Hemorrhoids non-invasive treatment system and method based on micro-current electrolysis

Abstract

The invention relates to the technical field of medical instruments, and discloses a hemorrhoid noninvasive treatment system and method based on microcurrent electrolysis, and the system comprises a treatment area positioning module, a current intensity adjusting module, a local heating module, an intelligent control module and a feedback monitoring module. Through cooperative work of the five modules, the accuracy, safety and effect of hemorrhoid treatment are greatly improved. Compared with a traditional treatment method, the system overcomes the problems that in the prior art, treatment is not accurate, the current intensity is not stable, and the discomfort of a patient is high through accurate area positioning, intelligent current intensity adjustment, dynamic temperature regulation and control and real-time feedback monitoring. The intelligent adjustment and personalized treatment process in the system not only improves the treatment effect, but also significantly improves the comfort of the patient, and reduces the occurrence of side effects.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and particularly to a non-invasive hemorrhoid treatment system and method based on micro-current electrolysis. Background Art

[0002] Although certain achievements have been made in the treatment of hemorrhoids using micro-current electrolysis technology, there are still some problems in the existing technology that limit its effectiveness and wide application. The current treatment methods lack in the positioning of the treatment area and the personalized adjustment of the current intensity, and fail to make precise adjustments according to the specific conditions of different patients. In addition, physiological data such as the pain, static degree, and body temperature fluctuations of patients during the treatment process have not been fully monitored and analyzed, resulting in significant differences in the treatment effects. The main problem with the existing technology is the lack of precise control and real-time feedback mechanisms for individual patient differences, which may lead to excessive or insufficient intervention during the treatment process, affecting the curative effect and reducing the comfort of patients.

[0003] Therefore, we propose a non-invasive hemorrhoid treatment system based on micro-current electrolysis to solve the above-mentioned problems. Summary of the Invention

[0004] The purpose of the present invention is to provide a non-invasive hemorrhoid treatment system based on micro-current electrolysis to solve the problems in the above-mentioned background art that the current treatment methods lack in the positioning of the treatment area and the personalized adjustment of the current intensity, and fail to make precise adjustments according to the specific conditions of different patients.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] Preferably, the non-invasive hemorrhoid treatment system based on micro-current electrolysis includes a treatment area positioning module, a current intensity adjustment module, a local heating module, an intelligent control module, and a feedback monitoring module;

[0007] The treatment area positioning module locates the treatment area of the patient by collecting and analyzing the patient's image data;

[0008] The current intensity adjustment module sets the initial current used for treatment by collecting and analyzing the current data of the instrument;

[0009] The local heating module determines whether local heating is required for the treatment area by collecting and analyzing the patient's temperature data;

[0010] The intelligent control module intelligently controls the current intensity during the patient's treatment by collecting and analyzing the comprehensive data of the patient and the instrument;

[0011] The feedback monitoring module is used to feedback the collected and generated data for record archiving.

[0012] Preferably, the treatment area positioning module includes an image data acquisition unit and an image processing and analysis unit;

[0013] The image data acquisition unit obtains image data of the patient's lesion area, thereby extracting core parameters, including the lesion area MJ, the lesion edge smoothness PHD, the lesion boundary area ratio BJB, and the lesion tissue contrast DBD;

[0014] The image processing and analysis unit is used to integrate and calculate the extracted lesion area MJ, lesion edge smoothness PHD, lesion boundary area ratio BJB, and lesion tissue contrast DBD, thereby generating a treatment area verification coefficient HDX, and comparing the calculated treatment area verification coefficient with a preset first threshold to generate a first comparison result. According to the first comparison result, the lesion area of the patient is positioned.

[0015] Preferably, the treatment area verification coefficient HDX is calculated and obtained through the following formula;

[0016]

[0017] In the formula: MJ is the lesion area, MJ max is the theoretical maximum value of the lesion, and the theoretical maximum value of the lesion MJ max is provided by a medical website, PHD is the lesion edge smoothness, BJB is the lesion boundary area ratio, and DBD is the lesion tissue contrast;

[0018] a1, a2, a3, and a4 are weight values, and the values of a1, a2, a3, and a4 are adjusted and set by the user. o1 and o2 are correction constants, indicating that the treatment demand increases rapidly when higher than this value. The values of o1 and o2 are provided by a medical website.

[0019] Preferably, the first comparison result is as follows;

[0020] When HDX < Y, it means that the current area does not need treatment and is recorded as DY, with a value of 0;

[0021] When Y < HDX ≤ Y × 110%, it means that the current area is a primary lesion area and is recorded as DY, with a value of 1;

[0022] When Y × 110% < HDX ≤ Y × 120%, it means that the current area is a secondary lesion area and is recorded as DY, with a value of 2;

[0023] When Y × 120% < HDX, it means that the current area is a tertiary lesion area and is recorded as DY, with a value of 3.

[0024] Preferably, the current intensity adjustment module includes a current data acquisition unit and a current data analysis unit;

[0025] The current data acquisition unit is used to collect the current data of the instrument, so as to extract the core parameters, including the current frequency DPL, the current waveform DBX, the current duration DSJ, and the current pulse width DMK;

[0026] The current data analysis unit is used to couple the extracted current frequency DPL, current waveform DBX, current duration DSJ, current pulse width DMK, and the first comparison result, so as to generate the initial current intensity CDL for treatment. The specific calculation formula is as follows:

[0027]

[0028] In the formula: DPL is the current frequency, DBX is the current waveform, DSJ is the current duration, DMK is the current pulse width, and DY is the recorded value of the first comparison result;

[0029] b1, b2, b3, and b4 are weight values, and the values of b1, b2, b3, and b4 are adjusted and set by the user. o1, o2, and o3 are correction constants, indicating that the demand increases rapidly when it is higher than this value. The values of o1 and o2 are provided by the medical website.

[0030] Preferably, the local heating module includes a temperature data acquisition unit and a temperature analysis and control unit;

[0031] The temperature data acquisition unit collects the temperature data of the patient, so as to extract the core parameters, including the maximum body temperature ZDT, the minimum body temperature ZXT, the body temperature fluctuation frequency TBD, and the fluctuation change time TSJ;

[0032] The temperature analysis and control unit is used to integrally calculate the extracted maximum body temperature ZDT, minimum body temperature ZXT, body temperature fluctuation frequency TBD, and fluctuation change time TSJ, so as to generate a local heating determination coefficient JJR, and compare the local heating determination coefficient with a preset second threshold value to generate a second comparison result.

[0033] Preferably, the specific calculation formula of the local heating determination coefficient JJR is as follows:

[0034]

[0035] In the formula: ZDT is the maximum body temperature, ZXT is the minimum body temperature, TBD is the body temperature fluctuation rate, and TSJ is the body temperature fluctuation duration;

[0036] c1, c2, and c3 are weight values, and the values of c1, c2, and c3 are adjusted and set by the user. o1 is a correction constant, indicating that the demand increases rapidly when it is higher than this value. The value of o1 is provided by a medical website.

[0037] Preferably, the second comparison result is as follows;

[0038] When JJR < R, it means that the current area does not need to be heated;

[0039] When JJR ≥ R, it means that the current area needs to be heated.

[0040] Preferably, the intelligent control module includes a comprehensive data acquisition unit and an analysis and decision-making unit;

[0041] The comprehensive data acquisition unit is used to collect the comprehensive data of the patient and the instrument, so as to extract the core parameters, including heart rate XL, pain level TSP, static degree value JTZ, and instrument working state GZT;

[0042] The analysis and decision-making unit integrates and calculates the extracted heart rate XL, pain level TSP, static degree value JTZ, instrument working state GZT, initial current intensity CDL, and the recorded value DY of the first comparison result, so as to generate an adjustment intervention coefficient TZJ, and analyzes the adjustment intervention coefficient to generate a third comparison result;

[0043]

[0044] In the formula: CDL is the initial current intensity, GZT is the instrument working state, XL is the heart rate, JTZ is the static degree value, and TSP is the pain level;

[0045] d1 and d2 are weight values, and the values of d1 and d2 are adjusted and set by the user. o1 and o2 are correction constants, indicating that the treatment demand increases rapidly when it is higher than this value. The values of o1 and o2 are provided by a medical website;

[0046] The third comparison result is as follows:

[0047] When TZJ ≤ 0.85, it means that the current current has no adverse effect on the patient and no adjustment is required;

[0048] When 0.85 < TZJ ≤ 0.95, it means that the current current has caused a first-level adverse effect on the patient, and the treatment current needs to be reduced by 10%;

[0049] When TZJ > 0.95, it means that the current current has caused a second-level adverse effect on the patient, and the treatment needs to be suspended for a second inspection.

[0050] This application also includes a non-invasive treatment method for hemorrhoids based on micro-current electrolysis, and the specific steps are as follows:

[0051] S1. Collect the image data of the patient through the treatment area positioning module, analyze the collected image data, identify the lesion area of the patient, perform precise positioning, and use image processing algorithms to ensure the accuracy of the treatment area, providing basic data for subsequent treatment;

[0052] S2. The current intensity adjustment module collects the real-time current data of the treatment instrument, monitors the current output during the treatment process in real time through a current sensor, performs real-time analysis and processing according to the collected current data, ensures that the setting of the initial current intensity meets the treatment requirements, and the system automatically adjusts the current intensity according to the individual differences and treatment responses of the patient to ensure the best treatment effect and avoid discomfort or insufficient curative effect caused by too high or too low current intensity;

[0053] S3. The local heating module collects the temperature data of the patient's treatment area through a sensor. According to the collected temperature data, the system analyzes and judges whether it is necessary to locally heat the treatment area. If the temperature of the treatment area is low, or there is inflammation or poor blood circulation, the system will automatically judge and start the heating program to improve the treatment effect. The heating temperature range and duration are dynamically adjusted by the system according to the real-time situation of the patient;

[0054] S4. The intelligent control module integrates the functions of collecting and analyzing multiple physiological parameters. The system analyzes the physiological feedback data of the patient and the working state of the instrument, and judges the change requirement of the current intensity during the treatment process in real time. According to the feedback data of the patient, the system intelligently adjusts the current intensity to ensure that the current intensity during the treatment process is always maintained within a safe and effective range. If the system detects that the current intensity may have an adverse impact on the patient, it will automatically reduce the current intensity or pause the treatment for reexamination;

[0055] S5. The feedback monitoring module continuously monitors and records various collected data during the treatment process, including current intensity, temperature data, patient physiological feedback, etc. These data are used to adjust the treatment parameters in real time and provide data support for the optimization of subsequent treatment plans. All treatment data will be archived and recorded in the system database. This data can be used by doctors to analyze the treatment progress of patients and help optimize future treatment plans. Through the accumulation of long-term feedback data, the system can continuously optimize the treatment plan and improve the treatment effect.

[0056] Compared with the prior art, the beneficial effects of the present invention are:

[0057] 1. This non-invasive hemorrhoid treatment system based on micro-current electrolysis greatly improves the accuracy, safety and effectiveness of hemorrhoid treatment through the collaborative work of the above five modules. Compared with traditional treatment methods, this system overcomes the problems in the prior art such as inaccurate treatment, unstable current intensity, and strong patient discomfort through precise regional positioning, intelligent adjustment of current intensity, dynamic temperature control, and real-time feedback monitoring. The intelligent adjustment and personalized treatment process in the system not only improve the treatment effect, but also significantly improve the patient's comfort and reduce the occurrence of side effects.

[0058] 2. Through the precise positioning and grading determination of the treatment area, unnecessary over-treatment or wrong treatment is avoided, thus ensuring the safety of treatment. Precise positioning and reasonable grading make the treatment process more efficient, reduce the discomfort of patients during treatment, and improve the overall treatment experience of patients.

[0059] 3. By precisely controlling the current intensity and combining with the intelligent analysis of the patient's condition, this module effectively avoids the situation of too large or too small current intensity. Too strong current may cause discomfort or side effects to patients, while too weak current may affect the treatment effect. Through dynamic adjustment and intelligent control, the system can maintain the current intensity at the optimal level, reduce adverse reactions, and improve the safety and comfort of treatment.

[0060] 4. The temperature data acquisition unit collects the patient's maximum body temperature ZDT, minimum body temperature ZXT, body temperature fluctuation frequency TBD, and fluctuation change time TSJ, and transmits these data to the temperature analysis and control unit for calculation. By comprehensively analyzing these temperature data, this module accurately judges whether local heating is required. The calculation of the local heating determination coefficient JJR can automatically judge whether heating is required according to the temperature fluctuation situation and body temperature level, ensuring accurate and effective temperature regulation during treatment.

[0061] 5. When the adjustment intervention coefficient TZJ is greater than 0.85, the system will issue a warning in time and adjust the current intensity according to the set rules. If the current intensity is too large, it may cause adverse effects on patients. The intelligent control module minimizes the side effects during treatment by reducing the current intensity or pausing the treatment, ensuring the safety and comfort of patients. Description of the Drawings

[0062] Figure 1 This is the system flow chart of the present invention.

[0063] Figure 2 This is the method step diagram of the present invention.

[0064] In the figure: 1. Treatment area positioning module; 11. Image data acquisition unit; 12. Image processing and analysis unit; 2. Current intensity adjustment module; 21. Current data acquisition unit; 22. Current data analysis unit; 3. Local heating module; 31. Temperature data acquisition unit; 32. Temperature analysis and control unit; 4. Intelligent control module; 41. Comprehensive data acquisition unit; 42. Analysis and decision-making unit; 5. Feedback monitoring module. Specific implementation mode

[0065] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0066] Embodiment 1: Please refer to Figure 1 , a non-invasive hemorrhoid treatment system based on micro-current electrolysis, including a treatment area positioning module 1, a current intensity adjustment module 2, a local heating module 3, an intelligent control module 4, and a feedback monitoring module 5;

[0067] The treatment area positioning module 1 locates the treatment area of the patient by collecting and analyzing the image data of the patient.

[0068] The current intensity adjustment module 2 sets the initial current used for treatment by collecting and analyzing the current data of the instrument.

[0069] The local heating module 3 determines whether local heating is required in the treatment area by collecting and analyzing the temperature data of the patient.

[0070] The intelligent control module 4 intelligently controls the current intensity during the treatment of the patient by collecting and analyzing the comprehensive data of the patient and the instrument.

[0071] The feedback monitoring module 5 is used to feedback various collected and generated data for recording and archiving.

[0072] In this embodiment: The treatment area positioning module 1 accurately determines the treatment area of the patient by collecting and analyzing the image data of the patient. This module uses high-resolution image acquisition technology and accurately locates the hemorrhoid lesions of the patient based on image processing algorithms. Through real-time image analysis, the system can dynamically identify the shape, position, and range of the lesion area, ensuring the accuracy and reliability of the selection of the treatment area, avoiding accidental injury to healthy tissues. This module effectively improves the accuracy and safety of the treatment, provides a scientific basis for subsequent treatment, avoids unnecessary intervention, and significantly improves the efficiency and effect of the treatment.

[0073] The current intensity adjustment module 2 collects and analyzes the current data of the instrument, and intelligently adjusts the initial current intensity required during the treatment process. According to the specific condition of the patient and the real-time treatment requirements, this module automatically adjusts the current intensity to ensure the best treatment effect. By precisely controlling the current intensity, this module can effectively avoid the situation of too strong or too weak current, thus ensuring the effectiveness of the treatment and reducing side effects. In addition, the dynamic adjustment of the current intensity helps to improve the comfort of the patient, ensuring that the discomfort during the treatment process is minimized and enhancing the patient's treatment experience.

[0074] The local heating module 3 collects the temperature data of the patient and analyzes it to determine in real time whether the treatment area needs local heating. This module can monitor the body temperature fluctuation of the patient and judge whether heating is required according to the temperature condition of the treatment area to promote blood circulation and accelerate the recovery of the hemorrhoid lesion. Local heating can effectively relieve the discomfort of the patient during the treatment process and promote the improvement of the treatment effect, especially playing a key role in reducing the inflammatory reaction and accelerating the recovery. By precisely controlling the local heating, the module not only improves the comfort of the treatment but also enhances the overall effect of the treatment.

[0075] The intelligent control module 4 comprehensively collects various data of the patient and the instrument, intelligently analyzes and adjusts the current intensity during the treatment process in real time. This module uses complex algorithms, combines the physiological state of the patient, treatment feedback and the data of the current intensity adjustment module 2, and automatically adjusts the current output during the treatment to adapt to the individual treatment needs of the patient. The intelligent control module realizes the personalized optimization of the treatment process, not only improving the safety of the treatment but also enhancing the treatment effect. Through real-time intelligent adjustment, this module ensures that the patient always receives the most suitable current intensity during the treatment process, thus improving the treatment efficiency and reducing the occurrence of adverse reactions.

[0076] The feedback monitoring module 5 is used to record and archive the various data collected during the treatment process in real time and feedback it to the system to provide data support for subsequent treatments. By real-time monitoring of the patient's physiological data and treatment parameters, this module can provide accurate feedback on the treatment effect and provide a basis for the optimization of the treatment plan according to these data. The feedback monitoring module not only helps doctors understand the treatment progress in real time and make necessary adjustments, but also establishes a detailed health record for the patient, facilitating the viewing and evaluation of the treatment results at any time. In addition, the recording and archiving function provides valuable data support for future treatments, facilitating subsequent treatment management and effect analysis.

[0077] This non-invasive hemorrhoid treatment system based on micro-current electrolysis greatly improves the accuracy, safety and effectiveness of hemorrhoid treatment through the collaborative work of the above five modules. Compared with traditional treatment methods, the system overcomes problems such as inaccurate treatment, unstable current intensity, and strong patient discomfort in the existing technology through precise regional positioning, intelligent adjustment of current intensity, dynamic temperature control, and real-time feedback monitoring. The intelligent adjustment and personalized treatment process in the system not only improve the treatment effect, but also significantly improve the patient's comfort and reduce the occurrence of side effects.

[0078] Example 2: Please refer to Figure 1 , the treatment area positioning module 1 includes an image data acquisition unit 11 and an image processing and analysis unit 12;

[0079] The image data acquisition unit 11 obtains image data of the patient's lesion area, thereby extracting core parameters, including the disease area MJ, the smoothness of the disease edge PHD, the ratio of the lesion boundary area to the disease area BJB, and the contrast of the lesion tissue DBD;

[0080] The image processing and analysis unit 12 is used to integrate and calculate the extracted disease area MJ, the smoothness of the disease edge PHD, the ratio of the lesion boundary area to the disease area BJB, and the contrast of the lesion tissue DBD, thereby generating a treatment area verification coefficient HDX, and comparing the calculated treatment area verification coefficient with a preset first threshold to generate a first comparison result. According to the first comparison result, the lesion area of the patient is located.

[0081] The treatment area verification coefficient HDX is calculated through the following formula;

[0082]

[0083] In the formula: MJ is the lesion area, MJ max is the theoretical maximum value of the lesion, and the theoretical maximum value of the lesion MJ max is provided by a medical website, PHD is the smoothness of the disease edge, BJB is the ratio of the lesion boundary area to the disease area, and DBD is the contrast of the lesion tissue;

[0084] a1, a2, a3, and a4 are weight values, and the values of a1, a2, a3, and a4 are adjusted and set by the user. o1 and o2 are correction constants, indicating that the treatment demand increases rapidly when it is higher than this value. The values of o1 and o2 are provided by a medical website.

[0085] The first comparison result is as follows;

[0086] When HDX < Y, it means that the current area does not need to be treated, and it is recorded as DY, with a value of 0;

[0087] When Y < HDX ≤ Y × 110%, it represents that the current area is a primary lesion area, which is recorded as DY with a value of 1;

[0088] When Y × 110% < HDX ≤ Y × 120%, it represents that the current area is a secondary lesion area, which is recorded as DY with a value of 2;

[0089] When Y × 120% < HDX, it represents that the current area is a tertiary lesion area, which is recorded as DY with a value of 3.

[0090] In this embodiment: Precise positioning of the treatment area: The image data acquisition unit 11 acquires the image data of the patient's lesion area, and extracts core parameters such as the disease area MJ, edge smoothness PHD, boundary area ratio BJB, and tissue contrast DBD, so as to precisely position the treatment area. This process greatly improves the accuracy of treatment, ensures that the treatment is only concentrated on the hemorrhoid lesion area, and avoids ineffective or harmful intervention on healthy tissues.

[0091] Quantifying the severity of the lesion area: The image processing and analysis unit 12 integrates and calculates the core parameters to generate a treatment area verification coefficient HDX. This coefficient can not only quantify the severity of the lesion area, but also comprehensively evaluate according to multiple factors such as the lesion area, edge smoothness, boundary area ratio, and tissue contrast, reflecting the actual situation of the lesion area.

[0092] Intelligent grading to determine treatment needs: According to the comparison between the treatment area verification coefficient HDX and the preset first threshold, a first comparison result is generated. According to the value of HDX, the system classifies the lesion area into different grades, providing a basis for the further formulation of the treatment plan. This grading mechanism effectively avoids excessive intervention in areas that do not require treatment, while ensuring that severely affected lesion areas can receive timely and appropriate treatment.

[0093] Optimizing the treatment plan and improving the treatment effect: Through the grading and evaluation of the lesion area, the system can provide different treatment strategies for different levels of lesion areas. For example, for tertiary lesion areas, the treatment intensity may need to be increased, while for primary lesion areas, a lighter treatment plan can be selected. This intelligent and personalized treatment plan helps to improve the pertinence and effect of treatment, maximize the curative effect, and reduce the discomfort of patients at the same time.

[0094] Improving treatment safety and patient comfort: Through the precise positioning and grading determination of the treatment area, unnecessary over-treatment or wrong treatment is avoided, thus ensuring the safety of treatment. Precise positioning and reasonable grading make the treatment process more efficient, reduce the discomfort of patients during the treatment process, and improve the overall treatment experience of patients.

[0095] Data-driven treatment optimization: Based on real-time collection and data analysis, the system can adjust the treatment plan in real time according to the specific conditions of the patient and treatment feedback. This makes the treatment process more flexible, enables dynamic optimization according to the actual situation, and further improves the accuracy and effectiveness of the treatment.

[0096] Embodiment 3: Please refer to Figure 1 , the current intensity adjustment module 2 includes a current data acquisition unit 21 and a current data analysis unit 22;

[0097] The current data acquisition unit 21 is used to collect the current data of the instrument, so as to extract the core parameters, including the current frequency DPL, the current waveform DBX, the current duration DSJ, and the current pulse width DMK;

[0098] The current data analysis unit 22 is used to couple the extracted current frequency DPL, current waveform DBX, current duration DSJ, current pulse width DMK, and the first comparison result, so as to generate the initial current intensity CDL for treatment. The specific calculation formula is as follows:

[0099]

[0100] In the formula: DPL is the current frequency, DBX is the current waveform, DSJ is the current duration, DMK is the current pulse width, and DY is the recorded value of the first comparison result;

[0101] b1, b2, b3, and b4 are weight values, and the values of b1, b2, b3, and b4 are adjusted and set by the user. o1, o2, and o3 are correction constants, indicating that the demand increases rapidly when it is higher than this value. The values of o1 and o2 are provided by the medical website.

[0102] In this embodiment: Dynamically adjust the treatment intensity: The current data acquisition unit 21 collects the current data of the instrument in real time, including core parameters such as the current frequency DPL, the current waveform DBX, the current duration DSJ, and the current pulse width DMK, and inputs these parameters into the current data analysis unit 22 for processing. This module can intelligently analyze the specific situation of the patient and dynamically adjust the current intensity to ensure that the current is always within the most appropriate range during the treatment process, avoiding the risks of too high or too low current intensity, thereby improving the accuracy and effectiveness of the treatment.

[0103] Personalized adjustment parameters: Through comprehensive analysis of multiple factors such as current frequency, waveform, duration, and pulse width, the current intensity adjustment module 2 can customize personalized treatment current intensity for different patients. This process dynamically adjusts the current intensity based on each patient's specific physiological response and treatment feedback to maximize the treatment effect and minimize discomfort. Especially when dealing with complex lesion areas, personalized current settings can effectively improve the pertinence and effect of treatment.

[0104] Real-time response to patients' treatment feedback: The current data analysis unit 22 combines the first comparison result DY and other parameters to quickly respond to and adjust the current intensity based on the set correction constants o1, o2, and o3. Especially when the patient's body temperature, pain level, or static degree changes, the system can adjust the treatment parameters through the feedback mechanism to ensure the adaptability and accuracy of treatment. Through real-time feedback, the treatment can be optimized according to the patient's immediate physiological state, improving the treatment efficiency and patient comfort.

[0105] Avoid discomfort caused by too strong or too weak current: By precisely controlling the current intensity and combining intelligent analysis of the patient's condition, this module effectively avoids the situation of too strong or too weak current intensity. Too strong current may cause discomfort or side effects to the patient, while too weak current may affect the treatment effect. Through dynamic adjustment and intelligent control, the system can maintain the current intensity at the optimal level, reduce adverse reactions, and improve the safety and comfort of treatment.

[0106] System optimization of current parameter selection: The current intensity adjustment module 2 adjusts parameters such as current frequency, waveform, duration, and pulse width according to different treatment stages and lesion conditions to achieve flexible optimization of the treatment plan. This optimization process takes into account multiple factors, including the size and type of the lesion and the individual differences of the patient, making the treatment plan more intelligent and flexible. Combining the correction and real-time analysis of medical data can further improve the treatment effect and ensure personalized and effective treatment for each patient.

[0107] Quick adaptation to lesion changes: Since the lesion area may change during the treatment process, the current intensity adjustment module 2 can automatically adjust the current parameters according to the lesion changes, thereby optimizing the treatment strategy. This makes the treatment process more efficient and accurate, and can quickly adapt to changes at different stages of treatment to ensure the maximization of the treatment effect.

[0108] Example 4: Please refer to Figure 1 , the local heating module 3 includes a temperature data acquisition unit 31 and a temperature analysis and control unit 32;

[0109] The temperature data acquisition unit 31 extracts core parameters by collecting the temperature data of the patient, including the maximum body temperature ZDT, the minimum body temperature ZXT, the body temperature fluctuation frequency TBD, and the fluctuation change time TSJ.

[0110] The temperature analysis and control unit 32 is used to integrate and calculate the extracted maximum body temperature ZDT, minimum body temperature ZXT, body temperature fluctuation frequency TBD, and fluctuation change time TSJ, so as to generate a local heating determination coefficient JJR, and compare the local heating determination coefficient with a preset second threshold to generate a second comparison result.

[0111] The specific calculation formula of the local heating determination coefficient JJR is as follows:

[0112]

[0113] In the formula: ZDT is the maximum body temperature, ZXT is the minimum body temperature, TBD is the body temperature fluctuation rate, and TSJ is the body temperature fluctuation duration.

[0114] c1, c2, and c3 are weight values, and the values of c1, c2, and c3 are adjusted and set by the user. o1 is a correction constant, indicating that when it is higher than this value, the demand increases rapidly, and the value of o1 is provided by a medical website.

[0115] The second comparison result is specifically as follows:

[0116] When JJR < R, it means that the current area does not need to be heated;

[0117] When JJR ≥ R, it means that the current area needs to be heated.

[0118] In this embodiment: Intelligent determination of whether to heat: The temperature data acquisition unit 31 collects the maximum body temperature ZDT, minimum body temperature ZXT, body temperature fluctuation frequency TBD, and fluctuation change time TSJ of the patient, and transmits these data to the temperature analysis and control unit 32 for calculation. This module accurately determines whether local heating is required by comprehensively analyzing these temperature data. The calculation of the local heating determination coefficient JJR can automatically determine whether heating is required based on the temperature fluctuation situation and body temperature level, ensuring accurate and effective temperature adjustment during the treatment process.

[0119] Real-time adjustment of local temperature: The temperature analysis and control unit 32 monitors the patient's body temperature fluctuation in real time. By calculating the local heating determination coefficient JJR and comparing it with the preset second threshold R, it ensures that the heating program is started in a timely manner when the body temperature fluctuates greatly. This mechanism can dynamically adapt to the patient's body temperature changes during the treatment process, provide flexible heating control, avoid discomfort caused by overheating or overcooling, and optimize the treatment effect.

[0120] Promote blood circulation and accelerate recovery: By collecting and analyzing the patient's body temperature data in real time, the system can accurately determine when to heat the treatment area. Local heating can effectively promote blood circulation, relieve the patient's pain and discomfort, and accelerate the recovery of hemorrhoid lesions. The timely activation of heating can enhance the treatment effect, especially playing a key role in reducing the inflammatory response and the recovery process, and helping the treatment achieve obvious effects faster.

[0121] Avoid unnecessary heating: Through intelligent algorithms, when the local heating determination coefficient JJR is lower than the preset threshold R, the system will automatically determine that the current area does not need to be heated, avoiding additional intervention in areas that do not require heating. This not only reduces the patient's treatment burden but also reduces unnecessary energy consumption, improving the pertinence and efficiency of treatment.

[0122] Formulate personalized treatment strategies based on the patient's body temperature data: The temperature data acquisition unit 31 can obtain the patient's temperature change data in real time, and the temperature analysis and control unit 32 adjusts the heating strategy according to each patient's body temperature fluctuations, body temperature differences, and the response of the treatment area. This personalized adjustment ensures that each patient can obtain the best treatment effect according to their specific body temperature status, rather than adopting a one-size-fits-all treatment method.

[0123] Reduce the patient's heat stress response: The system avoids overheating through intelligent analysis of body temperature fluctuations and durations, ensuring that the heating range and timing meet the patient's comfort requirements. The patient will not feel discomfort or irritation due to overheating, and the treatment process maintains gentle and effective heating, which helps to improve the patient's overall comfort and treatment experience.

[0124] Example Five: Please refer to Figure 1 , the intelligent control module 4 includes a comprehensive data acquisition unit 41 and an analysis and decision-making unit 42;

[0125] The comprehensive data acquisition unit 41 is used to collect the comprehensive data of the patient and the instrument, so as to extract the core parameters, including heart rate XL, pain level TSP, static degree value JTZ, and instrument working state GZT;

[0126] The analysis and decision-making unit 42 integrates and calculates the extracted heart rate XL, pain level TSP, static degree value JTZ, instrument working state GZT, as well as the recorded value DY of the initial current intensity CDL and the first comparison result, so as to generate an adjustment intervention coefficient TZJ, and analyzes the adjustment intervention coefficient to generate a third comparison result;

[0127]

[0128] Where: CDL is the initial current intensity, GZT is the working state of the instrument, XL is the heart rate, JTZ is the static degree value, and TSP is the pain level;

[0129] d1 and d2 are weight values, and the values of d1 and d2 are adjusted and set by the user. o1 and o2 are correction constants, indicating that the treatment demand increases rapidly when it is higher than this value. The values of o1 and o2 are provided by the medical website;

[0130] The specific results of the third comparison are as follows:

[0131] When TZJ ≤ 0.85, it means that the current has no adverse effect on the patient and no adjustment is required;

[0132] When 0.85 < TZJ ≤ 0.95, it means that the current has caused a first-level adverse effect on the patient, and the treatment current needs to be reduced by 10%;

[0133] When TZJ > 0.95, it means that the current has caused a second-level adverse effect on the patient, and the treatment needs to be suspended for a second check.

[0134] In this embodiment: The treatment current is adjusted in real time: By collecting the physiological data of the patient and the working state of the instrument through the comprehensive data acquisition unit 41, the analysis and decision-making unit 42 can calculate and adjust the intervention coefficient TZJ in real time, and then intelligently adjust the intensity of the current during the treatment process. This comprehensive analysis based on multiple parameters can effectively avoid the situation of too high or too low current intensity and ensure that the treatment is always maintained within the most appropriate range.

[0135] Adjust the current intensity according to the individual needs of the patient: By integrating multiple physiological parameters such as the heart rate XL, pain level TSP, and static degree value JTZ, the intelligent control module can customize personalized treatment currents for different patients. This means that the treatment process can be adjusted in real time according to the physiological reactions and pain sensations of the patients, ensuring that each patient can receive treatment at the most suitable treatment intensity, thereby improving the curative effect and reducing the discomfort of the patients.

[0136] Consider the instrument state and patient feedback for adjustment: During the treatment process, the working state GZT of the instrument and the physiological feedback of the patient will affect the treatment effect. The intelligent control module adjusts the current intensity in real time through the comprehensive analysis of these parameters to ensure that the current output during the treatment process matches the specific needs of the patient and the device state, thereby improving the accuracy and effect of the treatment.

[0137] Avoid adverse reactions caused by too strong or too weak current: When the adjusted intervention coefficient TZJ is greater than 0.85, the system will issue a warning in a timely manner and adjust the current intensity according to the set rules. If the current intensity is too high, it may cause adverse effects on the patient. The intelligent control module minimizes the side effects during the treatment process and ensures the safety and comfort of the patient by reducing the current intensity or pausing the treatment.

[0138] Adjust the treatment through real-time data feedback: The comprehensive data acquisition unit 41 not only acquires real-time data but also works in collaboration with the analysis and decision-making unit 42. Through the real-time feedback mechanism, it ensures that the current intensity always meets the treatment requirements. The system dynamically adjusts the treatment current through intelligent algorithms, responds in real time to changes in the patient's physiological state, and makes the treatment process more adaptable and flexible.

[0139] Adjust the treatment according to the TZJ value classification: Through the generated third comparison result, the intelligent control module can adjust the treatment measures according to different TZJ values in a graded manner. If the TZJ value is low ≤ 0.85, it means that the current current intensity has no adverse effect on the patient and no adjustment is required; if the TZJ value is high > 0.95, the treatment needs to be paused and a secondary examination is required to ensure safety during the treatment process. Through this graded management, the system can effectively control the treatment intensity and avoid excessive intervention or improper treatment that may occur during the treatment process.

[0140] Ensure that the current intensity is within a safe range: By intelligently analyzing the impact of the current intensity on the patient, the system can ensure that the current intensity is always within a safe range, avoiding over-stimulation or insufficient treatment. The intelligent intervention system greatly improves the safety and effectiveness of the treatment, reduces the discomfort of the patient during the treatment process, and thus improves the overall efficiency of the treatment.

[0141] This application also includes a non-invasive treatment method for hemorrhoids based on micro-current electrolysis. Please refer to Figure 2 The specific steps are as follows:

[0142] S1. Collect the image data of the patient through the treatment area positioning module 1, analyze the collected image data, identify the lesion area of the patient, perform precise positioning, and use image processing algorithms to ensure the accuracy of the treatment area, providing basic data for subsequent treatment;

[0143] S2. The current intensity adjustment module 2 collects the real-time current data of the treatment instrument, monitors the current output during the treatment process in real time through a current sensor, performs real-time analysis and processing according to the collected current data, ensures that the setting of the initial current intensity meets the treatment requirements, and the system automatically adjusts the current intensity according to the individual differences and treatment responses of the patient to ensure the best treatment effect and avoid discomfort or insufficient efficacy caused by too high or too low current intensity;

[0144] S3. The local heating module 3 collects the temperature data of the patient's treatment area through sensors. Based on the collected temperature data, the system analyzes and determines whether local heating of the treatment area is required. If the temperature of the treatment area is low, or there is inflammation or poor blood circulation, the system will automatically determine and start the heating program to improve the treatment effect. The heating temperature range and duration are dynamically adjusted by the system according to the patient's real-time situation;

[0145] S4. The intelligent control module 4 integrates the functions of collecting and analyzing multiple physiological parameters. The system analyzes the patient's physiological feedback data and the working state of the instrument to judge the change requirement of the current intensity during the treatment in real time. According to the patient's feedback data, the system intelligently adjusts the current intensity to ensure that the current intensity is always maintained within a safe and effective range during the treatment. If the system detects that the current intensity may have an adverse effect on the patient, it will automatically reduce the current intensity or pause the treatment for reexamination;

[0146] S5. The feedback monitoring module 5 continuously monitors and records various collected data during the treatment, including information such as current intensity, temperature data, and patient physiological feedback. These data are used to adjust the treatment parameters in real time and provide data support for the optimization of subsequent treatment plans. All treatment data will be archived and recorded in the system database. This data can be used by doctors to analyze the patient's treatment progress and help optimize future treatment plans. Through the accumulation of long-term feedback data, the system can continuously optimize the treatment plan and improve the treatment effect.

[0147] The content not described in detail in this specification belongs to the prior art well known to those skilled in the art.

[0148] Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A non-invasive treatment system for hemorrhoids based on micro-current electrolysis, characterized in that: It includes a treatment area positioning module (1), a current intensity adjustment module (2), a local heating module (3), an intelligent control module (4), and a feedback monitoring module (5); The treatment area positioning module (1) locates the patient's treatment area by collecting and analyzing the patient's image data; The current intensity adjustment module (2) sets the initial current used in the treatment by collecting and analyzing the current data of the instrument; The local heating module (3) determines whether local heating is required for the treatment area by collecting and analyzing the patient's temperature data; The intelligent control module (4) intelligently controls the current intensity during the patient's treatment process by collecting and analyzing the comprehensive data of the patient and the instrument; The feedback monitoring module (5) is used to feedback the collected and generated data for recording and archiving.

2. The non-invasive hemorrhoid treatment system based on micro-current electrolysis according to claim 1, characterized in that: The treatment area positioning module (1) includes an image data acquisition unit (11) and an image processing and analysis unit (12); The image data acquisition unit (11) obtains image data of the patient's lesion area to extract core parameters, including the disease area MJ, the smoothness of the disease edge PHD, the ratio of the lesion boundary area BJB, and the tissue contrast of the lesion DBD; The image processing and analysis unit (12) is used to integrate and calculate the extracted disease area MJ, the smoothness of the disease edge PHD, the ratio of the lesion boundary area BJB, and the tissue contrast of the lesion DBD to generate a treatment area verification coefficient HDX, and compare the calculated treatment area verification coefficient with a preset first threshold to generate a first comparison result. According to the first comparison result, the patient's lesion area is located.

3. The non-invasive hemorrhoid treatment system based on micro-current electrolysis according to claim 2, wherein: The treatment area verification coefficient HDX is calculated by the following formula; Where: MJ is the lesion area, MJ max is the theoretical maximum value of the lesion, and the theoretical maximum value of the lesion MJ max is provided by the medical website. PHD is the smoothness of the lesion edge, BJB is the ratio of the lesion boundary area, and DBD is the contrast of the lesion tissue; a1, a2, a3, and a4 are weight values, and the values of a1, a2, a3, and a4 are adjusted and set by the user. o1 and o2 are correction constants, indicating that the treatment demand increases rapidly when higher than this value. The values of o1 and o2 are provided by a medical website.

4. The non-invasive hemorrhoid treatment system based on micro-current electrolysis according to claim 3, characterized in that: The first comparison result is as follows; When HDX < Y, it means that the current area does not require treatment and is recorded as DY with a value of 0; When Y < HDX ≤ Y × 110%, it means that the current area is a first-level lesion area and is recorded as DY with a value of 1; When Y × 110% < HDX ≤ Y × 120%, it means that the current area is a second-level lesion area and is recorded as DY with a value of 2; When Y × 120% < HDX, it means that the current area is a third-level lesion area and is recorded as DY with a value of 3.

5. The non-invasive hemorrhoid treatment system based on micro-current electrolysis according to claim 4, characterized in that: The current intensity adjustment module (2) includes a current data acquisition unit (21) and a current data analysis unit (22); The current data acquisition unit (21) collects the current data of the instrument to extract core parameters, including the current frequency DPL, the current waveform DBX, the current duration DSJ, and the current pulse width DMK; The current data analysis unit (22) is used to couple the extracted current frequency DPL, current waveform DBX, current duration DSJ, current pulse width DMK, and the first comparison result, so as to generate the initial current intensity CDL for treatment. The specific calculation formula is as follows: Where: DPL is the current frequency, DBX is the current waveform, DSJ is the current duration, DMK is the current pulse width, and DY is the recorded value of the first comparison result; b1, b2, b3, and b4 are weight values, and the values of b1, b2, b3, and b4 are adjusted and set by the user. o1, o2, and o3 are correction constants, indicating that the requirement increases rapidly when higher than this value. The values of o1 and o2 are provided by the medical website.

6. The non-invasive hemorrhoid treatment system based on micro-current electrolysis according to claim 5, characterized in that: The local heating module (3) includes a temperature data acquisition unit (31) and a temperature analysis and control unit (32); The temperature data acquisition unit (31) extracts core parameters by collecting the temperature data of the patient, including the maximum body temperature ZDT, the minimum body temperature ZXT, the body temperature fluctuation frequency TBD, and the fluctuation change time TSJ; The temperature analysis and control unit (32) is used to integrally calculate the extracted maximum body temperature ZDT, minimum body temperature ZXT, body temperature fluctuation frequency TBD, and fluctuation change time TSJ, so as to generate a local heating determination coefficient JJR, and compare the local heating determination coefficient with a preset second threshold to generate a second comparison result.

7. The non-invasive hemorrhoid treatment system based on micro-current electrolysis according to claim 6, characterized in that: The specific calculation formula of the local heating determination coefficient JJR is as follows: Where: ZDT is the maximum body temperature, ZXT is the minimum body temperature, TBD is the body temperature fluctuation rate, and TSJ is the body temperature fluctuation duration; c1, c2, and c3 are weight values, and the values of c1, c2, and c3 are adjusted and set by the user. o1 is a correction constant, indicating that the requirement increases rapidly when higher than this value. The value of o1 is provided by the medical website.

8. The non-invasive hemorrhoid treatment system based on micro-current electrolysis according to claim 7, characterized in that: The specific content of the second comparison result is as follows; When JJR < R, it means that the current area does not need to be heated; When JJR ≥ R, it means that the current area needs to be heated.

9. The non-invasive hemorrhoid treatment system based on micro-current electrolysis according to claim 8, characterized in that: The intelligent control module (4) includes a comprehensive data acquisition unit (41) and an analysis and decision-making unit (42); The comprehensive data acquisition unit (41) is used to collect the comprehensive data of the patient and the instrument, so as to extract core parameters, including heart rate XL, pain level TSP, static degree value JTZ, and instrument working state GZT; The analysis and decision-making unit (42) integrally calculates the extracted heart rate XL, pain level TSP, static degree value JTZ, instrument working state GZT, the initial current intensity CDL, and the recorded value DY of the first comparison result, so as to generate an adjustment intervention coefficient TZJ, and analyze the adjustment intervention coefficient to generate a third comparison result; Where: CDL is the initial current intensity, GZT is the instrument working state, XL is the heart rate, JTZ is the static degree value, and TSP is the pain level; d1 and d2 are weight values, and the values of d1 and d2 are adjusted and set by the user. o1 and o2 are correction constants, indicating that the treatment demand increases rapidly when it is higher than this value. The values of o1 and o2 are provided by medical websites; The specific results of the third comparison are as follows: When TZJ ≤ 0.85, it means that the current has no adverse effect on the patient and no adjustment is required; When 0.85 < TZJ ≤ 0.95, it means that the current has caused a first-level adverse effect on the patient, and the treatment current needs to be reduced by 10%; When TZJ > 0.95, it means that the current has caused a second-level adverse effect on the patient, and the treatment needs to be suspended for a second check.

10. A non-invasive treatment method for hemorrhoids based on micro-current electrolysis, characterized in that: The non-invasive treatment method for hemorrhoids based on microcurrent electrolysis is carried out through any of the themes described in the above claims 1-9, and the specific steps are as follows: S1. The image data of the patient is collected through the treatment area positioning module (1), the collected image data is analyzed to identify the lesion area of the patient, and accurate positioning is carried out. Using image processing algorithms, the accuracy of the treatment area is ensured to provide basic data for subsequent treatment; S2. The current intensity adjustment module (2) collects the real-time current data of the treatment instrument, monitors the current output during the treatment process in real time through a current sensor, and performs real-time analysis and processing according to the collected current data to ensure that the setting of the initial current intensity meets the treatment requirements. The system automatically adjusts the current intensity according to the individual differences and treatment responses of the patients to ensure the best treatment effect and avoid discomfort or insufficient efficacy caused by too high or too low current intensity; S3. The local heating module (3) collects the temperature data of the patient's treatment area through a sensor. According to the collected temperature data, the system analyzes and judges whether it is necessary to locally heat the treatment area. If the temperature of the treatment area is low, or there is inflammation or poor blood circulation, the system will automatically determine and start the heating program to improve the treatment effect. The heating temperature range and duration are dynamically adjusted by the system according to the patient's real-time situation; S4. The intelligent control module (4) integrates the functions of collecting and analyzing multiple physiological parameters. The system analyzes the physiological feedback data of the patient and the working state of the instrument to judge the change demand of the current intensity during the treatment process in real time. According to the feedback data of the patient, the system intelligently adjusts the current intensity to ensure that the current intensity is always maintained within a safe and effective range during the treatment process. If the system detects that the current intensity may have an adverse effect on the patient, it will automatically reduce the current intensity or suspend the treatment for reexamination; S5. The feedback monitoring module (5) continuously monitors and records various collected data during the treatment process, including current intensity, temperature data, patient physiological feedback, etc. These data are used to adjust the treatment parameters in real time and provide data support for the optimization of subsequent treatment plans. All treatment data will be archived and recorded in the system database. This data can be used by doctors to analyze the treatment progress of patients and help optimize future treatment plans. Through the accumulation of long-term feedback data, the system can continuously optimize the treatment plan and improve the treatment effect.

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