A control method and related equipment for sacral nerve electrical stimulation

Abstract

The present invention provides a control method and related equipment for sacral nerve electrical stimulation, which are applied in the field of data processing technology. The present application obtains historical physiological parameter information of a target user and real-time physiological parameter information of a target user; processes the real-time physiological parameter information of a target user to generate user data to be monitored with identification information; obtains a preset biological nerve stimulation signal generation model that matches the identification information; processes the preset biological nerve stimulation signal generation model based on the historical physiological parameter signal of the target user to generate a target biological nerve stimulation signal generation model; processes the physiological parameter information of the target user based on the target biological nerve stimulation signal generation model to generate a real-time external anal sphincter potential signal; processes the amplitude of the external anal sphincter potential signal based on a preset processing rule to generate a sacral nerve stimulation signal; and sends the sacral nerve stimulation signal to a target terminal device.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a control method for sacral nerve electrical stimulation and related equipment. Background Art

[0002] Sacral nerve electrical stimulation is a method of treating refractory urinary frequency and urgency, represented by overactive bladder. Sacral nerve electrical stimulation regulates bladder function by stimulating the sacral nerves, thereby alleviating symptoms of urgency and frequency. This treatment method usually uses an external device to electrically stimulate the sacral nerve roots to regulate bladder function. The current stimulation mode of sacral nerve electrical stimulation devices is continuous stimulation, that is, from the time the patient implants the device, the device will continue to send electrical pulses to stimulate the sacral nerves without shutting down, whether during an attack or between attacks. This will greatly increase power consumption, and a considerable number of patients will feel uncomfortable due to electrical stimulation, and continuous electrical stimulation increases the negative experience.

[0003] Although there are currently a variety of machine learning models for detecting urgency and frequency of urination, large-scale clinical applications are still in the early stages. That is, existing detection models are mainly trained based on pre-labeled offline data, which means that existing solutions can only be used to detect urgency and frequency of urination events in collected data, but cannot be used for real-time online detection and intervention. At the same time, due to the irregular nature of urgency and frequency of urination, the existing solutions have poor accuracy in urgency and frequency of urination detection in clinical practice, and the detection speed is slow, making it difficult for medical staff to conduct real-time monitoring and timely intervention through existing solutions, and may lead to adverse consequences due to the inability to stop urgency and frequency of urination in time.

[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0005] The purpose of this application is to provide a control method and related equipment for sacral nerve electrical stimulation, which at least to a certain extent overcomes the problems existing in the prior art, by collecting user history and real-time physiological parameters, processing and generating feature vectors, matching and customizing biological nerve stimulation models, real-time monitoring and generating external anal sphincter potential signals, generating sacral nerve stimulation signals based on preset thresholds, implementing precise treatment through target devices, and continuously optimizing and improving the quality of life of patients.

[0006] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present invention.

[0007] According to one aspect of the present application, a control method for sacral nerve electrical stimulation is provided, comprising: obtaining historical physiological parameter information of a target user and real-time physiological parameter information of the target user; processing the real-time physiological parameter information of the target user to generate user data to be monitored with identification information, wherein the identification information is used to characterize the target item to be detected by the target user at present; obtaining a preset biological neural stimulation signal generation model that matches the identification information; processing the preset biological neural stimulation signal generation model based on the historical physiological parameter signal of the target user to generate a target biological neural stimulation signal generation model, wherein the historical physiological parameter signal of the target user includes a target item to be detected by the target user at present. The target user obtains a training sample corresponding to the target; based on the target biological nerve stimulation signal generation model, the physiological parameter information of the target user is processed to generate a real-time external anal sphincter potential signal, wherein the external anal sphincter potential signal includes the external anal sphincter potential signal amplitude, and the external anal sphincter potential signal amplitude includes the external anal sphincter diastolic target amplitude and the external anal sphincter contraction target amplitude; based on the preset processing rules, the external anal sphincter potential signal amplitude is processed to generate a sacral nerve stimulation signal, wherein the preset threshold is set based on the real-time physiological parameter information of the target user; the sacral nerve stimulation signal is sent to the target terminal device for the target terminal device to operate the target user.

[0008] In one embodiment of the present application, the preset biological neural stimulation signal generation model is processed based on the historical physiological parameter signals of the target user to generate a target biological neural stimulation signal generation model, including: extracting features from the historical physiological parameter signals of the target user to generate an original feature library, wherein the original feature library includes non-continuous variable data and continuous variable data; processing the historical physiological parameter signals of the target user based on the non-continuous variable data to generate an initial training set; processing the initial training set based on the continuous variable data to generate a target training set, wherein the target training set includes several external anal sphincter potential signal amplitude reference intervals.

[0009] In one embodiment of the present application, the preset biological neural stimulation signal generation model is processed based on the historical physiological parameter signal of the target user to generate a target biological neural stimulation signal generation model, and also includes: processing the target training set to generate multiple continuous variable data matching the identification information; processing the multiple continuous variable data based on a preset function to generate a target external anal sphincter potential signal amplitude reference interval, wherein the target external anal sphincter potential signal amplitude reference interval is a preset reference range matching the target user; generating a target biological neural stimulation signal generation model based on the target external anal sphincter potential signal amplitude reference interval.

[0010] In one embodiment of the present application, the real-time physiological parameter information of the target user is processed to generate user data to be monitored with identification information, including: processing the real-time physiological parameter information of the target user to generate user attribute information, wherein the user attribute information includes target items to be detected by the target user; performing feature extraction on the real-time physiological parameter information of the target user to generate a target feature library; processing the user attribute information based on the target feature library to generate user data to be monitored with identification information.

[0011] In one embodiment of the present application, the physiological parameter information of the target user is processed based on the target biological nerve stimulation signal generation model to generate a real-time external anal sphincter potential signal, including: processing the target training set based on the target biological nerve stimulation signal generation model to generate a preset external anal sphincter potential signal data set; processing the preset external anal sphincter potential signal data set to obtain irritation features and correlation co-occurrence frequencies; processing the irritation features and the correlation co-occurrence frequencies to generate correlation matrix information; generating a priori knowledge graph for characterizing the external anal sphincter potential signal based on the correlation matrix information; processing the physiological parameter information of the target user based on the prior knowledge graph to generate a real-time external anal sphincter potential signal.

[0012] In one embodiment of the present application, the stimulant feature and the correlation co-occurrence frequency are processed to generate correlation matrix information, including: the method includes a calculation formula for calculating the correlation co-occurrence frequency, and the calculation formula is: ;in, Representation concept and Concept The number of report-level co-occurrences, Representation concept The total number of occurrences, Representation concept Concept of appearance Frequency of occurrence: The method includes a calculation formula for calculating a correlation matrix, which is: ; where τ is the co-occurrence frequency threshold, if If it is greater than or equal to the threshold τ, the concept To concept There is a correlation, otherwise there is no correlation.

[0013] In one embodiment of the present application, the external anal sphincter potential signal amplitude is processed based on preset processing rules to generate a sacral nerve stimulation signal, including: processing the real-time external anal sphincter point signal to generate a potential signal feature vector; processing the potential signal feature vector based on the target biological nerve stimulation signal generation model to generate a classification result, wherein the classification result is set based on the external anal sphincter potential signal amplitude; if the classification result is that the external anal sphincter potential signal amplitude is greater than a preset threshold, a sacral nerve stimulation signal is generated.

[0014] Another aspect of the present application is a control device for sacral nerve electrical stimulation, characterized in that it includes: an acquisition module for acquiring historical physiological parameter information of a target user and real-time physiological parameter information of the target user; acquiring a preset biological neural stimulation signal generation model that matches the identification information; a processing module for processing the real-time physiological parameter information of the target user to generate user data to be monitored with identification information, wherein the identification information is used to characterize the target item to be detected currently by the target user; processing the preset biological neural stimulation signal generation model based on the historical physiological parameter signal of the target user to generate a target biological neural stimulation signal generation model, wherein the historical physiological parameter signal of the target user includes a signal for detecting the target item to be detected currently by the target user. The method comprises the following steps: obtaining a training sample corresponding to the target item to be measured; processing the physiological parameter information of the target user based on the target biological nerve stimulation signal generation model to generate a real-time external anal sphincter potential signal, wherein the external anal sphincter potential signal includes the external anal sphincter potential signal amplitude, and the external anal sphincter potential signal amplitude includes the external anal sphincter diastolic target amplitude and the external anal sphincter contraction target amplitude; processing the external anal sphincter potential signal amplitude based on a preset processing rule to generate a sacral nerve stimulation signal, wherein the preset threshold is set based on the real-time physiological parameter information of the target user; a sending module is used to send the sacral nerve stimulation signal to a target terminal device so that the target terminal device can operate the target user.

[0015] According to another aspect of the present application, an electronic device is provided, comprising: a first processor; and a memory for storing executable instructions of the first processor; wherein the first processor is configured to execute the above-mentioned control method for sacral nerve electrical stimulation by executing the executable instructions.

[0016] According to another aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a second processor, the control method for sacral nerve electrical stimulation is implemented.

[0017] According to another aspect of the present application, a computer program product is provided, comprising a computer program, wherein the computer program implements the above-mentioned control method for sacral nerve electrical stimulation when executed by a third processor.

[0018] The present application provides a control method and related equipment for sacral nerve electrical stimulation, in which a server collects user historical and real-time physiological parameters, processes and generates feature vectors, matches and customizes biological nerve stimulation models, monitors and generates external anal sphincter potential signals in real time, generates sacral nerve stimulation signals based on preset thresholds, implements precise treatment through target devices, and continuously optimizes and improves the quality of life of patients.

[0019] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A flow chart showing a control method for sacral nerve electrical stimulation provided by an embodiment of the present application;

[0021] Figure 2 A schematic diagram of the structure of a control device for sacral nerve electrical stimulation provided by an embodiment of the present application is shown;

[0022] Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present application is shown;

[0023] Figure 4 A schematic diagram of a storage medium provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0024] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0025] Combine the following Figure 1 To describe the control method of sacral nerve electrical stimulation according to an exemplary embodiment of the present application. It should be noted that the following application scenarios are only shown to facilitate understanding of the spirit and principles of the present application, and the embodiments of the present application are not limited in this regard. On the contrary, the embodiments of the present application can be applied to any applicable scenario.

[0026] In one embodiment, the present application also provides a control method and related equipment for sacral nerve electrical stimulation. Figure 1 The flowchart of a control method for sacral nerve electrical stimulation according to an embodiment of the present application is schematically shown. Figure 1 As shown, the method is applied to a server, comprising:

[0027] S101, obtaining historical physiological parameter information and real-time physiological parameter information of a target user.

[0028] In one embodiment, the present invention can intelligently adjust the timing and intensity of sacral nerve stimulation according to the real-time physiological state of patients with urinary urgency symptoms. In order to achieve this goal, a series of physiological parameter information needs to be collected and analyzed. This application does not limit the specific physiological parameter information, which includes but is not limited to:

[0029] Urodynamic parameters: including urine flow rate, urine volume, etc., can reflect the patient's urination function status.

[0030] Bladder pressure: Bladder pressure measurement can be used to understand the changes in bladder pressure during urine storage and urination.

[0031] Heart rate and blood pressure: can provide information about the patient's overall health status.

[0032] Electrodermal activity: reflects the activity of the sympathetic nervous system and may be related to urinary urgency symptoms.

[0033] Abdominal pressure: Changes in abdominal pressure can affect bladder pressure and function.

[0034] Weight and BMI: Changes in weight may affect urinary urgency symptoms, and BMI (body mass index) can reflect a patient's body shape and health status.

[0035] Activity level: Activity trackers collect data such as number of steps and activity intensity to understand the patient's daily activity patterns.

[0036] Sleep quality: Sleep monitoring data, including sleep cycles, number of awakenings, etc., may be related to the occurrence of urinary urgency symptoms.

[0037] Eating habits: fluid intake, eating times, etc., because diet affects the speed of bladder filling and the occurrence of urinary urgency.

[0038] Medication use record: The patient is currently taking medications that may affect urination function.

[0039] Environmental factors: such as temperature, humidity, etc. These factors may indirectly affect the patient's physiological state.

[0040] Psychological state indicators: Psychological factors such as stress level, emotional state, etc. may also affect urinary urgency symptoms.

[0041] By integrating these real-time and historical physiological parameter information, the system can generate user data to be monitored with identification information and provide patients with personalized treatment plans. These data not only help to assess the patient's current condition, but can also be used to track treatment effects and adjust treatment plans over the long term. In this way, the present invention can provide more accurate and effective treatment while improving the patient's treatment experience.

[0042] S102, processing the real-time physiological parameter information of the target user to generate user data to be monitored with identification information.

[0043] In one embodiment, the real-time physiological parameter information of the target user is processed to generate user attribute information, wherein the user attribute information includes the target items to be detected by the target user; feature extraction is performed on the real-time physiological parameter information of the target user to generate a target feature library; based on the target feature library, the user attribute information is processed to generate user data to be monitored with identification information, wherein the identification information is used to characterize the target items to be detected by the target user.

[0044] The patient's physiological parameter information is collected in real time, such as bladder pressure, urine flow rate, heart rate, blood pressure, etc. These parameters are crucial for evaluating urinary urgency symptoms. The collected real-time physiological parameter information is processed to generate user data to be monitored with identification information. These identification information clearly indicate the target items that need to be tested and paid attention to at present. Key data points are extracted from the real-time physiological parameter information to generate user attribute information, which is directly related to the patient's specific medical goals to be tested, such as the severity of urinary urgency symptoms.

[0045] The user attribute information is deeply analyzed to extract features that can characterize the patient's condition and build a target feature library. These features include urine flow patterns, specific patterns of pressure changes, etc. Among them, urine flow patterns include but are not limited to urine flow rate: refers to the amount of urine discharged per unit time, usually expressed in milliliters per second. The normal urine flow rate varies with age, gender, and urine volume; urine flow time: refers to the total time required to complete urination; urine flow curve: the change of urine flow speed over time is measured by a uroflowmeter, and the curve formed can reflect the state of urination function; maximum urine flow rate: the maximum value on the urine flow curve, which is a key indicator for evaluating urination disorders.

[0046] Specific patterns of pressure changes include, but are not limited to, bladder pressure measurement: using a cystometer to measure changes in bladder pressure during urine storage and urination, reflecting bladder compliance and emptying capacity; detrusor pressure: the contraction pressure of the detrusor during urination can reflect the bladder emptying efficiency; urethral closure pressure: the closure pressure of the urethral sphincter during urine storage, assessing the closure function of the urethra; pressure-flow rate relationship: the relationship between bladder pressure and urine flow rate, which can reveal dynamic changes during urination. In addition, urinary urgency may be accompanied by a rapid increase in bladder pressure and urine flow rate, reflecting an overactive bladder or hyperesthesia. Urgency may cause the urine flow curve to rise and fall rapidly, indicating that the patient has difficulty controlling urination. Urodynamic testing can comprehensively evaluate urine flow patterns and pressure changes, providing a basis for diagnosis and treatment.

[0047] The specific pattern of urine flow pattern and pressure change is crucial for diagnosing the cause of urinary urgency symptoms (such as overactive bladder, urethral stenosis, etc.). Based on the measurement results of these parameters, doctors can develop personalized treatment plans, such as drug therapy, biofeedback, electrical stimulation or surgical treatment. The user attribute information is further processed using the target feature library to enrich and refine the user data and ensure the integrity and accuracy of the data.

[0048] Combining the feature library processing results and user attribute information, the final user data to be monitored with identification information is generated. These data not only contain the specific values ​​of physiological parameters, but also all key information related to treatment and monitoring. Equipment integration and operation: The generated signal is sent to the target terminal device to guide the device to perform precise operations on the patient to maximize the treatment effect. The present invention not only improves the accuracy and personalization of treatment, but also provides a more efficient and comfortable treatment experience for patients with urgency symptoms through intelligent data processing and feature extraction. At the same time, this method also helps to reduce medical costs and improve the utilization efficiency of medical resources.

[0049] S103, obtaining a preset biological nerve stimulation signal generation model that matches the identification information.

[0050] In one implementation, the content of the identification information is clarified, and this information characterizes the urinary urgency symptom-related items to be detected by the target user, such as urine flow pattern, bladder pressure, etc., and a library containing a variety of biological neural stimulation signal generation models is established. These models are designed for different physiological parameters and symptoms. According to the identification information, the most appropriate biological neural stimulation signal generation model is matched from the preset model library. The matching process will involve corresponding algorithms, such as decision trees, random forests, gradient boosting machines, or machine learning algorithms such as neural networks, which are not limited in this application.

[0051] S104, processing the preset biological nerve stimulation signal generation model based on the historical physiological parameter signal of the target user to generate a target biological nerve stimulation signal generation model.

[0052] In one implementation, the historical physiological parameter information of the target user is analyzed to understand the long-term trend and characteristics of his symptoms. Combined with the user's historical data and real-time data, the preset model is adjusted individually to adapt to the physiological state of the specific user, and characteristic parameters such as urine flow pattern and pressure change are integrated into the model to ensure that the generated signal can be optimized for these key indicators. Before the model is actually applied, the effectiveness and safety of the model are verified through simulation or small-scale clinical trials. During the application of the model, the user's physiological response is monitored in real time, and feedback information is collected to dynamically adjust the model. The adjusted model is used to generate sacral nerve stimulation signals based on the user's real-time physiological parameters. According to the user's feedback and treatment effect, the parameters of the stimulation signal, such as pulse width, frequency, intensity, etc., are continuously optimized, and the generated biological nerve stimulation signal is applied to clinical treatment, and precise stimulation is implemented through the target terminal device.

[0053] All relevant data during the treatment process are recorded and analyzed in depth to further improve the accuracy of the model and the treatment effect, thereby ensuring that each patient receives personalized neurostimulation treatment, improving the treatment effect of urinary urgency symptoms, while reducing unnecessary stimulation and improving the patient's quality of life.

[0054] In another embodiment, the historical physiological parameter signals of the target user include training samples corresponding to the target items to be detected by the target user at present, and the historical physiological parameter signals of the target user are subjected to feature extraction to generate an original feature library, wherein the original feature library includes non-continuous variable data and continuous variable data. The physiological parameter signals of the target user at different time points are collected, and these signals correspond to the items related to the urgency symptoms to be detected at present. The collected signals are analyzed to extract features that can characterize the user's physiological state, such as peak urine flow rate, bladder pressure changes, etc. The extracted features are divided into non-continuous variable data (such as gender, disease type) and continuous variable data (such as age, urine flow rate, pressure value), and the original feature library is constructed.

[0055] The target user's historical physiological parameter signals are processed based on non-continuous variable data to generate an initial training set. The initial training set is processed based on continuous variable data to generate a target training set, wherein the target training set includes several reference intervals of the external anal sphincter potential signal amplitude. The historical physiological parameter signals are classified and grouped using the non-continuous variable data in the original feature library to generate an initial training set. The target training set is generated by combining the processing results of non-continuous and continuous variables. This data set will be used to establish the reference interval of the external anal sphincter potential signal. The reference interval of the external anal sphincter potential signal amplitude is determined using the target training set data. These intervals will serve as the basis for evaluating the patient's current state and generating stimulation signals. The target training set is used to train the biological neural stimulation signal generation model so that it can predict the optimal stimulation parameters based on the physiological parameter signals.

[0056] In another embodiment, the target training set is processed to generate multiple continuous variable data matching the identification information. Identifying and processing multiple key continuous variables that affect the amplitude of the external anal sphincter potential signal is an important part of achieving precision medical intervention. Urine flow rate is a key indicator for measuring urination efficiency. Analysis of the changing trend of urine flow rate, such as maximum urine flow rate, average urine flow rate, and urine flow time, can reveal the state of urination function; bladder pressure measurement provides dynamic information of the bladder during urine storage and urination, and monitoring changes in bladder pressure can help evaluate bladder compliance and emptying capacity; the electrical activity signal of the external anal sphincter reflects the tension and coordination of the sphincter. Analysis of the amplitude and pattern of these signals can understand the functional state of the sphincter; the coordination between the detrusor and the external anal sphincter is crucial to urination control. Analysis of the interaction between the two can identify coordination disorders.

[0057] Correlation analysis was performed on parameters such as urine flow rate, bladder pressure, and external anal sphincter potential to identify their interactions and dependencies. Time series analysis methods were applied to study the changing patterns of physiological parameters over time to predict the occurrence and intensity of urgency symptoms. Machine learning techniques, such as support vector machines, random forests, or neural networks, were used to model continuous variables to identify the key factors affecting the amplitude of the external anal sphincter potential signal.

[0058] Based on the preset function, multiple continuous variable data are processed to generate a target external anal sphincter potential signal amplitude reference interval, wherein the target external anal sphincter potential signal amplitude reference interval is a preset reference range that matches the target user; based on the target external anal sphincter potential signal amplitude reference interval, a target biological nerve stimulation signal generation model is generated. The preset function is applied to analyze the selected features to generate reference intervals for the target external anal sphincter potential signal amplitude. These intervals define normal and abnormal physiological states, ensuring that the generated reference intervals match the specific physiological characteristics and medical history of the target user to achieve personalized assessment. The generated reference intervals are used as input conditions to construct a biological nerve stimulation signal generation model and trigger parameter settings: first, the baseline value, contraction value, and trigger coefficient are set. Figure 4 As shown, the baseline value is the maximum potential amplitude in diastole, and the contraction value is the maximum contraction potential amplitude in systole; the trigger coefficient is the parameter for calculating the trigger threshold, which can be adjusted according to the trigger situation, and the initial setting is 50%. Trigger threshold: T = baseline value + trigger coefficient × (contraction value - baseline value). Stimulation parameter setting: The frequency of electrical stimulation is generally 14 Hz, the pulse width is 210 us, and the stimulation intensity is determined according to the motor response and sensory response during the operation. Generally, the stimulation intensity is set slightly lower than the threshold intensity of the motor response and sensory response. Adjustments are made according to the effect after surgery. Single trigger stimulation duration: 1 minute; the single stimulation time is subsequently adjusted according to the effect. The model can generate appropriate stimulation signals according to the patient's real-time physiological state. The present invention can provide patients with urinary urgency symptoms with a highly personalized and accurate treatment plan, optimize the generation of biological nerve stimulation signals, improve the treatment effect, and at the same time reduce unnecessary stimulation and improve the quality of life of patients.

[0059] S105, processing the physiological parameter information of the target user based on the target biological nerve stimulation signal generation model to generate a real-time external anal sphincter potential signal.

[0060] In one embodiment, the external anal sphincter potential signal includes the external anal sphincter potential signal amplitude, and the external anal sphincter potential signal amplitude includes the external anal sphincter diastolic target amplitude and the external anal sphincter contraction target amplitude. By repeatedly collecting the external anal sphincter diastolic and contraction electromyographic signals, the maximum potential amplitude in diastole and the maximum contraction potential amplitude in contraction are determined, and the trigger threshold is determined according to the maximum potential amplitude in diastole and the maximum contraction potential amplitude, and the threshold is between the maximum potential amplitude in diastole and the maximum contraction potential amplitude.

[0061] In another embodiment, the target training set is processed based on the target biological nerve stimulation signal generation model to generate a preset external anal sphincter potential signal data set, the preset external anal sphincter potential signal data set is processed to obtain stimulating features and correlation co-occurrence frequencies, the generated preset external anal sphincter potential signal data set is analyzed, stimulating features such as the amplitude, duration and change pattern of the potential signal are identified, the stimulating features and correlation co-occurrence frequencies are processed to generate correlation matrix information, and the correlation co-occurrence frequencies between stimulating features are calculated to identify their mutual relationships and occurrence patterns.

[0062] Based on the correlation matrix information, a prior knowledge graph is generated to characterize the external anal sphincter potential signal. The prior knowledge graph characterizing the external anal sphincter potential signal is constructed using the correlation matrix information. The graph provides an intuitive understanding of the relationship between signal features. The physiological parameter information of the target user is processed based on the prior knowledge graph to generate a real-time external anal sphincter potential signal. The rules and patterns in the knowledge graph are applied to generate a real-time external anal sphincter potential signal that matches the current physiological state of the target user. According to the real-time signal features and the prior knowledge graph, the parameters of the biological nerve stimulation signal generation model are adjusted to optimize the stimulation effect.

[0063] In another embodiment, the present invention further includes a calculation formula for calculating the correlation co-occurrence frequency, and the specific calculation formula is: ;in, Representation concept and Concept The number of co-occurrences at the report level, Representation concept The total number of occurrences, Representation concept Concept of appearance Frequency of occurrence:

[0064] In addition, the present invention also includes a calculation formula for calculating the correlation matrix, and the specific calculation formula is: ; where τ is the co-occurrence frequency threshold, if If it is greater than or equal to the threshold τ, the concept To concept There is a correlation, otherwise there is no correlation.

[0065] S106, processing the external anal sphincter potential signal amplitude based on a preset processing rule to generate a sacral nerve stimulation signal.

[0066] In one embodiment, the real-time external anal sphincter point signal is processed to generate a potential signal feature vector, the real-time external anal sphincter point signal is filtered and windowed, and the filtered signal is divided into multiple time windows for time-frequency analysis to obtain multiple frequency band signals, and the signal of each time window is Fourier transformed to extract signal components of different frequency bands.

[0067] The power calculation process is performed on multiple frequency band signals to obtain multiple power values ​​and calculate the power spectrum entropy and sample entropy of the real-time external anal sphincter point signal. The characteristic vector of the potential signal is obtained based on the power spectrum entropy, sample entropy and multiple power values. The power spectrum entropy is calculated using the power value, which is an indicator that quantifies the complexity of the signal frequency distribution. The characteristic vector of the potential signal is constructed by combining the power spectrum entropy, sample entropy and multiple power values. This vector contains the key features of the signal and can be used for pattern recognition and classification. The characteristic vector is standardized to eliminate the dimensional influence between different features. The collected signal is preprocessed as necessary, including filtering, denoising, etc., to improve the signal quality, extract the key features of the potential signal, such as amplitude, frequency, duration, etc., and generate the characteristic vector of the potential signal.

[0068] The potential signal feature vector is processed based on the target biological nerve stimulation signal generation model to generate a classification result, wherein the classification result is set based on the external anal sphincter potential signal amplitude. According to the analysis result of the model, a classification based on the external anal sphincter potential signal amplitude is generated. The classification may include "normal", "abnormal" or specific physiological state identification. One or more thresholds are set to determine whether the potential signal amplitude exceeds the normal range. The threshold is dynamically set based on the real-time physiological parameter information of the target user.

[0069] If the classification result is that the amplitude of the external anal sphincter potential signal is greater than the preset threshold, a sacral nerve stimulation signal is generated. The preset threshold is set based on the real-time physiological parameter information of the target user. When the patient has an attack of urinary urgency, the anus is actively contracted, and the amplitude of the external anal sphincter potential increases. The receiving electrode receives the signal and transmits it to the electromyography monitoring module. After filtering, the potential amplitude value is extracted in real time and then transmitted to the control module. The control module determines that the transmitted potential amplitude is greater than the set trigger threshold, and starts the pulse generation module to emit a short electric pulse to act on the sacral nerve root to suppress the attack of urinary urgency.

[0070] In another embodiment, in order to reduce the problem of the prior art directly setting the target voltage when starting the electrical stimulation device, the patient may feel strong stimulation without any warning, thereby affecting the patient's comfort. When the present solution receives the sacral nerve stimulation signal, a single stimulation will consist of multiple pulse waveforms with a fixed frequency, wherein the voltage of the first pulse waveform in the first half rises rapidly from 0 to the patient's target voltage value. In the subsequent pulse waveforms, all are square wave pulses of the target voltage. The present invention can effectively improve the patient's adaptability to voltage and effectively alleviate the patient's discomfort caused by electric shock every time the stimulator starts pulse stimulation.

[0071] In addition, the present invention also includes a calculation formula for generating the first one each time it is started, which is specifically as follows:

[0072] .

[0073] A is the target voltage value of the pulse, and B is the rise rate constant, which defaults to 100. The speed of voltage rise can be adjusted by changing the value of B.

[0074] S107: Send the sacral nerve stimulation signal to a target terminal device, so that the target terminal device can operate the target user.

[0075] In one embodiment, the present invention can control the timing of the release of sacral nerve electric pulses by actively contracting the external anal sphincter according to the patient's urinary urgency symptoms, thereby achieving true "stimulation on demand" and avoiding the discomfort caused by continuous stimulation. At the same time, it can reduce power consumption, extend the equipment life cycle, reduce the economic burden, improve the treatment experience, reduce the medical economic burden, and has a high medical utilization value.

[0076] In the present application, the server obtains the historical physiological parameter information and the real-time physiological parameter information of the target user; processes the real-time physiological parameter information of the target user to generate user attribute information, wherein the user attribute information includes the target items to be detected by the target user; performs feature extraction on the real-time physiological parameter information of the target user to generate a target feature library; processes the user attribute information based on the target feature library to generate user data to be monitored with identification information, wherein the identification information is used to characterize the target items to be detected by the target user at present; obtains a preset biological neural stimulation signal generation model matching the identification information; performs feature extraction on the historical physiological parameter signals of the target user to generate an original feature library, wherein the original feature library includes non-continuous variable data and continuous variable data; processes the historical physiological parameter signals of the target user based on the non-continuous variable data to generate an initial training set; processes the initial training set based on the continuous variable data to generate a target training set, wherein the target training set includes several external anal sphincter potential signal amplitude reference intervals, and processes the target training set to generate multiple continuous variable data matching the identification information.

[0077] Based on a preset function, multiple continuous variable data are processed to generate a target external anal sphincter potential signal amplitude reference interval, wherein the target external anal sphincter potential signal amplitude reference interval is a preset reference range that matches the target user; based on the target external anal sphincter potential signal amplitude reference interval, a target biological nerve stimulation signal generation model is generated, wherein the historical physiological parameter signal of the target user includes a training sample corresponding to the target item to be detected by the target user; based on the target biological nerve stimulation signal generation model, the target training set is processed to generate a preset external anal sphincter potential signal data set; the preset external anal sphincter potential signal data set is processed to obtain irritation characteristics and correlation co-occurrence frequencies; the irritation characteristics and correlation co-occurrence frequencies are processed to generate correlation matrix information; the method includes a calculation formula for calculating the correlation co-occurrence frequency, and the calculation formula is: ;in, Representation concept and Concept The number of co-occurrences at the report level, Representation concept The total number of occurrences, Representation concept Concept of appearance Frequency of occurrence: The method includes a calculation formula for calculating the correlation matrix, which is: ; where τ is the co-occurrence frequency threshold, if If it is greater than or equal to the threshold τ, the concept To concept There is a correlation, otherwise there is no correlation.

[0078] A priori knowledge graph is generated based on the correlation matrix information to characterize the external anal sphincter potential signal; based on the prior knowledge graph, the physiological parameter information of the target user is processed to generate a real-time external anal sphincter potential signal, wherein the external anal sphincter potential signal includes the external anal sphincter potential signal amplitude, and the external anal sphincter potential signal amplitude includes the external anal sphincter diastolic target amplitude and the external anal sphincter contraction target amplitude; the real-time external anal sphincter point signal is processed to generate a potential signal feature vector; based on the target biological nerve stimulation signal generation model, the potential signal feature vector is processed to generate a classification result, wherein the classification result is set based on the external anal sphincter potential signal amplitude; if the classification result is that the external anal sphincter potential signal amplitude is greater than a preset threshold, a sacral nerve stimulation signal is generated, wherein the preset threshold is set based on the real-time physiological parameter information of the target user; the sacral nerve stimulation signal is sent to the target terminal device so that the target terminal device can operate the target user. The present invention can control the timing of the release of sacral nerve electric pulses by actively contracting the external anal sphincter according to the patient's urinary urgency symptoms, thereby achieving true "stimulation on demand" and avoiding the discomfort caused by continuous stimulation.

[0079] In one embodiment, if Figure 2 As shown, the present application also provides a control device for sacral nerve electrical stimulation, comprising:

[0080] The acquisition module 201 is used to acquire the historical physiological parameter information and the real-time physiological parameter information of the target user; and acquire a preset biological nerve stimulation signal generation model that matches the identification information;

[0081] The processing module 202 is used to process the real-time physiological parameter information of the target user and generate the user data to be monitored with identification information, wherein the identification information is used to characterize the target item to be detected by the target user at present; based on the historical physiological parameter signal of the target user, the preset biological nerve stimulation signal generation model is processed to generate a target biological nerve stimulation signal generation model, wherein the historical physiological parameter signal of the target user includes a training sample corresponding to the target item to be detected by the target user at present; based on the target biological nerve stimulation signal generation model, the physiological parameter information of the target user is processed to generate a real-time external anal sphincter potential signal, wherein the external anal sphincter potential signal includes an external anal sphincter potential signal amplitude, and the external anal sphincter potential signal amplitude includes an external anal sphincter diastolic target amplitude and an external anal sphincter contraction target amplitude; based on the preset processing rules, the external anal sphincter potential signal amplitude is processed to generate a sacral nerve stimulation signal, wherein the preset threshold is set based on the real-time physiological parameter information of the target user;

[0082] The sending module 203 is used to send the sacral nerve stimulation signal to a target terminal device so that the target terminal device can operate the target user.

[0083] In another embodiment of the present application, the processing module 202 is configured to process the preset biological neural stimulation signal generation model based on the historical physiological parameter signal of the target user to generate a target biological neural stimulation signal generation model, including: extracting features from the historical physiological parameter signal of the target user to generate an original feature library, wherein the original feature library includes non-continuous variable data and continuous variable data; processing the historical physiological parameter signal of the target user based on the non-continuous variable data to generate an initial training set; processing the initial training set based on the continuous variable data to generate a target training set, wherein the target training set includes several external anal sphincter potential signal amplitude reference intervals.

[0084] In another embodiment of the present application, the processing module 202 is configured to process the preset biological neural stimulation signal generation model based on the historical physiological parameter signal of the target user to generate a target biological neural stimulation signal generation model, and also includes: processing the target training set to generate multiple continuous variable data matching the identification information; processing the multiple continuous variable data based on a preset function to generate a target external anal sphincter potential signal amplitude reference interval, wherein the target external anal sphincter potential signal amplitude reference interval is a preset reference range matching the target user; generating a target biological neural stimulation signal generation model based on the target external anal sphincter potential signal amplitude reference interval.

[0085] In another embodiment of the present application, the processing module 202 is configured to process the real-time physiological parameter information of the target user to generate user data to be monitored with identification information, including: processing the real-time physiological parameter information of the target user to generate user attribute information, wherein the user attribute information includes the target items to be detected by the target user; performing feature extraction on the real-time physiological parameter information of the target user to generate a target feature library; processing the user attribute information based on the target feature library to generate user data to be monitored with identification information.

[0086] In another embodiment of the present application, the processing module 202 is configured to process the physiological parameter information of the target user based on the target biological nerve stimulation signal generation model to generate a real-time external anal sphincter potential signal, including: processing the target training set based on the target biological nerve stimulation signal generation model to generate a preset external anal sphincter potential signal data set; processing the preset external anal sphincter potential signal data set to obtain irritation characteristics and correlation co-occurrence frequencies; processing the irritation characteristics and the correlation co-occurrence frequencies to generate correlation matrix information; generating a priori knowledge graph for characterizing the external anal sphincter potential signal based on the correlation matrix information; processing the physiological parameter information of the target user based on the prior knowledge graph to generate a real-time external anal sphincter potential signal.

[0087] In another embodiment of the present application, the processing module 202 is configured to process the stimulant feature and the correlation co-occurrence frequency to generate correlation matrix information, including: the method includes a calculation formula for calculating the correlation co-occurrence frequency, and the calculation formula is: ;in, Representation concept and Concept The number of co-occurrences at the report level, Representation concept The total number of occurrences, Representation concept Concept of appearance Frequency of occurrence: The method includes a calculation formula for calculating a correlation matrix, which is: ; where τ is the co-occurrence frequency threshold, if If it is greater than or equal to the threshold τ, the concept To concept There is a correlation, otherwise there is no correlation.

[0088] In another embodiment of the present application, the processing module 202 is configured to process the external anal sphincter potential signal amplitude based on preset processing rules to generate a sacral nerve stimulation signal, including: processing the real-time external anal sphincter point signal to generate a potential signal feature vector; processing the potential signal feature vector based on the target biological nerve stimulation signal generation model to generate a classification result, wherein the classification result is set based on the external anal sphincter potential signal amplitude; if the classification result is that the external anal sphincter potential signal amplitude is greater than a preset threshold, a sacral nerve stimulation signal is generated.

[0089] The present application embodiment provides an electronic device, such as Figure 3As shown, the electronic device 3 includes a first processor 300, a memory 301, a bus 302 and a communication interface 303, wherein the first processor 300, the communication interface 303 and the memory 301 are connected via the bus 302; the memory 301 stores a computer program that can be run on the first processor 300, and when the first processor 300 runs the computer program, the control method for electrical stimulation of the sacral nerve provided in any of the aforementioned embodiments of the present application is executed.

[0090] The memory 301 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 303 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0091] The bus 302 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 301 is used to store a program, and the first processor 300 executes the program after receiving an execution instruction. The control method for sacral nerve electrical stimulation disclosed in any implementation of the embodiment of the present application may be applied to the first processor 300, or implemented by the first processor 300.

[0092] The first processor 300 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the first processor 300. The above-mentioned first processor 300 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a readily available programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be embodied as a hardware decoding processor to execute, or a combination of hardware and software modules in the decoding processor to execute. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 301, and the first processor 300 reads the information in the memory 301 and completes the steps of the above method in combination with its hardware.

[0093] The electronic device provided in the above-mentioned embodiments of the present application and the control method for sacral nerve electrical stimulation provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0094] The present application embodiment provides a computer-readable storage medium, such as Figure 4 As shown, the computer-readable storage medium 401 stores a computer program, and when the computer program is read and executed by the second processor 402, the control method for sacral nerve electrical stimulation as described above is implemented.

[0095] The technical solution of the embodiment of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling an electronic device (which may be an air conditioner, a refrigeration device, a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the method described in the embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

[0096] The computer-readable storage medium provided in the above-mentioned embodiments of the present application and the control method of sacral nerve electrical stimulation provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0097] An embodiment of the present application provides a computer program product, including a computer program, wherein the computer program is executed by a third processor to implement the method described above.

[0098] The computer program product provided in the above-mentioned embodiments of the present application and the control method of sacral nerve electrical stimulation provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0099] It should be noted that, in this application, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or still includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0100] Each embodiment in the present application is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the control method, electronic device, electronic device, and readable storage medium embodiment for evaluating sacral nerve electrical stimulation, since they are basically similar to the above-mentioned embodiment of the control method for sacral nerve electrical stimulation, the description is relatively simple, and the relevant parts can be referred to the partial description of the embodiment of the control method for sacral nerve electrical stimulation.

[0101] Although the present application is disclosed as above, the present application is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present application. Therefore, the protection scope of the present application shall be subject to the scope defined by the claims.

Claims

1. A control method for sacral nerve electrical stimulation, characterized in that: include: Acquire historical physiological parameter information and real-time physiological parameter information of the target user; Processing the real-time physiological parameter information of the target user to generate the user data to be monitored with identification information, wherein the identification information is used to characterize the target item to be detected by the target user at present; Acquire a preset biological nerve stimulation signal generation model that matches the identification information; Processing the preset biological nerve stimulation signal generation model based on the historical physiological parameter signal of the target user to generate a target biological nerve stimulation signal generation model, wherein the historical physiological parameter signal of the target user includes a training sample corresponding to the target item to be detected by the target user; Processing the physiological parameter information of the target user based on the target biological nerve stimulation signal generation model to generate a real-time external anal sphincter potential signal, wherein the external anal sphincter potential signal includes an external anal sphincter potential signal amplitude, and the external anal sphincter potential signal amplitude includes an external anal sphincter diastolic target amplitude and an external anal sphincter contraction target amplitude; The external anal sphincter potential signal amplitude is processed based on a preset processing rule to generate a sacral nerve stimulation signal, wherein the preset threshold is set based on the real-time physiological parameter information of the target user.

2. The method according to claim 1, characterized in that The preset biological nerve stimulation signal generation model is processed based on the historical physiological parameter signal of the target user to generate a target biological nerve stimulation signal generation model, including: Extracting features from the historical physiological parameter signals of the target user to generate an original feature library, wherein the original feature library includes discontinuous variable data and continuous variable data; Processing the historical physiological parameter signals of the target user based on the non-continuous variable data to generate an initial training set; The initial training set is processed based on the continuous variable data to generate a target training set, wherein the target training set includes a number of external anal sphincter potential signal amplitude reference intervals.

3. The method according to claim 2, characterized in that The preset biological nerve stimulation signal generation model is processed based on the historical physiological parameter signal of the target user to generate a target biological nerve stimulation signal generation model, and further includes: Processing the target training set to generate multiple continuous variable data matching the identification information; Processing the multiple continuous variable data based on a preset function to generate a target external anal sphincter potential signal amplitude reference interval, wherein the target external anal sphincter potential signal amplitude reference interval is a preset reference range that matches a target user; A target biological nerve stimulation signal generation model is generated based on the target external anal sphincter potential signal amplitude reference interval.

4. The method according to claim 1, characterized in that Processing the real-time physiological parameter information of the target user to generate user data to be monitored with identification information, including: Processing the real-time physiological parameter information of the target user to generate user attribute information, wherein the user attribute information includes the target item to be detected by the target user; Extracting features from the real-time physiological parameter information of the target user to generate a target feature library; The user attribute information is processed based on the target feature library to generate user data to be monitored with identification information.

5. The method according to claim 2, characterized in that The target user's physiological parameter information is processed based on the target biological nerve stimulation signal generation model to generate a real-time external anal sphincter potential signal, including: Processing the target training set based on the target biological nerve stimulation signal generation model to generate a preset external anal sphincter potential signal data set; Processing the preset external anal sphincter potential signal data set to obtain irritation features and correlation co-occurrence frequencies; Processing the stimulus features and the correlation co-occurrence frequency to generate correlation matrix information; Generate a priori knowledge graph for characterizing anal external sphincter potential signals based on the correlation matrix information; The physiological parameter information of the target user is processed based on the prior knowledge graph to generate a real-time external anal sphincter potential signal.

6. The method according to claim 5, characterized in that Processing the stimulus features and the correlation co-occurrence frequency to generate correlation matrix information includes: The method includes a calculation formula for calculating the correlation co-occurrence frequency, and the calculation formula is: ； in, Representation concept and Concept The number of co-occurrences at the report level, Representation concept The total number of occurrences, Representation concept Concept of appearance Frequency of occurrence: The method includes a calculation formula for calculating a correlation matrix, which is: ； Among them, τ is the co-occurrence frequency threshold, if If it is greater than or equal to the threshold τ, the concept To concept There is a correlation, otherwise there is no correlation.

7. The method according to claim 1, characterized in that The external anal sphincter potential signal amplitude is processed based on a preset processing rule to generate a sacral nerve stimulation signal, including: Processing the real-time external anal sphincter point signal to generate a potential signal feature vector; Processing the potential signal feature vector based on the target biological nerve stimulation signal generation model to generate a classification result, wherein the classification result is set based on the external anal sphincter potential signal amplitude; If the classification result is that the amplitude of the external anal sphincter potential signal is greater than a preset threshold, a sacral nerve stimulation signal is generated.

8. A control device for sacral nerve electrical stimulation, characterized in that: The device comprises: An acquisition module is used to acquire historical physiological parameter information of a target user and real-time physiological parameter information of a target user; and to acquire a preset biological nerve stimulation signal generation model that matches the identification information; A processing module, used to process the real-time physiological parameter information of the target user, generate user data to be monitored with identification information, wherein the identification information is used to characterize the target item to be detected by the target user at present; process the preset biological nerve stimulation signal generation model based on the historical physiological parameter signal of the target user, and generate a target biological nerve stimulation signal generation model, wherein the historical physiological parameter signal of the target user includes a training sample corresponding to the target item to be detected by the target user at present; process the physiological parameter information of the target user based on the target biological nerve stimulation signal generation model, and generate a real-time external anal sphincter potential signal, wherein the external anal sphincter potential signal includes an external anal sphincter potential signal amplitude, and the external anal sphincter potential signal amplitude includes an external anal sphincter diastolic target amplitude and an external anal sphincter contraction target amplitude; process the external anal sphincter potential signal amplitude based on a preset processing rule to generate a sacral nerve stimulation signal, wherein the preset threshold is set based on the real-time physiological parameter information of the target user; The sending module is used to send the sacral nerve stimulation signal to a target terminal device so that the target terminal device can operate the target user.

9. An electronic device, characterized in that: include: a first processor; and a memory for storing executable instructions of the first processor; Wherein, the first processor is configured to execute the control method of sacral nerve electrical stimulation according to any one of claims 1 to 7 by executing the executable instructions.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the second processor, the control method for sacral nerve electrical stimulation according to any one of claims 1 to 7 is implemented.

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