1200nm narrow linewidth laser therapy data processing method and system

Abstract

The present invention provides a 1200nm narrow linewidth laser treatment data processing method and system, which relates to the field of intelligent medical care. The method includes: acquiring real-time working data of 1200nm narrow linewidth laser treatment, and preprocessing the data to obtain preprocessed data; according to the preprocessed data, real-time monitoring and predicting the linewidth change of laser treatment to obtain the prediction result; dynamically adjusting the operating parameters of laser treatment according to the prediction result to obtain the adjusted operating parameters; by analyzing the adjusted operating parameters, remote monitoring and data analysis are realized; according to the remote monitoring and data analysis process, the environmental state is monitored and analyzed to obtain the environmental state. The present invention provides more accurate, safe and efficient laser data processing through real-time data acquisition and preprocessing, remote monitoring and data analysis.

Description

Technical Field

[0001] The present invention relates to the field of intelligent medical technology, and in particular to a 1200nm narrow-linewidth laser therapy data processing method and system. Background Art

[0002] With the advancement of medical technology, 1200nm narrow linewidth laser therapy has occupied a place in clinical treatment. However, some traditional laser treatment methods still have some defects in practice.

[0003] For example, the treatment method lacks real-time data processing. Traditional systems cannot monitor and pre-process treatment data in real time, and it is difficult to accurately grasp the changes in line width during treatment. Traditional laser treatment ignores environmental factors when processing data. Laser treatment has certain requirements for environmental factors such as temperature, humidity and air quality. However, some previous systems did not include these environmental data in the processing scope. This neglect of environmental conditions may lead to treatment under undesirable environmental conditions, increasing the risk of treatment and reducing safety.

[0004] In terms of resource management, some traditional laser treatment data processing mechanisms are not scientific enough. Due to the lack of a reasonable parameter adjustment mechanism, medical institutions often have unreasonable resource allocation and utilization, which not only causes a waste of resources, but also increases the operating costs of medical institutions. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a 1200nm narrow linewidth laser therapy data processing method and system, which provides more accurate, safe and efficient laser data processing through real-time data acquisition and preprocessing, remote monitoring and data analysis.

[0006] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0007] In a first aspect, a 1200nm narrow linewidth laser therapy data processing method, the method comprising:

[0008] Acquire real-time working data of 1200nm narrow linewidth laser treatment, and pre-process the data to obtain pre-processed data;

[0009] Based on the pre-processed data, the line width change of laser treatment is monitored and predicted in real time to obtain the prediction results;

[0010] Dynamically adjusting the operating parameters of the laser treatment according to the prediction results to obtain adjusted operating parameters;

[0011] By analyzing the adjusted operating parameters, remote monitoring and data analysis can be achieved;

[0012] According to the remote monitoring and data analysis process, the environmental status is monitored and analyzed to obtain the environmental status;

[0013] Obtain and analyze target patient injury and illness data to determine injury type and severity based on the normal state of the environment;

[0014] The types and severity of injuries of target patients are analyzed to obtain analysis results.

[0015] Furthermore, real-time working data of 1200nm narrow linewidth laser treatment is obtained, and the data is preprocessed to obtain preprocessed data, including:

[0016] Obtain real-time working data of 1200nm narrow linewidth laser therapy, including laser output power, wavelength, linewidth and device temperature;

[0017] The data is preprocessed, including data cleaning, denoising and normalization, to obtain preprocessed data.

[0018] Furthermore, based on the preprocessed data, the line width change of laser treatment is monitored and predicted in real time to obtain prediction results, including:

[0019] Based on the pre-processed data, the line width change of the treatment area is monitored in real time to obtain the real-time monitored data;

[0020] Compare the real-time monitored data with the pre-processed historical data to obtain a comparison result;

[0021] Extract features related to line width changes from pre-processed historical data and real-time monitoring data to obtain extraction results;

[0022] According to the extraction results, the line width change of laser treatment is predicted to obtain the prediction result.

[0023] Further, according to the remote monitoring and data analysis process, the environmental status is monitored and analyzed to obtain the environmental status, including:

[0024] Collect environmental parameter data and perform data analysis on the environmental parameter data to obtain environmental status data;

[0025] Environmental status data is transmitted through The calculated environmental status assessment index is: is the environmental status assessment index, is a constant, is the permissible detection distance between the interference source and the environmental monitoring equipment, is the actual measured distance between the interference source and the environmental monitoring equipment, It is the allowable measurement distance between the set highly reflective material and the environmental monitoring equipment. is the actual measured distance between the highly reflective material and the environmental monitoring device, It is the ventilation opening area of ​​the environmental monitoring equipment under design or standard conditions. is the total area of ​​actual obstruction in the vent, , , and Adjust the weights of different environmental factors in the environmental status assessment, is the difference between the actual air flow rate in the workroom and the set reference air flow rate. is the number of factors related to the distance to the interference source, is the total number of highly reflective materials considered, and is the index;

[0026] By setting a threshold and comparing the environmental status assessment index with the threshold, a comparison result can be obtained;

[0027] According to the comparison result, the environmental status is monitored to obtain the environmental status.

[0028] Furthermore, according to the normal state of the environment, the injury data of the target patient is obtained and analyzed to determine the type and severity of the injury, including:

[0029] According to the normal state of the environment, obtain the injury pictures and basic information of the damaged parts;

[0030] Match the acquired injury pictures with the injury types in the database to obtain matching results;

[0031] According to the matching results, the color information is extracted from the injury image to obtain the damaged part;

[0032] The damaged area is obtained by measuring the area of ​​the damaged part;

[0033] According to the type of injury and the area of ​​damage, the severity of the damage can be obtained;

[0034] The severity of the injury and the picture of the injury are used to determine the type and severity of the injury.

[0035] Furthermore, the severity of the injury can be determined based on the type of injury and the area of ​​damage, including:

[0036] A set reference damaged area, comparing the damaged area with the set reference damaged area to obtain a comparison result;

[0037] According to the comparison results and the damaged parts, the injury distribution status is analyzed to obtain the status analysis results;

[0038] According to the status analysis results, injury type and damaged area, Calculate the damage severity assessment index, where is the impact weight of the damaged area on the assessment index, is the weight of the impact of abnormal distribution status on the evaluation index, is the weight of the impact of color anomaly on the evaluation index, is the reference damaged area, is the actual measured damaged area, Is a parameter indicating whether the scale distribution state is abnormal. It is a binary variable. When the scale distribution state is normal, ; When the scale distribution is abnormal, ; Is a parameter indicating whether the color is abnormal, which is a binary variable. When the color of the scale is normal, ; When the scales are abnormal in color, , is the impairment severity assessment index;

[0039] According to the damage severity assessment index, the damage severity level is determined to obtain the damage severity.

[0040] Furthermore, the target patient's injury type and severity are analyzed to determine the duration of treatment light exposure, including:

[0041] Determine the light source type and fiber head shape based on the damaged part and injury type;

[0042] According to the shape of the optical fiber head, the optical fiber wavelength is determined to construct an optical fiber parameter set;

[0043] According to the optical fiber parameter set, the optical fiber penetration depth is extracted;

[0044] By comprehensively considering the damage severity assessment index and fiber penetration depth, Calculate the illumination duration evaluation index, where: It is the illumination duration assessment index. is the damage severity assessment index, is the damage severity weight, is the fiber penetration depth adjustment factor, is the fiber penetration depth weight, is the treatment area type coefficient, is the treatment area type weight;

[0045] The illumination duration assessment index is used to determine the illumination duration required for treatment, combined with the target patient's injury type and severity.

[0046] Second, the 1200nm narrow linewidth laser therapy data processing system includes:

[0047] An acquisition module is used to acquire real-time working data of 1200nm narrow linewidth laser therapy and preprocess the data to obtain preprocessed data; based on the preprocessed data, real-time monitoring and prediction of linewidth changes of laser therapy are performed to obtain prediction results; based on the prediction results, operating parameters of laser therapy are dynamically adjusted to obtain adjusted operating parameters; and remote monitoring and data analysis are realized by analyzing the adjusted operating parameters;

[0048] The processing module is used to monitor and analyze the environmental status according to the remote monitoring and data analysis process to obtain the environmental status; obtain and analyze the injury data of the target patient according to the normal state of the environment to determine the type and severity of the injury; analyze the type and severity of the injury of the target patient to obtain the analysis result; determine the treatment sequence according to the treatment exposure time to perform the laser operation.

[0049] According to a third aspect, a computing device includes:

[0050] one or more processors;

[0051] The storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method described.

[0052] In a fourth aspect, a computer-readable storage medium stores a program, and when the program is executed by a processor, the method described is implemented.

[0053] The above solution of the present invention includes at least the following beneficial effects:

[0054] By real-time monitoring and preprocessing of treatment data, the changes in line width can be more accurately grasped, so that timely parameter adjustments can be made during the treatment process. Including environmental factors such as temperature, humidity, and air quality in the data processing category can ensure that laser treatment is carried out under more ideal environmental conditions. Real-time monitoring and response to environmental conditions can reduce treatment risks. By improving the data processing mechanism, individual differences of patients can be more comprehensively considered, including the type and severity of injuries, so as to develop more personalized treatment plans. The scientific parameter adjustment mechanism makes medical institutions more reasonable in resource allocation and utilization, avoiding unnecessary waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a flow chart of a 1200nm narrow linewidth laser therapy data processing method provided in an embodiment of the present invention.

[0056] Figure 2 It is a schematic diagram of a 1200nm narrow linewidth laser therapy data processing system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0057] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in a form and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0058] like Figure 1 As shown, an embodiment of the present invention provides a 1200nm narrow linewidth laser therapy data processing method, the method comprising the following steps:

[0059] Step 11, acquiring real-time working data of 1200nm narrow linewidth laser treatment, and preprocessing the data to obtain preprocessed data;

[0060] Step 12, based on the preprocessed data, real-time monitoring and prediction of line width changes of laser treatment to obtain prediction results;

[0061] Step 13, dynamically adjusting the operating parameters of the laser treatment according to the prediction results to obtain adjusted operating parameters;

[0062] Step 14, analyzing the adjusted operating parameters to achieve remote monitoring and data analysis;

[0063] Step 15, monitoring and analyzing the environmental state according to the remote monitoring and data analysis process to obtain the environmental state;

[0064] Step 16, based on the normal state of the environment, obtaining and analyzing the injury and illness data of the target patient to determine the type and severity of the injury and illness;

[0065] Step 17, analyzing the injury type and severity level of the target patient to obtain an analysis result.

[0066] In the embodiments of the present invention, data quality is improved, noise and outliers are removed, data is made more accurate and reliable, and the trend of line width changes can be discovered in a timely manner. The prediction function helps to adjust the treatment strategy in advance to ensure the treatment effect and safety, and flexibly adjust the treatment parameters according to real-time data to ensure that the treatment process is always in the best state. Data analysis helps to find problems and improvement points in treatment and optimize the treatment plan. It ensures the safety and stability of the treatment environment, reduces treatment risks, helps to quickly determine the type and severity of injuries and improves data processing efficiency.

[0067] In a preferred embodiment of the present invention, the above step 11 may include:

[0068] Step 111, obtaining real-time working data of 1200nm narrow linewidth laser treatment, including laser output power, wavelength, linewidth and device temperature;

[0069] Step 112, preprocessing the data, including data cleaning, denoising and normalization, to obtain preprocessed data.

[0070] In an embodiment of the present invention, key parameters such as laser output power, wavelength, line width and equipment temperature are obtained in real time, and the status and performance of the laser treatment process can be fully monitored. Through real-time data, any abnormalities or deviations from expectations can be quickly discovered, so that adjustments can be made in a timely manner. Through data cleaning, invalid, repeated or erroneous data can be removed to ensure that subsequent analysis is based on accurate and reliable data sets. Denoising can reduce random errors and interference in the data, make the data smoother, improve the signal-to-noise ratio, and help reveal the true laws and trends in the data. Normalization processing can convert data of different dimensions and ranges to a unified scale, which is convenient for comprehensive analysis and comparison. The preprocessed data is more regular and consistent, which can greatly improve the efficiency and accuracy of data analysis.

[0071] In a specific embodiment of the present invention, real-time working data is read from the laser treatment device at a set frequency, and the data includes key parameters such as laser output power, wavelength, line width, and device temperature. The collected real-time data is automatically recorded in the local database, and the data set is checked for invalid or abnormal values, such as null values, values ​​that exceed the device specification range, and these data are removed from the data set or marked; for missing values ​​in the data set, interpolation, filling default values, or deleting records containing missing values ​​are selected according to the characteristics and missing conditions of the data, and a moving average smoothing algorithm is applied to reduce random noise in the data to make the data curve smoother. According to the characteristics of the noise, a low-pass filter is selected to filter out high-frequency noise and retain useful signal components; according to the actual value range of each parameter and the needs of subsequent processing, the normalized target range is determined, and data normalization is performed to convert the data into the target range to eliminate the dimensional differences between different parameters and obtain preprocessed data.

[0072] Assuming that in a specific application of a 1200nm narrow linewidth laser treatment center, data acquisition and preprocessing are implemented through the following steps: After the laser treatment device is started, the data recording function is started through the device interface to start real-time capture of key parameters such as laser output power, wavelength, linewidth and device temperature. These data are automatically recorded in the device's log file at a certain time interval (such as every second or every few minutes), or sent to the central data service in real time through wireless transmission, and the log file or real-time data stream is regularly imported into the data processing software. The software automatically performs data cleaning operations to identify and process errors, missing or abnormal values. For example, for negative values ​​in the laser output power data or values ​​that exceed the device specification range, the software will mark and replace them with reasonable default values ​​or fill them with interpolation methods. Next, the software application uses a moving average filter to smooth the device temperature data to reduce the noise caused by ambient temperature fluctuations. By setting the normalization range (such as between 0 and 1), the data is converted to the target range to achieve normalization.

[0073] In a preferred embodiment of the present invention, the above step 12 may include:

[0074] Step 121, monitoring the line width change of the treatment area in real time according to the preprocessed data to obtain real-time monitored data;

[0075] Step 122, comparing the real-time monitored data with the pre-processed historical data to obtain a comparison result;

[0076] Step 123, extracting features related to line width changes from the pre-processed historical data and real-time monitoring data to obtain extraction results;

[0077] Step 124, predicting the line width change of the laser treatment according to the extraction result to obtain a prediction result.

[0078] In an embodiment of the present invention, real-time monitoring can provide instant feedback on line width changes in the treatment area. Based on real-time monitoring data, the treatment strategy can be adjusted in real time according to line width changes. By comparing real-time monitoring data with historical data, the trend of line width changes can be analyzed. The comparison results help to promptly detect abnormal situations, such as a sudden increase or decrease in line width, so that timely measures can be taken to prevent potential risks. Extracting the characteristics of line width changes helps to more deeply understand the laws and influencing factors of line width changes during laser treatment. Feature extraction can simplify data sets, remove redundant information, and make predictions based on extracted features, so that line width changes in laser treatment in the future can be predicted in advance.

[0079] In a specific embodiment of the present invention, a stable data stream is established to ensure that the preprocessed data can be seamlessly transmitted to the real-time monitoring system, and an appropriate data transmission protocol is used to maintain the real-time and integrity of the data. An appropriate sampling rate is set in the monitoring system to ensure that the details of the line width change can be captured, and the system is configured to display the line width data in real time, which may include charts, digital displays or other visualization tools. A database structure is designed to store the line width data monitored in real time, including timestamps and line width measurements. The preprocessed historical line width data is retrieved from the database, and the consistency of the format and structure of the historical data and the real-time monitoring data is ensured. The time series analysis method is used to compare the trends and patterns of the real-time monitoring data and the historical data, and statistical tests are applied to quantify the differences between the real-time monitoring data and the historical data. A comparison chart, such as a line chart, a scatter plot or a box plot is created to intuitively show the comparison between the real-time monitoring data and the historical data, and significant differences or outliers are marked. The variation pattern of the line width data is analyzed, and statistical features such as mean, median, variance, kurtosis, and skewness are calculated. The trend, seasonality, and periodicity characteristics in the time series data are extracted, and the time series decomposition technology is applied to identify the main components in the line width data. Keep the features most relevant to line width changes and remove redundant or irrelevant features. Divide the extracted feature data set into training and test sets, ensuring that the distribution of the training and test sets is similar to avoid overfitting or underfitting. Select a deep learning prediction algorithm based on the complexity of the problem and the characteristics of the data, use the training set to train the algorithm process, and then predict the test set to obtain the prediction results of line width changes. Calculate the accuracy indicators of the prediction results, such as mean square error and mean absolute error; compare the prediction results with the actual monitoring data to evaluate the prediction performance. Continuously iterate and optimize based on the evaluation results to improve the prediction accuracy of line width changes.

[0080] In a preferred embodiment of the present invention, the above step 13 may include:

[0081] Step 131, identifying the line width variation trend that leads to an unsatisfactory treatment effect according to the prediction result, to obtain an identification result;

[0082] Step 132, based on the recognition result and the formulated adjustment strategy, the operating parameters are adjusted in real time and dynamically to obtain the adjusted operating parameters, including laser wavelength, output power or energy density, exposure time or pulse width and number of laser points.

[0083] In an embodiment of the present invention, by identifying undesirable line width change trends, undesirable line width changes are timely identified, and risk warnings are provided. The adjustment strategy formulated based on the identification results can be more personalized and optimized for the specific situation of each patient. With a clear adjustment strategy, various problems that arise during the treatment process can be flexibly responded to, and the operating parameters can be adjusted in real time to reduce unnecessary delays and trial and error costs. By dynamically adjusting key parameters such as laser wavelength, output power, energy density, exposure time, pulse width, and number of laser points, the accuracy of laser treatment can be significantly improved. Real-time adjustment can ensure that the operating parameters are always within a safe range.

[0084] In a specific embodiment of the present invention, the obtained line width variation trend is carefully examined, and the predicted line width is compared with the actual standard to identify those variation points or intervals that deviate from the expected line width, and the line width variation trend of "unsatisfactory treatment effect", including line width that is too large, too small, and drastic fluctuations. A set threshold is used to automatically identify these unsatisfactory trends, and the identified unsatisfactory line width variation trends are recorded in detail, including the time of occurrence, the duration, and the magnitude of the change; these trends are classified according to different characteristics, such as instantaneous abnormality and continuous deviation. Feedback the recognition results to confirm whether these trends may indeed lead to poor treatment effects, and adjust the recognition algorithm or threshold according to the feedback. Based on the identified undesirable line width change trends, corresponding operating parameter adjustment strategies are formulated, taking into account that different trend types require different adjustment methods. For example, in the case of excessive line width, the output power needs to be reduced, while in the case of too small line width, the exposure time needs to be increased. During laser treatment, the adjustment range and limit of each operating parameter (such as laser wavelength, output power, exposure time, pulse width, and number of laser points) are set. According to the line width change trend fed back by the recognition system in real time, the operating parameters are dynamically adjusted to ensure that the adjusted parameters can not only improve the line width change trend, but also will not exceed the safe operating range of the equipment or cause adverse effects on patients.

[0085] In a preferred embodiment of the present invention, the above step 14 may include:

[0086] Step 141, analyzing the treatment effects of different operation parameter combinations to obtain analysis results;

[0087] Step 142, based on the data analysis results, a remote monitoring platform is performed and operating parameters of the laser treatment process are adjusted in real time.

[0088] In the embodiments of the present invention, an in-depth analysis of the treatment effects of different operating parameter combinations is helpful to find the best parameter combination. Through the remote monitoring platform, the laser treatment process can be monitored anytime and anywhere without geographical restrictions, thereby improving management efficiency. The remote monitoring platform facilitates data sharing and collaboration, and real-time adjustment of operating parameters can ensure that the laser treatment process responds quickly to individual differences of patients, improving the pertinence and timeliness of treatment. Through real-time adjustment, it can be ensured that laser treatment is always performed under the best parameters, reducing unnecessary treatment time and cost.

[0089] In a specific embodiment of the present invention, data of laser treatment under different operating parameter combinations are collected and sorted, including but not limited to laser wavelength, output power, exposure time, pulse width, number of laser points and corresponding treatment effects. The data are grouped according to different operating parameter combinations, and the treatment effects under different parameter combinations are compared. For example, the changes in line width and the success rate of treatment under different laser wavelengths or output powers can be compared. The data are analyzed using statistical software or tools, which may include descriptive statistics, correlation analysis, and regression analysis to identify operating parameters and their combinations that are significantly related to the treatment effect. The relationship between the operating parameters and the treatment effect is analyzed to identify the optimal operating parameter range or combination. A remote monitoring platform is established, which can receive and display the data of the laser treatment device in real time. The analysis results in step 141 are integrated into the remote monitoring platform, and the relationship between the operating parameters and the treatment effect is visualized by means of charts, dashboards, etc. During the laser treatment process, the operating parameters are monitored in real time through the remote monitoring platform, and an early warning system is set up. When the operating parameters exceed the recommended range or the treatment effect is poor, a warning is issued in time. When it is monitored that the operating parameters need to be adjusted, the platform can provide a recommended adjustment plan. According to the suggestions and warnings of the remote monitoring platform, the operating parameters of the laser treatment device are adjusted in real time.

[0090] In a preferred embodiment of the present invention, the above step 15 may include:

[0091] Step 151, collecting environmental parameter data and performing data analysis on the environmental parameter data to obtain environmental status data;

[0092] Step 152, the environmental status data is passed The calculated environmental status assessment index is: is the environmental status assessment index, is a constant, is the permissible detection distance between the interference source and the environmental monitoring equipment, is the actual measured distance between the interference source and the environmental monitoring equipment, It is the allowable measurement distance between the set highly reflective material and the environmental monitoring equipment. is the actual measured distance between the highly reflective material and the environmental monitoring device, It is the ventilation opening area of ​​the environmental monitoring equipment under design or standard conditions. is the total area of ​​actual obstruction in the vent, , , and Adjust the weights of different environmental factors in the environmental status assessment, is the difference between the actual air flow rate in the workroom and the set reference air flow rate. is the number of factors related to the distance to the interference source, is the total number of highly reflective materials considered, and is the index;

[0093] Step 153, setting a threshold and comparing the environmental status assessment index with the threshold to obtain a comparison result;

[0094] Step 154, monitoring the environmental status according to the comparison result to obtain the environmental status.

[0095] In an embodiment of the present invention, comprehensive and real-time information about the working environment can be obtained by collecting and analyzing environmental parameter data. Data analysis helps to identify factors that may have an adverse impact on the environment, thereby preventing potential risks and interference. By calculating the environmental status assessment index, the overall state of the environment can be quantitatively evaluated, making environmental monitoring more objective and accurate. The index comprehensively considers a variety of environmental factors, including the distance of the interference source, the distance of highly reflective materials, and the blockage of the vents, and can more comprehensively reflect the environmental state. By setting a threshold and comparing the environmental status assessment index, the abnormality of the environmental state can be discovered in time, providing an early warning for timely adjustment of the environment. Ensure that laser data processing is carried out in a safe and stable environment. By continuously monitoring the environmental state and based on the monitoring results, environmental factors can be adjusted in time, such as adjusting ventilation, reducing interference sources, etc., to optimize the treatment environment and improve the treatment effect.

[0096] In a specific embodiment of the present invention, various environmental parameter data, such as temperature, humidity, electromagnetic interference intensity, light source intensity, and air flow rate, are collected by environmental monitoring equipment deployed in a laser treatment room or a related area. The collected environmental parameter data are processed and analyzed, for example, outliers are removed by data cleaning, and the average value and fluctuation range of each parameter are obtained by statistical analysis, so as to obtain a data set reflecting the current environmental state, that is, environmental state data. The various parameters required for evaluating the environmental state and their standard values ​​or allowable ranges are determined, including the distance between the interference source and the environmental monitoring equipment, the distance between the highly reflective material and the environmental monitoring equipment, the vent area and blockage, and the air flow rate; the environmental state evaluation index is calculated according to a given formula. A threshold value of the environmental state evaluation index is set, and the threshold value can represent different environmental state levels, such as "excellent", "good", "medium", and "poor". The calculated environmental state evaluation index is compared with the set threshold value to determine the level of the current environmental state. According to the comparison results, the changes in the environmental state are continuously monitored. If the environmental state evaluation index exceeds the set safety range or reaches the warning level, the alarm mechanism is triggered in time and corresponding measures are taken to adjust it.

[0097] In a preferred embodiment of the present invention, the above step 16 may include:

[0098] Step 161, obtaining injury pictures and basic information of the damaged part according to the normal state of the environment;

[0099] Step 162, matching the acquired injury image with each injury type in the database to obtain a matching result;

[0100] Step 163, extracting chromaticity information from the injury image according to the matching result to obtain the damaged part;

[0101] Step 164, measuring the area of ​​the damaged part to obtain the damaged area;

[0102] Step 165, obtaining the severity of the injury according to the injury type and the damaged area;

[0103] Step 166, determining the injury type and severity level based on the injury severity and injury picture.

[0104] In an embodiment of the present invention, clear and accurate injury pictures are obtained, basic information is collected, and by matching with the injury types in the database, the possible injury type of the damaged part can be quickly identified, shortening the diagnosis time. The matching analysis based on big data can improve the accuracy of injury type identification and reduce the possibility of misdiagnosis. By extracting chromatic information, the damaged part can be accurately located, which is helpful for a more detailed analysis of the injury. Measuring the damaged area provides an objective injury assessment indicator, which helps to more accurately judge the severity of the injury. Combining the injury type and the damaged area for comprehensive judgment can more comprehensively assess the severity of the injury. Combining the severity of the injury and the injury picture information can clearly diagnose the specific injury type and severity level.

[0105] In a specific embodiment of the present invention, while ensuring that the environment is in a normal state, a clear injury picture is obtained, and basic information of the injured person, such as age, gender, and injury history, is collected; the injury picture is compared and matched with standard images of various injury types stored in a database using image recognition technology, and matching results with various injury types in the database are obtained based on the similarity of image features. Based on the matching results, the key areas for analyzing the injury picture are determined, and the color information is extracted from the injury picture using image processing technology to identify the location and range of the damaged part. Based on the identified damaged part, the pixel area of ​​the damaged area is calculated using an image measurement tool. The pixel area is converted into the actual area based on the resolution of the picture and the zoom ratio when shooting. The severity of the injury is evaluated by combining the injury type determined by the matching result and the damaged area obtained by measurement. The severity can be comprehensively judged based on factors such as the nature of the injury, the size of the damaged area, and possible complications. The specific type of injury is clarified, such as burns, trauma, and infection; and the injury is divided into different severity levels, such as mild, moderate, and severe, based on the severity of the injury.

[0106] In a preferred embodiment of the present invention, the above step 161 may include:

[0107] Step 1611, setting a reference damaged area, comparing the damaged area with the set reference damaged area to obtain a comparison result;

[0108] Step 1612, analyzing the injury distribution status according to the comparison result and the damaged part to obtain a status analysis result;

[0109] Step 1613, according to the status analysis results, injury type and damaged area, Calculate the damage severity assessment index, where is the impact weight of the damaged area on the assessment index, is the weight of the impact of abnormal distribution status on the evaluation index, is the weight of the impact of color anomaly on the evaluation index, is the reference damaged area, is the actual measured damaged area, Is a parameter indicating whether the scale distribution state is abnormal. It is a binary variable. When the scale distribution state is normal, ; When the scale distribution is abnormal, ; Is a parameter indicating whether the color is abnormal, which is a binary variable. When the color of the scale is normal, ; When the scales are abnormal in color, , is the impairment severity assessment index;

[0110] Step 1614, determining the damage severity level according to the damage severity assessment index to obtain the damage severity.

[0111] In an embodiment of the present invention, by setting a reference damaged area and making a comparison, the size of the actual damaged area can be evaluated in a standardized manner, making the evaluation results more objective and comparable. The comparison results can quickly reflect whether the damaged area exceeds the normal range. By analyzing the distribution status of the injury, the spatial distribution and characteristics of the injury can be fully understood, which is helpful to discover potential injury patterns and laws. The status analysis results can provide an important reference for formulating treatment plans, such as determining the focus areas of treatment and selecting appropriate treatment methods. The index comprehensively considers multiple factors such as the damaged area, abnormal distribution status, and abnormal color, and can more comprehensively evaluate the severity of the injury. By calculating a specific evaluation index, a quantitative injury severity indicator is obtained.

[0112] In a specific embodiment of the present invention, a reference damaged area value is set for a specific type of injury based on clinical experience or related research. The area of ​​the actual damaged part of the patient is measured using image processing software. The actual measured damaged area is compared with the set reference damaged area, and the result of the comparison can be a ratio value, a percentage, or a simple judgment of "greater than", "less than" or "equal to". Based on the comparison result of the damaged area and the reference damaged area, combined with the specific location and shape of the damaged part, the distribution status of the injury is analyzed, for example, whether the injury is concentrated in one area or scattered in multiple areas. The above analysis is integrated into a state analysis report, which describes the distribution of the injury and any observed abnormalities in detail, assigns corresponding influence weights to different factors (such as damaged area, abnormal distribution status, and abnormal color), and uses a formula to combine the state analysis results, the type of injury, the actual damaged area, and the weights of each factor to calculate the injury severity assessment index. In the formula, a binary variable is introduced to represent the abnormal distribution status and color. Different levels of injury severity standards are set in advance, which correspond to the range of the assessment index. The calculated injury severity assessment index is compared with the set level standards to determine the specific severity level of the injury.

[0113] In a preferred embodiment of the present invention, the above step 17 may include:

[0114] Step 171, determining the light source type and the optical fiber head shape according to the damaged part and the injury type;

[0115] Step 172, determining the optical fiber wavelength according to the optical fiber head shape to construct an optical fiber parameter set;

[0116] Step 173, extracting the optical fiber penetration depth according to the optical fiber parameter set;

[0117] Step 174, by comprehensively considering the damage severity assessment index and the fiber penetration depth, Calculate the illumination duration evaluation index, where: It is the illumination duration assessment index. is the damage severity assessment index, is the damage severity weight, is the fiber penetration depth adjustment factor, is the fiber penetration depth weight, is the treatment area type coefficient, is the treatment area type weight;

[0118] Step 175, obtaining an analysis result based on the illumination duration evaluation index and the injury type and severity level of the target patient.

[0119] In an embodiment of the present invention, more accurate and personalized treatment can be achieved by selecting light sources and fiber head shapes according to different damaged parts and types of injuries. The light source and fiber head shape can minimize damage to surrounding healthy tissues and reduce side effects during treatment. By determining the fiber wavelength based on the fiber head shape, the treatment parameters can be further refined to ensure that the energy transfer during treatment is more uniform and effective. The fiber parameters can improve the utilization efficiency of light energy, thereby shortening the treatment time and improving the treatment efficiency. Understanding the penetration depth of the optical fiber can help control the depth of treatment more accurately and ensure that the light energy acts accurately on the damaged part. By controlling the penetration depth, damage to deep healthy tissues can be avoided and the safety of treatment can be improved. By combining the severity of the damage and the fiber penetration depth to calculate the illumination time evaluation index, the treatment needs can be evaluated to ensure the rationality and effectiveness of the treatment plan.

[0120] In a specific embodiment of the present invention, the damaged part of the patient is examined in detail to determine the specific type of injury and the characteristics of the damaged part. Based on this information, the type of light source is selected, such as laser, LED. At the same time, the shape of the optical fiber head is selected according to the shape and size of the damaged part to ensure that the light can evenly and effectively cover the treatment area. After the shape of the optical fiber head is selected, the most suitable optical fiber wavelength is determined based on the comprehensive consideration of factors such as the penetration ability of the light source, the treatment effect, and the possible thermal damage to the patient. According to the selected optical fiber head shape and wavelength, a complete set of optical fiber parameters is constructed, and the data in the optical fiber parameter set is used to determine the penetration depth of the light in the patient's tissue through physical models or experimental measurements. The patient's injury severity assessment index and the penetration depth of the optical fiber are comprehensively considered to calculate the illumination time assessment index, and the illumination time assessment index is combined with the patient's specific injury type and severity level to conduct a comprehensive analysis to formulate a personalized laser treatment plan.

[0121] Suppose in a specific application, a patient has a muscle strain in the knee due to a sports injury, accompanied by mild inflammation. In step 171, a laser light source with anti-inflammatory and tissue repair-promoting effects is selected, and a fiber head suitable for the shape of the knee is selected. In step 172, a laser wavelength that can penetrate deep into the muscle tissue without causing excessive thermal damage is determined, and a corresponding set of fiber parameters is constructed. In step 173, the penetration depth of light in the muscle tissue is calculated through experimental measurement or physical model. Finally, in step 174, the optimal illumination duration evaluation index is calculated based on the severity of the patient's injury and the fiber penetration depth, thereby determining the laser irradiation time during the treatment process.

[0122] like Figure 2 As shown, the embodiment of the present invention also provides a 1200nm narrow linewidth laser treatment data processing system 20, comprising:

[0123] The acquisition module 21 is used to acquire the real-time working data of the 1200nm narrow linewidth laser treatment, and pre-process the data to obtain the pre-processed data; according to the pre-processed data, monitor and predict the linewidth change of the laser treatment in real time to obtain the prediction result; dynamically adjust the operating parameters of the laser treatment according to the prediction result to obtain the adjusted operating parameters; and realize remote monitoring and data analysis by analyzing the adjusted operating parameters;

[0124] The processing module 22 is used to monitor and analyze the environmental status according to the remote monitoring and data analysis process to obtain the environmental status; obtain and analyze the injury data of the target patient according to the normal state of the environment to determine the type and severity of the injury; analyze the type and severity of the injury of the target patient to obtain the analysis result; determine the treatment sequence according to the treatment exposure time to perform the laser operation.

[0125] It should be noted that the system is a system corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0126] The embodiment of the present invention further provides a computing device, comprising: a processor, a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0127] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. 1200nm narrow linewidth laser therapy data processing method, characterized in that: The method comprises: Acquire real-time working data of 1200nm narrow linewidth laser treatment, and pre-process the data to obtain pre-processed data; Based on the pre-processed data, the line width change of laser treatment is monitored and predicted in real time to obtain the prediction results; Dynamically adjusting the operating parameters of the laser treatment according to the prediction results to obtain adjusted operating parameters; By analyzing the adjusted operating parameters, remote monitoring and data analysis can be achieved; According to the remote monitoring and data analysis process, the environmental status is monitored and analyzed to obtain the environmental status; Obtain and analyze target patient injury and illness data to determine injury type and severity based on the normal state of the environment; Analyze the type and severity of the target patient's injury or illness to obtain the analysis results; monitor and analyze the environmental status according to the remote monitoring and data analysis process to obtain the environmental status, including: Collect environmental parameter data and perform data analysis on the environmental parameter data to obtain environmental status data; Environmental status data is transmitted through The calculated environmental status assessment index is: is the environmental status assessment index, is a constant, is the permissible detection distance between the interference source and the environmental monitoring equipment, is the actual measured distance between the interference source and the environmental monitoring equipment, It is the allowable measurement distance between the set highly reflective material and the environmental monitoring equipment. is the actual measured distance between the highly reflective material and the environmental monitoring device, It is the ventilation opening area of ​​the environmental monitoring equipment under design or standard conditions. is the total area of ​​actual obstruction in the vent, , , and Adjust the weights of different environmental factors in the environmental status assessment, is the difference between the actual air flow rate in the workroom and the set reference air flow rate. is the number of factors related to the distance to the interference source, is the total number of highly reflective materials considered, and is the index; By setting a threshold and comparing the environmental status assessment index with the threshold, a comparison result can be obtained; Based on the comparison results, the environmental status is monitored to obtain the environmental status; based on the normal state of the environment, the injury and illness data of the target patient is obtained and analyzed to determine the type and severity of the injury and illness, including: According to the normal state of the environment, obtain the injury pictures and basic information of the damaged parts; Match the acquired injury pictures with the injury types in the database to obtain matching results; According to the matching results, the color information is extracted from the injury image to obtain the damaged part; The damaged area is obtained by measuring the area of ​​the damaged part; According to the type of injury and the area of ​​damage, the severity of the damage can be obtained; According to the severity of the damage and the injury pictures, the type and severity of the injury are determined; according to the type of injury and the damaged area, the severity of the damage is obtained, including: A set reference damaged area, comparing the damaged area with the set reference damaged area to obtain a comparison result; According to the comparison results and the damaged parts, the injury distribution status is analyzed to obtain the status analysis results; According to the status analysis results, injury type and damaged area, Calculate the damage severity assessment index, where is the impact weight of the damaged area on the assessment index, is the weight of the impact of abnormal distribution status on the evaluation index, is the weight of the impact of color anomaly on the evaluation index, is the reference damaged area, is the actual measured damaged area, Is a parameter indicating whether the scale distribution state is abnormal. It is a binary variable. When the scale distribution state is normal, ; When the scale distribution is abnormal, ; Is a parameter indicating whether the color is abnormal, which is a binary variable. When the color of the scale is normal, ; When the scales are abnormal in color, , is the impairment severity assessment index; According to the injury severity assessment index, the injury severity level is determined to obtain the injury severity; the injury type and severity level of the target patient are analyzed to determine the duration of treatment illumination, including: Determine the light source type and fiber head shape based on the damaged part and injury type; According to the shape of the optical fiber head, the optical fiber wavelength is determined to construct an optical fiber parameter set; According to the optical fiber parameter set, the optical fiber penetration depth is extracted; By comprehensively considering the damage severity assessment index and fiber penetration depth, Calculate the illumination duration evaluation index, where: It is the illumination duration assessment index. is the damage severity assessment index, is the damage severity weight, is the fiber penetration depth adjustment factor, is the fiber penetration depth weight, is the treatment area type coefficient, is the treatment area type weight; The illumination duration assessment index is used to determine the illumination duration required for treatment, combined with the target patient's injury type and severity.

2. The 1200nm narrow linewidth laser therapy data processing method according to claim 1, characterized in that: Acquire real-time working data of 1200nm narrow linewidth laser therapy and preprocess the data to obtain preprocessed data, including: Obtain real-time working data of 1200nm narrow linewidth laser therapy, including laser output power, wavelength, linewidth and device temperature; The data is preprocessed, including data cleaning, denoising and normalization, to obtain preprocessed data.

3. The 1200nm narrow linewidth laser therapy data processing method according to claim 2, characterized in that: Based on the pre-processed data, the line width changes of laser treatment are monitored and predicted in real time to obtain the prediction results, including: Based on the pre-processed data, the line width change of the treatment area is monitored in real time to obtain the real-time monitored data; Compare the real-time monitored data with the pre-processed historical data to obtain a comparison result; Extract features related to line width changes from pre-processed historical data and real-time monitoring data to obtain extraction results; According to the extraction results, the line width change of laser treatment is predicted to obtain the prediction result. 4.1200nm narrow linewidth laser therapy data processing system, characterized in that: include: An acquisition module is used to acquire real-time working data of 1200nm narrow linewidth laser treatment and preprocess the data to obtain preprocessed data; Based on the pre-processed data, the line width change of laser treatment is monitored and predicted in real time to obtain the prediction results; the operating parameters of laser treatment are dynamically adjusted according to the prediction results to obtain the adjusted operating parameters; and the adjusted operating parameters are analyzed to realize remote monitoring and data analysis; The processing module is used to monitor and analyze the environmental status according to the remote monitoring and data analysis process to obtain the environmental status; according to the normal state of the environment, obtain and analyze the injury and illness data of the target patient to determine the type and severity of the injury and illness; Analyze the injury type and severity level of the target patient to obtain analysis results; According to the remote monitoring and data analysis process, the environmental status is monitored and analyzed to obtain the environmental status, including: Collect environmental parameter data and perform data analysis on the environmental parameter data to obtain environmental status data; Environmental status data is transmitted through The calculated environmental status assessment index is: is the environmental status assessment index, is a constant, is the permissible detection distance between the interference source and the environmental monitoring equipment, is the actual measured distance between the interference source and the environmental monitoring equipment, It is the allowable measurement distance between the set highly reflective material and the environmental monitoring equipment. is the actual measured distance between the highly reflective material and the environmental monitoring device, It is the ventilation opening area of ​​the environmental monitoring equipment under design or standard conditions. is the total area of ​​actual obstruction in the vent, , , and Adjust the weights of different environmental factors in the environmental status assessment, is the difference between the actual air flow rate in the workroom and the set reference air flow rate. is the number of factors related to the distance to the interference source, is the total number of highly reflective materials considered, and is the index; By setting a threshold and comparing the environmental status assessment index with the threshold, a comparison result can be obtained; Based on the comparison results, the environmental status is monitored to obtain the environmental status; based on the normal state of the environment, the injury and illness data of the target patient is obtained and analyzed to determine the type and severity of the injury and illness, including: According to the normal state of the environment, obtain the injury pictures and basic information of the damaged parts; Match the acquired injury pictures with the injury types in the database to obtain matching results; According to the matching results, the color information is extracted from the injury image to obtain the damaged part; The damaged area is obtained by measuring the area of ​​the damaged part; According to the type of injury and the area of ​​damage, the severity of the damage can be obtained; According to the severity of the damage and the injury pictures, the type and severity of the injury are determined; according to the type of injury and the damaged area, the severity of the damage is obtained, including: A set reference damaged area, comparing the damaged area with the set reference damaged area to obtain a comparison result; According to the comparison results and the damaged parts, the injury distribution status is analyzed to obtain the status analysis results; According to the status analysis results, injury type and damaged area, Calculate the damage severity assessment index, where is the impact weight of the damaged area on the assessment index, is the weight of the impact of abnormal distribution status on the evaluation index, is the weight of the impact of color anomaly on the evaluation index, is the reference damaged area, is the actual measured damaged area, Is a parameter indicating whether the scale distribution state is abnormal. It is a binary variable. When the scale distribution state is normal, ; When the scale distribution is abnormal, ; Is a parameter indicating whether the color is abnormal, which is a binary variable. When the color of the scale is normal, ; When the scales are abnormal in color, , is the impairment severity assessment index; According to the injury severity assessment index, the injury severity level is determined to obtain the injury severity; the injury type and severity level of the target patient are analyzed to determine the duration of treatment illumination, including: Determine the light source type and fiber head shape based on the damaged part and injury type; According to the shape of the optical fiber head, the optical fiber wavelength is determined to construct an optical fiber parameter set; According to the optical fiber parameter set, the optical fiber penetration depth is extracted; By comprehensively considering the damage severity assessment index and fiber penetration depth, Calculate the illumination duration evaluation index, where: It is the illumination duration assessment index. is the damage severity assessment index, is the damage severity weight, is the fiber penetration depth adjustment factor, is the fiber penetration depth weight, is the treatment area type coefficient, is the treatment area type weight; The illumination duration assessment index is used to determine the illumination duration required for treatment, combined with the target patient's injury type and severity.

5. A computing device, characterized in that: include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the method as claimed in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program, which implements the method according to any one of claims 1 to 3 when executed by a processor.

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