Burn skin postoperative massage effect evaluation method

Abstract

The invention relates to the technical field of burn rehabilitation, is used for solving the problem of lack of means for quantitatively detecting the rehabilitation process of burn skin postoperative massage, and particularly provides a burn skin postoperative massage effect evaluation method. According to the method, data images of burnt skin of a patient are collected in real time through a camera, the images are preprocessed and then subjected to image segmentation processing, after the images are segmented into a plurality of small modules, burn degree identification is conducted on the small modules, after identification is completed, an algorithm formula is constructed for data processing, and the average burn degree and the burn uniformity are obtained; therefore, the recovery condition of the burn patient is analyzed.

Description

Technical field:

[0001] The invention relates to the technical field of burn rehabilitation, and in particular to a method for evaluating massage effect after burn skin surgery. Background technology:

[0002] Burns are a sudden, difficult to control injury that seriously affects the quality of life of patients. They not only cause great physical trauma to patients, but also cause severe psychological stress. Even if patients undergo surgical treatment, they will find it difficult to return to society and play a normal social role again without professional rehabilitation and care. Massage therapy plays an important role in the rehabilitation of burn patients. It not only helps relieve pain and discomfort, but also has a significant effect on promoting wound healing, preventing scar hyperplasia and contracture, and improving joint mobility and muscle function. In-depth research on the quantitative detection of the rehabilitation process of postoperative massage of burn skin can promote the innovation and development of medical technology, promote scientific research results in related fields, and provide better technical support for future massage therapy for burns.

[0003] Nowadays, there are still some deficiencies in the research on the evaluation methods of postoperative massage effect of burn skin. Specifically, the traditional evaluation of postoperative massage effect of burn skin lacks the collection and processing of key data in the rehabilitation process of burn patients, resulting in the collected data being unreliable, and often based on manual evaluation, unable to comprehensively collect key data, resulting in the objectivity and accuracy of the evaluation results being affected. Moreover, manual evaluation is easily affected by subjective factors, and different observers may have different evaluation results, lacking consistency and comparability, affecting the scientificity and accuracy of the evaluation. Traditional evaluation methods are difficult to collect data continuously, and cannot monitor and analyze the dynamic changes of postoperative massage effect of burn skin in real time. Manual evaluation requires a lot of manpower and time, and is prone to omissions and errors, limiting the efficiency and accuracy of the evaluation. Summary of the invention:

[0004] In view of the deficiencies in the prior art, the present invention provides a method for evaluating the massage effect of burn skin after surgery, which can effectively solve the problems involved in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0006] A method for evaluating the effect of postoperative massage on burn skin, characterized in that it comprises a burn rehabilitation assessment processing unit, a burn rehabilitation data set acquisition unit and a burn rehabilitation assessment analysis unit, wherein: the burn rehabilitation assessment processing unit is used to collect data images of burn patients in real time, and perform image segmentation processing after preprocessing the data images; the burn rehabilitation data set acquisition unit identifies the degree of burn based on the segmented image small modules to acquire a burn degree data set; the burn rehabilitation assessment analysis unit constructs an algorithm formula based on the acquired burn degree data set to obtain an average burn degree and a burn uniformity, and analyzes the rehabilitation of burn patients in combination with the average burn degree and the burn uniformity.

[0007] Preferably, the burn rehabilitation assessment processing unit collects data images of burn patients in real time by using a camera, and preprocesses the collected data images including adjusting the image size and normalization operations. After the preprocessing is completed, image segmentation processing is performed to divide the image into n small modules of 5*5.

[0008] Preferably, the burn rehabilitation status data set acquisition unit identifies the burn degree of the n small modules after image segmentation, marks first-degree burns as 0, shallow second-degree burns as 1, deep second-degree burns as 2, and third-degree burns as 3. After all identifications are completed, a burn degree data set is constructed.

[0009] Preferably, the burn rehabilitation assessment and analysis unit constructs an algorithm formula based on the acquired burn degree data set to obtain the standard deviation of all skin burn degrees; The standard deviation σ (Burn Degree) of all skin burn degrees is calculated by the following standard deviation algorithm formula: Where n total Indicates the total number of skin blocks in the image segmentation, Burn Degree i represents the burn degree of the ith skin block, and Average Burn Degree represents the average burn degree of all skin blocks.

[0010] Preferably, the burn rehabilitation assessment and analysis unit constructs an algorithm formula based on the acquired burn degree data set to obtain the average burn degree and burn uniformity; The extracted average burn degree characteristics are loaded into the average burn degree algorithm formula to calculate and obtain the average burn degree ΔAverage Burn Degree; The average burn degree ΔAverage Burn Degree is calculated by the following average burn degree algorithm formula: Where n total Indicates the total number of skin patches, ΔBurn Degree i is the change in the burn degree of the ith skin area, indicating the change in the burn degree of the area after treatment; The extracted burn uniformity features are loaded into the burn uniformity algorithm formula to calculate and obtain the burn uniformity ΔBurn Uniformity; The burn uniformity ΔBurn Uniformity is calculated by the following burn uniformity algorithm formula: Wherein, σ(Burn Degree) represents the standard deviation of the burn degree of all skin blocks, and Average Burn Degree represents the average value of the burn degree of all skin blocks. The recovery of burn patients was evaluated based on the average burn extent and burn uniformity obtained; The specific analysis plan is as follows: When the average burn degree and burn uniformity are reduced, it means that the patient's burn recovery is normal, and the current massage method and intensity should be continued; When the average burn degree and burn uniformity obtained do not change significantly or increase, it means that the patient's burn recovery is abnormal, and the massage method or intensity should be adjusted.

[0011] The present invention provides a method for evaluating the massage effect of burn skin after surgery, which has the following beneficial effects:

[0012] 1. The present invention can collect data images of burn patients in real time by using a camera, preprocess the collected data images including adjusting the image size and normalization operations, and perform image segmentation after the preprocessing is completed. Such a real-time data collection and processing mechanism can continuously track the patient's recovery status and provide timely basic data support for subsequent analysis.

[0013] 2. The present invention obtains a burn degree data set as an analytical basis for evaluating the postoperative massage rehabilitation of burned skin, and can perform individualized evaluation, taking into account the individual's special circumstances and physiological characteristics, which is closer to the actual situation and improves the accuracy and credibility of the evaluation results.

[0014] 3. The present invention constructs a corresponding algorithm formula by using the acquired burn degree data set to calculate the average burn degree ΔAverage Burn Degree and the burn uniformity ΔBurn Uniformity, thereby analyzing the rehabilitation process of burn patients, which can provide a more comprehensive and accurate understanding of the conditions of burn patients and help improve the accuracy of assessment. Description of the drawings:

[0015] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0016] Figure 1 A schematic diagram of a process for evaluating massage effect of burn skin surgery according to the present invention;

[0017] Figure 2 This is a schematic diagram of the steps for evaluating the massage effect of burn skin surgery according to the present invention. Specific implementation method:

[0018] The technical solution of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Example 1: Please refer to Figure 1 , the present invention provides a method for evaluating the massage effect of burn skin after surgery. To achieve the above purpose, the present invention is implemented through the following technical scheme: including a burn rehabilitation situation evaluation processing unit, a burn rehabilitation situation data set acquisition unit and a burn rehabilitation situation evaluation analysis unit; The burn rehabilitation assessment processing unit is used to collect data images of burn patients in real time, and perform image segmentation after preprocessing the data images; The burn rehabilitation data set acquisition unit identifies the burn degree based on the segmented image modules to acquire the burn degree data set; The burn rehabilitation assessment and analysis unit constructs an algorithm formula based on the acquired burn degree data set to obtain the average burn degree and burn uniformity, and analyzes the rehabilitation status of the burn patients based on the average burn degree and burn uniformity.

[0020] In this embodiment, the method forms a complete rehabilitation data collection, processing and analysis mechanism by integrating a burn rehabilitation situation assessment processing unit, a burn rehabilitation situation data set acquisition unit and a burn rehabilitation situation assessment and analysis unit. The burn rehabilitation situation assessment processing unit collects data images in real time through a camera, and performs preprocessing and image segmentation on these data images. The burn rehabilitation situation data set acquisition unit generates a burn degree data set based on the segmented image modules, providing a basis for subsequent analysis. This systematic data flow ensures the integrity and consistency of information in the rehabilitation process, realizes real-time monitoring and precise analysis, and effectively records the rehabilitation process of burn patients. Based on the acquired burn degree data set, the burn rehabilitation situation assessment and analysis unit constructs the calculation formulas for the average burn degree ΔAverage Burn Degree and the burn uniformity ΔBurn Uniformity to comprehensively evaluate the rehabilitation status of burn patients. Compared with traditional rehabilitation monitoring methods, this assessment method is more sophisticated and comprehensive, allowing a more accurate judgment of the rehabilitation status of burn patients.

[0021] Example 2: This example is an explanation of Example 1. Figure 1 Specifically: The burn rehabilitation assessment processing unit collects data images of burn patients in real time by using a camera, and preprocesses the collected data images including adjusting the image size and normalization operations. After the preprocessing is completed, image segmentation processing is performed to divide the image into n small modules of 5*5.

[0022] In this embodiment, the burn recovery status assessment and processing unit realizes real-time acquisition of data images of burn patients by using a camera, and pre-processes the collected data images including adjusting the image size and normalization operations. After the pre-processing is completed, image segmentation is performed. Such a real-time data acquisition and processing mechanism can continuously reflect the patient's recovery status and ensure the timeliness of the basic data required for subsequent analysis.

[0023] Example 3: This example is an explanation of Example 2. Figure 1 Specifically: the burn rehabilitation data set acquisition unit identifies the burn degree of the n small modules after image segmentation, marks the first-degree burn as 0, the shallow second-degree burn as 1, the deep second-degree burn as 2, and the third-degree burn as 3. After all the identifications are completed, the burn degree data set is constructed.

[0024] In this embodiment, the burn rehabilitation status data set acquisition unit obtains the burn degree data set as the analysis basis for evaluating the postoperative massage rehabilitation status of the burned skin, and can perform an individualized evaluation, taking into account the individual's special circumstances and physiological characteristics, which is closer to the actual situation and ensures the accuracy and credibility of the evaluation results.

[0025] Example 4: This example is an explanation of Example 3. Figure 1 ,Specifically: the burn rehabilitation situation evaluation and analysis unit constructs an algorithm formula based on the acquired burn degree data set to obtain the standard deviation of all skin burn degrees; The standard deviation σ (Burn Degree) of all skin burn degrees is calculated using the following standard deviation algorithm formula: Where n total Indicates the total number of skin blocks in the image segmentation, Burn Degree i represents the burn degree of the ith skin block, and Average Burn Degree represents the average burn degree of all skin blocks.

[0026] The burn rehabilitation assessment and analysis unit constructs an algorithm formula based on the acquired burn degree data set to obtain the average burn degree and burn uniformity; The extracted average burn degree characteristics are loaded into the average burn degree algorithm formula to calculate and obtain the average burn degree ΔAverage Burn Degree; The average burn degree ΔAverage Burn Degree is calculated by the following average burn degree algorithm formula: Where n total Indicates the total number of skin patches, ΔBurn Degree i is the change in the burn degree of the ith skin area, indicating the change in the burn degree of the area after treatment; The extracted burn uniformity features are loaded into the burn uniformity algorithm formula to calculate and obtain the burn uniformity ΔBurn Uniformity; The burn uniformity ΔBurn Uniformity is calculated by the following burn uniformity algorithm formula: Wherein, σ(Burn Degree) represents the standard deviation of the burn degree of all skin blocks, and Average Burn Degree represents the average value of the burn degree of all skin blocks. The recovery of burn patients was evaluated based on the average burn extent and burn uniformity obtained; The specific analysis plan is as follows: When the average burn degree and burn uniformity are reduced, it means that the patient's burn recovery is normal, and the current massage method and intensity should be continued; When the average burn degree and burn uniformity obtained do not change significantly or increase, it means that the patient's burn recovery is abnormal, and the massage method or intensity should be adjusted.

[0027] In this embodiment, the burn rehabilitation assessment and analysis unit constructs a corresponding algorithm formula by using the acquired burn degree data set to calculate the average burn degree ΔAverage Burn Degree and the burn uniformity ΔBurn Uniformity, thereby analyzing the rehabilitation process of the burn patient, which can provide a more comprehensive and accurate understanding of the burn patient's condition and help improve the assessment accuracy.

[0028] Example 5: Please refer to Figure 1 and Figure 2 In an embodiment of the present invention, a method for evaluating the massage effect of burn skin after surgery comprises the following steps: S1: Collect data images of the patient's burned skin in real time through a camera and send them to an image preprocessing module; S2: After receiving the data image in real time, pre-process the image and then perform image segmentation processing; S3: performing burn degree recognition, and obtaining a burn degree dataset based on the image small modules obtained after segmentation; S4: constructing an algorithm formula set, performing loading calculations based on the acquired burn degree data set, and obtaining the average burn degree and burn uniformity; S5: Integrate the output of average burn degree and burn uniformity to analyze the recovery of burn patients.

[0029] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A method for evaluating the massage effect of burn skin after surgery, characterized in that: It includes a burn rehabilitation assessment processing unit, a burn rehabilitation data set acquisition unit and a burn rehabilitation assessment analysis unit, wherein: The burn rehabilitation assessment processing unit is used to collect data images of burn patients in real time, and perform image segmentation after pre-processing the data images; The burn rehabilitation data set acquisition unit identifies the burn degree based on the segmented image modules to acquire a burn degree data set; The burn rehabilitation assessment and analysis unit constructs an algorithm formula based on the acquired burn degree data set to obtain the average burn degree and burn uniformity, and analyzes the rehabilitation status of the burn patient in combination with the average burn degree and burn uniformity.

2. A method for evaluating the effect of massage after burn skin surgery according to claim 1, characterized in that: The burn rehabilitation assessment processing unit collects data images of burn patients in real time by using a camera, performs preprocessing on the collected data images including adjusting the image size and normalizing operations, and performs image segmentation processing after the preprocessing is completed to segment the image into n small modules of 5*5.

3. The method for evaluating the massage effect of burn skin after surgery according to claim 1, characterized in that: The burn rehabilitation data set acquisition unit identifies the burn degree of the n small modules after the image segmentation, marks the first degree burn as 0, the shallow second degree burn as 1, the deep second degree burn as 2, and the third degree burn as 3. After all the identifications are completed, a burn degree data set is constructed.

4. The method for evaluating the massage effect of burn skin after surgery according to claim 1, characterized in that: The burn rehabilitation assessment and analysis unit constructs an algorithm formula based on the acquired burn degree data set to obtain the standard deviation of all skin burn degrees; The standard deviation σ (Burn Degree) of all skin burn degrees is calculated by the following standard deviation algorithm formula: Where n total Indicates the total number of skin blocks in the image segmentation, Burn Degree i represents the burn degree of the ith skin block, and Average Burn Degree represents the average burn degree of all skin blocks.

5. A method for evaluating the massage effect of burn skin after surgery according to claim 4, characterized in that: The burn rehabilitation assessment and analysis unit constructs an algorithm formula based on the acquired burn degree data set to obtain the average burn degree and burn uniformity; The extracted average burn degree characteristics are loaded into the average burn degree algorithm formula to calculate and obtain the average burn degree ΔAverage Burn Degree; The average burn degree ΔAverage Burn Degree is calculated by the following average burn degree algorithm formula: Where n total Indicates the total number of skin patches, ΔBurn Degree i is the change in the burn degree of the ith skin area, indicating the change in the burn degree of the area after treatment; The extracted burn uniformity features are loaded into the burn uniformity algorithm formula to calculate and obtain the burn uniformity ΔBurn Uniformity; The burn uniformity ΔBurn Uniformity is calculated by the following burn uniformity algorithm formula: Wherein, σ(Burn Degree) represents the standard deviation of the burn degree of all skin blocks, and Average Burn Degree represents the average value of the burn degree of all skin blocks; The recovery of burn patients was evaluated based on the average burn extent and burn uniformity obtained; The specific analysis plan is as follows: When the average burn degree and burn uniformity are reduced, it means that the patient's burn recovery is normal, and the current massage method and intensity should be continued; When the average burn degree and burn uniformity obtained do not change significantly or increase, it means that the patient's burn recovery is abnormal, and the massage method or intensity should be adjusted.

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