Anorectal disease auxiliary treatment monitoring system and method based on Lingshen extract

Abstract

The invention relates to the technical field of adjuvant therapy monitoring, in particular to an anorectal disease adjuvant therapy monitoring system and method based on a radix scrophulariae extract. The method comprises two stages of system initialization and adjuvant therapy monitoring, in the initialization stage, initialization setting is completed, and a dynamic monitoring code is generated to guarantee data transmission security; in the auxiliary treatment stage, baseline data are collected, abnormal values are removed, then personalized baselines are generated, the drug dosage and the release rate are adjusted according to the baseline data, meanwhile, pressure, temperature, blood flow and electrophysiological data are monitored in real time, key indexes are calculated, monitoring labels are generated, the physiological indexes are standardized, the treatment effect is comprehensively evaluated, and classification is conducted. The dynamic trend is analyzed by adopting a polynomial fitting method, an evaluation result is generated, the drug release rate and dosage are dynamically optimized in combination with real-time monitoring data and patient feedback, and fine treatment is further performed by adopting a feedback adjustment mechanism. According to the invention, efficient auxiliary treatment and intelligent monitoring of anorectal diseases are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of auxiliary treatment monitoring, and in particular to an auxiliary treatment monitoring system and method for anorectal diseases based on scutellaria baicalensis extract. Background Art

[0002] Anorectal diseases are common diseases with high incidence worldwide, seriously affecting the quality of life of patients. They mainly include various types such as hemorrhoids, anal fissures and perianal abscesses. Traditional treatments such as surgery or drug therapy often lack personalized plans, making it difficult to monitor the patient's treatment effects in real time and dynamically adjust treatment strategies. In recent years, with the development of precision medicine and biosensor technology, non-invasive physiological monitoring methods have made it possible to optimize treatment plans.

[0003] A Chinese invention patent with publication number CN106455990B discloses a percutaneous treatment planning and treatment monitoring system and method. In one example, a first image of a patient captured before a surgical operation is received, a treatment plan is generated based on the first image, the treatment plan including information related to one or more surgical instruments, a second image of the patient captured after the start of the surgical operation is received, the treatment plan is dynamically adjusted based on the posture of any one of the one or more surgical instruments identified from the second image, a third image of the patient captured after a lesion is treated by at least one surgical instrument based on the adjusted treatment plan is received, whether further treatment of the lesion is needed is determined based on the third image, and when it is determined that further treatment is needed, an updated treatment plan is dynamically generated based on the third image.

[0004] However, most existing systems are limited to the monitoring of a single physiological parameter, making it difficult to achieve multi-dimensional comprehensive evaluation, resulting in difficulty in fully quantifying the therapeutic effect. As a new type of natural medicine, Jingshenmai extract has significant effects in anti-inflammation, promoting blood circulation and repairing tissues, but its actual efficacy in the treatment of anorectal diseases lacks a scientific quantitative evaluation system. In addition, there are significant individual differences among patients. How to accurately control drug dosage and release rate based on real-time physiological data has become an important challenge affecting the therapeutic effect. Summary of the invention

[0005] The purpose of the present invention is to address the problems existing in the background technology and to propose an auxiliary treatment monitoring system and method for anorectal diseases based on Sesamum indica extract.

[0006] The technical solution of the present invention is a method for monitoring anorectal diseases by auxiliary treatment based on jingshenmai extract, comprising the following specific implementation steps: S1. In the initialization phase, basic information of the patient is collected, monitoring equipment is configured and installed, and dynamic information transmission code and dynamic monitoring code are generated; S2. During the adjuvant treatment monitoring stage, before the patient receives Jingcanmai extract treatment, collect the patient's baseline physiological data,剔除异常值及噪声,标准化和归一化基线生理数据,自动生成患者个体化的生理数据基线; S3. Automatically adjust the release dose and rate according to the patient's individualized physiological data baseline; S4. During the drug release process, continuously monitor the patient's physiological indicators and generate monitoring labels for the patient's physiological indicators; S5. Based on the monitoring labels, verify the integrity of the patient's physiological indicators, and then based on the patient's physiological indicators, construct an evaluation model and analysis algorithm to quantitatively evaluate the effect of Jingcanmai extract adjuvant treatment and provide optimization suggestions; S6. Through the personalized treatment adjustment and feedback mechanism, combine the real-time treatment effect data and physiological indicators to dynamically adjust the drug release rate and dose; S7. After the personalized treatment adjustment and feedback, if the patient has not fully recovered or requires further intervention, continuous monitoring and adjustment will be carried out through the remote monitoring and medical intervention mechanism. Based on the monitoring labels, verify the integrity of the patient's physiological indicators, monitor and capture the change signals in each link of the treatment process and intervene, and provide real-time feedback.

[0007] Preferably, the patient's baseline physiological data includes pressure data, local temperature data of the anus and surrounding areas, blood circulation data of the anus and surrounding areas, and electrophysiological data of intestinal smooth muscle.

[0008] Preferably, the generation process of the monitoring label is as follows: S31. Select a random number r and calculate the information transmission factor F t =g r mod p, and make the information transmission factor F t public; Among them, p is a randomly selected large prime number; g is a generator of the group GF(p); S32. Calculate the monitoring label L m : ; Among them, data represents the binary string after concatenating the patient's physiological indicators {average pressure value , current effective temperature value , blood flow change rate ΔF, root mean square value R EMG , power spectral density PSD(f)} in sequence; H is a hash function; C tr represents the dynamic information transmission code, and the update mechanism of the dynamic information transmission code C tr is: if s = c + 1, then is an empty string; if 1 ≤ c < t + 1, then ; s represents the sth time period; c represents the update time period.

[0009] Preferably, the audit process for auditing the integrity of the patient's physiological indicators is as follows: S41. Calculate the first-order audit parameter P1: ; Among them, F t is the information transmission factor; C m Indicates dynamic monitoring code, ; S42. Calculate the second-order audit parameter P2: ; S43, if P1=P2, then the received patient physiological index { , , ΔF, R EMG , the integrity audit of PSD(f)} passed.

[0010] Preferably, the evaluation process for quantitatively evaluating the effect of Jingshenmai extract in adjuvant therapy is as follows: S51. Construct the comprehensive treatment effect index TEI, the formula is as follows: ; In the formula, P', T', ΔF', and PSD' respectively represent the key indicators of the standardized mean pressure value, current effective temperature value, blood flow change rate, root mean square value and power spectrum density; w1, w2, w3, w4 and w5 respectively represent the weight coefficients, w1+w2+w3+w4+w5=1; S52. By analyzing the time series trends of the comprehensive treatment effect index TEI and key physiological indicators, the dynamic changes of the treatment effect are evaluated through fitting models, and the polynomial fitting method is used to build a model: ; Where y(t) represents TEI, , , ΔF, R EMG and the values ​​of PSD(f) over time t; β0, β1, β2, …, β n represents the coefficient of the fitting model; n represents the order of the fitting model, which is determined according to the complexity of the indicator change; ε represents the random error, that is, the part of the fluctuation that cannot be explained by the model; S53. Based on the TEI value and trend analysis results, the treatment effect was divided into different levels, namely, significant improvement, partial improvement, and no improvement, using the following logical rules: Rule 1: Significant improvement, TEI>0.8 and the trend slope is significantly positive, that is: β1>0; Rule 2: Partial improvement, 0.5≤TEI≤0.8 or trend change is 0, that is: β1=0; Rule 3: No improvement, TEI < 0.5 and the trend is negative, that is: β1 < 0; S54. Generate a treatment effect report based on the evaluation results, including: Comprehensive evaluation: Display TEI value and corresponding grade; Indicator change trend: TEI, , , ΔF, R EMG As well as the time series graph and trend analysis results of PSD(f).

[0011] Preferably, the adjustment process of dynamically adjusting the drug release rate and dosage is as follows: S61. Optimize drug dosage and release strategy based on the results of treatment effect evaluation and set the dynamic drug release rate R adjust and dose D adjust , used to adjust drug output during treatment: ; ; Where R0 and D0 represent the initial drug release rate and dose, respectively; λ1, λ2, λ3 and λ4 represent weight coefficients, which are used to adjust the effect of each parameter on drug release; ΔP represents the difference between the current pressure value and the initial pressure value, reflecting the effect of treatment on the pressure change in the anorectal area. ; ΔT represents the difference between the current temperature value and the initial temperature value, reflecting the impact of temperature changes during treatment. ; S62, adjust the release rate R adjust When TEI is low, it means that the therapeutic effect is poor, and the drug release rate needs to be increased to enhance the therapeutic effect; if ΔP is large, it is caused by overtreatment, and the drug release rate needs to be reduced; S63. Adjust drug dosage adjust , the drug dosage is dynamically adjusted according to the treatment effect. When TEI increases, the drug dosage is reduced to avoid drug overdose; ΔT represents the degree of temperature change. If the temperature change is large, the drug dosage needs to be reduced; S64, by real-time monitoring of the drug release rate R during treatment adjust and dose D adjust , and automatically make feedback adjustments: ; ; Where, ΔD feedback and ΔR feedbackIndicates the feedback adjustment amount, which is used to update the drug dosage and release rate in real time; D previous and R previous They represent the drug dosage and release rate adjusted last time, respectively; k1 and k2 represent the adjustment coefficients, which control the sensitivity of the feedback mechanism; S65. According to the difference between the previous treatment adjustment result and the current treatment adjustment amount, the drug dosage and release rate are adjusted in real time to ensure the stability and safety of the treatment plan.

[0012] Preferably, the implementation process of monitoring and capturing the change signals of each link in the treatment process and intervening is as follows: S71, setting threshold T threshold : ; In the formula, represents the baseline threshold; η1 and η2 represent the adjustment coefficients set according to clinical trial data and individual differences, respectively; S72: When the pressure value or temperature value in the patient's physiological index exceeds the threshold value T threshold When a patient is detected, it is automatically identified as abnormal and notified to medical staff through an early warning mechanism. After the early warning is triggered, medical staff obtain detailed patient data and decide whether immediate intervention is needed. S73. Perform intervention adjustments based on treatment parameters and feedback, and use the following adjustment formula to update the treatment plan: ; ; Where D intervene and R intervene represents the drug dosage and release rate after remote intervention adjustment; D current and R current represents the current drug dosage and release rate; λ1, λ2, λ3 and λ4 represent adjustment coefficients respectively; S74. After each adjustment of the drug dosage or release rate, continue to track the treatment progress, monitor changes in physiological parameters, and update the treatment effect index TEI: Assuming that the change in treatment effect in each monitoring cycle is ΔTEI, the calculation formula is: ΔTEI=TEI current -TEI previous ; Where, TEI current Represents the current treatment effect index, which is based on the latest physiological data and treatment effect evaluation; TEI previous represents the treatment effect index of the previous monitoring period; S75. By continuously monitoring ΔTEI, it is automatically determined whether the treatment is gradually improving. If the treatment effect does not meet expectations, the treatment plan will be adjusted or the intervention frequency will be increased.

[0013] The technical solution of the present invention is a monitoring system for auxiliary treatment of anorectal diseases based on jingshenmai extract, which is used to execute the above-mentioned monitoring method for auxiliary treatment of anorectal diseases based on jingshenmai extract, comprising: The Jingshenmai extract drug processing module is responsible for preparing the Jingshenmai extract and injecting it into the patient's body according to personalized needs through an intelligent drug release device; A physiological monitoring module for detecting physiological data using a sensor array to capture the patient's physiological state; The data analysis and suggestion module is used to process the collected physiological data in real time and analyze the data in combination with the pharmacological characteristics of the Jingshenmai extract; Treatment feedback and suggestion module, which is used to provide personalized treatment feedback and adjustment suggestions based on monitoring data and treatment effects; The remote monitoring and intelligent push module is used to transmit the patient's real-time data and treatment progress to the medical team through the wireless communication network to achieve remote tracking and intervention.

[0014] Preferably, the sensor array includes non-invasive flexible pressure sensors, temperature sensors, blood flow sensors and bioelectric sensors.

[0015] Compared with the prior art, the above technical solution of the present invention has the following beneficial technical effects: The present invention designs a monitoring system and method for auxiliary treatment of anorectal diseases based on the extract of Semen Sinensis, which realizes the precise, intelligent and personalized management of auxiliary treatment of anorectal diseases, not only significantly improves the accuracy of treatment effect evaluation, but also enhances the patient's treatment experience through a real-time feedback mechanism, and has important clinical application value and technical innovation significance: (1) Comprehensive and accurate data collection: Using non-invasive flexible pressure sensors, temperature sensors, blood flow sensors and bioelectric sensors, the system monitors the patient's anal area pressure, local temperature and blood circulation, and electrical activity of intestinal smooth muscle in real time, covering the multidimensional characteristics of the patient's physiological state, helping to fully reflect the changes during the treatment process and avoid monitoring blind spots caused by a single indicator; (2) Personalized physiological baseline construction: Before treatment, the patient's personalized physiological data baseline is constructed by eliminating outliers and normalizing the data. This provides a reliable reference for accurate comparison of subsequent treatment effects and can adapt to individual differences among different patients. (3) Accurate and dynamic drug release mechanism: Automatically regulate the release process of the jingshenmai extract, combine the patient's personalized needs and real-time physiological data, dynamically adjust the drug release rate and dosage to ensure the optimization of the therapeutic effect, while avoiding drug waste or side effects caused by overdose on patients; (4) Real-time dynamic monitoring and label generation and verification: By dynamically monitoring the patient's physiological data and combining the label generation mechanism to generate monitoring labels, the integrity and security of data transmission are ensured. Through dynamic information transmission code and hash function verification, the integrity and credibility of the patient's physiological data are ensured, effectively preventing the loss or tampering of data during transmission from affecting treatment decisions. (5) Intelligent treatment effect evaluation and optimization: An evaluation model based on the comprehensive treatment effect index (TEI) was constructed, and the time series trend of key physiological indicators was analyzed by combining the polynomial fitting method. This model can quantify the treatment effect in real time, provide scientific and reasonable treatment level evaluation (significant improvement, partial improvement, no improvement), and effectively guide subsequent treatment adjustments; (6) Dynamic feedback control mechanism: Based on real-time monitoring of physiological data and evaluation results, the drug release rate and dosage are dynamically adjusted, and a closed-loop feedback mechanism is constructed, so that the treatment plan can be flexibly adjusted according to changes in the patient's condition, further improving the personalization and accuracy of the treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a system architecture diagram of an anorectal disease auxiliary treatment monitoring system based on the Jingshenmai extract proposed by the present invention; Figure 2 This is a flow chart of a method for auxiliary treatment and monitoring of anorectal diseases based on Sesamum indica extract proposed by the present invention. DETAILED DESCRIPTION

[0017] Embodiment 1, as Figure 1 As shown, the present invention proposes an auxiliary treatment monitoring system for anorectal diseases based on Jingshenmai extract, including: Jingshenmai extract drug processing module, physiological monitoring module, data analysis and suggestion module, treatment feedback and suggestion module and remote monitoring and intelligent push module.

[0018] The Jingshenmai extract drug processing module is responsible for preparing the Jingshenmai extract and injecting it into the patient's body according to personalized needs through an intelligent drug release device (including but not limited to an intelligent drug pump with adjustable dosage); The physiological monitoring module detects physiological data using a sensor array (including but not limited to bioelectric sensors, pressure sensors, sensing mucosal monitoring devices, etc.) to capture the patient's physiological state, including but not limited to body temperature, anal pressure, blood circulation, and intestinal activity-related physiological data; The data analysis and recommendation module performs real-time processing on the collected physiological data and conducts data analysis in combination with the pharmacological characteristics of the Jingcanmai extract; The treatment feedback and recommendation module provides personalized treatment feedback and adjustment recommendations based on the monitoring data and treatment effects; The remote monitoring and intelligent push module transmits the patient's real-time data and treatment progress to the medical team through a wireless communication network (including but not limited to Wi-Fi, Bluetooth, 5G) to achieve remote tracking and intervention.

[0019] Example 2, as Figure 2 shown, a method for monitoring the adjuvant treatment of anorectal diseases based on the Jingcanmai extract proposed by the present invention is applied to a system for monitoring the adjuvant treatment of anorectal diseases based on the Jingcanmai extract proposed in Example 1, and its specific implementation steps are as follows: System initialization: S1. Collection of patient basic information: Collect the patient's basic information, including but not limited to age, gender, medical history, types of anorectal diseases (including but not limited to hemorrhoids, anal fissure, perianal abscess) and previous treatment records, and enter the data into the patient database of the system, and then generate a unique patient identification code.

[0020] S2. Configuration and installation of monitoring devices: Install the non-invasive flexible pressure sensor on the patient's cushion or wearable device to monitor the pressure distribution and defecation activities in the anal area; Attach the temperature sensor and blood flow sensor to the external skin of the patient's buttocks to monitor local blood circulation and temperature changes; Install the bioelectric sensor on the patient's lower abdomen or use a portable adhesive electrode to capture the electrophysiological activities of the intestinal smooth muscle.

[0021] S3. Set the dynamic monitoring code, and the generation process is as follows: S31. Randomly select a large prime number p and a dynamic information transmission code C tr , and calculate the dynamic monitoring code C m : ; where g is the generator of the group GF(p); C m represents the dynamic monitoring code; c represents the update time period; S32. The update mechanism of the dynamic information transmission code C tr is as follows: If s = c + 1, then is an empty string; If 1 ≤ c < t + 1, then ; where s represents the s-th time period.

[0022] Adjuvant therapy monitoring phase: S1. Before the patient receives Jingshenmai extract treatment, the physiological monitoring module collects the patient's baseline physiological data, including: Pressure data: pressure distribution in the anal area under normal resting conditions; Temperature and blood flow data: local temperature and blood circulation of the anus and surrounding areas; Electrophysiological data: electrical signal intensity and frequency of intestinal smooth muscle; After that, outliers and noise are eliminated, various data are standardized and normalized, and the patient's individualized physiological data baseline is automatically generated to provide a reference for subsequent comparison of treatment effects.

[0023] S2. The Jingshenmai extract drug processing module precisely administers the drug through an intelligent drug release device. The release dose and rate are automatically adjusted by the Jingshenmai extract drug processing module according to the patient's condition and baseline data. The drug administration process is as follows: ; ; Among them, Q t It represents the amount of drug released at a certain time t; D represents the target dose of a single drug release, which is determined by the individual needs of the patient, and the initial value is set according to the patient's weight and condition; f(t) represents the release time weight function (unitless), which is used to adjust the dose distribution within the release period; k is the release attenuation coefficient, which controls the rate of decrease; e represents a natural constant.

[0024] S3. During the drug release process, the physiological monitoring module monitors the patient's physiological indicators in real time: Pressure changes: The pressure data around the anus is collected in real time through a non-invasive pressure sensor (installed on the surface of the seat cushion or wearable device), with a sampling frequency of f s (Unit: Hz), the pressure value of a single sample is P (Unit: Pa), and the average pressure value is calculated for the pressure data of N consecutive samples : ; Where P i represents the pressure value of the i-th sampling; Blood flow and temperature changes: The temperature sensor collects the patient's perianal skin temperature. The temperature value of the i-th sampling is T i (Unit: °C), in order to eliminate fluctuations in sampling, the time-weighted average is used to calculate the current effective temperature value : ; In the formula, w i represents the time weight. In this embodiment, w i=i, giving higher weight to the nearest sampling point; The blood flow sensor monitors the blood flow intensity in the anal area in units of blood flow change (mL / min), recorded as F i , in order to evaluate the overall improvement of microcirculation, the change rate of blood flow intensity ΔF was calculated: ; In the formula, F current Indicates the blood flow at the current time; F baseline represents the baseline blood flow before treatment, estimated using the initial sampling value; Electrophysiological signals: Bioelectric sensors record the electrical activity signals of intestinal smooth muscle with a sampling frequency of f s (Unit: Hz), single sampling value is EMG i (Unit: μV), for the N signals collected, calculate their RMS value R EMG : ; Where, EMG i represents the electrical signal value of the i-th sampling; Spectral analysis: To evaluate the frequency characteristics of electrical signals, the power spectral density (PSD) of the signal is calculated using the Fast Fourier Transform (FFT) and the main frequency peaks f are selected. peak : ; In the formula, PSD(f) represents the power spectrum density at frequency f, that is, the energy of the signal at this frequency; f represents the frequency component of the signal (unit: Hz), which is the frequency point to be analyzed; represents the complex exponential function, which is used to extract the component of the signal at a specific frequency f; j represents the imaginary unit j 2 =-1; Then the patient's physiological indicators , , ΔF, R EMG , PSD(f)} generates monitoring labels, and the generation process is as follows: S31. Select a random number r and calculate the information transmission factor F t =g r mod p; Where p is a randomly selected large prime number; g is the generator of the group GF(p); S32, calculate monitoring label L m : ; Among them, data represents the patient's physiological indicators { , , ΔF, R EMG, PSD(f)} are concatenated in sequence; H is the hash function; Then {L m , , , ΔF, R EMG , PSD(f)} is transmitted to the data analysis and suggestion module and the remote monitoring and intelligent push module.

[0025] S4, data analysis and suggestion module based on the output of key physiological indicators {average pressure value , Current effective temperature value , blood flow change rate ΔF, root mean square value R EMG and PSD(f)}, construct an evaluation model and analysis algorithm, quantitatively evaluate the effect of Jingshenmai extract adjuvant therapy, and provide optimization suggestions. The specific implementation steps are as follows: S41. Audit received patient physiological indicators { , , ΔF, R EMG , PSD(f)} integrity, the audit process is as follows: S4101. Calculate the first-order audit parameter P1: ; Among them, F t is the information transmission factor; C m Indicates dynamic monitoring code, ; p is a randomly selected large prime number; g is the generator of the group GF(p); S4102. Calculate the second-order audit parameter P2: ; S4103, if P1=P2, then the received patient physiological index { , , ΔF, R EMG , PSD(f)} integrity audit passed; S42. In order to ensure the comparability of various monitoring indicators, all output data are first standardized and mapped to the range of [0, 1]. The standardization formula is as follows: ; In the formula, X i Represents the original value of the i-th sample (in this embodiment, , , ΔF, R EMG , the value of PSD(f) at a certain moment); min(X) and max(X) represent the minimum and maximum values ​​in the data set, which are extracted from historical data or patient baseline data, respectively; Represents the standardized value; S43. Construct the comprehensive treatment effect index TEI, the formula is as follows: ; In the formula, P', T', ΔF', and PSD' respectively represent the key indicators of the standardized mean pressure value, current effective temperature value, blood flow change rate, root mean square value and power spectrum density; w1, w2, w3, w4 and w5 respectively represent weight coefficients, reflecting the influence of each indicator on the treatment effect. The weight value can be automatically optimized through expert experience or data training, w1+w2+w3+w4+w5=1; S44. By analyzing the time series trends of the comprehensive treatment effect index TEI and key physiological indicators, the dynamic changes of the treatment effect are evaluated and the model is built using the polynomial fitting method: ; In the formula, y(t) represents an indicator (TEI, , , ΔF, R EMG , PSD(f)) with time t; β0, β1, β2, …, β n It represents the coefficient of the fitting model, which is estimated by the least squares method; n represents the order of the fitting model, which is determined according to the complexity of the indicator change; ε represents the random error, that is, the part of the fluctuation that cannot be explained by the model; S45. Based on the TEI value and trend analysis results, the treatment effect was divided into different levels (significant improvement, partial improvement, no improvement) using the following logical rules: Rule 1: Significant improvement, TEI>0.8 and the trend slope is significantly positive (i.e., β1>0); Rule 2: Partial improvement, 0.5≤TEI≤0.8 or trend change is 0 (i.e., β1=0); Rule 3: No improvement, TEI < 0.5 and the trend is negative (i.e., β1 < 0); S46. Combine the evaluation results and generate a detailed treatment effect report, including but not limited to: Comprehensive evaluation: Display TEI value and corresponding grade; Indicator change trend: various indicators (TEI, , , ΔF, R EMG , PSD(f)) time series diagram and trend analysis conclusion; S47. Transmit the evaluation results to the treatment feedback and suggestion module.

[0026] S5. The treatment feedback and suggestion module dynamically adjusts the drug release rate and dosage through a personalized treatment adjustment and feedback mechanism, combined with real-time treatment effect data, patient subjective feedback and physiological indicators. The specific implementation process is as follows: S51. According to the results of treatment effect evaluation, the drug dosage and release strategy are optimized through personalized treatment adjustment model, and a dynamic drug release rate R is set. adjust and dose D adjust , used to adjust drug output during treatment: ; ; Where R0 and D0 represent the initial drug release rate and dose, respectively, which are set based on the patient's baseline condition; λ1, λ2, λ3 and λ4 represent weight coefficients, which are used to adjust the effect of each parameter on drug release, usually optimized through historical data or clinical trials; ΔP represents the difference between the current pressure value and the initial pressure value, reflecting the effect of treatment on the pressure change in the anorectal area. ; ΔT represents the difference between the current temperature value and the initial temperature value, reflecting the impact of temperature changes during treatment. ; According to this: adjust the release rate R adjust , when TEI is low, it means that the treatment effect is poor, and the drug release rate needs to be increased to enhance the treatment effect. If ΔP is large, it may be caused by overtreatment, and the drug release rate needs to be appropriately reduced; Adjust drug dosage adjust , the drug dosage is dynamically adjusted according to the therapeutic effect. When TEI increases, the dosage can be appropriately reduced to avoid drug overdose, and ΔT reflects the degree of temperature change. If the temperature change is large, the drug dosage may need to be reduced; S52, by real-time monitoring of the drug release rate R during the treatment process adjust and dose D adjust , and automatically make feedback adjustments: ; ; Where, ΔD feedback and ΔR feedback Indicates the feedback adjustment amount, which is used to update the drug dosage and release rate in real time; D previous and R previous They represent the drug dosage and release rate adjusted last time, respectively; k1 and k2 represent the adjustment coefficients, which control the sensitivity of the feedback mechanism; Accordingly: Based on the difference between the previous treatment adjustment result and the current treatment adjustment amount, the drug dosage and release rate are adjusted in real time to ensure the stability and safety of the treatment plan and avoid adverse reactions or poor efficacy due to excessive or insufficient treatment.

[0027] S6. After personalized treatment adjustment and feedback, if the patient has not fully recovered or needs further intervention, continuous monitoring and adjustment will be carried out through remote monitoring and medical intervention mechanisms to monitor and capture change signals in each link of the treatment process, provide necessary intervention, and provide real-time feedback through remote monitoring and intelligent push modules to ensure that the patient's treatment progress and health status are in the best state. The specific implementation process is: S61. Audit received patient physiological indicators { , , ΔF, R EMG , PSD(f)} integrity, the audit process is as follows: S6101, calculate the first-order audit parameter P1: ; Among them, F t is the information transmission factor; C m Indicates dynamic monitoring code, ; S6102, calculate the second-order audit parameter P2: ; S6103, if P1=P2, then the received patient physiological index { , , ΔF, R EMG , PSD(f)} integrity audit passed; S62. Set the quality index Q of the transmitted data data To ensure the accuracy and timeliness of data: ; In the formula, κ1 and κ2 represent the influence weights of pressure value change and temperature value change on data quality respectively; It indicates the difference between the pressure value and the baseline pressure, reflecting the changes in the patient's physiological state; Indicates the difference between the temperature value and the reference temperature, reflecting possible abnormal temperature fluctuations during treatment; When Q data When it is lower than the set threshold TQ, there is noise or signal attenuation in the data transmission process, and compensation measures are automatically taken, including but not limited to increasing the sampling frequency and enhancing signal transmission; S63. Based on the transmitted patient physiological data, the intelligent algorithm is used for real-time analysis. When it is found that the patient's health indicators exceed the safety threshold, an early warning signal is automatically issued and corresponding medical intervention measures are taken. The early warning mechanism is based on the preset threshold T threshold And individual differences among patients: ; In the formula, represents the baseline threshold, which is set by the patient's initial data and treatment history; η1 and η2 represent adjustment coefficients set according to clinical trial data and individual differences, respectively; When the pressure value or temperature value in the patient's physiological index exceeds the threshold value T threshold When a patient is detected, it is automatically identified as abnormal and the medical staff is informed through the early warning mechanism. After the early warning is triggered, the medical staff can obtain detailed patient data through the remote monitoring and intelligent push module to decide whether immediate intervention is needed. S64. Make intervention adjustments based on treatment parameters and feedback, and use the following adjustment formula to update the treatment plan: ; ; Where D intervene and R intervene represents the drug dosage and release rate after remote intervention adjustment; D current and R current represents the current drug dosage and release rate; λ1, λ2, λ3 and λ4 represent adjustment coefficients respectively; S65. After each adjustment of the drug dosage or release rate, continue to track the treatment progress, monitor changes in physiological parameters, and update the treatment effect index TEI: Assuming that the change in treatment effect in each monitoring cycle is ΔTEI, the calculation formula is: ΔTEI=TEI current -TEI previous ; Where, TEI current Represents the current treatment effect index, which is based on the latest physiological data and treatment effect evaluation; TEI previous represents the treatment effect index of the previous monitoring period; Based on this: By continuously monitoring ΔTEI, it is automatically determined whether the treatment is gradually improving. If the treatment effect does not meet expectations, the treatment plan can be further adjusted or the intervention frequency can be increased.

[0028] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto, and various changes can be made within the knowledge scope of technicians in the relevant technical field without departing from the purpose of the present invention.

Claims

1. A method for monitoring anorectal disease adjuvant therapy based on Semen Sinensis extract, characterized in that: The specific implementation steps include the following: S1. In the initialization phase, basic information of the patient is collected, monitoring equipment is configured and installed, and dynamic information transmission code and dynamic monitoring code are generated; S2. In the auxiliary treatment monitoring stage, before the patient receives the Jingshenmai extract treatment, the patient's baseline physiological data is collected, abnormal values ​​and noise are eliminated, the baseline physiological data is standardized and normalized, and the patient's individualized physiological data baseline is automatically generated; S3, automatically adjust the release dose and rate according to the patient's individual physiological data baseline; S4. During the drug release process, monitor the patient's physiological indicators in real time and generate monitoring labels for the patient's physiological indicators; S5. Based on the monitoring labels, the integrity of the patient's physiological indicators is audited. Then, based on the patient's physiological indicators, an evaluation model and analysis algorithm are constructed to quantitatively evaluate the effect of adjuvant therapy with Jingshenmai extract and provide optimization suggestions; S6. Dynamically adjust drug release rate and dosage through personalized treatment adjustment and feedback mechanism, combined with real-time treatment effect data and physiological indicators; S7. After personalized treatment adjustment and feedback, if the patient has not fully recovered or needs further intervention, continuous monitoring and adjustment will be carried out through remote monitoring and medical intervention mechanisms. Based on monitoring tags, the integrity of the patient's physiological indicators will be audited, and the change signals of each link in the treatment process will be monitored and captured, intervention will be carried out, and real-time feedback will be provided.

2. A method for monitoring anorectal disease adjuvant therapy based on Semen Sinensis extract according to claim 1, characterized in that: The patient's baseline physiological data included pressure data, local temperature data of the anus and surrounding areas, blood circulation data of the anus and surrounding areas, and electrophysiological data of intestinal smooth muscle.

3. A method for monitoring anorectal disease adjuvant therapy based on Semen Sinensis extract according to claim 1, characterized in that: The generation process of monitoring tags is as follows: S31. Select a random number r and calculate the information transmission factor F t =g r mod p and factor the information F t public; Where p is a randomly selected large prime number; g is the generator of the group GF(p); S32, calculate monitoring label L m : ； Among them, data represents the physiological indicators of the patient {average pressure value , current effective temperature value , blood flow change rate ΔF, root mean square value R EMG , power spectral density PSD(f)} is the binary string after cascading in sequence; H is the hash function; C tr represents the dynamic information transmission code, and the dynamic information transmission code C tr update mechanism is: if s = c + 1, then is an empty string; if 1 ≤ c < t + 1, then ; s represents the s-th time period; c represents the update time period.

4. The method for monitoring anorectal disease adjuvant therapy based on the extract of Sesamum indica according to claim 1, characterized in that: The audit process for checking the integrity of the patient's physiological indicators is as follows: S41. Calculate the first-order audit parameter P1: ; Among them, F t is the information transmission factor; C m Indicates dynamic monitoring code, ; p is a randomly selected large prime number; g is the generator of the group GF(p); S42. Calculate the second-order audit parameter P2: ; S43, if P1=P2, then the received patient physiological index { , , ΔF, R EMG , the integrity audit of PSD(f)} passed.

5. The method for monitoring anorectal disease adjuvant therapy based on the extract of Sesamum indica according to claim 1, characterized in that: The evaluation process for quantitatively evaluating the effect of Jingshenmai extract as an adjuvant therapy is as follows: S51. Construct the comprehensive treatment effect index TEI, the formula is as follows: ； In the formula, P', T', ΔF', and PSD' respectively represent the key indicators of the standardized mean pressure value, current effective temperature value, blood flow change rate, root mean square value and power spectrum density; w1, w2, w3, w4 and w5 respectively represent the weight coefficients, w1+w2+w3+w4+w5=1; S52. By analyzing the time series trends of the comprehensive treatment effect index TEI and key physiological indicators, the dynamic changes of the treatment effect are evaluated through fitting models, and the polynomial fitting method is used to build a model: ； Where y(t) represents TEI, , , ΔF, R EMG and the values ​​of PSD(f) over time t; β0, β1, β2, …, β n represents the coefficient of the fitting model; n represents the order of the fitting model, which is determined according to the complexity of the indicator change; ε represents the random error, that is, the part of the fluctuation that cannot be explained by the model; S53. Based on the TEI value and trend analysis results, the treatment effect was divided into different levels, namely, significant improvement, partial improvement, and no improvement, using the following logical rules: Rule 1: Significant improvement, TEI>0.8 and the trend slope is significantly positive, that is: β1>0; Rule 2: Partial improvement, 0.5≤TEI≤0.8 or trend change is 0, that is: β1=0; Rule 3: No improvement, TEI < 0.5 and the trend is negative, that is: β1 < 0; S54. Generate a treatment effect report based on the evaluation results, including: Comprehensive evaluation: Display TEI value and corresponding grade; Indicator change trend: TEI, , , ΔF, R EMG As well as the time series graph and trend analysis results of PSD(f).

6. The method for monitoring anorectal disease adjuvant therapy based on the extract of Sesamum indica according to claim 1, characterized in that: The process of dynamically adjusting drug release rate and dosage is as follows: S61. Optimize drug dosage and release strategy based on the results of treatment effect evaluation and set the dynamic drug release rate R adjust and dose D adjust , used to adjust drug output during treatment: ； ； Where R0 and D0 represent the initial drug release rate and dose, respectively; λ1, λ2, λ3 and λ4 represent weight coefficients, which are used to adjust the effect of each parameter on drug release; ΔP represents the difference between the current pressure value and the initial pressure value, reflecting the effect of treatment on the pressure change in the anorectal area. ; ΔT represents the difference between the current temperature value and the initial temperature value, reflecting the impact of temperature changes during treatment. ; S62, adjust the release rate R adjust When TEI is low, it means that the therapeutic effect is poor, and the drug release rate needs to be increased to enhance the therapeutic effect; if ΔP is large, it is caused by overtreatment, and the drug release rate needs to be reduced; S63. Adjust drug dosage adjust , the drug dosage is dynamically adjusted according to the treatment effect. When TEI increases, the drug dosage is reduced to avoid drug overdose; ΔT represents the degree of temperature change. If the temperature change is large, the drug dosage needs to be reduced; S64, by real-time monitoring of the drug release rate R during treatment adjust and dose D adjust , and automatically make feedback adjustments: ； ； Where, ΔD feedback and ΔR feedback Indicates the feedback adjustment amount, which is used to update the drug dosage and release rate in real time; D previous and R previous They represent the drug dosage and release rate adjusted last time, respectively; k1 and k2 represent the adjustment coefficients, which control the sensitivity of the feedback mechanism; S65. According to the difference between the previous treatment adjustment result and the current treatment adjustment amount, the drug dosage and release rate are adjusted in real time to ensure the stability and safety of the treatment plan.

7. The method for monitoring anorectal disease adjuvant therapy based on the extract of Sesamum indica according to claim 1, characterized in that: The implementation process of monitoring and capturing change signals at every stage of the treatment process and intervening is as follows: S71, setting threshold T threshold : ； In the formula, represents the baseline threshold; η1 and η2 represent the adjustment coefficients set according to clinical trial data and individual differences, respectively; S72: When the pressure value or temperature value in the patient's physiological index exceeds the threshold value T threshold When a patient is detected, it is automatically identified as abnormal and notified to medical staff through an early warning mechanism. After the early warning is triggered, medical staff obtain detailed patient data and decide whether immediate intervention is needed. S73. Perform intervention adjustments based on treatment parameters and feedback, and use the following adjustment formula to update the treatment plan: ； ； Where D intervene and R intervene represents the drug dosage and release rate after remote intervention adjustment; D current and R current represents the current drug dosage and release rate; λ1, λ2, λ3 and λ4 represent adjustment coefficients respectively; S74. After each adjustment of the drug dosage or release rate, continue to track the treatment progress, monitor changes in physiological parameters, and update the treatment effect index TEI: Assuming that the change in treatment effect in each monitoring cycle is ΔTEI, the calculation formula is: ΔTEI=TEI current -LIME previous ; Where, TEI current Represents the current treatment effect index, which is based on the latest physiological data and treatment effect evaluation; TEI previous represents the treatment effect index of the previous monitoring period; S75. By continuously monitoring ΔTEI, it is automatically determined whether the treatment is gradually improving. If the treatment effect does not meet expectations, the treatment plan will be adjusted or the intervention frequency will be increased.

8. A monitoring system for auxiliary treatment of anorectal diseases based on Sesamum indica extract, which is used to implement the monitoring method for auxiliary treatment of anorectal diseases based on Sesamum indica extract according to any one of claims 1 to 7, characterized in that: include: The Jingshenmai extract drug processing module is responsible for preparing the Jingshenmai extract and injecting it into the patient's body according to personalized needs through an intelligent drug release device; A physiological monitoring module for detecting physiological data using a sensor array to capture the patient's physiological state; The data analysis and suggestion module is used to process the collected physiological data in real time and analyze the data in combination with the pharmacological characteristics of the Jingshenmai extract; Treatment feedback and suggestion module, which is used to provide personalized treatment feedback and adjustment suggestions based on monitoring data and treatment effects; The remote monitoring and intelligent push module is used to transmit the patient's real-time data and treatment progress to the medical team through the wireless communication network to achieve remote tracking and intervention.

9. The anorectal disease auxiliary treatment monitoring system based on the Sesamum indica extract according to claim 8, characterized in that: The sensor array includes non-invasive flexible pressure sensors, temperature sensors, blood flow sensors, and bioelectric sensors.

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