A tendon-bone transition region electrical stimulation parameter adjustment method and system based on a gradient conductive bracket

Abstract

This invention provides a method and system for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold, relating to the field of postoperative electrical stimulation repair technology. The method includes the following steps: acquiring the conductivity and structural parameters of the gradient conductive scaffold, and simultaneously acquiring medical imaging data and surgical data of the patient's rotator cuff injury; constructing an optimal electrical stimulation parameter prediction model, and inputting the conductivity parameters, structural parameters, medical imaging data, and surgical data into the optimal electrical stimulation parameter prediction model for processing to obtain the corresponding optimal electrical stimulation parameters; and combining the optimal electrical stimulation parameters with the gradient conductive scaffold to perform electrical stimulation. This invention, based on the patient's medical imaging data and surgical data, combined with the conductivity and structural parameters of the gradient conductive scaffold itself, outputs optimal electrical stimulation parameters through a prediction model, ensuring that the electrical stimulation intensity and distribution are highly matched to the patient's tendon-bone injury area and the conductive gradient of the scaffold.

Description

Technical Field

[0001] This invention relates to the field of postoperative electrical stimulation repair technology, and more specifically to a method and system for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold. Background Technology

[0002] Currently, the rotator cuff is composed of the supraspinatus, infraspinatus, teres minor, and subscapularis tendons. Injuries are often caused by indirect force, such as falling and landing on one's hand, leading to tendon rupture. Rotator cuff surgery is a surgical procedure used to treat rotator cuff injuries. Poor tendon-bone interface healing is one of the common reasons for rotator cuff repair surgery failure or poor functional recovery. After surgery, standardized rehabilitation or related electrical stimulation treatment is necessary.

[0003] However, due to the complexity of the human body structure, the adjustment of relevant parameters during the electrical stimulation process is not precise enough, making it impossible to perform assisted rehabilitation under optimal parameter conditions. This results in drawbacks such as low stimulation precision and low comfort.

[0004] Therefore, how to provide a method for adjusting electrical stimulation parameters that can solve the above problems is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] In view of this, the present invention provides a method and system for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold. Based on the patient's medical imaging data and surgical data, combined with the conductive parameters and structural parameters of the gradient conductive scaffold itself, the optimal electrical stimulation parameters are output through a prediction model, so that the intensity and distribution of electrical stimulation are highly matched with the patient's tendon-bone injury area and the conductive gradient of the scaffold.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: A method for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold includes the following steps: The conductive and structural parameters of the gradient conductive scaffold were obtained, along with medical imaging and surgical data of the patient's rotator cuff injury. A prediction model for optimal electrical stimulation parameters was constructed, and the conductivity parameters, structural parameters, medical imaging data, and surgical data were input into the prediction model for processing to obtain the corresponding optimal electrical stimulation parameters. The optimal electrical stimulation parameters are combined with a gradient conductive stent to complete the electrical stimulation.

[0007] Preferably, the specific process of combining the optimal electrical stimulation parameters with a gradient conductive stent to complete electrical stimulation includes: The conductivity and structural parameters of the gradient conductive scaffold are analyzed to determine whether the optimal electrical stimulation parameters can be achieved; otherwise, a wireless auxiliary device is added.

[0008] Preferred options also include: The electrical stimulation process of the gradient conductive stent was simulated and verified under the optimal electrical stimulation parameters.

[0009] Preferably, the specific process for simulating and verifying the electrical stimulation process of the gradient conductive stent includes: A three-dimensional simulation model of the affected area is established based on the medical imaging data and surgical data, and a three-dimensional model of the gradient conductive stent is established based on the conductive parameters and structural parameters. The three-dimensional model is applied to the three-dimensional simulation model of the affected area to form an electrical stimulation simulation model; The simulation was conducted using the optimal electrical stimulation parameters to obtain the corresponding simulation results.

[0010] Preferably, the specific processing steps to obtain the corresponding simulation results also include: The simulation results are analyzed to determine whether the optimal electrical stimulation parameters match the medical imaging data and surgical data. If a match is found, the optimal electrical stimulation parameters will be used as the final electrical stimulation parameters for actual use.

[0011] Preferred options also include: Physiological parameters of the patient are collected in real time during electrical stimulation, and the physiological parameters are analyzed. The optimal electrical stimulation parameters are adjusted based on the physiological parameter analysis results.

[0012] The present invention also provides a system for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold, comprising: The acquisition module is used to acquire the conductive and structural parameters of the gradient conductive stent, as well as the medical imaging data and surgical data of the patient's rotator cuff injury. The processing module is used to construct a prediction model for optimal electrical stimulation parameters, and input conductive parameters, structural parameters, medical imaging data and surgical data into the prediction model for processing to obtain the corresponding optimal electrical stimulation parameters. The electrical stimulation module is used to combine the optimal electrical stimulation parameters with a gradient conductive stent to complete the electrical stimulation. The simulation module is used to simulate and verify the electrical stimulation process of the gradient conductive stent under the optimal electrical stimulation parameters.

[0013] As can be seen from the above technical solution, compared with the prior art, the present invention discloses a method and system for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold, which has the following beneficial effects: 1. This invention is based on the patient's personalized medical imaging data and surgical data, combined with the conductive parameters and structural parameters of the gradient conductive stent itself. The optimal electrical stimulation parameters are output through a predictive model, so that the intensity and distribution of electrical stimulation are matched with the patient's tendon and bone injury area and the conductive gradient of the stent, thereby improving the stent's working efficiency and adjustment accuracy. 2. Before applying electrical stimulation, this invention determines whether the stent can bear the optimal electrical stimulation parameters. When the stent itself cannot meet the requirements, it compensates through a wireless auxiliary device to avoid problems such as material failure caused by the optimal parameters exceeding the stent's design range. 3. This invention verifies the rationality of electrical stimulation in advance through three-dimensional simulation. It conducts simulation verification of electrical stimulation before actual use, thereby improving the reliability of the solution and further enhancing the quality and safety of the repair. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0015] Figure 1 A flowchart of an overall method for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold, provided by the present invention; Figure 2 The present invention provides a structural principle block diagram of an electrical stimulation parameter adjustment system for the tendon-bone transition region based on a gradient conductive scaffold. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] See Figure 1 As shown, this embodiment of the invention discloses a method for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold, comprising the following steps: The system acquires the conductivity and structural parameters of a gradient conductive stent, along with medical imaging and surgical data of the patient's rotator cuff injury. The conductivity parameters of the gradient conductive stent can include data such as electric field distribution, electrode phase, stimulation frequency, voltage, and current. The structural parameters can include data such as the overall size and shape of the stent. The medical imaging data can include CT images, MRI images, and surgical data can include the surgical incision location, stent implantation depth, fixation method, and intraoperative treatment of damaged tissue. Specifically, key information such as the location, extent, and degree of damage (e.g., partial tear, complete tear) of the damaged area, as well as the size of the tendon-bone interface gap, can be extracted through image processing technology to provide comprehensive and personalized basic data support for subsequent parameter prediction. A model for predicting optimal electrical stimulation parameters is constructed, and conductive parameters, structural parameters, medical imaging data, and surgical data are input into the model for processing to obtain the corresponding optimal electrical stimulation parameters. The model for predicting optimal electrical stimulation parameters can be a comprehensive model combining convolutional neural networks and recurrent neural networks. The optimal electrical stimulation parameters are combined with a gradient conductive stent to complete the electrical stimulation.

[0018] In one specific embodiment, the specific process of combining the optimal electrical stimulation parameters with a gradient conductive stent to complete electrical stimulation includes: The conductivity and structural parameters of the gradient conductive stent are analyzed to determine whether the optimal electrical stimulation parameters can be achieved. If not, a wireless auxiliary device is added to predict the rationality and feasibility of the electrical stimulation parameters in advance, avoid the risks that may be brought about by direct electrical stimulation in the patient's body, and provide a theoretical basis for subsequent fine-tuning of electrical stimulation parameters.

[0019] In one specific embodiment, it also includes: The electrical stimulation process of the gradient conductive stent was simulated and verified under the optimal electrical stimulation parameters.

[0020] In a specific embodiment, the specific process for simulating and verifying the electrical stimulation process of the gradient conductive stent includes: A three-dimensional simulation model of the affected area is established based on the medical imaging data and surgical data, and a three-dimensional model of the gradient conductive stent is established based on the conductive parameters and structural parameters. The three-dimensional model is applied to the three-dimensional simulation model of the affected area to form an electrical stimulation simulation model; The simulation was conducted using the optimal electrical stimulation parameters to obtain the corresponding simulation results. Wireless auxiliary devices were added as needed during the simulation process.

[0021] In a specific embodiment, the specific processing steps for obtaining the corresponding simulation results further include: The simulation results are analyzed to determine whether the optimal electrical stimulation parameters match the medical imaging data and surgical data. If a match is found, the optimal electrical stimulation parameters will be used as the final electrical stimulation parameters for actual use.

[0022] Specifically, the processing steps to obtain the corresponding simulation results also include: The simulation results are comprehensively analyzed to determine whether the optimal electrical stimulation parameters accurately match the injury site in the tendon-bone transition area, and whether the optimal electrical stimulation parameters will cause tissue damage. At the same time, it is determined whether the optimal electrical stimulation parameters match the medical imaging data (such as the injury range and tendon-bone gap) and surgical data (such as the stent implantation depth) with the simulation results, that is, whether the electrical stimulation can effectively cover the injury area and whether there is excessive or insufficient stimulation. If the analysis results show that the three parameters match and no problems such as stent failure or tissue damage occur during the simulation, the optimal electrical stimulation parameters will be used as the final actual electrical stimulation parameters for subsequent clinical electrical stimulation operations. If the analysis results show that the three parameters do not match, the optimal electrical stimulation parameters will be fine-tuned according to the simulation results, and the simulation will be repeated until the three parameters match and meet the target requirements.

[0023] In one specific embodiment, it also includes: Physiological parameters of the patient are collected in real time during electrical stimulation, and the physiological parameters are analyzed. The optimal electrical stimulation parameters are adjusted based on the physiological parameter analysis results.

[0024] See Figure 2 As shown, this embodiment of the invention also provides a system for adjusting electrical stimulation parameters in the tendon-bone transition region using the gradient conductive scaffold-based method described in any of the above embodiments, comprising: The acquisition module is used to acquire the conductive and structural parameters of the gradient conductive stent, as well as the medical imaging data and surgical data of the patient's rotator cuff injury. The processing module is used to construct a prediction model for optimal electrical stimulation parameters, and input conductive parameters, structural parameters, medical imaging data and surgical data into the prediction model for processing to obtain the corresponding optimal electrical stimulation parameters. The electrical stimulation module is used to combine the optimal electrical stimulation parameters with a gradient conductive stent to complete the electrical stimulation. The simulation module is used to simulate and verify the electrical stimulation process of the gradient conductive stent under the optimal electrical stimulation parameters.

[0025] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0026] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold, characterized in that, Includes the following steps: The conductive and structural parameters of the gradient conductive scaffold were obtained, along with medical imaging and surgical data of the patient's rotator cuff injury. A prediction model for optimal electrical stimulation parameters was constructed, and the conductivity parameters, structural parameters, medical imaging data, and surgical data were input into the prediction model for processing to obtain the corresponding optimal electrical stimulation parameters. The optimal electrical stimulation parameters are combined with a gradient conductive stent to complete the electrical stimulation.

2. The method for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold according to claim 1, characterized in that, The specific process of combining the optimal electrical stimulation parameters with a gradient conductive scaffold to complete electrical stimulation includes: The conductivity and structural parameters of the gradient conductive scaffold are analyzed to determine whether the optimal electrical stimulation parameters can be achieved; otherwise, a wireless auxiliary device is added.

3. The method for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold according to claim 2, characterized in that, Also includes: The electrical stimulation process of the gradient conductive stent was simulated and verified under the optimal electrical stimulation parameters.

4. The method for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold according to claim 2, characterized in that, The specific process for simulating and verifying the electrical stimulation process of the gradient conductive stent includes: A three-dimensional simulation model of the affected area is established based on the medical imaging data and surgical data, and a three-dimensional model of the gradient conductive stent is established based on the conductive parameters and structural parameters. The three-dimensional model is applied to the three-dimensional simulation model of the affected area to form an electrical stimulation simulation model; The simulation was conducted using the optimal electrical stimulation parameters to obtain the corresponding simulation results.

5. The method for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold according to claim 2, characterized in that, The specific processing steps to obtain the corresponding simulation results also include: The simulation results are analyzed to determine whether the optimal electrical stimulation parameters match the medical imaging data and surgical data. If a match is found, the optimal electrical stimulation parameters will be used as the final electrical stimulation parameters for actual use.

6. The method for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold according to claim 2, characterized in that, Also includes: Physiological parameters of the patient are collected in real time during electrical stimulation, and the physiological parameters are analyzed. The optimal electrical stimulation parameters are adjusted based on the physiological parameter analysis results.

7. A system for adjusting electrical stimulation parameters in the tendon-bone transition region based on a gradient conductive scaffold according to any one of claims 1-6, characterized in that, include: The acquisition module is used to acquire the conductive and structural parameters of the gradient conductive stent, as well as the medical imaging data and surgical data of the patient's rotator cuff injury. The processing module is used to construct a prediction model for optimal electrical stimulation parameters, and input conductive parameters, structural parameters, medical imaging data and surgical data into the prediction model for processing to obtain the corresponding optimal electrical stimulation parameters. The electrical stimulation module is used to combine the optimal electrical stimulation parameters with a gradient conductive stent to complete the electrical stimulation. The simulation module is used to simulate and verify the electrical stimulation process of the gradient conductive stent under the optimal electrical stimulation parameters.

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