Raman-selectable pulsed fiber laser for acne treatment

Abstract

The application discloses a Raman selectable pulse fiber laser for acne treatment and relates to the technical field of biomedical engineering treatment, and comprises a hemorrhoid treatment effect monitoring data acquisition module, a hemorrhoid treatment effect monitoring data optimization module, a wavelength precision prediction module, a pulse uniformity prediction module, a laser beam quality evaluation module, a fiber transmission detection module, a hemorrhoid treatment effect evaluation module, a hemorrhoid treatment effect correction module and a Raman selectable pulse fiber laser optimization module. The Raman selectable pulse fiber laser is combined with a random forest algorithm, a neural network algorithm, a multiple linear regression algorithm and a convolutional neural network algorithm to evaluate and calibrate the hemorrhoid treatment effect. The data entry technology, the random forest algorithm, the neural network algorithm, the multiple linear regression algorithm, the convolutional neural network algorithm and the hemorrhoid treatment effect evaluation and calibration technology in the application are closely combined with modern information technology, and the precision of the hemorrhoid treatment effect based on the Raman selectable pulse fiber laser is improved.

Description

Technical Field

[0001] This invention relates to the field of biomedical engineering and treatment technology, specifically to a Raman selective pulsed fiber laser for the treatment of acne. Background Technology

[0002] In the field of biomedical engineering, laser technology for acne treatment faces key challenges in improving precision and efficacy. Traditional Raman selective pulsed fiber lasers have significant limitations in acne treatment, lacking monitoring of multi-dimensional parameter data, resulting in a lack of comprehensive data support for treatment plan adjustments. Furthermore, traditional hemorrhoid treatments based on Raman selective pulsed fiber lasers rely solely on physician experience or simple physical indicators, failing to dynamically link laser parameters and treatment effects through quantitative models. Their intelligent control capabilities are insufficient, and the lack of calibration mechanisms increases the risk of large fluctuations in efficacy. With the cross-integration of biomedicine and intelligent algorithms, existing technologies urgently need to overcome the data silos and experience-dependent limitations of traditional equipment to provide more precise, safe, and efficient laser treatment solutions for acne, thereby further promoting the intelligent upgrading of laser treatment technology in the field of biomedical engineering.

[0003] Traditional Raman selective pulsed fiber lasers for acne treatment struggle to monitor and regulate treatment efficacy across multiple dimensions, leading to suboptimal results. Therefore, it is crucial to comprehensively evaluate acne treatment efficacy by considering factors such as wavelength accuracy, Raman scattering, pulse uniformity, laser beam quality, and fiber optic transmission. Furthermore, this evaluation should incorporate physiological data on hemorrhoids to correct for these factors, thereby improving the accuracy of efficacy assessment. Ultimately, this will allow for appropriate regulation of the Raman selective pulsed fiber laser used in acne treatment, addressing the shortcomings of traditional acne treatment techniques. Summary of the Invention

[0004] To achieve the above objectives, the present invention is implemented through the following technical solution: a Raman selective pulse fiber laser for acne treatment, comprising a hemorrhoid treatment efficacy monitoring data acquisition module, a hemorrhoid treatment efficacy monitoring data optimization module, a wavelength accuracy prediction module, a pulse uniformity prediction module, a laser beam quality assessment module, an optical fiber transmission detection module, a hemorrhoid treatment efficacy assessment module, a hemorrhoid treatment efficacy correction module, and a Raman selective pulse fiber laser optimization module, wherein each module is communicatively connected;

[0005] The hemorrhoid treatment efficacy monitoring data acquisition module is used to collect hemorrhoid treatment efficacy monitoring data, which includes laser data, pulse data, transmission fiber data, light energy conversion data, and hemorrhoid recovery physiological monitoring data, providing a data foundation for the implementation of subsequent module functions;

[0006] The hemorrhoid treatment efficacy monitoring data optimization module is used to calculate laser optimization data, pulse optimization data, transmission fiber optimization data, and optical energy conversion optimization data, laying the foundation for obtaining the wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser.

[0007] The wavelength accuracy prediction module combines laser optimization data, optical energy conversion optimization data, pulse data, and transmission fiber data, and uses a random forest algorithm to construct a wavelength accuracy prediction model to obtain the wavelength accuracy of Raman selectable pulse fiber lasers.

[0008] The pulse uniformity prediction module constructs a pulse uniformity prediction model by combining pulse optimization data and laser optimization data with a neural network algorithm, and then outputs the pulse uniformity of the Raman selectable pulse fiber laser.

[0009] The laser beam quality assessment module uses laser optimization data and laser data, combined with a weighted average method, to calculate the laser beam quality of Raman selectable pulse fiber lasers.

[0010] The fiber optic transmission detection module calculates the fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser by using laser optimization data and transmission fiber optimization data.

[0011] The hemorrhoid treatment efficacy evaluation module integrates the wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient of Raman selectable pulse fiber lasers. It uses a multiple linear regression algorithm to construct a hemorrhoid treatment efficacy monitoring model and outputs a corresponding hemorrhoid treatment efficacy index, thus achieving the goal of accurately evaluating the efficacy of hemorrhoid treatment by comprehensively considering multiple factors.

[0012] The hemorrhoid treatment efficacy correction module combines hemorrhoid recovery physiological monitoring data with convolutional neural network algorithms to construct a hemorrhoid treatment efficacy correction model and output a corresponding hemorrhoid treatment efficacy correction index. This calibrates the hemorrhoid treatment efficacy index, improving the accuracy of hemorrhoid treatment efficacy assessment results and reducing errors in subsequent hemorrhoid treatment.

[0013] The Raman-selectable pulsed fiber laser optimization module evaluates the efficacy level of hemorrhoid treatment using the Raman-selectable pulsed fiber laser based on the calibrated hemorrhoid treatment efficacy index, and takes corresponding measures to improve the Raman-selectable pulsed fiber laser.

[0014] A further improvement to the technical solution of this invention lies in the hemorrhoid treatment efficacy monitoring data acquisition module, wherein the data acquisition process for hemorrhoid treatment efficacy monitoring includes:

[0015] Different types of data acquisition devices are deployed, and data entry technology and visual simulation scoring methods are combined to collect data on the efficacy of hemorrhoid treatment. The data acquisition devices include spectrometers, power meters, beam profilers, laser beam quality analyzers, optical power meters, laser energy meters, frequency counters, pulse width meters, fiber optic length meters, laser power meters, spectrometers, photodetectors, high-speed signal acquisition devices, main control computers, anoscopes, smart nursing pads, and anal manometers.

[0016] Laser data includes the actual center wavelength, output laser intensity, output laser spot diameter and energy width, actual far-field divergence angle, actual beam waist radius, and incident and reflected power at the notch of the Raman selective pulsed fiber laser; pulse data includes the real-time pulse energy, real-time pulse repetition frequency, adjacent pulse interval time, and real-time pulse width of the Raman selective pulsed fiber laser; transmission fiber data includes the length, input power, and output power of the transmission fiber of the Raman selective pulsed fiber laser, as well as the spectral linewidth of the optical signal in the transmission fiber; optical energy conversion data includes the Stokes light energy and total output energy of the Raman selective pulsed fiber laser; and hemorrhoid recovery physiological monitoring data includes the real-time bleeding volume, number of bleeding episodes within 24 hours, pain score, sphincter tone, and size and number of hemorrhoids in patients undergoing hemorrhoid treatment.

[0017] Specifically, using a spectrometer and power meter, the actual center wavelength and output laser intensity of the Raman-selectable pulsed fiber laser were collected; using a beam profiler, the diameter and energy width of the output laser spot, as well as the actual far-field dispersion angle of the output laser beam, were collected; using a laser beam quality analyzer and optical power meter, the actual beam waist radius and its incident and reflected power at the notch were collected; using a laser energy meter, frequency counter, and pulse width meter, various pulse data were collected; using a fiber length meter, laser power meter, and spectrometer, various pulse data were collected. The system transmits fiber optic data; combines a spectral analyzer, photodetector, high-speed signal acquisition unit, and main control computer to acquire Stokes light energy from a Raman selective pulse fiber laser; uses a laser energy meter to acquire the total output energy of the Raman selective pulse fiber laser; combines an anoscope and intelligent nursing pads to acquire real-time bleeding volume in hemorrhoid treatment patients; uses an anoscope and an anal manometer to acquire the size and number of hemorrhoids and sphincter tone in hemorrhoid treatment patients; uses a visual analog scale to acquire pain scores in hemorrhoid treatment patients; and uses electronic nursing record spreadsheets combined with data entry technology to acquire the number of bleeding episodes within 24 hours in hemorrhoid treatment patients.

[0018] The collected hemorrhoid treatment efficacy monitoring data were cleaned and standardized. Timestamps were assigned to each hemorrhoid treatment efficacy monitoring data point, and the assigned timestamps were adjusted to synchronize the collection time of each hemorrhoid treatment efficacy monitoring data point. The preprocessed laser data, pulse data, transmission fiber data, optical energy conversion data, and hemorrhoid recovery physiological monitoring data were integrated to generate a hemorrhoid treatment efficacy monitoring dataset.

[0019] A further improvement to the technical solution of this invention lies in the hemorrhoid treatment efficacy monitoring data optimization module, wherein the calculation process of laser optimization data includes:

[0020] The laser optimization data includes the output laser center wavelength deviation of the Raman selectable pulse fiber laser, the fluctuation range of the output laser center wavelength within 1 minute and 2 hours, the laser spot energy density consistency coefficient, the laser beam quality factor, and the return loss value.

[0021] Given the theoretical output laser wavelength and ideal beam waist radius of the Raman selectable pulse fiber laser, the center wavelength deviation of the output laser of the Raman selectable pulse fiber laser is calculated by using the absolute value of the difference between the theoretical output laser wavelength and the actual center wavelength of the output laser.

[0022] The maximum and minimum center wavelengths of the output laser from the Raman selectable pulse fiber laser within 1 minute and 2 hours were extracted respectively. The difference between the maximum and minimum center wavelengths of the output laser within 1 minute and the difference between the maximum and minimum center wavelengths of the output laser within 2 hours were calculated to obtain the fluctuation range of the center wavelength of the output laser from the Raman selectable pulse fiber laser within 1 minute and 2 hours.

[0023] The maximum and minimum energy widths of the output laser spot of the Raman selectable pulse fiber laser are extracted, and then the laser spot energy density uniformity coefficient of the Raman selectable pulse fiber laser is calculated.

[0024] By using the actual center wavelength of the output laser and the ideal beam waist radius of the output laser beam of the Raman selectable pulse fiber laser, the far-field dispersion angle of the ideal output laser beam of the Raman selectable pulse fiber laser is calculated. Combining the actual far-field dispersion angle and the actual beam waist radius of the output laser beam of the Raman selectable pulse fiber laser, the laser beam quality factor of the Raman selectable pulse fiber laser is calculated.

[0025] By using the incident and reflected power of the output laser beam of the Raman selectable pulse fiber laser at the notch, the return loss value of the Raman selectable pulse fiber laser is calculated, and the obtained laser optimization data is integrated into the hemorrhoid treatment efficacy monitoring dataset.

[0026] A further improvement to the technical solution of this invention lies in the fact that the calculation process of the hemorrhoid treatment efficacy monitoring data optimization module, including pulse optimization data, transmission fiber optimization data, and optical energy conversion optimization data, comprises:

[0027] Pulse optimization data includes the standard deviation of pulse energy, percentage of pulse repetition frequency error, standard deviation of adjacent pulse interval time, and pulse instability of Raman selectable pulsed fiber lasers.

[0028] The optical fiber optimization data includes the optical signal transmission attenuation coefficient of the Raman selectable pulsed fiber laser; the optical energy conversion optimization data is the Raman scattering efficiency.

[0029] The number of real-time pulse energy, the number of adjacent pulse intervals, and the real-time pulse width of the Raman selectable pulse fiber laser were statistically analyzed. The average real-time pulse energy, the average adjacent pulse interval, and the average real-time pulse width of the Raman selectable pulse fiber laser were calculated. Combined with the standard deviation formula, the standard deviation of the pulse energy and the standard deviation of the adjacent pulse interval were calculated.

[0030] The standard pulse repetition frequency of the Raman selectable pulse fiber laser is set, and the pulse repetition frequency error percentage of the Raman selectable pulse fiber laser is calculated by combining the real-time pulse repetition frequency of the Raman selectable pulse fiber laser.

[0031] By combining the real-time average pulse width and the real-time pulse width of the Raman selectable pulse fiber laser, the pulse instability of the Raman selectable pulse fiber laser is calculated.

[0032] By using the length of the transmission fiber, input power, and output power of the Raman-selectable pulsed fiber laser, the optical signal transmission attenuation coefficient of the Raman-selectable pulsed fiber laser can be calculated.

[0033] The proportion of Stokes light energy in the total output energy of a Raman selectable pulsed fiber laser is calculated to obtain the Raman scattering efficiency.

[0034] The acquired pulse optimization data, transmission fiber optimization data, and optical energy conversion optimization data are integrated into the hemorrhoid treatment efficacy monitoring dataset.

[0035] A further improvement to the technical solution of this invention lies in the wavelength accuracy prediction module, which constructs a wavelength accuracy prediction model and obtains the wavelength accuracy of the Raman selectable pulse fiber laser, including the following process:

[0036] The Raman scattering efficiency, real-time pulse repetition frequency, and spectral linewidth of the optical signal in the transmission fiber were extracted from the Raman selectable pulsed fiber laser data set for monitoring the efficacy of hemorrhoid treatment. The extracted data were then converted into a first training set and a first test set with a ratio of 8:2.

[0037] Using the random forest algorithm, the first training set data is used as input, and the wavelength accuracy of the Raman selectable pulse fiber laser is used as output. The nonlinear relationship between the first training set data and the wavelength accuracy of the Raman selectable pulse fiber laser is learned, and the wavelength accuracy prediction model is trained.

[0038] The first test set data is input into the wavelength accuracy prediction model. The wavelength accuracy prediction model parameters are adjusted through the RMSprop optimizer to optimize the performance of the wavelength accuracy prediction model and obtain the final wavelength accuracy prediction model.

[0039] The wavelength deviation of the output laser center wavelength, the fluctuation range of the output laser center wavelength within 1 minute and 2 hours, the Raman scattering efficiency, the real-time pulse repetition frequency, and the spectral linewidth of the optical signal in the transmission fiber of the Raman selective pulse fiber laser in the current hemorrhoid treatment efficacy monitoring dataset are input into the wavelength accuracy prediction model to obtain the corresponding wavelength accuracy of the Raman selective pulse fiber laser. The wavelength accuracy of the Raman selective pulse fiber laser is then integrated into the hemorrhoid treatment efficacy monitoring dataset.

[0040] A further improvement to the technical solution of this invention lies in the fact that the pulse uniformity prediction module, in constructing a pulse uniformity prediction model and outputting the pulse uniformity of the Raman selectable pulse fiber laser, includes the following process:

[0041] The pulse optimization data and laser spot energy density consistency coefficient of the Raman selectable pulse fiber laser were extracted from the hemorrhoid treatment efficacy monitoring dataset. The extracted data were divided into a second training set and a second test set in a 7:3 ratio.

[0042] A neural network algorithm is used, with the second training set data as input and the pulse uniformity of the Raman selectable pulse fiber laser as output, to learn the nonlinear relationship between the second training set data and the pulse uniformity of the Raman selectable pulse fiber laser, and to train the pulse uniformity prediction model.

[0043] The second test set data is input into the pulse uniformity prediction model. The SGD optimizer is used to adjust the pulse uniformity prediction model parameters, optimize the pulse uniformity prediction model performance, and obtain the final pulse uniformity prediction model.

[0044] The pulse optimization data and laser spot energy density consistency coefficient of the current Raman selectable pulse fiber laser are input into the pulse uniformity prediction model, and the corresponding pulse uniformity of the Raman selectable pulse fiber laser is output. This pulse uniformity is then integrated into the hemorrhoid treatment efficacy monitoring dataset.

[0045] A further improvement to the technical solution of this invention lies in the laser beam quality assessment module and the fiber optic transmission detection module. The calculation process for the laser beam quality and fiber optic transmission smoothness coefficient of the Raman selectable pulse fiber laser includes:

[0046] Based on the laser parameter requirements for hemorrhoid treatment, the laser beam quality factor, output laser intensity, and output laser spot diameter of the Raman selectable pulse fiber laser are assigned weights, and the laser beam quality of the Raman selectable pulse fiber laser is calculated using a weighted average method.

[0047] The process of calculating the fiber transmission smoothness coefficient of a Raman-selectable pulsed fiber laser, taking into account the return loss value, optical signal transmission attenuation coefficient, and fiber length, is as follows:

[0048]

[0049] in, For Raman spectroscopy, the fiber transmission smoothness factor of the pulsed fiber laser can be selected; , and These are the return loss value, optical signal transmission attenuation coefficient, and transmission fiber length of the Raman selectable pulsed fiber laser, respectively. and This is the normalization constant;

[0050] The laser beam quality and fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser were integrated into the hemorrhoid treatment efficacy monitoring dataset.

[0051] A further improvement to the technical solution of this invention lies in the process of constructing a hemorrhoid treatment efficacy evaluation module, which builds a hemorrhoid treatment efficacy monitoring model, and outputs a corresponding hemorrhoid treatment efficacy index, including:

[0052] The Raman spectroscopy parameters of the selected pulsed fiber laser, including wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient, were extracted from the hemorrhoid treatment efficacy monitoring dataset. The extracted data were then converted into a third training set and a third test set in a 6:4 ratio.

[0053] Using a multiple linear regression algorithm, the third training set data is used as input, and the hemorrhoid treatment efficacy index is used as output. The linear relationship between the wavelength accuracy, pulse uniformity, laser beam quality, fiber transmission smoothness coefficient of Raman selectable pulse fiber laser and the hemorrhoid treatment efficacy index is learned, and the hemorrhoid treatment efficacy monitoring model is trained.

[0054] The data from the third test set is input into the hemorrhoid treatment efficacy monitoring model. The regression coefficients and intercept terms of the hemorrhoid treatment efficacy monitoring model are adjusted to optimize its performance. The final hemorrhoid treatment efficacy monitoring model is obtained. Combining the wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient of the current Raman selectable pulse fiber laser, the corresponding hemorrhoid treatment efficacy index is output.

[0055] A further improvement to the technical solution of this invention lies in the hemorrhoid treatment efficacy correction module, which constructs a hemorrhoid treatment efficacy correction model, outputs a corresponding hemorrhoid treatment efficacy correction index, and calibrates the hemorrhoid treatment efficacy index, including the following process:

[0056] Hemorrhoid recovery physiological monitoring data were extracted from the hemorrhoid treatment efficacy monitoring dataset and divided into a fourth training set and a fourth test set, with a ratio of 5:5.

[0057] Using a convolutional neural network algorithm, the fourth training set data is used as input and the hemorrhoid treatment efficacy correction index is used as output. The nonlinear relationship between the real-time bleeding volume, number of bleeding within 24 hours, pain score, sphincter tone, size and number of hemorrhoids and the hemorrhoid treatment efficacy correction index is learned, and the hemorrhoid treatment efficacy correction model is trained.

[0058] The data from the fourth test set was input into the hemorrhoid treatment efficacy correction model. The Adam optimizer was used to adjust the parameters of the hemorrhoid treatment efficacy correction model, optimize the performance of the hemorrhoid treatment efficacy correction model, obtain the final hemorrhoid treatment efficacy correction model, and output the corresponding hemorrhoid treatment efficacy correction index by combining the current physiological monitoring data of hemorrhoid recovery.

[0059] When the hemorrhoid treatment efficacy correction index is below 0.2, no calibration is performed; when the hemorrhoid treatment efficacy correction index is between 0.2 and 0.6, it is based on... The formula is used to calibrate the hemorrhoid treatment efficacy index; when the hemorrhoid treatment efficacy correction index is higher than 0.6, it is based on... The formula calibrates the efficacy index of hemorrhoid treatment, in which... The calibrated hemorrhoid treatment efficacy index. A correction index for the efficacy of hemorrhoid treatment. The efficacy index of hemorrhoid treatment before calibration.

[0060] A further improvement to the technical solution of this invention lies in the Raman-selectable pulsed fiber laser optimization module. The process of evaluating the therapeutic efficacy level of the Raman-selectable pulsed fiber laser for hemorrhoid treatment and taking corresponding measures to improve the Raman-selectable pulsed fiber laser includes:

[0061] When the calibrated hemorrhoid treatment efficacy index is between 0 and 0.4, it indicates that the Raman selective pulse fiber laser is at a low level of hemorrhoid treatment efficacy. By comparing the parameters of most current Raman selective pulse fiber lasers with those of a Raman selective pulse fiber laser under normal operating conditions, hardware faults in the Raman selective pulse fiber laser are investigated. The wavelength is adjusted to the water absorption peak to reduce thermal damage. Through multidisciplinary debugging, the selective photothermal effect of the laser wavelength emitted by the Raman selective pulse fiber laser on hemorrhoid tissue is verified. When the calibrated hemorrhoid treatment efficacy index is between 0.4 and 0.6, it indicates that the Raman selective pulse fiber laser is at a general level of hemorrhoid treatment efficacy. The actual output laser center wavelength of the Raman selective pulse fiber laser is remeasured. The optical path was calibrated and fiber optic components were replaced to correct the deviation of the actual output laser center wavelength of the laser. When the calibrated hemorrhoid treatment efficacy index was between 0.6 and 0.8, it indicated that the Raman selective pulse fiber laser was at a good level of hemorrhoid treatment efficacy. The correlation between hemorrhoid recovery physiological monitoring data and Raman selective pulse fiber laser parameters was analyzed. Differentiated treatment plans were formulated for different types of hemorrhoids, and the depth and range of laser action were improved by dynamically adjusting the laser output. When the calibrated hemorrhoid treatment efficacy index was between 0.8 and 1, it indicated that the Raman selective pulse fiber laser was at an excellent level of hemorrhoid treatment efficacy. The adaptability of Raman selective pulse fiber laser parameters to individual differences was explored, and the Raman selective pulse fiber laser parameters were calibrated regularly to maintain the current level of hemorrhoid treatment efficacy.

[0062] The beneficial effects of this invention are as follows: Compared to traditional Raman-selective pulsed fiber lasers used for acne treatment, the Raman-selective pulsed fiber laser in this invention integrates data entry technology, random forest algorithm, neural network algorithm, multiple linear regression algorithm, convolutional neural network algorithm, and acne treatment efficacy evaluation and calibration technology with modern information technology. By using laser data, pulse data, transmission fiber data, optical energy conversion data, and hemorrhoid recovery physiological monitoring data, wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient are obtained, thereby acquiring the hemorrhoid treatment efficacy index and hemorrhoid treatment efficacy calibration. The positive index significantly improves the accuracy of treatment efficacy for hemorrhoid patients during acne treatment based on Raman selective pulse fiber lasers. It solves the problem that traditional Raman selective pulse fiber lasers for acne treatment are difficult to monitor and regulate the efficacy of acne treatment by combining multiple dimensions, resulting in poor treatment efficacy. This invention ensures that the method can refine the dynamic monitoring standards of Raman selective pulse fiber lasers for acne treatment within a more precise range, making the monitored data more accurate indicators under the same conditions. The development and application of this method significantly enhances the intelligence level of the acne treatment process based on Raman selective pulse fiber lasers. Attached Figure Description

[0063] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0064] Figure 1 This is a block diagram of the Raman selectable pulsed fiber laser for acne treatment according to the present invention. Detailed Implementation

[0065] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0066] like Figure 1As shown, the present invention provides a Raman selective pulse fiber laser for acne treatment, including a hemorrhoid treatment efficacy monitoring data acquisition module, a hemorrhoid treatment efficacy monitoring data optimization module, a wavelength accuracy prediction module, a pulse uniformity prediction module, a laser beam quality assessment module, an optical fiber transmission detection module, a hemorrhoid treatment efficacy assessment module, a hemorrhoid treatment efficacy correction module, and a Raman selective pulse fiber laser optimization module, wherein the various modules are communicatively connected;

[0067] The hemorrhoid treatment efficacy monitoring data acquisition module is used to collect hemorrhoid treatment efficacy monitoring data, which includes laser data, pulse data, transmission fiber data, light energy conversion data, and hemorrhoid recovery physiological monitoring data, providing a data foundation for the implementation of subsequent module functions;

[0068] The hemorrhoid treatment efficacy monitoring data optimization module is used to calculate laser optimization data, pulse optimization data, transmission fiber optimization data, and optical energy conversion optimization data, laying the foundation for obtaining the wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser.

[0069] The wavelength accuracy prediction module combines laser optimization data, optical energy conversion optimization data, pulse data, and transmission fiber data, and uses a random forest algorithm to construct a wavelength accuracy prediction model to obtain the wavelength accuracy of Raman selectable pulse fiber lasers.

[0070] The pulse uniformity prediction module constructs a pulse uniformity prediction model by combining pulse optimization data and laser optimization data with a neural network algorithm, and then outputs the pulse uniformity of the Raman selectable pulse fiber laser.

[0071] The laser beam quality assessment module uses laser optimization data and laser data, combined with a weighted average method, to calculate the laser beam quality of Raman selectable pulse fiber lasers.

[0072] The fiber optic transmission detection module calculates the fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser by using laser optimization data and transmission fiber optimization data.

[0073] The hemorrhoid treatment efficacy evaluation module integrates the wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient of Raman selectable pulse fiber lasers. It uses a multiple linear regression algorithm to construct a hemorrhoid treatment efficacy monitoring model and outputs a corresponding hemorrhoid treatment efficacy index, thus achieving the goal of accurately evaluating the efficacy of hemorrhoid treatment by comprehensively considering multiple factors.

[0074] The hemorrhoid treatment efficacy correction module combines hemorrhoid recovery physiological monitoring data with convolutional neural network algorithms to construct a hemorrhoid treatment efficacy correction model and output a corresponding hemorrhoid treatment efficacy correction index. This calibrates the hemorrhoid treatment efficacy index, improving the accuracy of hemorrhoid treatment efficacy assessment results and reducing errors in subsequent hemorrhoid treatment.

[0075] The Raman-selectable pulsed fiber laser optimization module evaluates the efficacy level of hemorrhoid treatment using the Raman-selectable pulsed fiber laser based on the calibrated hemorrhoid treatment efficacy index, and takes corresponding measures to improve the Raman-selectable pulsed fiber laser.

[0076] The hemorrhoid treatment efficacy monitoring data collection module includes the following process:

[0077] Different types of data acquisition devices are deployed, and data entry technology and visual simulation scoring methods are combined to collect data on the efficacy of hemorrhoid treatment. The data acquisition devices include spectrometers, power meters, beam profilers, laser beam quality analyzers, optical power meters, laser energy meters, frequency counters, pulse width meters, fiber optic length meters, laser power meters, spectrometers, photodetectors, high-speed signal acquisition devices, main control computers, anoscopes, smart nursing pads, and anal manometers.

[0078] Laser data includes the actual center wavelength, output laser intensity, output laser spot diameter and energy width, actual far-field divergence angle, actual beam waist radius, and incident and reflected power at the notch of the Raman selective pulsed fiber laser; pulse data includes the real-time pulse energy, real-time pulse repetition frequency, adjacent pulse interval time, and real-time pulse width of the Raman selective pulsed fiber laser; transmission fiber data includes the length, input power, and output power of the transmission fiber of the Raman selective pulsed fiber laser, as well as the spectral linewidth of the optical signal in the transmission fiber; optical energy conversion data includes the Stokes light energy and total output energy of the Raman selective pulsed fiber laser; and hemorrhoid recovery physiological monitoring data includes the real-time bleeding volume, number of bleeding episodes within 24 hours, pain score, sphincter tone, and size and number of hemorrhoids in patients undergoing hemorrhoid treatment.

[0079] Specifically, using a spectrometer and power meter, the actual center wavelength and output laser intensity of the Raman-selectable pulsed fiber laser were collected; using a beam profiler, the diameter and energy width of the output laser spot, as well as the actual far-field dispersion angle of the output laser beam, were collected; using a laser beam quality analyzer and optical power meter, the actual beam waist radius and its incident and reflected power at the notch were collected; using a laser energy meter, frequency counter, and pulse width meter, various pulse data were collected; using a fiber length meter, laser power meter, and spectrometer, various pulse data were collected. The system transmits fiber optic data; combines a spectral analyzer, photodetector, high-speed signal acquisition unit, and main control computer to acquire Stokes light energy from a Raman selective pulse fiber laser; uses a laser energy meter to acquire the total output energy of the Raman selective pulse fiber laser; combines an anoscope and intelligent nursing pads to acquire real-time bleeding volume in hemorrhoid treatment patients; uses an anoscope and an anal manometer to acquire the size and number of hemorrhoids and sphincter tone in hemorrhoid treatment patients; uses a visual analog scale to acquire pain scores in hemorrhoid treatment patients; and uses electronic nursing record spreadsheets combined with data entry technology to acquire the number of bleeding episodes within 24 hours in hemorrhoid treatment patients.

[0080] The collected hemorrhoid treatment efficacy monitoring data were cleaned and standardized. Timestamps were assigned to each hemorrhoid treatment efficacy monitoring data point, and the assigned timestamps were adjusted to synchronize the collection time of each hemorrhoid treatment efficacy monitoring data point. The preprocessed laser data, pulse data, transmission fiber data, optical energy conversion data, and hemorrhoid recovery physiological monitoring data were integrated to generate a hemorrhoid treatment efficacy monitoring dataset.

[0081] The hemorrhoid treatment efficacy monitoring data optimization module includes the following calculation process for laser optimization data:

[0082] The laser optimization data includes the output laser center wavelength deviation of the Raman selectable pulse fiber laser, the fluctuation range of the output laser center wavelength within 1 minute and 2 hours, the laser spot energy density consistency coefficient, the laser beam quality factor, and the return loss value.

[0083] Given the theoretical output laser wavelength and ideal beam waist radius of the Raman selectable pulse fiber laser, the center wavelength deviation of the output laser of the Raman selectable pulse fiber laser is calculated by using the absolute value of the difference between the theoretical output laser wavelength and the actual center wavelength of the output laser.

[0084] The maximum and minimum center wavelengths of the output laser from the Raman selectable pulse fiber laser within 1 minute and 2 hours were extracted respectively. The difference between the maximum and minimum center wavelengths of the output laser within 1 minute and the difference between the maximum and minimum center wavelengths of the output laser within 2 hours were calculated to obtain the fluctuation range of the center wavelength of the output laser from the Raman selectable pulse fiber laser within 1 minute and 2 hours.

[0085] The maximum and minimum energy widths of the output laser spot of the Raman selectable pulsed fiber laser are extracted, and then the laser spot energy density uniformity coefficient of the Raman selectable pulsed fiber laser is calculated. The calculation process is as follows:

[0086]

[0087] in, For Raman spectroscopy, the laser spot energy density uniformity coefficient of the pulsed fiber laser can be selected. and These represent the maximum and minimum energy widths of the output laser spot of a Raman selectable pulse fiber laser, respectively.

[0088] By using the actual center wavelength and ideal beam waist radius of the output laser of a Raman-selectable pulsed fiber laser, the ideal far-field dispersion angle of the output laser beam is calculated. Then, combining this with the actual far-field dispersion angle and actual beam waist radius of the output laser beam, the laser beam quality factor of the Raman-selectable pulsed fiber laser is calculated. The calculation process for the laser beam quality factor includes:

[0089]

[0090]

[0091] in, For Raman spectroscopy, the beam quality factor of the pulsed fiber laser can be selected. , , , , These are the actual center wavelength of the output laser of the Raman selectable pulsed fiber laser, the ideal beam waist radius of the output laser beam, the actual beam waist radius of the output laser beam, the ideal far-field dispersion angle of the output laser beam, and the actual far-field dispersion angle of the output laser beam, respectively.

[0092] By analyzing the incident and reflected power of the output laser beam at the notch of the Raman-selectable pulsed fiber laser, the return loss value of the Raman-selectable pulsed fiber laser is calculated. The obtained laser optimization data is then integrated into a hemorrhoid treatment efficacy monitoring dataset. The formula for calculating the return loss value of the Raman-selectable pulsed fiber laser is as follows:

[0093]

[0094] in, For Raman spectroscopy, the return loss value of the pulsed fiber laser can be selected. and These represent the incident power and reflected power of the output laser beam at the notch of a Raman selectable pulse fiber laser, respectively.

[0095] The calculation process for pulse optimization data, transmission fiber optimization data, and optical energy conversion optimization data in the hemorrhoid treatment efficacy monitoring data optimization module includes:

[0096] Pulse optimization data includes the standard deviation of pulse energy, percentage of pulse repetition frequency error, standard deviation of adjacent pulse interval time, and pulse instability of Raman selectable pulsed fiber lasers.

[0097] The optical fiber optimization data includes the optical signal transmission attenuation coefficient of the Raman selectable pulsed fiber laser; the optical energy conversion optimization data is the Raman scattering efficiency.

[0098] The number of real-time pulse energy, the number of adjacent pulse intervals, and the real-time pulse width of the Raman selectable pulse fiber laser were statistically analyzed. The average real-time pulse energy, the average adjacent pulse interval, and the average real-time pulse width of the Raman selectable pulse fiber laser were calculated. Combined with the standard deviation formula, the standard deviation of the pulse energy and the standard deviation of the adjacent pulse interval were calculated.

[0099] By setting the standard pulse repetition frequency of the Raman-selectable pulsed fiber laser and combining it with the real-time pulse repetition frequency of the Raman-selectable pulsed fiber laser, the percentage error of the pulse repetition frequency of the Raman-selectable pulsed fiber laser is calculated. The calculation process includes:

[0100]

[0101] in, For Raman spectroscopy, the pulse repetition rate error percentage of the pulsed fiber laser can be selected. and These are the standard pulse repetition frequency and the real-time pulse repetition frequency of a Raman selectable pulsed fiber laser, respectively.

[0102] By combining the real-time average pulse width and the real-time pulse width of the Raman-selectable pulsed fiber laser, the pulse instability of the Raman-selectable pulsed fiber laser is calculated. The calculation process for this pulse instability is as follows:

[0103]

[0104] in, For Raman spectroscopy, the pulse instability of the pulsed fiber laser can be selected. and These represent the average real-time pulse width and the real-time pulse width of a Raman selectable pulse fiber laser, respectively.

[0105] The optical signal transmission attenuation coefficient of a Raman-selectable pulsed fiber laser is calculated by taking into account the length of the transmission fiber, the input power, and the output power. The calculation process includes:

[0106]

[0107] in, For Raman spectroscopy, the optical signal transmission attenuation coefficient of the pulsed fiber laser can be selected. , and These represent the length of the transmission fiber, input power, and output power of the Raman selectable pulsed fiber laser, respectively.

[0108] The proportion of Stokes light energy in the total output energy of a Raman selectable pulsed fiber laser is calculated to obtain the Raman scattering efficiency.

[0109] The acquired pulse optimization data, transmission fiber optimization data, and optical energy conversion optimization data are integrated into the hemorrhoid treatment efficacy monitoring dataset.

[0110] The wavelength accuracy prediction module constructs a wavelength accuracy prediction model to obtain the wavelength accuracy of a Raman selectable pulse fiber laser. The process includes:

[0111] The Raman scattering efficiency, real-time pulse repetition frequency, and spectral linewidth of the optical signal in the transmission fiber were extracted from the Raman selectable pulsed fiber laser data set for monitoring the efficacy of hemorrhoid treatment. The extracted data were then converted into a first training set and a first test set with a ratio of 8:2.

[0112] Using the random forest algorithm, the first training set data is used as input, and the wavelength accuracy of the Raman selectable pulse fiber laser is used as output. The nonlinear relationship between the first training set data and the wavelength accuracy of the Raman selectable pulse fiber laser is learned, and the wavelength accuracy prediction model is trained.

[0113] The first test set data is input into the wavelength accuracy prediction model. The wavelength accuracy prediction model parameters are adjusted through the RMSprop optimizer to optimize the performance of the wavelength accuracy prediction model and obtain the final wavelength accuracy prediction model.

[0114] The wavelength deviation of the output laser center wavelength, the fluctuation range of the output laser center wavelength within 1 minute and 2 hours, the Raman scattering efficiency, the real-time pulse repetition frequency, and the spectral linewidth of the optical signal in the transmission fiber of the Raman selective pulse fiber laser in the current hemorrhoid treatment efficacy monitoring dataset are input into the wavelength accuracy prediction model to obtain the corresponding wavelength accuracy of the Raman selective pulse fiber laser. The wavelength accuracy of the Raman selective pulse fiber laser is then integrated into the hemorrhoid treatment efficacy monitoring dataset.

[0115] The pulse uniformity prediction module constructs a pulse uniformity prediction model and outputs the pulse uniformity of the Raman selectable pulse fiber laser. The process includes:

[0116] The pulse optimization data and laser spot energy density consistency coefficient of the Raman selectable pulse fiber laser were extracted from the hemorrhoid treatment efficacy monitoring dataset. The extracted data were divided into a second training set and a second test set in a 7:3 ratio.

[0117] A neural network algorithm is used, with the second training set data as input and the pulse uniformity of the Raman selectable pulse fiber laser as output, to learn the nonlinear relationship between the second training set data and the pulse uniformity of the Raman selectable pulse fiber laser, and to train the pulse uniformity prediction model.

[0118] The second test set data is input into the pulse uniformity prediction model. The SGD optimizer is used to adjust the pulse uniformity prediction model parameters, optimize the pulse uniformity prediction model performance, and obtain the final pulse uniformity prediction model.

[0119] The pulse optimization data and laser spot energy density consistency coefficient of the current Raman selectable pulse fiber laser are input into the pulse uniformity prediction model, and the corresponding pulse uniformity of the Raman selectable pulse fiber laser is output. This pulse uniformity is then integrated into the hemorrhoid treatment efficacy monitoring dataset.

[0120] The laser beam quality assessment module and fiber optic transmission detection module, the calculation process for the laser beam quality and fiber optic transmission smoothness coefficient of a Raman selectable pulsed fiber laser includes:

[0121] Based on the laser parameter requirements for hemorrhoid treatment, the laser beam quality factor, output laser intensity, and output laser spot diameter of the Raman selectable pulse fiber laser are weighted and assigned weights. A weighted average method is then used to calculate the laser beam quality of the Raman selectable pulse fiber laser. The calculation process for the laser beam quality of the Raman selectable pulse fiber laser is as follows:

[0122]

[0123] in, For Raman spectroscopy, the laser beam quality of the pulsed fiber laser can be selected; , and These represent the laser beam quality factor, output laser intensity, and output laser spot diameter of a Raman selectable pulsed fiber laser, respectively. , and These are the weights for the laser beam quality factor, output laser intensity, and output laser spot diameter of the Raman selectable pulsed fiber laser, respectively.

[0124] The process of calculating the fiber transmission smoothness coefficient of a Raman-selectable pulsed fiber laser, taking into account the return loss value, optical signal transmission attenuation coefficient, and fiber length, is as follows:

[0125]

[0126] in, For Raman spectroscopy, the fiber transmission smoothness factor of the pulsed fiber laser can be selected; , and These are the return loss value, optical signal transmission attenuation coefficient, and transmission fiber length of the Raman selectable pulsed fiber laser, respectively. and This is the normalization constant;

[0127] The laser beam quality and fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser were integrated into the hemorrhoid treatment efficacy monitoring dataset.

[0128] The hemorrhoid treatment efficacy evaluation module, which constructs a hemorrhoid treatment efficacy monitoring model and outputs the corresponding hemorrhoid treatment efficacy index, includes the following steps:

[0129] The Raman spectroscopy parameters of the selected pulsed fiber laser, including wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient, were extracted from the hemorrhoid treatment efficacy monitoring dataset. The extracted data were then converted into a third training set and a third test set in a 6:4 ratio.

[0130] Using a multiple linear regression algorithm, the third training set data is used as input, and the hemorrhoid treatment efficacy index is used as output. The linear relationship between the wavelength accuracy, pulse uniformity, laser beam quality, fiber transmission smoothness coefficient of Raman selectable pulse fiber laser and the hemorrhoid treatment efficacy index is learned, and the hemorrhoid treatment efficacy monitoring model is trained.

[0131] The data from the third test set is input into the hemorrhoid treatment efficacy monitoring model. The regression coefficient and intercept term of the hemorrhoid treatment efficacy monitoring model are adjusted to optimize the performance of the hemorrhoid treatment efficacy monitoring model. The final hemorrhoid treatment efficacy monitoring model is obtained. Combined with the wavelength accuracy, pulse uniformity, laser beam quality and fiber transmission smoothness coefficient of the current Raman selectable pulse fiber laser, the corresponding hemorrhoid treatment efficacy index is output.

[0132] The expression for the above hemorrhoid treatment efficacy monitoring model is:

[0133]

[0134] in, The efficacy index for hemorrhoid treatment; , , and These are the wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser, respectively. , , and These are the regression coefficients for the wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser, respectively. and These are the intercept term and error term of the hemorrhoid treatment efficacy monitoring model, respectively.

[0135] The hemorrhoid treatment efficacy correction module constructs a hemorrhoid treatment efficacy correction model, outputs a corresponding hemorrhoid treatment efficacy correction index, and calibrates the hemorrhoid treatment efficacy index. The process includes:

[0136] Hemorrhoid recovery physiological monitoring data were extracted from the hemorrhoid treatment efficacy monitoring dataset and divided into a fourth training set and a fourth test set, with a ratio of 5:5.

[0137] Using a convolutional neural network algorithm, the fourth training set data is used as input and the hemorrhoid treatment efficacy correction index is used as output. The nonlinear relationship between the real-time bleeding volume, number of bleeding within 24 hours, pain score, sphincter tone, size and number of hemorrhoids and the hemorrhoid treatment efficacy correction index is learned, and the hemorrhoid treatment efficacy correction model is trained.

[0138] The data from the fourth test set was input into the hemorrhoid treatment efficacy correction model. The Adam optimizer was used to adjust the parameters of the hemorrhoid treatment efficacy correction model, optimize the performance of the hemorrhoid treatment efficacy correction model, obtain the final hemorrhoid treatment efficacy correction model, and output the corresponding hemorrhoid treatment efficacy correction index by combining the current physiological monitoring data of hemorrhoid recovery.

[0139] When the hemorrhoid treatment efficacy correction index is below 0.2, no calibration is performed; when the hemorrhoid treatment efficacy correction index is between 0.2 and 0.6, it is based on... The formula is used to calibrate the hemorrhoid treatment efficacy index; when the hemorrhoid treatment efficacy correction index is higher than 0.6, it is based on... The formula calibrates the efficacy index of hemorrhoid treatment, in which... The calibrated hemorrhoid treatment efficacy index. A correction index for the efficacy of hemorrhoid treatment. The efficacy index of hemorrhoid treatment before calibration.

[0140] The Raman-selective pulsed fiber laser optimization module evaluates the efficacy level of Raman-selective pulsed fiber lasers in hemorrhoid treatment and takes corresponding measures to improve the Raman-selective pulsed fiber laser. The process includes:

[0141] When the calibrated hemorrhoid treatment efficacy index is between 0 and 0.4, it indicates that the Raman selective pulse fiber laser is at a low level of hemorrhoid treatment efficacy. By comparing the parameters of most current Raman selective pulse fiber lasers with those of a Raman selective pulse fiber laser under normal operating conditions, hardware faults in the Raman selective pulse fiber laser are investigated. The wavelength is adjusted to the water absorption peak to reduce thermal damage. Through multidisciplinary debugging, the selective photothermal effect of the laser wavelength emitted by the Raman selective pulse fiber laser on hemorrhoid tissue is verified. When the calibrated hemorrhoid treatment efficacy index is between 0.4 and 0.6, it indicates that the Raman selective pulse fiber laser is at a general level of hemorrhoid treatment efficacy. The actual output laser center wavelength of the Raman selective pulse fiber laser is remeasured. The optical path was calibrated and fiber optic components were replaced to correct the deviation of the actual output laser center wavelength of the laser. When the calibrated hemorrhoid treatment efficacy index was between 0.6 and 0.8, it indicated that the Raman selective pulse fiber laser was at a good level of hemorrhoid treatment efficacy. The correlation between hemorrhoid recovery physiological monitoring data and Raman selective pulse fiber laser parameters was analyzed. Differentiated treatment plans were formulated for different types of hemorrhoids, and the depth and range of laser action were improved by dynamically adjusting the laser output. When the calibrated hemorrhoid treatment efficacy index was between 0.8 and 1, it indicated that the Raman selective pulse fiber laser was at an excellent level of hemorrhoid treatment efficacy. The adaptability of Raman selective pulse fiber laser parameters to individual differences was explored, and the Raman selective pulse fiber laser parameters were calibrated regularly to maintain the current level of hemorrhoid treatment efficacy.

[0142] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A Raman-selective pulsed fiber laser for acne treatment, comprising a hemorrhoid treatment efficacy monitoring data acquisition module, a hemorrhoid treatment efficacy monitoring data optimization module, a wavelength accuracy prediction module, a pulse uniformity prediction module, a laser beam quality assessment module, an optical fiber transmission detection module, a hemorrhoid treatment efficacy assessment module, a hemorrhoid treatment efficacy correction module, and a Raman-selective pulsed fiber laser optimization module, wherein, The various modules are connected for communication, characterized in that, The hemorrhoid treatment efficacy monitoring data acquisition module is used to collect hemorrhoid treatment efficacy monitoring data, which includes laser data, pulse data, transmission fiber data, light energy conversion data, and hemorrhoid recovery physiological monitoring data. The hemorrhoid treatment efficacy monitoring data optimization module is used to calculate laser optimization data, pulse optimization data, transmission fiber optimization data, and light energy conversion optimization data. The wavelength accuracy prediction module, combining the laser optimization data, the optical energy conversion optimization data, the pulse data, and the transmission fiber data, uses a random forest algorithm to construct a wavelength accuracy prediction model to obtain the wavelength accuracy of the Raman selectable pulse fiber laser. The pulse uniformity prediction module constructs a pulse uniformity prediction model by combining the pulse optimization data and the laser optimization data with a neural network algorithm, and then outputs the pulse uniformity of the Raman selectable pulse fiber laser. The laser beam quality assessment module uses the laser optimization data and the laser data, combined with a weighted average method, to calculate the laser beam quality of the Raman selectable pulse fiber laser. The fiber optic transmission detection module calculates the fiber optic transmission smoothness coefficient of the Raman selectable pulse fiber laser using the laser optimization data and the transmission fiber optimization data. The hemorrhoid treatment efficacy evaluation module integrates the wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser, and uses a multiple linear regression algorithm to construct a hemorrhoid treatment efficacy monitoring model and output the corresponding hemorrhoid treatment efficacy index. The hemorrhoid treatment efficacy correction module combines the hemorrhoid recovery physiological monitoring data with a convolutional neural network algorithm to construct a hemorrhoid treatment efficacy correction model and output a corresponding hemorrhoid treatment efficacy correction index, thereby calibrating the hemorrhoid treatment efficacy index. The Raman-selectable pulsed fiber laser optimization module evaluates the hemorrhoid treatment efficacy level of the Raman-selectable pulsed fiber laser based on the calibrated hemorrhoid treatment efficacy index, and takes corresponding measures to improve the Raman-selectable pulsed fiber laser.

2. The Raman-selectable pulsed fiber laser for acne treatment according to claim 1, characterized in that, The hemorrhoid treatment efficacy monitoring data acquisition module includes the following process for acquiring hemorrhoid treatment efficacy monitoring data: Different types of acquisition devices are deployed, and data entry technology and visual simulation scoring method are combined to collect the monitoring data of hemorrhoid treatment efficacy. The acquisition devices include spectrometer, power meter, beam profiler, laser beam quality analyzer, optical power meter, laser energy meter, frequency counter, pulse width meter, fiber optic length meter, laser power meter, spectrometer, photodetector, high-speed signal acquisition device, main control computer, anoscope, smart nursing pad and anal manometer. The laser data includes the actual center wavelength, output laser intensity, diameter and energy width of the output laser spot, actual far-field dispersion angle, actual beam waist radius, and incident and reflected power at the notch of the Raman selective pulse fiber laser; the pulse data includes the real-time pulse energy, real-time pulse repetition frequency, adjacent pulse interval time, and real-time pulse width of the Raman selective pulse fiber laser; the transmission fiber data includes the length, input power, and output power of the transmission fiber of the Raman selective pulse fiber laser, as well as the spectral linewidth of the optical signal in the transmission fiber; the optical energy conversion data includes the Stokes light energy and total output energy of the Raman selective pulse fiber laser; and the hemorrhoid recovery physiological monitoring data includes the real-time bleeding volume, number of bleeding episodes within 24 hours, pain score, sphincter tension, and size and number of hemorrhoids in patients undergoing hemorrhoid treatment. The collected hemorrhoid treatment efficacy monitoring data are cleaned and standardized. Timestamps are assigned to each hemorrhoid treatment efficacy monitoring data point, and the assigned timestamps are adjusted to synchronize the collection time of each hemorrhoid treatment efficacy monitoring data point. The preprocessed laser data, pulse data, transmission fiber data, optical energy conversion data, and hemorrhoid recovery physiological monitoring data are integrated to generate a hemorrhoid treatment efficacy monitoring dataset.

3. The Raman-selectable pulsed fiber laser for acne treatment according to claim 2, characterized in that, The calculation process of the laser optimization data in the hemorrhoid treatment efficacy monitoring data optimization module includes: The laser optimization data includes the output laser center wavelength deviation of the Raman selectable pulse fiber laser, the fluctuation range of the output laser center wavelength within 1 minute and 2 hours, the laser spot energy density consistency coefficient, the laser beam quality factor, and the return loss value. The theoretical output laser wavelength and ideal beam waist radius of the Raman selectable pulse fiber laser are set. The center wavelength deviation of the output laser of the Raman selectable pulse fiber laser is calculated by using the absolute value of the difference between the theoretical output laser wavelength and the actual center wavelength of the output laser. The maximum and minimum center wavelengths of the output laser from the Raman selectable pulse fiber laser within 1 minute and 2 hours are extracted respectively. The difference between the maximum and minimum center wavelengths of the output laser within 1 minute and the difference between the maximum and minimum center wavelengths of the output laser within 2 hours are calculated to obtain the fluctuation range of the center wavelength of the output laser from the Raman selectable pulse fiber laser within 1 minute and 2 hours. The maximum and minimum energy widths of the output laser spot of the Raman selectable pulse fiber laser are extracted, and then the laser spot energy density uniformity coefficient of the Raman selectable pulse fiber laser is calculated. The ideal far-field dispersion angle of the Raman-selectable pulsed fiber laser beam is calculated using the actual center wavelength and ideal beam waist radius of the output laser beam. The laser beam quality factor of the Raman-selectable pulsed fiber laser beam is then calculated by combining the actual far-field dispersion angle and actual beam waist radius of the output laser beam. The return loss value of the Raman-selectable pulsed fiber laser is calculated by using the incident power and reflected power of the output laser beam at the notch of the Raman-selectable pulsed fiber laser, and the obtained laser optimization data is integrated into the hemorrhoid treatment efficacy monitoring dataset.

4. The Raman-selectable pulsed fiber laser for acne treatment according to claim 3, characterized in that, The calculation process of the pulse optimization data, the transmission fiber optimization data, and the optical energy conversion optimization data in the hemorrhoid treatment efficacy monitoring data optimization module includes: The pulse optimization data includes the standard deviation of pulse energy, percentage of pulse repetition frequency error, standard deviation of adjacent pulse interval time, and pulse instability of the Raman selectable pulse fiber laser. The optical fiber optimization data includes the optical signal transmission attenuation coefficient of the Raman selectable pulsed fiber laser; the optical energy conversion optimization data is the Raman scattering efficiency. The number of real-time pulse energy, the number of adjacent pulse intervals, and the real-time pulse width of the Raman selectable pulse fiber laser are statistically analyzed. The average real-time pulse energy, the average adjacent pulse interval, and the average real-time pulse width of the Raman selectable pulse fiber laser are calculated. Using the standard deviation formula, the standard deviation of the pulse energy and the standard deviation of the adjacent pulse interval of the Raman selectable pulse fiber laser are calculated. The standard pulse repetition frequency of the Raman selectable pulse fiber laser is set, and the pulse repetition frequency error percentage of the Raman selectable pulse fiber laser is calculated by combining the real-time pulse repetition frequency of the Raman selectable pulse fiber laser. By combining the real-time average pulse width and the real-time pulse width of the Raman selectable pulse fiber laser, the pulse instability of the Raman selectable pulse fiber laser is calculated. The optical signal transmission attenuation coefficient of the Raman-selectable pulsed fiber laser is calculated by using the length of the transmission fiber, the input power, and the output power of the Raman-selectable pulsed fiber laser. The Raman scattering efficiency is obtained by calculating the proportion of Stokes light energy in the total output energy of the Raman selectable pulsed fiber laser. The acquired pulse optimization data, transmission fiber optimization data, and optical energy conversion optimization data are integrated into the hemorrhoid treatment efficacy monitoring dataset.

5. The Raman-selectable pulsed fiber laser for acne treatment according to claim 4, characterized in that, The wavelength accuracy prediction module constructs a wavelength accuracy prediction model and obtains the wavelength accuracy of the Raman selectable pulse fiber laser through the following process: Extract the output laser center wavelength deviation, output laser center wavelength fluctuation range within 1 minute and 2 hours, Raman scattering efficiency, real-time pulse repetition frequency, and spectral linewidth of the optical signal in the transmission fiber from the Raman selectable pulse fiber laser in the hemorrhoid treatment efficacy monitoring dataset, and convert the extracted data into a first training set and a first test set. Using the random forest algorithm, the first training set data is taken as input, and the wavelength accuracy of the Raman selectable pulse fiber laser is taken as output. The nonlinear relationship between the first training set data and the wavelength accuracy of the Raman selectable pulse fiber laser is learned, and the wavelength accuracy prediction model is trained. The first test set data is input into the wavelength accuracy prediction model. The parameters of the wavelength accuracy prediction model are adjusted by the RMSprop optimizer to optimize the performance of the wavelength accuracy prediction model and obtain the final wavelength accuracy prediction model. The wavelength deviation of the output laser center wavelength, the fluctuation range of the output laser center wavelength within 1 minute and 2 hours, the Raman scattering efficiency, the real-time pulse repetition frequency, and the spectral linewidth of the optical signal in the transmission fiber of the Raman selective pulse fiber laser in the current hemorrhoid treatment efficacy monitoring dataset are input into the wavelength accuracy prediction model to obtain the corresponding wavelength accuracy of the Raman selective pulse fiber laser, and the wavelength accuracy of the Raman selective pulse fiber laser is integrated into the hemorrhoid treatment efficacy monitoring dataset.

6. The Raman-selectable pulsed fiber laser for acne treatment according to claim 5, characterized in that, The pulse uniformity prediction module constructs a pulse uniformity prediction model and outputs the pulse uniformity of the Raman selectable pulse fiber laser, including the following process: Extract the pulse optimization data and the laser spot energy density consistency coefficient of the Raman selectable pulse fiber laser from the hemorrhoid treatment efficacy monitoring dataset, and divide the extracted data into a second training set and a second test set; Using the neural network algorithm, the second training set data is taken as input, and the pulse uniformity of the Raman selectable pulse fiber laser is taken as output. The nonlinear relationship between the second training set data and the pulse uniformity of the Raman selectable pulse fiber laser is learned, and the pulse uniformity prediction model is trained. The second test set data is input into the pulse uniformity prediction model. The SGD optimizer is used to adjust the parameters of the pulse uniformity prediction model, optimize the performance of the pulse uniformity prediction model, and obtain the final pulse uniformity prediction model. The pulse optimization data and the laser spot energy density consistency coefficient of the current Raman selectable pulse fiber laser are input into the pulse uniformity prediction model, and the corresponding pulse uniformity of the Raman selectable pulse fiber laser is output. The pulse uniformity is then integrated into the hemorrhoid treatment efficacy monitoring dataset.

7. The Raman-selectable pulsed fiber laser for acne treatment according to claim 6, characterized in that, The laser beam quality assessment module and the fiber optic transmission detection module, the calculation process of the laser beam quality and fiber optic transmission smoothness coefficient of the Raman selectable pulse fiber laser includes: Based on the laser parameter requirements for hemorrhoid treatment, the laser beam quality factor, output laser intensity, and output laser spot diameter of the Raman selectable pulse fiber laser are assigned weights respectively, and the laser beam quality of the Raman selectable pulse fiber laser is calculated using a weighted average method. The process of calculating the fiber transmission smoothness coefficient of the Raman-selectable pulsed fiber laser, taking into account the return loss value, optical signal transmission attenuation coefficient, and transmission fiber length, is as follows: in, The fiber transmission smoothness coefficient of the Raman selectable pulsed fiber laser; , and These are the return loss value of the Raman selectable pulsed fiber laser, the optical signal transmission attenuation coefficient, and the length of the transmission fiber, respectively. and This is the normalization constant; The laser beam quality and fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser are integrated into the hemorrhoid treatment efficacy monitoring dataset.

8. The Raman-selectable pulsed fiber laser for acne treatment according to claim 7, characterized in that, The process by which the hemorrhoid treatment efficacy evaluation module constructs a hemorrhoid treatment efficacy monitoring model and outputs a corresponding hemorrhoid treatment efficacy index includes: The wavelength accuracy, pulse uniformity, laser beam quality, and fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser in the hemorrhoid treatment efficacy monitoring dataset are extracted, and the extracted data are converted into a third training set and a third test set. Using the aforementioned multiple linear regression algorithm, the third training set data is taken as input, and the hemorrhoid treatment efficacy index is taken as output. The linear relationship between the wavelength accuracy, pulse uniformity, laser beam quality, fiber transmission smoothness coefficient of the Raman selectable pulse fiber laser and the hemorrhoid treatment efficacy index is learned, thereby training the hemorrhoid treatment efficacy monitoring model. The third test set data is input into the hemorrhoid treatment efficacy monitoring model. The regression coefficient and intercept term of the hemorrhoid treatment efficacy monitoring model are adjusted to optimize the performance of the hemorrhoid treatment efficacy monitoring model. The final hemorrhoid treatment efficacy monitoring model is obtained. Combining the wavelength accuracy, pulse uniformity, laser beam quality and fiber transmission smoothness coefficient of the current Raman selectable pulse fiber laser, the corresponding hemorrhoid treatment efficacy index is output.

9. The Raman-selectable pulsed fiber laser for acne treatment according to claim 8, characterized in that, The hemorrhoid treatment efficacy correction module constructs a hemorrhoid treatment efficacy correction model, outputs a corresponding hemorrhoid treatment efficacy correction index, and calibrates the hemorrhoid treatment efficacy index. The process includes: The hemorrhoid treatment efficacy monitoring dataset is used to extract the hemorrhoid recovery physiological monitoring data, and the extracted hemorrhoid recovery physiological monitoring data is divided into a fourth training set and a fourth test set. Using the convolutional neural network algorithm, the fourth training set data is used as input, and the hemorrhoid treatment efficacy correction index is used as output. The nonlinear relationship between the real-time bleeding volume, number of bleeding events within 24 hours, pain score, sphincter tone, size and number of hemorrhoids and the hemorrhoid treatment efficacy correction index of the hemorrhoid treatment patient is learned, and the hemorrhoid treatment efficacy correction model is trained. The fourth test set data is input into the hemorrhoid treatment efficacy correction model. The Adam optimizer is used to adjust the parameters of the hemorrhoid treatment efficacy correction model, optimize the performance of the hemorrhoid treatment efficacy correction model, obtain the final hemorrhoid treatment efficacy correction model, and output the corresponding hemorrhoid treatment efficacy correction index by combining the current hemorrhoid recovery physiological monitoring data. When the hemorrhoid treatment efficacy correction index is below 0.2, no calibration is performed on the hemorrhoid treatment efficacy index; when the hemorrhoid treatment efficacy correction index is between 0.2 and 0.6, it is based on... The formula is used to calibrate the hemorrhoid treatment efficacy index; when the hemorrhoid treatment efficacy correction index is higher than 0.6, according to... The formula is used to calibrate the hemorrhoid treatment efficacy index, wherein... This is the calibrated hemorrhoid treatment efficacy index. This is a correction index for the efficacy of hemorrhoid treatment. The hemorrhoid treatment efficacy index before calibration.

10. The Raman-selectable pulsed fiber laser for acne treatment according to claim 9, characterized in that, The Raman-selectable pulsed fiber laser optimization module evaluates the efficacy level of the Raman-selectable pulsed fiber laser in hemorrhoid treatment and takes corresponding measures to improve the Raman-selectable pulsed fiber laser. The process includes: When the calibrated hemorrhoid treatment efficacy index is between 0 and 0.4, it indicates that the Raman selective pulse fiber laser has a low hemorrhoid treatment efficacy level. By comparing the parameters of most current Raman selective pulse fiber lasers with those of the Raman selective pulse fiber laser under normal operating conditions, hardware faults in the Raman selective pulse fiber laser are investigated. The wavelength is adjusted to the water absorption peak. Through multidisciplinary debugging, the selective photothermal effect of the laser wavelength emitted by the Raman selective pulse fiber laser on hemorrhoid tissue is verified. When the calibrated hemorrhoid treatment efficacy index is between 0.4 and 0.6, it indicates that the Raman selective pulse fiber laser has a general hemorrhoid treatment efficacy level. The actual output laser center wavelength of the Raman selective pulse fiber laser is remeasured. Based on the Raman selective pulse fiber laser... The actual output laser center wavelength deviation was used to calibrate the optical path and replace fiber optic components. When the calibrated hemorrhoid treatment efficacy index was between 0.6 and 0.8, it indicated that the Raman selective pulse fiber laser was at a good level of hemorrhoid treatment efficacy. The correlation between the physiological monitoring data of hemorrhoid recovery and the parameters of the Raman selective pulse fiber laser was analyzed. Differentiated treatment plans were formulated for different types of hemorrhoids, and the depth and range of laser action were improved by dynamically adjusting the laser output. When the calibrated hemorrhoid treatment efficacy index was between 0.8 and 1, it indicated that the Raman selective pulse fiber laser was at an excellent level of hemorrhoid treatment efficacy. The adaptability of the Raman selective pulse fiber laser parameters to individual differences was explored, and the Raman selective pulse fiber laser parameters were calibrated regularly to maintain the current level of hemorrhoid treatment efficacy.

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