101 is used to acquire intrabladder pressure.
[0055] Bladder volume acquisition unit 102 is used to collect information on changes in bladder volume.
[0056] The pelvic floor muscle electromyography acquisition unit 103 is used to acquire the contraction of the pelvic floor muscles, including the contraction intensity, contraction frequency, and contraction duration.
[0057] The processor 20 is connected to the smart wearable sensing terminal 10 to monitor whether one or more of the following exceed the corresponding preset values: bladder pressure, bladder volume changes, and pelvic floor muscle contraction, and to obtain the monitoring results.
[0058] The alarm module 30 is connected to the processor 20 and is used to generate alarm information based on the monitoring results, perform local audible and visual alarms, and push alarm information to the patient or family members.
[0059] The smart wearable sensing terminal 10 mainly collects data on bladder pressure, bladder volume changes, and pelvic floor muscle contraction.
[0060] The bladder pressure acquisition unit 101 employs a capacitive pressure sensor array, while the bladder volume acquisition unit utilizes bioimpedance measurement electrodes. These two units are positioned on the patient's abdomen, corresponding to the bladder projection area. The capacitive pressure sensor array directly measures the pressure on the outer layer of the body surface, allowing the bladder pressure to be inferred from the relationship between internal and external pressure. The bioimpedance measurement electrodes acquire impedance changes on the abdominal surface, and the bladder volume changes are inferred from the relationship between impedance changes and filling volume.
[0061] This pelvic floor electromyography (EMG) acquisition unit uses a surface EMG sensor, which is attached to the patient's genital area. This surface EMG sensor can acquire the contraction intensity, contraction frequency, and contraction duration of the pelvic floor muscles in real time.
[0062] The processor 20, specifically a low-power MCU, can first preprocess the collected data on bladder pressure, bladder volume changes, and pelvic floor muscle contraction, including filtering, noise reduction, and baseline calibration.
[0063] Of course, more importantly, it allows for non-invasive, continuous, and dynamic monitoring of the collected data on bladder pressure, bladder volume changes, and pelvic floor muscle contraction, providing a real-time physiological data foundation for rehabilitation training. Specifically, the processor 20 can monitor whether one or more of these parameters exceed corresponding preset values.
[0064] Among them, bladder volume and intravesical pressure are correlated, and the relationship between the two is analyzed through three stages:
[0065] In the early stages of bladder filling, the intravesical pressure rises slowly from a low level. Specifically, when the bladder volume is between 0 and 150 ml, the intravesical pressure stabilizes in the range of 5 to 15 cmH2O. During this stage, the elastic folds of the bladder wall gradually flatten out, allowing the bladder volume to increase significantly while the intravesical pressure only rises slightly, thus demonstrating the high compliance of the bladder.
[0066] During the middle stage of bladder filling, the intravesical pressure stabilizes. Specifically, the bladder volume increases to 150–300 ml, and the pressure slowly rises to 15–40 cmH2O. The smooth muscle of the bladder wall maintains a relatively stable low-pressure state through adaptive relaxation, avoiding frequent urination.
[0067] At the end of bladder filling, a sharp increase in intravesical pressure occurs. Specifically, when the bladder volume exceeds 300 ml and approaches 400-500 ml, the intravesical pressure rises rapidly and may exceed 40 cmH2O. During this stage, the bladder wall reaches its limit of stretching, and the detrusor muscle tone increases significantly, triggering a strong urge to urinate.
[0068] The bladder's filling state includes: empty, low-fill, moderate-fill, high-fill, and critically full. The contraction of the pelvic floor muscles includes three types: correct contraction, compensatory contraction, and ineffective contraction.
[0069] When the intravesical pressure is consistently greater than 40 cmH2O, it can impair the ureter's anti-reflux mechanism, leading to hydronephrosis and renal function damage, requiring clinical intervention.
[0070] Abnormal contractions of the pelvic floor muscles, such as long-term compensatory contractions, can lead to further atrophy of the pelvic floor muscles, increase the risk of organ prolapse, cause lumbosacral pain, or cause abnormally high pelvic floor muscle tension.
[0071] Therefore, when the processor 20 detects that the intrabladder pressure is greater than 40 cmH2O, the bladder volume is greater than 500 ml, or the pelvic floor muscle contraction is abnormal, the alarm module 30 generates alarm information, performs local audible and visual alarm, and pushes the alarm information to the patient or family members.
[0072] By effectively monitoring any abnormalities in patients during bladder rehabilitation training, various risks related to the bladder and pelvic floor muscles can be avoided, thereby improving training effectiveness.
[0073] The smart wearable sensing terminal 10 also includes: a posture sensing unit for monitoring the patient's position or body swaying, the posture sensing unit using a six-axis inertial sensor; and a processor 20 for identifying body swaying and eliminating interference from body swaying.
[0074] Since patients may be in different positions after surgery, such as lying down or sitting, we can identify them by their different positions and determine the precautions to take in each position.
[0075] The posture sensing unit can also collect information on the patient's body swaying. The processor 20 identifies and eliminates this information based on the collected data, thereby providing real-time and effective physiological data for rehabilitation training.
[0076] The system also includes a risk prediction module, connected to processor 20, for predicting the patient's risk of urinary tract infection, bladder overdistension, and detrusor-sphincter dyssynergia.
[0077] First, the processor 20 is used to: determine the fluctuation of intrabladder pressure based on intrabladder pressure and bladder volume; acquire bladder ultrasound examination results and determine the residual urine volume trend based on the ultrasound examination results; acquire external thermometer measurement results and determine the body temperature change trend based on the external thermometer measurement results; acquire urine analyzer test results and determine urine pH based on the test results.
[0078] This risk prediction module employs a time-series prediction model and anomaly detection model for:
[0079] Based on bladder pressure fluctuations, residual urine volume trends, body temperature changes, and urine pH, the patient's risk of urinary tract infection, bladder overdistension, and detrusor-sphincter system dysfunction is determined.
[0080] Because this risk prediction module is trained on historical data, it can predict various bladder abnormality risks based on historical fluctuations in intravesical pressure, trends in residual urine volume, trends in body temperature changes, and historical urine pH. For example, abnormal and persistent high body temperature, with other parameters normal, predicts a potential risk of urinary tract infection; and a gradual accumulation of residual urine and increasing intravesical pressure predicts a potential risk of detrusor-sphincter dysregulation.
[0081] By making predictions in advance, patients can be alerted early and interventions can be implemented in advance to avoid various risk situations.
[0082] In one alternative implementation, the system further includes:
[0083] The input module is used to input the patient's historical urodynamic reports, medical history, real-time physiological characteristics, and real-time subjective symptom feedback. The historical urodynamic reports include historical intravesical pressure and historical bladder volume.
[0084] The strategy generator, connected to the input module, is used to generate adjustment plans for bladder rehabilitation training based on the patient's historical urodynamic reports, medical history, real-time physiological characteristics, and real-time subjective symptom feedback.
[0085] The strategy generator is pre-trained, using historical urodynamic reports, medical records, real-time data, and subjective symptom feedback from patients to determine parameters for adjusting bladder rehabilitation training. These parameters can include catheterization intervals, pelvic floor muscle contraction strength, number of contractions, and contraction duration, to adapt to different training progress.
[0086] During routine bladder rehabilitation training, bladder function is improved through methods such as regular urination, pelvic floor muscle exercises, and fluid management.
[0087] The adjustment plan for this bladder rehabilitation training includes:
[0088] The timing of catheterization for patients was dynamically adjusted, as were the pelvic floor muscle training programs.
[0089] Dynamic adjustment of catheterization timing for patients includes: optimizing the catheterization interval based on changes in the patient's bladder compliance; for example, extending the catheterization interval as the recovery progresses.
[0090] Among them, bladder compliance change refers to a pathological state in which the ratio of bladder volume change to detrusor pressure change during bladder filling deviates from the normal range.
[0091] For example, when a patient has low bladder compliance, even a small amount of urine filling the bladder can cause a sharp increase in detrusor pressure.
[0092] When a patient has high bladder compliance, the bladder is overdistended, but the detrusor pressure does not increase accordingly.
[0093] The catheterization intervals differ significantly between the two situations described above.
[0094] Adjustments to the pelvic floor muscle training program include: progressively adjusting the intensity, number of contractions, and duration of contraction.
[0095] In one alternative implementation, a virtual mapping of the patient's bladder function can be constructed to simulate the effects of different training adjustment schemes, thereby providing the optimal adjustment scheme.
[0096] In one alternative implementation, the system further includes:
[0097] The patient-side device, connected to processor 20, provides interactive games corresponding to pelvic floor muscle training to guide the training. For example, the training process can be simulated as a game scenario of controlling a spaceship to avoid obstacles. Patients can tighten their pelvic floor muscles when avoiding obstacles and relax them afterward, thus improving the effectiveness of the guided training.
[0098] The healthcare management device connects to the processors at each patient's location to view each patient's recovery progress, compliance scores, and risk warning statistics. It can also provide remote video guidance and emergency contact with family members.
[0099] Each patient is equipped with a patient-end device, specifically a corresponding app and a smart wearable sensing terminal. The patient-end device allows them to view their training data and access guided training game scenarios via the app.
[0100] The medical care management device can be connected to the processors corresponding to the smart wearable sensing terminals of multiple patients to collect statistics on the training status of multiple patients. This can include the rehabilitation progress of each patient (according to the training plan, the current training stage and rehabilitation status), compliance score (specifically, the patient's execution of rehabilitation training, which is determined based on the patient's execution of training and feedback information), and risk warning statistics (risk status determined by the risk prediction module connected to the processor 20).
[0101] When patients require guidance, the medical staff management device can remotely connect to the patient's device, allowing medical staff located at the medical staff management device to provide remote video guidance. In case of emergency treatment, the medical staff management device can also directly contact family members, making it convenient for patients to operate.
[0102] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:
[0103] This invention provides an intelligent monitoring system for bladder rehabilitation training, comprising: an intelligent wearable sensing terminal, worn by the patient during bladder rehabilitation training according to a preset training plan; the intelligent wearable sensing terminal includes: a bladder pressure acquisition unit for acquiring bladder pressure; a bladder volume acquisition unit for acquiring bladder volume changes; a pelvic floor muscle electromyography acquisition unit for acquiring pelvic floor muscle contraction, including contraction intensity, contraction frequency, and contraction duration; a processor connected to the intelligent wearable sensing terminal for monitoring whether one or more of the bladder pressure, bladder volume changes, and pelvic floor muscle contraction exceed corresponding preset values, and obtaining monitoring results; and an early warning module connected to the processor for generating alarm information based on the monitoring results, performing local audible and visual alarms, and pushing alarm information to the patient or their family. This system dynamically monitors the patient's bladder and pelvic floor muscle rehabilitation using non-invasive methods, improving the effectiveness of rehabilitation training.
[0104] Example 2
[0105] Based on the same inventive concept, this invention also provides an intelligent monitoring method for bladder rehabilitation training, such as... Figure 2 As shown, it includes:
[0106] S201, the patient wears a smart wearable sensing terminal, which includes a bladder pressure acquisition unit, a bladder volume acquisition unit, and a pelvic floor muscle electromyography acquisition unit. When the patient performs bladder rehabilitation training according to the preset training plan, the bladder pressure acquisition unit collects the intrabladder pressure, the bladder volume acquisition unit collects the bladder volume, and the pelvic floor muscle electromyography acquisition unit collects the contraction of the pelvic floor muscles. The contraction includes: contraction intensity, contraction frequency, and contraction duration.
[0107] S202, monitor whether one or more of the following parameters—bladder pressure, bladder volume, and pelvic floor muscle contraction—exceed the corresponding preset values, and obtain the monitoring results;
[0108] S203 generates alarm information based on monitoring results, performs local audible and visual alarms, and pushes alarm information to the patient or their family.
[0109] In one optional implementation, the method further includes: monitoring the patient's posture or body swaying, wherein the posture sensing unit employs a six-axis inertial sensor;
[0110] Identify body swaying and eliminate the interference of body swaying.
[0111] In one alternative implementation, it further includes:
[0112] Predict the risk of urinary tract infection, bladder overdistension, and detrusor-sphincter dyssynergia in patients.
[0113] In one alternative implementation, it further includes:
[0114] Based on the intravesical pressure and bladder volume, the intravesical pressure fluctuation is determined;
[0115] Obtain bladder ultrasound examination results and determine residual urine volume trends based on the ultrasound examination results;
[0116] Obtain the measurement results from an external thermometer, and determine the trend of body temperature change based on the measurement results from the external thermometer;
[0117] Obtain the results of the urine analyzer and determine the pH of the urine based on the results.
[0118] In one alternative implementation, it further includes:
[0119] Based on bladder pressure fluctuations, residual urine volume trends, body temperature trends, and urine pH, the patient's risk of urinary tract infection, bladder overdistension, and detrusor-sphincter dysregulation is determined.
[0120] In one alternative implementation, it further includes:
[0121] Input the patient’s historical urodynamic reports, medical history, real-time physiological characteristics and real-time subjective symptom feedback. The historical urodynamic reports include historical intravesical pressure and historical bladder volume.
[0122] Based on the patient's historical urodynamic reports, medical history, real-time physiological characteristics, and real-time subjective symptom feedback, an adjustment plan for bladder rehabilitation training is generated.
[0123] In one optional implementation, the adjustment scheme for the bladder rehabilitation training includes:
[0124] The timing of catheterization for patients was dynamically adjusted, as were the pelvic floor muscle training programs.
[0125] Dynamic adjustment of catheterization timing for patients includes: optimizing the catheterization interval based on changes in patient bladder compliance;
[0126] Adjustments to the pelvic floor muscle training program include: progressively adjusting the intensity, number of contractions, and duration of contraction.
[0127] In one alternative implementation, it further includes:
[0128] Provide interactive games that correspond to pelvic floor muscle training to guide pelvic floor muscle training;
[0129] In one alternative implementation, it further includes:
[0130] It allows users to view each patient's recovery progress, compliance scores, and risk warning statistics, and is also used to provide remote video guidance and emergency contact with family members.
[0131] Example 3:
[0132] Based on the same inventive concept, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described intelligent monitoring method for bladder rehabilitation training.
[0133] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, this invention is not directed to any particular programming language. It should be understood that the contents of the invention described herein can be implemented using various programming languages, and the above description of specific languages is for the purpose of disclosing the best mode of implementation of the invention.
[0134] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.
[0135] Similarly, it should be understood that, in order to simplify the invention and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof. However, this disclosure should not be construed as reflecting an intention that the claimed invention requires more features than are explicitly recited in each embodiment. Rather, as reflected in each embodiment, inventive aspects lie in fewer than all features of the single foregoing disclosed embodiment. Therefore, the claims, following the detailed description, are hereby expressly incorporated into this detailed description, wherein each claim itself is a separate embodiment of the invention.
[0136] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.
[0137] Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the specific implementation, any of the claimed embodiments can be used in any combination.
[0138] The various component embodiments of the present invention can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components in the intelligent monitoring system for bladder rehabilitation training according to embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and computer program product) for performing part or all of the methods described herein. Such programs implementing the present invention can be stored on a computer-readable medium or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.
[0139] It should be noted that the above embodiments are illustrative of the invention and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.
Claims
1. An intelligent monitoring system for bladder rehabilitation training, characterized in that, include: The intelligent wearable sensing terminal is worn by the patient when the patient is performing bladder rehabilitation training according to a preset training plan. The intelligent wearable sensing terminal includes: Bladder pressure acquisition unit, used to acquire intrabladder pressure data; Bladder volume acquisition unit, used to acquire information about bladder volume; The pelvic floor muscle electromyography (EMG) acquisition unit is used to acquire the contraction status of the pelvic floor muscles, including contraction intensity, contraction frequency, and contraction duration. The processor, connected to a smart wearable sensing terminal, is used to monitor whether one or more of the following parameters—bladder pressure, bladder volume, and pelvic floor muscle contraction—exceed corresponding preset values, and to obtain monitoring results. An alarm module, connected to the processor, is used to generate alarm information based on the monitoring results, perform local audible and visual alarms, and push alarm information to the patient or their family.
2. The system as described in claim 1, characterized in that, The bladder pressure acquisition unit uses a capacitive pressure sensor array, the bladder volume acquisition unit uses a bioimpedance measurement electrode, and the bladder pressure acquisition unit and the bladder volume acquisition unit are respectively arranged in the bladder projection area of the patient's abdomen. The pelvic floor electromyography (EMG) acquisition unit uses a surface EMG sensor, which is attached to the patient's genital area.
3. The system as described in claim 1, characterized in that, The intelligent wearable sensing terminal also includes: The posture sensing unit is used to monitor the patient's position or body swaying. The posture sensing unit uses a six-axis inertial sensor. The processor is also used to identify body swaying and eliminate interference from the body swaying.
4. The system as described in claim 1, characterized in that, Also includes: The risk prediction module, connected to the processor, is used to predict a patient's risk of urinary tract infection, bladder overdistension, and detrusor-sphincter dyssynergia.
5. The system as described in claim 4, characterized in that, The processor is used for: Based on the intravesical pressure and bladder volume, the intravesical pressure fluctuation is determined; Obtain bladder ultrasound examination results and determine residual urine volume trends based on the ultrasound examination results; Obtain the measurement results from an external thermometer, and determine the trend of body temperature change based on the measurement results from the external thermometer; Obtain the results of the urine analyzer and determine the pH of the urine based on the results.
6. The system as described in claim 5, characterized in that, The risk prediction module employs a time-series prediction model and anomaly detection model for: Based on bladder pressure fluctuations, residual urine volume trends, body temperature changes, and urine pH, the patient's risk of urinary tract infection, bladder overdistension, and detrusor-sphincter dysregulation is determined.
7. The system as described in claim 1, characterized in that, Also includes: The input module is used to input the patient's historical urodynamic reports, historical medical records, real-time physiological characteristics, and real-time subjective symptom feedback. The historical urodynamic reports include historical intravesical pressure and historical bladder volume. The strategy generator, connected to the input module, is used to generate an adjustment plan for bladder rehabilitation training based on the patient's historical urodynamic reports, medical history, real-time physiological characteristics, and real-time subjective symptom feedback.
8. The system as described in claim 7, characterized in that, The adjustment plan for the bladder rehabilitation training includes: The timing of catheterization for patients was dynamically adjusted, as were the pelvic floor muscle training programs. Dynamic adjustment of catheterization timing for patients includes: optimizing the catheterization interval based on changes in patient bladder compliance; Adjustments to the pelvic floor muscle training program include: progressively adjusting the intensity, number of contractions, and duration of contraction.
9. The system as described in claim 1, characterized in that, Also includes: The patient-end device, connected to the processor, is used to provide interactive games corresponding to pelvic floor muscle training to guide pelvic floor muscle training. The medical staff management device, connected to the processor, is used to view the recovery progress, compliance scores, and risk warning statistics of each patient, and is also used to provide remote video guidance and emergency contact with family members.
10. A method for intelligent monitoring of bladder rehabilitation training, characterized in that, include: The patient wears a smart wearable sensing terminal, which includes a bladder pressure acquisition unit, a bladder volume acquisition unit, and a pelvic floor muscle electromyography acquisition unit. When the patient performs bladder rehabilitation training according to a preset training plan, the bladder pressure acquisition unit collects the intrabladder pressure, the bladder volume acquisition unit collects the bladder volume, and the pelvic floor muscle electromyography acquisition unit collects the contraction of the pelvic floor muscles. The contraction information includes: contraction intensity, contraction frequency, and contraction duration. Monitor whether one or more of the following parameters—bladder pressure, bladder volume, and pelvic floor muscle contraction—exceed corresponding preset values, and obtain the monitoring results; Based on the monitoring results, alarm information is generated, local audible and visual alarms are activated, and alarm information is pushed to the patient or their family.