LED therapeutic apparatus output power automatic adjusting system

Abstract

The application discloses an LED therapeutic instrument output power automatic adjusting system and method, and relates to the field of physiotherapy instrument control. The system comprises a detection module, a central processing module, a control module and a therapeutic PCBA board, wherein the detection module is used for detecting an optical distribution map in a target irradiation area; the central processing module is used for performing component division on the optical distribution map to obtain a lesion area and a normal area, and calculating area ratios of the lesion area and the normal area, and determining a target output power of the LED therapeutic instrument based on the area ratios; and the control module is used for controlling an output power value of the therapeutic PCBA board according to the target output power. The technical scheme provided by the application solves the problem that the LED therapeutic instrument may cause damage to normal biological tissues during treatment.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of physiotherapy instrument control, and particularly relates to an LED treatment instrument output power automatic adjusting system. BACKGROUND

[0002] The LED treatment instrument is a medical device for treatment by using light of specific wavelengths emitted by light-emitting diodes; the principle is to use LEDs to generate light of different wavelengths, such as red light, blue light and infrared light, which can induce a series of photobiomodulation effects by irradiating human tissues, so as to achieve the purpose of treating diseases or relieving symptoms.

[0003] At present, in the process of using the LED treatment instrument, the light generated by the LED not only has photochemical reactions with lesion tissues, but also has chemical reactions with normal tissues, so that in the treatment process, special covering materials are often used to shield the skin around the treatment site to prevent damage to normal biological tissues.

[0004] However, the above-mentioned special covering materials are difficult to take into account the individual differences of different patients during production, so most of them are made by using unified shapes and templates, which also correspondingly causes that the irradiation area may contain more normal biological tissues, thereby causing damage to normal biological tissues during the treatment process. SUMMARY

[0005] In view of the problem that the LED treatment instrument may cause damage to normal biological tissues during the treatment process, the application provides an LED treatment instrument output power automatic adjusting system.

[0006] In a first aspect, the application provides an LED treatment instrument output power automatic adjusting system, which comprises a detection module, a central processing module, a control module and a treatment PCBA board, wherein:

[0007] The detection module is used for detecting an optical distribution map in a target irradiation area.

[0008] The central processing module is used for performing component division on the optical distribution map to obtain a lesion area and a normal area, calculating area proportions of the lesion area and the normal area, and determining a target output power of the LED treatment instrument based on the area proportions.

[0009] The control module is used for controlling an output power value of the treatment PCBA board according to the target output power.

[0010] Optionally, the central processing module further comprises a data acquisition unit, a data processing unit and a data output unit, wherein:

[0011] The data acquisition unit is configured to acquire diagnostic data input by a user.

[0012] The data processing unit is configured to perform value analysis on the diagnostic data to obtain a plurality of high-value data, the plurality of high-value data including a lesion position, a lesion type, and a lesion degree, and determine a lesion center point based on the plurality of high-value data.

[0013] The data output unit is configured to generate the target irradiation region according to the lesion center point.

[0014] Optionally, the data processing unit is further configured to construct a lesion model of a lesion tissue based on the plurality of high-value data, perform morphological judgment on the lesion model, and determine a conjecture algorithm of the lesion center point based on a result of the morphological judgment.

[0015] The data output unit is further configured to conjecture the lesion center point of the lesion model according to the conjecture algorithm of the lesion center point.

[0016] Optionally, the detection module is further configured to detect a plurality of biological tissue wavelengths in the optical distribution map.

[0017] The central processing module is further configured to calculate a plurality of wavelength difference values between the plurality of biological tissue wavelengths.

[0018] The central processing module is further configured to classify the plurality of biological tissue wavelengths based on the plurality of wavelength difference values to obtain the lesion region and the normal region.

[0019] Optionally, the central processing module is further configured to

[0020] acquire biological tissue information of the lesion region and the normal region;

[0021] query, from a preset power density table, a lowest effective power density corresponding to the lesion region and a highest bearable power density corresponding to the normal region according to the biological tissue information of both;

[0022] multiply the lowest effective power density by a region proportion of the lesion region to obtain a first power density, and multiply the highest bearable power density by a region proportion of the normal region to obtain a second power density;

[0023] calculate a disease severity of a plurality of region points in the target irradiation region;

[0024] calculate the target output power based on the disease severity, the lesion center point, the first power density, and the second power density.

[0025] Optionally, the disease severity of the multiple region points in the target irradiation region is calculated, specifically using the following formula:

[0026]

[0027] wherein, is the disease severity of the region point (x,y), is the center point coordinate of the disease, is the attenuation coefficient corresponding to the disease tissue.

[0028] Optionally, the target output power scheme is calculated based on the disease severity, the lesion center point, the first power density and the second power density, specifically using the following formula:

[0029]

[0030] wherein, P is the target power value, is the first power density, is the second power density, is the region point coordinate, is the index function of the lesion region, when the region point (x,y) is located in the lesion region, =1, otherwise =0. is the index function of the normal region, when the region point (x,y) is located in the normal region, =1, otherwise =0, and L is the boundary condition of the target irradiation region.

[0031] Optionally, the central processing module is further configured to

[0032] generate a disease severity change curve of the target irradiation region based on the disease severity of the multiple region points;

[0033] generate a power adjustment speed curve of the treatment PCBA board adjusting to the target output power according to the disease severity change curve;

[0034] The control module is further configured to control the power adjustment speed of the treatment PCBA board according to the power adjustment speed curve.

[0035] In a second aspect, the present application provides an LED treatment instrument output power automatic adjustment method, which is applied to the system of any one of the first aspect, and the method comprises:

[0036] detecting an optical distribution map in a target irradiation region;

[0037] perform component division on the optical distribution map to obtain a lesion area and a normal area;

[0038] calculate area proportions of the lesion area and the normal area;

[0039] determine a target output power of the LED treatment instrument based on the area proportions;

[0040] control an output power value of the treatment PCBA board according to the target output power.

[0041] In a third aspect, the present application provides a computer-readable storage medium storing instructions that, when executed, perform the method of the second aspect.

[0042] The one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0043] 1. Normal tissue and lesion tissue differ in microstructure, chemical composition, and other aspects, and these differences result in different optical properties such as absorption, scattering, and reflection of light. Based on this property, the present application analyzes the composition of the tissue in the target irradiation area to determine the lesion area and the normal area. When using an LED treatment instrument to treat lesion tissue, if the light energy emitted by the LED treatment instrument is too high, it may cause damage to normal biological tissue, but a certain amount of light energy is also needed to play a therapeutic role. Therefore, the present application also analyzes the area proportion of the lesion area in the target irradiation area, adjusts the maximum tolerable power density of the normal area and the minimum effective power density of the lesion area in the target irradiation area according to the area proportion, and then adjusts the power output value of the PCBA board according to the severity of the disease of the tissue at each area point in the target irradiation area, so as to ensure that the lesion area receives sufficient treatment energy while reducing the damage to normal tissue.

[0044] 2. Before treating the diseased tissue, the present application constructs a disease model of the diseased tissue based on the diagnostic data of the patient, then estimates the disease center point of the diseased tissue using a conjecture algorithm, and finally determines the target irradiation area (the exposed area in the covering material for treatment) by taking the disease center point as a reference, so as to further reduce the proportion of normal tissue in the irradiation area and thereby reduce the damage to normal tissue. BRIEF DESCRIPTION OF DRAWINGS

[0045] Figure 1 is a structural schematic diagram of an LED treatment instrument output power automatic adjustment system provided by an embodiment of the present application.

[0046] Figure 2 is a structural schematic diagram of a central processing module provided by an embodiment of the present application.

[0047] Figure 3 is a flowchart of an LED therapeutic instrument output power automatic adjustment method provided by an embodiment of the present application.

[0048] The reference signs are explained as follows: 1, detection module; 2, central processing module; 3, control module; 4, PCBA board; 21, data acquisition unit; 22, data processing unit; 23, data output unit. DETAILED DESCRIPTION

[0049] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in conjunction with the drawings in the embodiments of the specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments.

[0050] In the description of the embodiments of the present application, the words such as "for example" or "for instance" are used to mean an example, illustration or description. Any embodiment or design solution described as "for example" or "for instance" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design solutions. Rather, the words such as "for example" or "for instance" are intended to present the relevant concept in a specific manner.

[0051] In the description of the embodiments of the present application, the term "a plurality of" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are used for description purposes only, and should not be interpreted or implied to indicate or imply relative importance or implicitly indicate the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features. The terms "include", "contain", "have" and their variants mean "include but are not limited to", unless otherwise specifically emphasized.

[0052] The LED therapeutic instrument is a medical instrument for treating diseased tissues by using light energy of different wavelengths. It has many advantages such as non-invasive, high safety, simple operation, wide treatment range and high patient acceptance, and thus has become one of the core instruments in the medical field.

[0053] At present, LED treatment instrument is divided into household treatment instrument and medical treatment instrument, wherein the household treatment instrument can only be applied to the treatment of specific several chronic diseases due to limited power; and for the medical treatment instrument, since it is equipped with a more perfect MCU control system, the treatment range and treatment effect are greatly improved. When using the medical treatment instrument, since the light energy released by the LED acts on the lesion tissue and normal tissue at the same time, a special covering material is usually used to cover the normal tissue, and only the lesion tissue is exposed for treatment, so as to prevent damage to the normal biological tissue.

[0054] However, the above-mentioned special covering material is difficult to take into account the individual differences of different patients during production, so most of them are made by using unified shape and template, which also corresponds to the fact that the irradiation area may contain more normal biological tissue, thereby causing damage to the normal biological tissue during treatment.

[0055] In order to solve the above-mentioned problems, the present application provides an LED treatment instrument output power automatic adjusting system, as shown in Figure 1 The system comprises a detection module 1, a central processing module 2, a control module 3 and a treatment PCBA board 4, wherein:

[0056] The detection module 1 is used for detecting the optical distribution map in the target irradiation area; specifically:

[0057] The target irradiation area is the lesion area ready for phototherapy, and the treatment PCBA board 4 is used to pre-test the LED irradiation of the target irradiation area, and the detection module 1 can detect the optical distribution map of the target irradiation area at this time. Among them, the optical distribution map contains the wavelength distribution reflected by the biological tissue under the irradiation of LED light. It needs to be explained that different biological tissues differ in microstructure, chemical composition and other aspects, and these differences will lead to different optical properties such as light absorption, scattering and reflection, so the biological tissue distribution in the target irradiation area can be determined by analyzing the optical distribution map.

[0058] Before testing the target irradiation area, since the specification of the covering material is fixed, and the specific covering method needs to be judged by artificial experience, which leads to the fact that the proportion of normal tissue in the target irradiation area for treatment may be high, and part of the lesion tissue is covered; in order to solve this problem, as shown in Figure 2 The present application also provides a structure diagram of the central processing module 2, which comprises a data acquisition unit 21, a data processing unit 22 and a data output unit 23, wherein:

[0059] The data acquisition unit 21 is configured to acquire the diagnostic data input by the user. The data acquisition unit 21 can be a display screen capable of human-computer interaction, or a data acquisition interface configured to receive data uploaded by other devices.

[0060] The data processing unit 22 is configured to perform value analysis on the diagnostic data to obtain a plurality of high-value data, wherein the plurality of high-value data includes a lesion position, a lesion type, and a lesion degree. It should be noted that, in this step, principal component analysis is used to extract main characteristic components in the diagnostic data, and data dimensions related to key factors of phototherapy are identified. Then, a support vector machine classification algorithm is used to divide the data into high-value and low-value categories according to the potential influence of the data on the phototherapy effect, and finally the data in the high-value category are taken as the high-value data. After obtaining the plurality of high-value data, the lesion center point can be determined according to the plurality of high-value data. In this step, the lesion model of the lesion tissue is constructed by using the plurality of high-value data. Then, the lesion model is subjected to morphological judgment based on a morphological judgment standard, and the morphology of the lesion model can be any one of a regular morphology, an irregular morphology, and a complex morphology. Therefore, different calculation methods are used to calculate the lesion center point of the lesion model, so as to ensure the accuracy of the lesion center point.

[0061] The regular morphology can use a geometric center algorithm, that is, the lesion center point of the lesion model in the regular morphology can be obtained according to the geometric center calculation formula of various regular shapes. For example, for a circular lesion, the center of the circle is the lesion center point. For an elliptical lesion, the center coordinates of the elliptical equation are the lesion center point. For a rectangular lesion, the intersection point of the two diagonals is the lesion center point.

[0062] The irregular morphology can use a centroid algorithm. The lesion area is regarded as an object composed of many small parts, and each small part has a centroid. The centroid position of the lesion tissue is determined by integrating or summing the centroids of the small parts in the lesion area, and the centroid position is the lesion center point.

[0063] The complex morphology can use a clustering algorithm based on machine learning. Specifically, the K-Means clustering algorithm can be used to divide the data points in the lesion area into different clusters, and each cluster represents a lesion sub-area. Then, the center coordinates of each cluster are calculated, and the center coordinates of the plurality of clusters are averaged to obtain the lesion center point.

[0064] After the lesion center point is determined, the data output unit 23 takes the lesion center point as a reference, so that the blank area for irradiation treatment in the covering material coincides with the target irradiation area, thereby reducing the proportion of normal tissue in the irradiation area, and reducing the damage to the normal tissue in the later irradiation treatment process.

[0065] The central processing module 2 is also used for component division of the optical distribution map to obtain a lesion area and a normal area, specifically:

[0066] Since the optical distribution map reflects the reflection of the biological tissue in the target irradiation area to the LED light, wavelength analysis can be performed on the optical distribution map, the extracted multiple wavelengths are matched with a preset wavelength table, and it is determined which wavelengths belong to the wavelengths of the lesion area and which wavelengths belong to the wavelengths of the normal area, so as to infer the lesion area and the normal area; wherein the preset wavelength table stores the wavelength range corresponding to different biological tissues under the irradiation of different LED lights.

[0067] In a possible implementation, as the use time of the LED treatment instrument is prolonged, the aging of the device itself cannot be avoided, at this time, the light generated from the treatment PCBA board 4 is inconsistent with the light set by the device, thereby causing the extracted wavelengths in the optical distribution map to have matching errors in the preset wavelength table, and further possibly incorrectly determining the normal tissue as the lesion tissue. In order to solve this problem, the present application detects the multiple biological tissue wavelengths in the current optical distribution map through the detection module (1), and then calculates multiple wavelength difference values between the multiple biological tissue wavelengths; it needs to be explained that in the real situation, the wavelength reflected by the lesion tissue is larger than the wavelength reflected by the normal tissue, and the difference is very obvious. Based on this characteristic, the multiple wavelength difference values are threshold judged, thereby realizing the classification of the multiple biological tissue wavelengths, and further determining the biological tissue corresponding to the multiple biological tissue wavelengths. This scheme utilizes the material characteristics between the lesion tissue and the normal tissue, realizes the division of the lesion tissue and the normal tissue, reduces the dependence on the preset wavelength table, and makes the division of the lesion area and the normal area more accurate.

[0068] After identifying the normal tissue and the lesion tissue in the target irradiation area, the central processing module 2 calculates the area ratio of the lesion area and the normal area; then based on the area ratio, the target output power value of the LED treatment instrument is determined, specifically:

[0069] Since the target irradiation area includes both normal areas and lesion areas, and the tolerance levels of normal areas with different proportions are different, the same is true for lesion areas; therefore, the present application obtains biological tissue information of lesion areas and normal areas, and then queries the minimum effective power density corresponding to the lesion area and the maximum tolerable power density corresponding to the normal area from the preset power density table. Among them, the minimum effective power density can be understood as the minimum power density with a therapeutic effect when the lesion area accounts for 100%, and the power density represents the light power received per unit area. The maximum tolerable power density can be understood as the maximum power density that will cause damage when the normal area accounts for 100%. Then, since the two change with the area proportion, the minimum effective power density of the lesion area at this time does not need to reach the minimum effective power density corresponding to the 100% proportion, and the same is true for the normal area. Therefore, according to the area proportion of the two, the two are proportionally reduced, that is, the minimum effective power density is multiplied by the area proportion corresponding to the lesion area to obtain the first power density, and the maximum tolerable power density is multiplied by the area proportion corresponding to the normal area to obtain the second power density.

[0070] Since the severity of the symptoms at the lesion center of the lesion tissue in the target irradiation area is the highest, and the farther away from the lesion center, the lower the severity of the symptoms, in order to take into account the treatment effect of the entire lesion tissue during the irradiation process, this application calculates the severity of the symptoms of multiple regional points in the target irradiation area; it should be explained that the target irradiation area is divided into multiple sub-regions in equal proportion. When the area of ​​a sub-region is small enough, the sub-region can be regarded as a regional point. The multiple regional points in the target irradiation area include normal regional points and lesion regional points. When calculating the severity of the symptoms of regional points, this application uses the following formula:

[0071]

[0072] in, For regional points The severity of the symptoms, is the coordinate of the center point of the disease, is the attenuation coefficient corresponding to the diseased tissue.

[0073] The above formula can be understood as a Gaussian distribution function. The Gaussian distribution function can simulate the law of field strength generated by a point source, that is, it decays according to a certain law as the distance increases, and the pathological law of the lesion tissue shows a trend of spreading outward from the center of the lesion, which is very consistent with the characteristics of the high-speed distribution function. In addition, by setting the attenuation coefficient corresponding to the diseased tissue, the above formula is closer to the patient's diseased tissue. For different diseased tissues, the attenuation coefficient is also different. The attenuation coefficient is obtained from the laboratory analysis of the diseased tissue, so it has higher reliability. It can be understood that in the above formula, region points distance from the center point of the disease indicates that the farther the distance, the smaller the distance, the closer the distance.

[0074] After determining the severity of the disease of the plurality of region points in the target irradiation region, in order to comprehensively consider the treatment effect of the entire lesion region and reduce the damage to normal tissues, the present application calculates the target output power based on the severity of the disease, the first power density and the second power density of the center point of the disease. Specifically, the following formula is used:

[0075]

[0076] where P is the target power value, is the first power density, is the second power density, is the region point coordinate, is the index function of the lesion region, when the region point (x, y) is located in the lesion region, =1, otherwise =0; is the index function of the normal region, when the region point (x, y) is located in the normal region, =1, otherwise =0, and L is the boundary condition of the target irradiation region.

[0077] In the above formula, the numerator part on the right side of the formula is to weight and sum the power density of each region point according to the position of the center point of the lesion. It needs to be explained that the initial value of the power density of each region point is consistent, but the closer the lesion region to the center point of the lesion, the greater the severity of the disease, and the smaller the severity of the disease of the normal region. The farther the distance from the center point of the lesion, the opposite, so that the power density of each region point changes, so as to be more consistent with the lesion condition of the entire biological tissue in the target irradiation region. Then divide by the denominator part on the right side of the formula to average. It needs to be explained that the value of the denominator can be understood as the total number of region points. Through the above formula, the target output power can be accurately determined, and the tissue structure of the entire disease tissue is considered to ensure the best treatment effect of different regions in the target irradiation region.

[0078] After obtaining the target output power, the control module 3 controls the output power value of the treatment PCBA board 4 according to the target output power at this time.

[0079] In a possible implementation, in order to further improve the treatment effect, in the process of controlling the treatment PCBA board 4 to reach the output power value, the central processing module 2 generates a disease degree change curve of the target irradiation area based on the disease severity of the multiple area points; and then converts the disease degree change curve into a power adjustment speed curve of the treatment PCBA board 4, specifically: taking the power value corresponding to the area point with the lowest disease severity as the starting point, and taking the disease degree change curve as the slope, the entire power adjustment speed curve is derived from the starting point; and then the control module 3 controls the power adjustment speed of the treatment PCBA board 4 according to the power adjustment speed curve, so that the lesion tissues with different disease severity can all obtain sufficient treatment time, so as to improve the overall treatment effect.

[0080] The application also provides an LED treatment instrument output power automatic adjustment method, which is applied to an LED treatment instrument output power automatic adjustment system, as shown in Figure 3 The method comprises steps S101 to S105, wherein:

[0081] S101, detecting an optical distribution map in a target irradiation area.

[0082] S102, performing component division on the optical distribution map to obtain a lesion area and a normal area.

[0083] S103, calculating area proportions of the lesion area and the normal area.

[0084] S104, determining a target output power of the LED treatment instrument based on the area proportions.

[0085] S105, controlling an output power value of the treatment PCBA board 4 according to the target output power.

[0086] In the several embodiments provided in the application, it should be understood that the disclosed system can be implemented in other manners. For example, the embodiments of the system described above are merely schematic; the division of the units is only a logical function division; there can be another division manner in actual implementation; for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between the units can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical or other forms.

[0087] The units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments of the present application.

[0088] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0089] If the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application, essentially or in part, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in the various embodiments of the present application. The memory includes various memories such as a U disk, a mobile hard disk, a magnetic disk or an optical disk, and the like, which can store program codes.

[0090] The above is only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the disclosure.

[0091] The present application is intended to cover any variations, uses, or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field of the present disclosure not recorded in the present disclosure. The specification and examples are only considered to be exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. An automatic adjustment system for output power of an LED therapeutic device, characterized in that: The system comprises a detection module (1), a central processing module (2), a control module (3) and a treatment PCBA board (4), wherein: The detection module (1) is used to detect the optical distribution pattern within the target illumination area; The central processing module (2) is used to divide the optical distribution map into components to obtain a lesion area and a normal area, calculate the area ratio of the lesion area to the normal area, and determine the target output power of the LED therapeutic device based on the area ratio; The control module (3) is used to control the output power value of the treatment PCBA board (4) according to the target output power; The central processing module (2) further comprises a data acquisition unit (21), a data processing unit (22) and a data output unit (23), wherein: The data acquisition unit (21) is used to acquire diagnostic data input by a user; The data processing unit (22) is used to perform value analysis on the diagnostic data to obtain a plurality of high-value data, wherein the plurality of high-value data includes lesion location, lesion type and lesion extent; and to determine the lesion center point based on the plurality of high-value data; The data output unit (23) is used to generate the target irradiation area according to the lesion center point; The central processing module (2) is also used to Acquiring biological tissue information of the lesion area and the normal area; According to the biological tissue information of both, querying the minimum effective power density corresponding to the lesion area and the maximum tolerable power density corresponding to the normal area from a preset power density table; Multiplying the minimum effective power density by the area ratio corresponding to the lesion area to obtain a first power density, and multiplying the maximum tolerable power density by the area ratio corresponding to the normal area to obtain a second power density; Calculating the severity of symptoms at multiple points within the target irradiation area; The target output power is calculated based on the severity of the disease, the lesion center, the first power density, and the second power density.

2. The system according to claim 1, wherein: The data processing unit (22) is further configured to construct a lesion model of the lesion tissue using the plurality of high-value data; then perform morphological judgment on the lesion model, and determine an inference algorithm for the lesion center point based on the morphological judgment result; The data output unit (23) is further used to estimate the lesion center point of the lesion model according to the lesion center point estimation algorithm.

3. The system according to claim 1, wherein: The detection module (1) is further used to detect multiple biological tissue wavelengths in the optical distribution map; The central processing module (2) is further configured to calculate a plurality of wavelength differences between a plurality of wavelengths of the biological tissue; Based on the multiple wavelength differences, the multiple biological tissue wavelengths are classified to obtain the lesion area and the normal area.

4. The system according to claim 1, wherein: The calculation of the severity of the symptoms at multiple points in the target irradiation area is specifically performed using the following formula: ； in, For regional points The severity of the disease, is the coordinate of the center point of the disease, is the attenuation coefficient corresponding to the diseased tissue.

5. The system according to claim 4, characterized in that The target output power scheme is calculated based on the severity of the disease, the lesion center, the first power density, and the second power density, specifically using the following formula: ； Where P is the target power value, is the first power density, is the second power density, are the coordinates of the regional points, is the index function of the lesion area. When the regional point (x, y) is located in the lesion area, =1, otherwise =0; is the indicator function of the normal area. When the area point (x, y) is located in the normal area, =1, otherwise =0, L is the boundary condition of the target irradiation area.

6. The system according to claim 1, wherein: The central processing module (2) is also used to generating a symptom severity change curve of the target irradiation area based on the symptom severity of the plurality of area points; Generating a power adjustment speed curve for adjusting the treatment PCBA board (4) to the target output power according to the symptom severity change curve; The control module (3) is further used to control the power adjustment speed of the treatment PCBA board (4) according to the power adjustment speed curve.

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