Medical data intelligent analysis method and system

Abstract

The invention provides a medical data intelligent analysis method and system, and the method comprises the steps: determining a medical restoration mode corresponding to a medical posture feature based on the difference feature between the medical posture feature corresponding to a current patient and a standard posture feature, and the medical restoration mode comprises a single restoration mode and a combined restoration mode; constructing a feature repair model having a feature repair relationship with the difference features based on the medical repair mode; and responding to interaction of the current patient on any feature adjustment node of the feature restoration model, and dynamically adjusting the feature adjustment node. According to the invention, at least the customization demand corresponding to the current patient is realized.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to a medical data intelligent analysis method and system. Background Art

[0002] In modern medicine, prosthetic technology is crucial for the rehabilitation and quality of life of patients with limb loss. For patients with limb loss, the loss of a limb not only causes physical trauma but also has profound impacts on their daily lives, psychological well-being, and other aspects. Prosthetic technology has become a crucial bridge for them to reintegrate into normal life and regain their confidence. From a physical rehabilitation perspective, suitable prosthetics can effectively compensate for the functional impairments caused by limb loss. For example, lower-limb prostheses can assist patients in standing and walking again, reducing the burden on their remaining limbs and preventing muscle strain and joint deformities caused by long-term compensatory movements. Upper-limb prostheses help patients regain basic motor skills such as grasping and manipulating objects, enabling them to take care of themselves and complete daily activities such as dressing, eating, and washing. This significantly improves patients' level of independence, reduces their dependence on others, and creates favorable conditions for the recovery of their physical functions.

[0003] However, traditional prosthetics have numerous limitations in terms of fit and functionality, making them difficult to meet the growing needs of patients. For example, traditional prosthetics are often standard products, meaning they cannot be customized to meet the patient's needs. This can reduce the fit between the prosthesis and the patient, making it impossible to meet the patient's actual needs.

[0004] Therefore, there is an urgent need for a medical data intelligent analysis method and system to achieve customized settings of corresponding prostheses based on the actual needs of the current patient. Summary of the Invention

[0005] Based on the above problems, the present invention is proposed to provide a medical data intelligent analysis method and system that overcomes the above problems or at least partially solves the above problems.

[0006] According to one aspect of the present invention, a method for intelligent analysis of medical data is provided, comprising the following steps: Determining a medical restoration method corresponding to the medical posture characteristics based on the difference between the medical posture characteristics of the current patient and the standard posture characteristics, wherein the medical restoration method includes a single restoration method and a combined restoration method; Constructing a feature repair model having a feature repair relationship with the difference feature based on the medical repair method; In response to the current patient's interaction with any feature adjustment node located in the feature repair model, the feature adjustment node is dynamically adjusted.

[0007] Optionally, in the method according to the present invention, determining a medical repair method corresponding to the medical posture feature based on the difference between the medical posture feature of the current patient and the standard posture feature includes: Establish height comparison intervals and weight comparison intervals based on the historical body height and historical body weight of the current patient; Retrieving a sample data set, including sub-data of each sample corresponding to different sample body heights and sample body weights; In response to the sample body height and the sample body weight corresponding to the same sample sub-data being respectively located in the height comparison interval and the weight comparison interval, the sample body features corresponding to the sample sub-data are aggregated into the standard database; Determine the sample body shape feature in the standard database that has the greatest similarity to the medical body shape feature as the standard body shape feature; Dividing the standard body features into features corresponding to different feature categories, and in response to the medical body features not including any of the obtained sub-features of the category, determining the sub-feature of the category as a difference feature, wherein the feature categories include a leg category and a hand category; A medical repair method corresponding to the medical posture characteristics is determined based on the difference characteristics.

[0008] Optionally, in the method according to the present invention, in response to the medical posture feature not including any of the obtained category sub-features, determining the category sub-feature as a difference feature includes: Establishing a medical posture model and a standard posture model based on the medical posture characteristics and the standard posture characteristics, respectively, and dividing the standard posture model based on each category sub-feature to obtain each feature sub-model; The medical posture model is compared with the standard posture model for overlap, and in response to a model overlap between the medical posture model and any feature sub-model being less than a preset overlap threshold, it is determined that the medical posture feature does not include a category sub-feature corresponding to the feature sub-model.

[0009] Optionally, in the method according to the present invention, determining a medical repair method corresponding to the medical posture feature based on the difference feature includes: In response to the difference features including two having the same feature category, determining the medical repair methods corresponding to the medical posture features as a combined repair method; In response to the difference features including at least one having different feature categories, a medical repair method corresponding to the medical posture feature is determined as a single repair method.

[0010] Optionally, in the method according to the present invention, the medical repair method is a single repair method; Constructing a feature repair model having a feature repair relationship with the difference feature based on the medical repair method, including: Determine a category sub-feature of the medical posture feature that has the same feature category as the difference feature as a mapping sub-feature, and obtain a mapping sub-model corresponding to the mapping sub-feature in the medical posture model; Based on the characteristic symmetry direction corresponding to the difference feature, a repair sub-model having a symmetrical relationship with the mapping sub-model is generated, and when the repair sub-model has a model overlap with the medical posture model, the repair sub-model is updated to obtain a characteristic repair model having a characteristic repair relationship with the difference feature.

[0011] Optionally, in the method according to the present invention, the medical repair method is a combined repair method; Constructing a feature repair model having a feature repair relationship with the difference feature based on the medical repair method, including: Determining, in the medical body posture model, a feature submodel having a feature connection relationship with the difference feature as a connection submodel, and determining, based on the connection submodel, whether there is a model part adjacent to the connection submodel and not belonging to any category of subfeatures; If it does not exist, determining a connection size based on the connection sub-model, and updating a feature sub-model corresponding to the difference feature in the standard body model based on the connection size to obtain a feature restoration model having a feature restoration relationship with the difference feature; If it exists, the connection size is determined based on the model part, and the feature sub-model corresponding to the difference feature in the standard body model is updated based on the connection size to obtain a feature repair model having a feature repair relationship with the difference feature.

[0012] Optionally, in the method according to the present invention, in response to the current patient's interaction with any feature adjustment node located in the feature repair model, dynamically adjusting the feature adjustment node includes: Dividing the feature repair model into nodes along the length direction of the feature repair model to obtain feature adjustment nodes having the same preset spacing, and obtaining a length centerline of the feature repair model corresponding to the length direction; In response to the current patient performing a drag interaction on any feature adjustment node, determining a drag length in a width direction corresponding to the drag interaction, and comparing the drag length with a preset adjustment interval corresponding to the difference feature; Determine that the drag length is within the preset adjustment range, and dynamically adjust the feature adjustment node to correspond to the drag length based on the drag direction of the length centerline corresponding to the drag interaction, wherein the drag direction includes an approaching direction and a moving away direction.

[0013] Optionally, in the method according to the present invention, the method further comprises: In response to any characteristic adjustment node, dynamic adjustment is performed, the characteristic adjustment node is determined as a target adjustment node, and an adjustment linkage quantity is calculated based on the product between the drag length and the retrieved preset linkage coefficient; Determine other feature adjustment nodes located on both sides of the target adjustment node along the length direction and corresponding to the number of adjustment linkages as a node linkage group, and configure adjustment weights of each feature adjustment node in the node linkage group from small to large based on the distance relationship between the feature adjustment node and the target adjustment node; The drag length is multiplied by each adjustment weight, and based on the obtained linkage length, the feature adjustment node in the node linkage group is dynamically adjusted in the same drag direction as the target adjustment node.

[0014] Optionally, in the method according to the present invention, the method further comprises: Sending the feature repair model to the medical production end; Controlling the medical production end to produce based on the characteristic repair model to obtain a characteristic repair prosthesis, wherein the characteristic repair prosthesis includes a reference prosthesis frame corresponding to the length centerline and a bionic layer wrapping the reference prosthesis frame, wherein a support body corresponding to each characteristic adjustment node is provided between the bionic layer and the reference prosthesis frame; In response to dynamic adjustment of any characteristic adjustment node, a preset support distance between the reference prosthetic frame and the bionic layer corresponding to the characteristic adjustment node is updated based on the drag length.

[0015] According to another aspect of the present invention, a method for intelligent analysis of medical data is provided, comprising the following steps: Determining a medical restoration method corresponding to the medical posture characteristics based on the difference between the medical posture characteristics of the current patient and the standard posture characteristics, wherein the medical restoration method includes a single restoration method and a combined restoration method; Constructing a feature repair model having a feature repair relationship with the difference feature based on the medical repair method; In response to the current patient's interaction with any feature adjustment node located in the feature repair model, the feature adjustment node is dynamically adjusted.

[0016] According to the solution of the present invention, the present invention can establish intervals by comparing the patient's historical body height and weight, screen sample data to determine standard body characteristics, and then find out the difference characteristics, so that the medical repair method for the patient is more targeted. Whether it is a single repair or a combined repair, it can be formulated based on actual differences, improve the adaptability of the prosthesis, avoid discomfort and functional limitations caused by improper repair methods, and provide patients with a comfortable and effective prosthetic experience. Efficiently construct a feature repair model. According to different repair methods, the sub-features in the medical body model and the standard body model are cleverly used to construct a repair model; among them, corresponding to a single repair method, a symmetrical repair sub-model can be generated based on the mapping sub-features; corresponding to the combined repair method, it is necessary to fully consider the feature connection relationship. The constructed model is highly consistent with the patient's actual needs, providing an accurate blueprint for prosthetic production, ensuring the effective realization of prosthetic functions, and helping patients better restore limb functions. In addition, the current patient can dynamically adjust the feature adjustment node through simple drag and drop interaction. It is not only convenient to operate, but also the adjustment process is scientific and reasonable to meet the patient's customized needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flowchart of a medical data intelligent analysis method according to an embodiment of the present invention is shown.

[0018] Figure 2 A structural diagram of the feature repair model in this embodiment is shown.

[0019] Figure 3 A structural block diagram of a medical data intelligent analysis system according to another embodiment of the present invention is shown. DETAILED DESCRIPTION

[0020] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided 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.

[0021] To address the aforementioned problems in the prior art, the inventors have proposed the present invention. One embodiment of the present invention provides a method for intelligent analysis of medical data, which can be executed on a computing device. The computing device can be understood as a terminal with data processing capabilities, such as a mobile phone or computer.

[0022] Figure 1 FIG. 1 shows a flow chart of a medical data intelligent analysis method according to an embodiment of the present invention. Figure 1As shown, the method proposed in this embodiment begins with step S101, and in step S101, includes the following contents: Based on the difference between the medical posture characteristics of the current patient and the standard posture characteristics, a medical repair method corresponding to the medical posture characteristics is determined, wherein the medical repair method includes a single repair method and a combined repair method.

[0023] It can be explained that, in this embodiment, the current patient is generally understood to be a patient with missing limbs, wherein the missing limbs generally include hand limbs and leg limbs. In order to ensure the convenience of the current patient in daily activities, the medical structure will generally design corresponding prostheses (such as mechanical hands or mechanical legs) for the current patient according to the patient's disability, for the current patient to install and use.

[0024] In the actual process, in order to carry out treatment corresponding to the current patient based on the prosthesis, it is necessary to first determine the defective part corresponding to the current patient. Therefore, it is necessary to perform corresponding feature comparison based on the medical posture characteristics of the current patient and the standard posture characteristics of the standard human body to determine the difference characteristics. It can be understood that the standard human body can be understood as a human body with healthy limbs, the medical posture characteristics can be understood as the physical condition of the current patient, and the standard posture characteristics can be understood as the physical condition of the standard human body. Here, by comparing the two features, the defective part corresponding to the current patient, that is, the difference characteristics, can be determined. Moreover, it can be known that under normal circumstances, since the hand limbs and the leg limbs each include two, the corresponding medical repair method can be determined based on the obtained difference characteristics. The medical repair method may include a single repair method and a combined repair method. Among them, the single repair method corresponds to the situation where one limb is intact and the other limb is disabled, and the combined repair method corresponds to the situation where two limbs are disabled at the same time. The limbs here mainly represent hand limbs or leg limbs.

[0025] Furthermore, in this embodiment, the above-mentioned “determining a medical restoration method corresponding to the medical posture characteristics based on the difference characteristics between the medical posture characteristics of the current patient and the standard posture characteristics” may further include the following steps: Establish height comparison intervals and weight comparison intervals based on the historical body height and historical body weight of the current patient; Retrieving a sample data set, including sub-data of each sample corresponding to different sample body heights and sample body weights; In response to the sample body height and the sample body weight corresponding to the same sample sub-data being respectively located in the height comparison interval and the weight comparison interval, the sample body features corresponding to the sample sub-data are aggregated into the standard database; Determine the sample body shape feature in the standard database that has the greatest similarity to the medical body shape feature as the standard body shape feature; Dividing the standard body features into features corresponding to different feature categories, and in response to the medical body features not including any of the obtained sub-features of the category, determining the sub-feature of the category as a difference feature, wherein the feature categories include a leg category and a hand category; A medical repair method corresponding to the medical posture characteristics is determined based on the difference characteristics.

[0026] For example, in this embodiment, the specific implementation of determining the medical repair method based on the difference characteristics can be based on the following process: First, height comparison intervals and weight comparison intervals can be established based on the historical height and weight of the current patient. In this way, the patient's personal body data can be quantified, providing a basis for subsequent screening of suitable sample data, helping to accurately match samples with similar body shapes to the patient and improve the accuracy of adaptive prosthetic design. It should be noted that historical height and weight can be understood as the height and weight of the current patient when his limbs were healthy. Then, a sample data set is retrieved, which includes sub-data corresponding to different sample heights and sample weights. It can be shown that this sample data set covers a rich variety of body shape data, providing sufficient reference information for subsequent comparison and screening. It makes it possible to find samples with similar body shapes to the patient from a large amount of data, thereby providing a basis for determining more appropriate standard body shape characteristics; Next, in response to the sample body height and sample body weight corresponding to the same sample sub-data being respectively within the height comparison interval and the weight comparison interval, the sample body features corresponding to the sample sub-data are aggregated into a standard database. By establishing a corresponding standard database, sample body features similar to the current patient's body shape can be screened out, facilitating subsequent further screening of the most matching standard body features, reducing unnecessary data interference, and improving data processing efficiency and accuracy; Next, the sample body shape feature in the standard database that has the greatest similarity to the medical body shape feature is determined as the standard body shape feature. This process can find the standard body shape feature that best matches the current patient's medical body shape feature from the screened similar samples, making the subsequent difference analysis and prosthetic limb design more targeted, better fitting the actual needs of the current patient, and improving the adaptability of the prosthesis. Subsequently, the standard posture features are divided into features corresponding to different feature categories, and in response to the medical posture features not including any of the obtained sub-features of a category, the sub-feature of that category is determined as a difference feature. It can be explained that the feature categories include leg categories and hand categories. That is, through feature division and determination of difference features, the difference between the patient's medical posture and the standard posture can be clearly identified, and the part that needs to be repaired in the prosthetic design can be clarified, providing a key basis for formulating accurate medical repair methods. Finally, after completing the acquisition of the corresponding difference features, the medical repair method corresponding to the medical posture features can be determined based on the difference features. It can be explained that accurate determination of the difference features can guide the selection of appropriate medical repair methods, such as a single repair method or a combined repair method, thereby laying the foundation for designing adaptive prostheses that better meet the actual needs of patients, helping patients to obtain a better use experience, and enhancing the effect of prostheses on improving the quality of life of patients; a single repair method refers to a repair method corresponding to the situation where one limb is intact and the other limb is defective, while a combined repair method refers to a repair method corresponding to the situation where both limbs are defective at the same time.

[0027] Furthermore, in this embodiment, the above-mentioned “in response to the medical posture feature not including any of the obtained category sub-features, determining the category sub-feature as a difference feature” may further include the following steps: Establishing a medical posture model and a standard posture model based on the medical posture characteristics and the standard posture characteristics, respectively, and dividing the standard posture model based on each category sub-feature to obtain each feature sub-model; The medical posture model is compared with the standard posture model for overlap, and in response to a model overlap between the medical posture model and any feature sub-model being less than a preset overlap threshold, it is determined that the medical posture feature does not include a category sub-feature corresponding to the feature sub-model.

[0028] For example, in this embodiment, the determination of the difference feature may be specifically performed based on the following implementation: First, a medical posture model and a standard posture model can be established based on the medical posture characteristics of the current patient and the standard posture characteristics of the standard human body. By constructing these two models, abstract posture characteristics can be visualized and presented intuitively in the form of models, which facilitates the subsequent systematic analysis and comparison of different posture characteristics, provides an intuitive model basis for accurately identifying differential characteristics, and improves the accuracy and efficiency of differential feature determination. Then, the standard body model is divided based on each category sub-feature to obtain each feature sub-model. The standard body model is then carefully disassembled and classified according to preset category sub-features, such as leg category and hand category. This makes the structure and composition of the standard body model clearer and more specific, facilitating targeted comparison with the medical body model. Specific differences can be more accurately located, providing a key model architecture for subsequent accurate judgment of difference characteristics. Next, by comparing the medical body model with the standard body model, the overlap of the two models can be analyzed during the comparison process, and the similarities and differences between the medical body model and the standard body model can be directly observed. The degree of difference between the two can be grasped as a whole, providing a macro comparison basis for further accurate determination of the difference characteristics. Finally, when it is determined that the model overlap between the medical posture model and any feature sub-model is less than the preset overlap threshold, it can be determined that the medical posture feature does not include the category sub-feature corresponding to the feature sub-model. It can be explained that the preset overlap threshold is used as a quantitative standard for judging the difference feature, which ensures the scientificity and objectivity of the judgment process. That is, when the overlap between the medical posture model and a certain feature sub-model is lower than the threshold, it can be clearly determined that the category sub-feature is the missing part of the current medical posture feature, that is, the difference feature. This judgment method can accurately locate the difference and provide a clear direction for the precise repair of these differences in the subsequent prosthetic design, thereby improving the adaptability of the prosthesis, better meeting the needs of patients, and helping patients to obtain a more comfortable and closer to natural limb function prosthetic experience.

[0029] It can be further explained that in actual scenarios, the missing parts of some current patients may be the entire hand or the entire leg. In this case, the model overlap of the corresponding feature sub-model should be 0, while the missing parts of some current patients may be part of the hand or the leg. In this case, the model overlap of the corresponding feature sub-model should not be 0.

[0030] In addition, in this embodiment, the above-mentioned “determining the medical repair method corresponding to the medical posture feature based on the difference feature” may further include the following steps: In response to the difference features including two having the same feature category, determining the medical repair methods corresponding to the medical posture features as a combined repair method; In response to the difference features including at least one having different feature categories, a medical repair method corresponding to the medical posture feature is determined as a single repair method.

[0031] For example, in this embodiment, after the difference characteristics are determined, the corresponding medical repair method can be determined based on the following implementation methods: First, we can conduct a comprehensive analysis and identification of the identified differential features. In this process, we can know that it is crucial to clearly define the feature category to which the differential features belong, as this is directly related to the selection of subsequent repair methods. Then, the composition of the difference features is determined. If the difference features include two features of the same feature category (for example, the leg category includes two difference features, which means the patient is missing both legs), the medical prosthetic method corresponding to the medical posture feature needs to be determined as a combined prosthetic method, which means that the subsequent prosthetic design needs to be based on both missing difference features of the same feature category. Finally, if it is determined that the difference feature includes at least one with different feature categories (for example, the leg category includes only one difference feature, that is, only one leg limb is currently missing), the medical repair method corresponding to the medical posture feature needs to be determined as a single repair method, that is, the subsequent prosthetic limb design can be carried out only for the missing one difference feature.

[0032] It can be explained that when a single repair method is used, it is necessary to consider whether the subsequently designed prosthesis can have corresponding symmetry with the patient's other intact limb and overall harmony with the current patient. When a combined repair method is used, since corresponding prostheses need to be designed for the two missing parts at the same time, it is only necessary to consider the overall harmony between the prosthesis and the current patient. Formulating different repair methods for different defect conditions can also correspondingly improve the efficiency and effectiveness of medical repair.

[0033] In step S102, the following contents are included: A feature repair model having a feature repair relationship with the difference feature is constructed based on the medical repair method.

[0034] For example, in this embodiment, after the medical repair method for the current patient is determined based on the obtained differential features, a feature repair model can be constructed based on the corresponding medical repair method, wherein the feature repair model has a corresponding feature repair relationship with the differential features, that is, based on the established feature repair model, the corresponding prosthesis can be designed in the subsequent process to complete the feature repair corresponding to the current patient. Here, the feature repair model can be understood as a three-dimensional model of the corresponding differential features.

[0035] On the one hand, when it is determined that the corresponding medical repair method is a single repair method, the above-mentioned "constructing a feature repair model having a feature repair relationship with the difference feature based on the medical repair method" may further include the following steps: Determine a category sub-feature of the medical posture feature that has the same feature category as the difference feature as a mapping sub-feature, and obtain a mapping sub-model corresponding to the mapping sub-feature in the medical posture model; Based on the characteristic symmetry direction corresponding to the difference feature, a repair sub-model having a symmetrical relationship with the mapping sub-model is generated, and when the repair sub-model has a model overlap with the medical posture model, the repair sub-model is updated to obtain a characteristic repair model having a characteristic repair relationship with the difference feature.

[0036] For example, in this embodiment, a feature repair model is obtained for a single repair method based on the following implementation: First, within the framework of a single repair method, since it is necessary to construct a model that can accurately repair the difference feature and provide a reliable basis for the subsequent design and manufacture of prosthetic limbs, and considering the symmetry and coordination of the limbs, the category subfeature of the medical posture feature that has the same feature category as the difference feature can be directly determined as the mapping subfeature. It can be explained that since the medical posture feature refers to the physical condition of the current patient, the category subfeature with the same feature category as the difference feature can be understood as the corresponding intact limb part. For example, when the difference feature is the leg category, the category subfeature is the corresponding intact leg limb; and after the corresponding category subfeature is determined as the mapping subfeature, the corresponding prosthetic limb can be designed based on the mapping subfeature in the subsequent process, thereby improving the construction efficiency; Next, a mapping sub-model corresponding to the mapping sub-feature can be obtained from the medical body model, thereby concretizing the previously determined mapping sub-feature and converting it into an operational model form. The obtained mapping sub-model provides a direct reference basis for the subsequent generation of the repair sub-model, making the construction of the repair sub-model more relevant and logical. It can be shown that based on this mapping sub-model, the actual characteristics and structure of the patient's body parts can be more accurately grasped during the design of the prosthesis, providing more accurate data support for the formulation of the repair plan, and helping to improve the fit between the prosthesis and the patient's body. Next, based on the characteristic symmetry direction of the corresponding difference feature, a repair sub-model with a symmetrical relationship with the mapping sub-model can be generated. That is, the repair sub-model is generated using the characteristic symmetry direction. This is based on the symmetry principle of human body structure and function. This method can make full use of the patient's own body feature information to design a repair plan that is more in line with the natural form and mechanical principles of the human body. In prosthetic limb design, the generated repair sub-model can simulate the form and function of normal limbs, making the prosthesis closer to the real limb in appearance and use, improving the patient's usage experience and psychological acceptance. In addition, since the designed prosthesis is based on the intact limb part, it also has a certain degree of coordination and aesthetics. Finally, based on the above content, it can be seen that the missing parts of some current patients may be part of the hand or leg. Therefore, there may be a situation where the obtained repair sub-model and the corresponding medical posture model of the current patient have corresponding model overlaps. When overlap occurs, the repair sub-model needs to be updated to obtain a feature repair model with a feature repair relationship with the difference feature. It can be explained that the judgment of the model overlap ensures the matching of the repair sub-model with the patient's actual medical posture. When the overlap condition is met, it is updated to further optimize the repair sub-model to make it more in line with the patient's actual situation. The feature repair model obtained in this way can accurately repair the difference features, provide highly accurate guidance for the design and manufacture of prostheses, and improve the quality and repair effect of prostheses.

[0037] On the other hand, when it is determined that the corresponding medical repair method is a combined repair method, the above-mentioned "constructing a feature repair model having a feature repair relationship with the difference feature based on the medical repair method" may further include the following steps: Determining, in the medical body posture model, a feature submodel having a feature connection relationship with the difference feature as a connection submodel, and determining, based on the connection submodel, whether there is a model part adjacent to the connection submodel and not belonging to any category of subfeatures; If it does not exist, determining a connection size based on the connection sub-model, and updating a feature sub-model corresponding to the difference feature in the standard body model based on the connection size to obtain a feature restoration model having a feature restoration relationship with the difference feature; If it exists, the connection size is determined based on the model part, and the feature sub-model corresponding to the difference feature in the standard body model is updated based on the connection size to obtain a feature repair model having a feature repair relationship with the difference feature.

[0038] For example, in this embodiment, the feature repair model is obtained by combining the repair methods based on the following implementation: First, the combination repair method is selected to comprehensively and accurately repair multiple medical postures with different characteristics of the same feature category at the same time, providing effective model support for the construction of adaptive prostheses. Therefore, in the medical posture model, through in-depth analysis and screening, feature sub-models with feature connection relationships with the differential features can be obtained and identified as connected sub-models. Based on this process, the key model parts closely related to the differential features can be locked, making the subsequent construction work more targeted and accurately focusing on the core areas that need to be repaired. This helps to improve the efficiency and accuracy of model construction, and thus provide basic data that better meets actual needs for prosthetic design. Next, based on the determined connected sub-model, carefully check whether there are any adjacent model parts that do not belong to any category of sub-features. It can be explained that when a corresponding model part exists, it may affect the determination of the connection size and subsequent model updates. Therefore, it is necessary to fully consider these factors to ensure that the constructed feature repair model is more complete and accurate. If the above-mentioned adjacent model parts do not exist, the connection size can be determined based on the connection sub-model. Here, the accurate determination of the connection size is the key factor to ensure the connection accuracy of the various parts of the prosthesis. Based on the connection size, the feature sub-model with the corresponding difference feature in the standard body model can be updated, so that the standard body model can be closely combined with the difference features of the patient's actual medical body shape, and the standard body model can be optimized to make it more in line with the patient's personalized needs. The final feature repair model can provide an accurate reference for prosthetic design, help to create a prosthesis with a reasonable structure and suitable functions, improve the fit between the prosthesis and the patient's body, and improve the patient's comfort and convenience when using the prosthesis. If the above-mentioned adjacent model parts exist, the connection size needs to be determined based on the model part. This approach fully considers the complexity and particularity of the model. By combining the connection size determined by the special model part, it can more comprehensively reflect the actual situation. Also based on the connection size, the feature sub-model with the corresponding difference feature in the standard body model is updated, and then a feature repair model with a feature repair relationship with the difference feature is obtained. This method can effectively handle complex medical body shape differences, ensure that the constructed feature repair model can accurately adapt to the patient's special needs, and provide strong guarantees for the customization of high-quality, personalized prostheses, helping patients better restore limb function and improve their quality of life.

[0039] In step S103, the following contents are included: In response to the current patient's interaction with any feature adjustment node located in the feature repair model, the feature adjustment node is dynamically adjusted.

[0040] For example, in this embodiment, based on the above content, it can be known that after the determination of the feature repair model corresponding to the difference feature is completed, the design of the corresponding prosthesis can be completed based on the feature repair model. In order to further improve the customization needs of the current patient, the current patient can adjust the morphology based on the obtained feature repair model. Here, the specific adjustment method can be for the current patient to select any feature adjustment node located in the feature repair model and perform corresponding interaction, so as to complete the posture update of the feature repair model based on the dynamic adjustment of the feature adjustment node.

[0041] Furthermore, in this embodiment, the above-mentioned “dynamically adjusting any feature adjustment node located in the feature repair model in response to the current patient's interaction with the feature adjustment node” may further include the following steps: Dividing the feature repair model into nodes along the length direction of the feature repair model to obtain feature adjustment nodes having the same preset spacing, and obtaining a length centerline of the feature repair model corresponding to the length direction; In response to the current patient performing a drag interaction on any feature adjustment node, determining a drag length in a width direction corresponding to the drag interaction, and comparing the drag length with a preset adjustment interval corresponding to the difference feature; Determine that the drag length is within the preset adjustment range, and dynamically adjust the feature adjustment node to correspond to the drag length based on the drag direction of the length centerline corresponding to the drag interaction, wherein the drag direction includes an approaching direction and a moving away direction.

[0042] For example, in this embodiment, dynamic adjustment is performed based on the current patient's interaction with the feature adjustment node, which can be specifically implemented in the following manner: First, in order to achieve fine-grained adjustment of the feature repair model, the feature repair model can be divided into nodes along its length direction so that each feature adjustment node has the same preset spacing, and the length center line of the feature repair model in the corresponding length direction is obtained, thereby completing the construction of an orderly and regular adjustment framework, providing a clear adjustment position identifier for subsequent patient interaction operations. On the one hand, by setting feature adjustment nodes with equal spacing, it is convenient for patients to make targeted adjustments based on their own feelings and actual needs; on the other hand, obtaining the length center line provides a benchmark for the subsequent determination of the adjustment direction and amplitude, ensuring the scientificity and accuracy of the adjustment process, and improving the convenience and effectiveness of patients participating in the prosthetic adaptation process. Then, when it is detected that the current patient is performing a drag interaction on any feature adjustment node, the drag length of the drag interaction in the width direction is determined, and this drag length is compared with the preset adjustment interval corresponding to the difference feature. It can be explained that the preset adjustment interval is a reasonable range set based on a large amount of clinical data and professional analysis. Through comparison, it can be determined whether the patient's adjustment operation is within a safe and effective range. If it exceeds this range, it may cause problems in the adaptation of the prosthesis, affect the use effect, and even cause discomfort or harm to the patient; while operations within the range can ensure the rationality of the adjustment, help improve the adaptation quality of the prosthesis, and ensure the stability and functionality of the prosthesis during subsequent use; Finally, after determining that the drag length is within the preset adjustment range, the feature adjustment node can be dynamically adjusted to correspond to the drag length based on the dragging direction of the length centerline corresponding to the drag interaction, wherein the dragging direction includes the approaching direction and the moving away direction. Through the above-mentioned dynamic adjustment method, the patient's adjustment needs for different parts of the prosthesis are fully taken into consideration. For example, when the patient feels that a part of the prosthesis is too wide or too narrow, the feature adjustment node can be dragged toward or away from the length centerline to make corresponding adjustments according to the actual drag length; thereby realizing the current patient's customized needs, ensuring daily needs and corresponding aesthetics, so as to improve the comfort and usage experience of wearing the prosthesis, meet the patient's personalized adaptation needs to the greatest extent, and help the patient use the prosthesis more naturally and comfortably.

[0043] For example, Figure 2 Shows the structural diagram of the feature repair model, based on Figure 2 It can be seen from the content that 14 feature adjustment nodes are obtained along the extension direction of the feature repair model, among which every 7 feature adjustment nodes are located on the same side, and the third feature adjustment node at the bottom is dragged and interacted with by the current patient.

[0044] In addition, it should be noted that, based on the above content, the current patient can complete the dynamic adjustment of any feature adjustment node based on the interaction with the feature adjustment node. In the subsequent process, since the corresponding prosthesis design is to be completed based on the obtained feature repair model, it is necessary to ensure that other feature adjustment nodes located around the feature adjustment node have a relatively uniform transition based on aesthetics and convenience. Therefore, after completing the dynamic adjustment of any feature adjustment node, it is also necessary to perform corresponding linkage dynamic adjustment on other surrounding feature adjustment nodes. The corresponding method steps include: In response to any characteristic adjustment node, dynamic adjustment is performed, the characteristic adjustment node is determined as a target adjustment node, and an adjustment linkage quantity is calculated based on the product between the drag length and the retrieved preset linkage coefficient; Determine other feature adjustment nodes located on both sides of the target adjustment node along the length direction and corresponding to the number of adjustment linkages as a node linkage group, and configure adjustment weights of each feature adjustment node in the node linkage group from small to large based on the distance relationship between the feature adjustment node and the target adjustment node; The drag length is multiplied by each adjustment weight, and based on the obtained linkage length, the feature adjustment node in the node linkage group is dynamically adjusted in the same drag direction as the target adjustment node.

[0045] For example, in this embodiment, the dynamic adjustment of the corresponding linkage of other feature adjustment nodes can be specifically performed based on the following implementation methods: First, when any feature adjustment node is detected to be dynamically adjusted, the feature adjustment node undergoing dynamic adjustment is determined as the target adjustment node. It is clear that the target adjustment node is the starting point of the entire linkage adjustment process. It can be explained that the target adjustment node represents the adjustment point directly operated by the current patient, that is, subsequent linkage operations are carried out around the target adjustment node. This determination process can accurately capture the patient's adjustment intention, laying the foundation for subsequent more comprehensive and natural prosthetic adaptation and adjustment, so that the prosthetic adjustment is more in line with the actual needs of the current patient; Then, the product calculation is performed based on the drag length generated by the corresponding target adjustment node and the pre-adapted preset linkage coefficient to obtain the number of adjustment linkages. It can be explained that the preset linkage coefficient is determined comprehensively based on multiple factors such as the material properties, structural design, and human mechanics principles of the subsequently designed prosthesis. The number of adjustment linkages obtained through this product calculation can scientifically reflect the number of other characteristic adjustment nodes associated with the target adjustment node when it moves. This calculation method ensures that the range of linkage adjustment is reasonable and scientific, avoids excessive or insufficient linkage adjustment, and ensures the stability of the overall structure of the prosthesis while achieving coordinated adjustment of multiple parts, thereby improving the comfort and functionality of the prosthesis. Next, along the length direction of the feature repair model, other feature adjustment nodes located on both sides of the target adjustment node and corresponding to the number of adjustment linkages can be determined as a node linkage group. Based on the node linkage group, the specific scope of the linkage adjustment can be clarified, so that the adjustment operation is extended from a single node to multiple related nodes, and the synchronous adjustment of multiple parts of the prosthesis can be achieved. This design can better simulate the movement characteristics of the human body's natural limbs, making the prosthesis more consistent with the coordinated relationship of various parts during human movement after adjustment, avoiding the overall incoordination of the prosthesis after local adjustment, and improving the user experience of the prosthesis. Afterwards, based on the distance relationship with the target adjustment node, each feature adjustment node in the node linkage group can be configured with an adjustment weight from small to large. That is, the closer the feature adjustment node is to the target adjustment node, the larger the adjustment weight is configured; the farther the feature adjustment node is from the target adjustment node, the smaller the adjustment weight is configured. This method of setting adjustment weights based on distance fully considers the correlation between the various parts of the prosthesis and actual usage needs. The parts close to the target adjustment node are relatively more affected, while the parts farther away require smaller adjustments to ensure overall coordination. By reasonably configuring the adjustment weights, the prosthesis can be made more natural and smooth during the linkage adjustment process, further improving the adaptability and usage effect of the prosthesis. Finally, the drag length of the target adjustment node is multiplied by each adjustment weight to obtain the linkage length of each feature adjustment node, and based on these linkage lengths, the feature adjustment nodes located in the node linkage group are dynamically adjusted in the same drag direction as the target adjustment node. That is, the previously determined adjustment linkage number, node linkage group and adjustment weight can be converted into actual adjustment actions to achieve coordinated dynamic adjustment of multiple feature adjustment nodes, so that the obtained feature repair model can automatically make reasonable adjustments to multiple related nodes according to the patient's operation on a single node.

[0046] In addition, it can be explained that after the current patient completes the dynamic adjustment of the feature adjustment node of the feature repair model, a feature repair prosthesis that can be worn by the current patient can be produced based on the feature repair model in a subsequent process. After obtaining the corresponding feature repair prosthesis, the feature repair prosthesis can be synchronously updated based on the previous dynamic adjustment. The corresponding method steps may include: Sending the feature repair model to the medical production end; Controlling the medical production end to produce based on the characteristic repair model to obtain a characteristic repair prosthesis, wherein the characteristic repair prosthesis includes a reference prosthesis frame corresponding to the length centerline and a bionic layer wrapping the reference prosthesis frame, wherein a support body corresponding to each characteristic adjustment node is provided between the bionic layer and the reference prosthesis frame; In response to dynamic adjustment of any characteristic adjustment node, a preset support distance between the reference prosthetic frame and the bionic layer corresponding to the characteristic adjustment node is updated based on the drag length.

[0047] For example, in this embodiment, the update of the produced characteristic repair prosthesis can be performed based on the following implementation methods: First, the feature repair model can be sent to the medical production end, and the medical production end can be controlled to produce based on the received feature repair model. During the production process, the manufactured feature repair prosthesis includes a reference prosthesis frame corresponding to the length center line and a bionic layer that wraps the reference prosthesis frame, and there is a support body corresponding to each feature adjustment node between the bionic layer and the reference prosthesis frame. It can be explained that the reference prosthesis frame provides a stable structural support for the prosthesis, the bionic layer simulates the appearance and touch of human limbs, and enhances the naturalness and comfort of the prosthesis, and the support body corresponding to the feature adjustment node is the key structure for realizing flexible adjustment and precise adaptation of the prosthesis. This design enables the prosthesis to have basic functions while also meeting the different usage scenario requirements of patients through the adjustment of the support body, thereby improving the overall performance and usage experience of the prosthesis. Here, the medical production end can be understood as the terminal for producing feature repair prostheses, such as a fully automated production workshop. Finally, before the production of the prosthesis is completed, if it is detected that any characteristic adjustment node has dynamic adjustment, the preset support distance between the baseline prosthesis frame and the bionic layer corresponding to the characteristic adjustment node is updated based on the drag length, so as to further optimize the internal structure of the prosthesis based on dynamic adjustment. That is, by updating the preset support distance according to the drag length, the relative position between the bionic layer and the baseline prosthesis frame can be finely adjusted, so that the prosthesis can maintain good fit and stability under different adjustment states. For example, when it is determined that the current patient has changed the position of a certain characteristic adjustment node during the adjustment process, the support distance needs to be updated accordingly to meet the current patient's customized needs, avoid causing discomfort to the patient or affecting the use effect of the prosthesis, and the prosthesis finally produced can better adapt to the dynamic changes of the patient's body, provide patients with a more comfortable and natural use experience, and help patients better integrate into daily life and work.

[0048] It can be explained that in order to facilitate the adjustment of the preset support distance, the corresponding support body can be an airbag or a cylinder, that is, the expansion degree of the airbag or the telescopic degree of the cylinder can be adjusted, and the preset support distance can be adjusted accordingly to meet the patient's customized needs.

[0049] In summary, this embodiment can establish intervals by comparing the patient's historical height and weight, screen sample data to determine standard posture characteristics, and then identify differential characteristics, making the medical repair method for the patient more targeted. Whether it is a single repair or a combined repair, it can be formulated based on actual differences, improving the fit of the prosthesis, avoiding discomfort and functional limitations caused by improper repair methods, and providing patients with a comfortable and effective prosthetic experience. Efficiently construct a feature repair model. According to different repair methods, the sub-features in the medical posture model and the standard posture model are cleverly used to construct a repair model. Among them, corresponding to a single repair method, a symmetrical repair sub-model can be generated based on the mapped sub-features; corresponding to a combined repair method, it is necessary to fully consider the feature connection relationship. The constructed model is highly consistent with the patient's actual needs, providing a precise blueprint for prosthetic production, ensuring the effective realization of prosthetic functions, and helping patients better restore limb function. In addition, patients can dynamically adjust feature adjustment nodes through simple drag-and-drop interactions. This is not only convenient to operate, but also scientific and reasonable to meet the patient's customized needs.

[0050] Another embodiment of the present invention provides a medical data intelligent analysis system, Figure 3 The corresponding system block diagram is as follows: Figure 3 As shown, the system includes: a difference acquisition module configured to determine a medical restoration method corresponding to the medical posture characteristics based on the difference characteristics between the medical posture characteristics of the current patient and the standard posture characteristics, wherein the medical restoration method includes a single restoration method and a combined restoration method; A model building module is configured to build a feature repair model having a feature repair relationship with the difference feature based on the medical repair method; The dynamic adjustment module is configured to respond to the current patient's interaction with any feature adjustment node located in the feature repair model and dynamically adjust the feature adjustment node.

[0051] In the description provided herein, the algorithms and displays are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems may also be used in conjunction with the examples of the present invention. Based on the above description, it is apparent that the structure required for constructing such systems is well understood. In addition, the present invention is not directed to any specific programming language. It should be understood that various programming languages may be utilized to implement the present invention described herein, and the description of specific languages above is provided for the purpose of disclosing preferred embodiments of the present invention.

[0052] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0053] Similarly, it should be understood that in order to streamline the disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together into a single embodiment, figure, or description thereof.

[0054] Those skilled in the art will appreciate that the modules, units, or components of the devices in the examples disclosed herein may be arranged in the device described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the foregoing examples may be combined into one module or further divided into multiple submodules.

[0055] Those skilled in the art will appreciate that the modules in the devices of the embodiments can be adaptively changed and installed in one or more devices different from the embodiments. The modules, units, or components in the embodiments can be combined into one module, unit, or component, and furthermore, they can be divided into multiple submodules, subunits, or subcomponents.

[0056] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features and not other features included in other embodiments, the combination of features from different embodiments is intended to be within the scope of the invention and to form different embodiments.

[0057] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions described. Thus, a processor having the necessary instructions for implementing the method or method element forms a device for implementing the method or method element. Furthermore, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0058] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved and are not intended to imply that the objects so described must have a given order in time, space, ranking, or in any other manner.

[0059] Although the present invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of the foregoing description, will appreciate that other embodiments are contemplated within the scope of the invention thus described. Furthermore, it should be noted that the language used in this specification has been selected primarily for readability and instructional purposes and is not selected to explain or limit the subject matter of the present invention.

Claims

1. A medical data intelligent analysis method, characterized in that: The following steps are involved: Determining a medical restoration method corresponding to the medical posture characteristics based on the difference between the medical posture characteristics of the current patient and the standard posture characteristics, wherein the medical restoration method includes a single restoration method and a combined restoration method; Constructing a feature repair model having a feature repair relationship with the difference feature based on the medical repair method; In response to the current patient's interaction with any feature adjustment node located in the feature repair model, the feature adjustment node is dynamically adjusted.

2. The method according to claim 1, characterized in that Based on the difference between the medical posture characteristics of the current patient and the standard posture characteristics, a medical restoration method corresponding to the medical posture characteristics is determined, including: Establish height comparison intervals and weight comparison intervals based on the historical body height and historical body weight of the current patient; Retrieving a sample data set, including sub-data of each sample corresponding to different sample body heights and sample body weights; In response to the sample body height and the sample body weight corresponding to the same sample sub-data being respectively located in the height comparison interval and the weight comparison interval, the sample body features corresponding to the sample sub-data are aggregated into the standard database; Determine the sample body shape feature in the standard database that has the greatest similarity to the medical body shape feature as the standard body shape feature; Dividing the standard body features into features corresponding to different feature categories, and in response to the medical body features not including any of the obtained sub-features of the category, determining the sub-feature of the category as a difference feature, wherein the feature categories include a leg category and a hand category; A medical repair method corresponding to the medical posture characteristics is determined based on the difference characteristics.

3. The method according to claim 2, characterized in that In response to the medical posture feature not including any of the obtained category sub-features, determining the category sub-feature as a difference feature includes: Establishing a medical posture model and a standard posture model based on the medical posture characteristics and the standard posture characteristics, respectively, and dividing the standard posture model based on each category sub-feature to obtain each feature sub-model; The medical posture model is compared with the standard posture model for overlap, and in response to a model overlap between the medical posture model and any feature sub-model being less than a preset overlap threshold, it is determined that the medical posture feature does not include a category sub-feature corresponding to the feature sub-model.

4. The method according to claim 2, characterized in that Determining a medical repair method corresponding to the medical posture characteristics based on the difference characteristics includes: In response to the difference features including two having the same feature category, determining the medical repair methods corresponding to the medical posture features as a combined repair method; In response to the difference features including at least one having different feature categories, a medical repair method corresponding to the medical posture feature is determined as a single repair method.

5. The method according to claim 3, characterized in that The medical repair method is a single repair method; Constructing a feature repair model having a feature repair relationship with the difference feature based on the medical repair method, including: Determine a category sub-feature of the medical posture feature that has the same feature category as the difference feature as a mapping sub-feature, and obtain a mapping sub-model corresponding to the mapping sub-feature in the medical posture model; Based on the characteristic symmetry direction corresponding to the difference feature, a repair sub-model having a symmetrical relationship with the mapping sub-model is generated, and when the repair sub-model has a model overlap with the medical posture model, the repair sub-model is updated to obtain a characteristic repair model having a characteristic repair relationship with the difference feature.

6. The method according to claim 3, characterized in that The medical repair method is a combined repair method; Constructing a feature repair model having a feature repair relationship with the difference feature based on the medical repair method, including: Determining, in the medical body posture model, a feature submodel having a feature connection relationship with the difference feature as a connection submodel, and determining, based on the connection submodel, whether there is a model part adjacent to the connection submodel and not belonging to any category of subfeatures; If it does not exist, determining a connection size based on the connection sub-model, and updating a feature sub-model corresponding to the difference feature in the standard body model based on the connection size to obtain a feature restoration model having a feature restoration relationship with the difference feature; If it exists, the connection size is determined based on the model part, and the feature sub-model corresponding to the difference feature in the standard body model is updated based on the connection size to obtain a feature repair model having a feature repair relationship with the difference feature.

7. The method according to claim 1, characterized in that In response to the current patient's interaction with any feature adjustment node located in the feature repair model, dynamically adjusting the feature adjustment node includes: Dividing the feature repair model into nodes along the length direction of the feature repair model to obtain feature adjustment nodes having the same preset spacing, and obtaining a length centerline of the feature repair model corresponding to the length direction; In response to the current patient performing a drag interaction on any feature adjustment node, determining a drag length in a width direction corresponding to the drag interaction, and comparing the drag length with a preset adjustment interval corresponding to the difference feature; Determine that the drag length is within the preset adjustment range, and dynamically adjust the feature adjustment node to correspond to the drag length based on the drag direction of the length centerline corresponding to the drag interaction, wherein the drag direction includes an approaching direction and a moving away direction.

8. The method according to claim 7, characterized in that The method further comprises: In response to any characteristic adjustment node, dynamic adjustment is performed, the characteristic adjustment node is determined as a target adjustment node, and an adjustment linkage quantity is calculated based on the product between the drag length and the retrieved preset linkage coefficient; Determine other feature adjustment nodes located on both sides of the target adjustment node along the length direction and corresponding to the number of adjustment linkages as a node linkage group, and configure adjustment weights of each feature adjustment node in the node linkage group from small to large based on the distance relationship between the feature adjustment node and the target adjustment node; The drag length is multiplied by each adjustment weight, and based on the obtained linkage length, the feature adjustment node in the node linkage group is dynamically adjusted in the same drag direction as the target adjustment node.

9. The method according to claim 7, characterized in that The method further comprises: Sending the feature repair model to the medical production end; Controlling the medical production end to produce based on the characteristic repair model to obtain a characteristic repair prosthesis, wherein the characteristic repair prosthesis includes a reference prosthesis frame corresponding to the length centerline and a bionic layer wrapping the reference prosthesis frame, wherein a support body corresponding to each characteristic adjustment node is provided between the bionic layer and the reference prosthesis frame; In response to dynamic adjustment of any characteristic adjustment node, a preset support distance between the reference prosthetic frame and the bionic layer corresponding to the characteristic adjustment node is updated based on the drag length.

10. A medical data intelligent analysis system, characterized in that: include: a difference acquisition module configured to determine a medical restoration method corresponding to the medical posture characteristics based on the difference characteristics between the medical posture characteristics of the current patient and the standard posture characteristics, wherein the medical restoration method includes a single restoration method and a combined restoration method; A model building module is configured to build a feature repair model having a feature repair relationship with the difference feature based on the medical repair method; The dynamic adjustment module is configured to respond to the current patient's interaction with any feature adjustment node located in the feature repair model and dynamically adjust the feature adjustment node.

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