Diabetic foot osteotomy postoperative vascular nerve function evaluation system and method

Abstract

The invention provides a vascular nerve function evaluation system and method after diabetic foot osteotomy. The diabetic foot osteotomy postoperative vascular nerve function evaluation system comprises a data acquisition module, a data processing and analysis module, a user interaction module, a data storage module and a communication module, and the data acquisition module, the data processing and analysis module and the user interaction module are sequentially connected. The user interaction module is connected with the processing and analyzing module, and the communication module is connected with the data storage module. According to the diabetic foot osteotomy postoperative vascular nerve function evaluation system and method, accurate evaluation of postoperative vascular reconstruction, nerve recovery and wound healing is achieved through multi-modal data collection, dynamic modeling and intelligent analysis, objective curative effect comparison and prognosis prediction can be provided for clinic, and the system and method have the advantages of being high in practicability and wide in application prospect. And the scientificity and efficiency of diabetic foot postoperative management are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and particularly to a vascular and nerve function evaluation system and method after osteotomy for diabetic foot. Background Art

[0002] Diabetic foot is one of the severe complications of diabetes, often leading to the risk of amputation due to lower limb ischemia and neuropathy. The transverse tibial bone transport surgery improves blood supply by reconstructing collateral circulation, but there is a lack of a standardized evaluation tool for the recovery of vascular and nerve functions after the surgery. The existing technologies have the following problems: scattered data: traditional evaluations rely on manual records, and vascular functions (such as ankle-brachial index), nerve functions (such as Michigan score), and wound data are separated, making it difficult to comprehensively analyze; insufficient dynamic monitoring: long-term follow-up is required for postoperative recovery, but existing tools cannot monitor trends in real time or predict complications; lack of intelligent analysis: the comparison of treatment effects relies on manual statistics, with low efficiency and prone to introducing subjective errors.

[0003] Therefore, it is necessary to provide a vascular and nerve function evaluation system and method after osteotomy for diabetic foot to solve the above technical problems. Summary of the Invention

[0004] The technical problem solved by the present invention is to provide a vascular and nerve function evaluation system and method after osteotomy for diabetic foot that can achieve precise evaluation of postoperative vascular reconstruction, nerve recovery, and wound healing through multimodal data acquisition, dynamic modeling, and intelligent analysis, and can provide objective comparison of treatment effects and prognosis prediction for clinical practice, effectively improving the scientificity and efficiency of postoperative management of diabetic foot.

[0005] To solve the above technical problems, the vascular and nerve function evaluation system after osteotomy for diabetic foot provided by the present invention includes: a data acquisition module, a data processing and analysis module, a user interaction module, a data storage module, and a communication module. The data acquisition module, the data processing and analysis module, and the user interaction module are connected in sequence. The user interaction module is connected to the processing and analysis module, and the communication module is connected to the data storage module;

[0006] The data acquisition module is used to collect vascular function data, nerve function data, and wound healing data of patients in real time;

[0007] The data processing and analysis module is used to perform standardized processing, storage, and comparative analysis on the collected data, and generate a vascular and nerve function recovery trend chart and a statistical report;

[0008] The user interaction module includes an input unit and a display unit;

[0009] The input unit is used to receive clinical parameters and evaluation instructions input by medical staff;

[0010] The display unit is used for visually presenting the analysis results, historical data comparison, and warning prompts;

[0011] The data storage module is used to store the patient's baseline data, postoperative dynamic monitoring data, and evaluation reports.

[0012] Preferably, the vascular function data includes the ankle-brachial index and peripheral blood flow velocity; the nerve function data includes the Michigan neurological signs score and electrophysiological signals; the wound healing data includes the wound area, healing time, and healing grade.

[0013] Preferably, the data acquisition module includes a vascular function detection unit, a nerve function detection unit, and a wound image acquisition unit; the vascular function detection unit is used to measure the ankle-brachial index and peripheral hemodynamic parameters; the nerve function detection unit is used to obtain the nerve conduction velocity and sensory function score; the wound image acquisition unit is used to capture the wound in real time and calculate the healing progress.

[0014] Preferably, the data processing and analysis module incorporates the following algorithms: a vascular and nerve function recovery model based on time series for predicting the postoperative recovery period; an algorithm for comparing the efficacy of the modified tibial transverse bone transport technique with the traditional technique, which is statistically verified using paired t-tests and analysis of variance; a machine learning model for identifying high-risk patients and generating personalized intervention recommendations.

[0015] Preferably, the display unit of the user interaction module supports the following functions: dynamically presenting the change curves of vascular and nerve function scores at 3 months and 6 months after surgery; marking abnormal data thresholds and triggering audible and visual alarms; exporting a standardized report template that complies with clinical research specifications.

[0016] Preferably, the communication module supports the following protocols: the HL7 / FHIR medical data exchange protocol and the 5G / Wi-Fi wireless transmission protocol.

[0017] Preferably, it further includes a portable terminal device and a cloud platform interface.

[0018] The present invention also provides a method for evaluating the vascular and nerve functions after osteotomy for diabetic foot, including the following steps:

[0019] S1: Multi-modal data synchronous acquisition: Multi-modal data is acquired through the data acquisition module, ensuring that the data acquisition frequency is not less than once a day, and marking the time stamp and patient identity information;

[0020] S2: Data standardization and normalization processing: The raw data collected in step S1 is standardized to eliminate the dimension difference, using the formula:

[0021]

[0022] Among them, X is the original data value, X min and X max are respectively the minimum and maximum values of the same type of data, and the processed data is stored in the encrypted database;

[0023] S3: Dynamic evaluation of vascular function: Based on the ankle-brachial index (ABI) and the peripheral blood flow velocity, calculate the vascular function recovery rate. The formula is:

[0024]

[0025] If R vascular < 60%, then trigger a warning signal and mark it as a high-risk patient;

[0026] S4: Statistical analysis of nerve function: Conduct a paired t-test on the Michigan Nerve Sign Score (MNSI) and the nerve conduction velocity. The formula is:

[0027]

[0028] Among them, M1 and M2 are respectively the mean scores of the improved technology and the traditional technology, s p is the combined standard deviation, and n is the sample size;

[0029] S5: Modeling the wound healing trend

[0030] Based on the wound area and healing time data, construct an exponential decay model to predict the healing period. The formula is:

[0031] A(t) = A0·e -kt

[0032] Among them, A(t) is the wound area at time t, A0 is the initial area, k is the healing rate constant, and the parameters are fitted by the nonlinear least squares method;

[0033] S6: Visualization of multi-dimensional results: Integrate the vascular function recovery rate, nerve function statistical results, and wound healing model into a dynamic trend graph, including the comparison curves at 3 months and 6 months after surgery, and display the abnormal data threshold, warning area, and personalized intervention suggestions through the interactive interface;

[0034] S7: Data encryption and cloud sharing: Use the AES-256 algorithm to encrypt the evaluation results, synchronize the data to the cloud server through the HL7 / FHIR protocol, support multi-center research data sharing and remote consultation, and at the same time generate a clinical research report that meets the ISO standard and automatically archive it.

[0035] Preferably, the normal ABI threshold in S3 is set to 0.9. If the ABI after surgery continues to be lower than 0.5, it is determined that the vascular reconstruction fails and an emergency intervention process is initiated.

[0036] Preferably, the calculation of the healing rate constant k in S5 needs to satisfy the goodness of fit R 2 > 0.85, otherwise, re - collect the data and optimize the model parameters.

[0037] Compared with the related technologies, the vascular and nerve function evaluation system and method after diabetic foot osteotomy provided by the present invention have the following beneficial effects:

[0038] The present invention provides a vascular and nerve function evaluation system and method after diabetic foot osteotomy. Through multi - modal data acquisition, intelligent analysis and visual interaction, it realizes the dynamic monitoring and accurate evaluation of postoperative vascular and nerve functions, integrates the ankle - brachial index, Michigan nerve score and wound healing data, combines statistical algorithms and machine learning models, provides objective efficacy comparison and prognosis prediction for clinical practice, and effectively improves the scientificity and efficiency of postoperative management of diabetic foot. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a principle block diagram of the vascular and nerve function evaluation system after diabetic foot osteotomy provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] The present invention will be further described below in conjunction with the drawings and embodiments.

[0041] Please refer to Figure 1 , where Figure 1 It is a principle block diagram of the vascular and nerve function evaluation system after diabetic foot osteotomy. The vascular and nerve function evaluation system after diabetic foot osteotomy includes:

[0042] Data acquisition module: used to collect the vascular function data, nerve function data and wound healing data of patients in real - time; the vascular function data includes the ankle - brachial index (ABI) and the peripheral blood flow velocity; the nerve function data includes the Michigan nerve sign score (MNSI) and the electrophysiological signal; the wound healing data includes the wound area, the healing time and the healing grade.

[0043] The data acquisition module includes:

[0044] Vascular function detection unit: integrated with a Doppler ultrasound device and a dynamic blood pressure monitoring device, used to measure the ankle - brachial index and peripheral hemodynamic parameters;

[0045] Nerve function detection unit: includes an electrophysiological signal collector and a tactile vibration threshold tester, used to obtain the nerve conduction velocity and the sensory function score;

[0046] Wound image acquisition unit: configured with a high - resolution camera and an image - processing chip, used to take pictures of the wound in real - time and calculate the healing progress.

[0047] Data Processing and Analysis Module: Connected to the data acquisition module, it is used to perform standardized processing, storage, and comparative analysis on the collected data, and generate a vascular nerve function recovery trend chart and a statistical report.

[0048] The data processing and analysis module incorporates the following algorithms:

[0049] A vascular nerve function recovery model based on time series, used to predict the postoperative recovery period;

[0050] An algorithm for comparing the efficacy of the modified tibial transverse bone transport technique with the traditional technique, which is statistically verified using paired t-tests and analysis of variance;

[0051] A machine learning model, used to identify high-risk patients and generate personalized intervention suggestions.

[0052] User Interaction Module: Connected to the data processing and analysis module, it includes an input unit and a display unit; the input unit is used to receive clinical parameters and evaluation instructions input by medical staff; the display unit is used to visually display analysis results, historical data comparison, and warning prompts.

[0053] The display unit of the user interaction module supports the following functions:

[0054] Dynamically display the change curves of vascular nerve function scores at 3 months and 6 months after surgery;

[0055] Mark the abnormal data threshold and trigger an audible and visual alarm;

[0056] Export a standardized report template that complies with clinical research specifications.

[0057] Data Storage Module: Bidirectionally connected to the data processing and analysis module, it is used to store the patient's baseline data, postoperative dynamic monitoring data, and evaluation reports;

[0058] Communication Module: Connected to external medical devices and cloud servers, it supports data synchronization, remote consultation, and multi-center data sharing.

[0059] The communication module supports the following protocols:

[0060] HL7 / FHIR medical data exchange protocol, to achieve seamless docking with the hospital information system;

[0061] 5G / Wi-Fi wireless transmission protocol, to ensure real-time data transmission and remote monitoring functions.

[0062] Portable Terminal Device: Integrates the data acquisition module and the user interaction module, and supports rapid bedside evaluation.

[0063] Cloud Platform Interface: Connected to the communication module, it is used to store multi-center clinical data and support big data mining.

[0064] The present invention also provides a method for evaluating vascular and nerve functions after osteotomy for diabetic foot, comprising the following steps:

[0065] S1: Synchronous acquisition of multimodal data: Multimodal data is acquired through a data acquisition module, ensuring that the data acquisition frequency is not less than once a day, and timestamp and patient identity information are marked.

[0066] S2: Data standardization and normalization processing: The original data acquired in step S1 is standardized to eliminate the dimension difference, using the formula:

[0067]

[0068] where X is the original data value, X min and X max are respectively the minimum and maximum values of the same type of data, and the processed data is stored in an encrypted database.

[0069] S3: Dynamic evaluation of vascular function: Based on the ankle-brachial index (ABI) and peripheral blood flow velocity, the vascular function recovery rate is calculated, and the formula is:

[0070]

[0071] If R vascular <60%, then a warning signal is triggered and the patient is marked as a high-risk patient;

[0072] The normal ABI threshold is set to 0.9. If the postoperative ABI remains lower than 0.5, it is determined that vascular reconstruction fails and an emergency intervention process is initiated.

[0073] S4: Statistical analysis of nerve function: A paired t-test is performed on the Michigan Neuropathy Screening Instrument (MNSI) and nerve conduction velocity, and the formula is:

[0074]

[0075] where M1 and M2 are respectively the mean scores of the improved technique and the traditional technique, s p is the pooled standard deviation, and n is the sample size.

[0076] S5: Modeling of wound healing trend:

[0077] Based on the wound area and healing time data, an exponential decay model is constructed to predict the healing cycle, and the formula is:

[0078] A(t) = A0·e -kt

[0079] Among them, A(t) is the wound area at time t, A0 is the initial area, and k is the healing rate constant, with parameters fitted by the nonlinear least squares method;

[0080] The calculation of the healing rate constant k needs to satisfy the goodness of fit R 2 > 0.85, otherwise, re - collect the data and optimize the model parameters.

[0081] S6: Multi - dimensional result visualization: Integrate the blood vessel function recovery rate, nerve function statistical results, and wound healing model into a dynamic trend graph, including comparison curves at 3 months and 6 months after surgery, and display abnormal data thresholds, warning areas, and personalized intervention suggestions through an interactive interface.

[0082] S7: Data encryption and cloud sharing: Encrypt the evaluation results using the AES - 256 algorithm, synchronize the data to the cloud server through the HL7 / FHIR protocol, support multi - center research data sharing and remote consultation, and at the same time generate a clinical research report that meets ISO standards and automatically archive it.

[0083] Compared with related technologies, the vascular and nerve function evaluation system and method for diabetic foot after osteotomy provided by the present invention have the following beneficial effects:

[0084] The present invention provides a vascular and nerve function evaluation system and method for diabetic foot after osteotomy. Through multi - modal data collection, intelligent analysis, and visual interaction, it realizes the dynamic monitoring and accurate evaluation of postoperative vascular and nerve functions, integrates the ankle - brachial index, Michigan nerve score, and wound healing data, combines statistical algorithms and machine learning models, provides objective efficacy comparison and prognosis prediction for clinical practice, and effectively improves the scientificity and efficiency of postoperative management of diabetic foot.

[0085] The above are only embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A vascular and nerve function evaluation system after osteotomy for diabetic foot, characterized in that, Including: A data acquisition module, a data processing and analysis module, a user interaction module, a data storage module, and a communication module. The data acquisition module, the data processing and analysis module, and the user interaction module are connected in sequence. The user interaction module is connected to the processing and analysis module, and the communication module is connected to the data storage module; The data acquisition module is used to collect the vascular function data, nerve function data, and wound healing data of patients in real time; The data processing and analysis module is used to perform standardized processing, storage, and comparative analysis on the collected data, and generate a vascular and nerve function recovery trend chart and a statistical report; The user interaction module includes an input unit and a display unit; The input unit is used to receive the clinical parameters and evaluation instructions input by medical staff; The display unit is used to visually display the analysis results, historical data comparison, and warning prompts; The data storage module is used to store the baseline data, postoperative dynamic monitoring data, and evaluation reports of patients.

2. The vascular and nerve function evaluation system after diabetic foot osteotomy according to claim 1, wherein The vascular function data includes the ankle-brachial index and the peripheral blood flow velocity; the nerve function data includes the Michigan neurological signs score and the electrophysiological signal; the wound healing data includes the wound area, the healing time, and the healing grade.

3. The vascular and nerve function evaluation system after diabetic foot osteotomy according to claim 2, wherein, The data acquisition module includes a vascular function detection unit, a nerve function detection unit, and a wound image acquisition unit; the vascular function detection unit is used to measure the ankle-brachial index and the peripheral hemodynamic parameters; the nerve function detection unit is used to obtain the nerve conduction velocity and the sensory function score; the wound image acquisition unit is used to take real-time pictures of the wound and calculate the healing progress.

4. The vascular and nerve function evaluation system after diabetic foot osteotomy according to claim 1, wherein The data processing and analysis module incorporates the following algorithms: a vascular and nerve function recovery model based on time series, used to predict the postoperative recovery period; an efficacy comparison algorithm between the modified tibial transverse bone transport technique and the traditional technique, which is statistically verified using paired t-tests and analysis of variance; A machine learning model, used to identify high-risk patients and generate personalized intervention suggestions.

5. The vascular and nerve function evaluation system after diabetic foot osteotomy according to claim 1, wherein The display unit of the user interaction module supports the following functions: dynamically displaying the change curves of the vascular and nerve function scores at 3 months and 6 months after surgery; marking the abnormal data threshold and triggering an audible and visual alarm; exporting a standardized report template that complies with clinical research specifications.

6. The vascular and nerve function evaluation system after diabetic foot osteotomy according to claim 1, wherein The communication module supports the following protocols: the HL7 / FHIR medical data exchange protocol and the 5G / Wi-Fi wireless transmission protocol.

7. The vascular and nerve function evaluation system after diabetic foot osteotomy according to claim 1, wherein It also includes a portable terminal device and a cloud platform interface.

8. A method for evaluating vascular and nerve functions after osteotomy of diabetic foot, which is evaluated by using the vascular and nerve function evaluation system for osteotomy of diabetic foot described in any one of claims 1-7, characterized in that, Including the following steps: S1: Multimodal data synchronous acquisition: Multimodal data is collected through the data acquisition module, ensuring that the data acquisition frequency is not less than once a day, and marking the timestamp and patient identity information; S2: Data standardization and normalization processing: The raw data collected in step S1 is standardized to eliminate the dimension difference, using the formula: Among them, X is the original data value, X min and X max are respectively the minimum and maximum values of the same type of data, and the processed data is stored in the encrypted database; S3: Dynamic evaluation of vascular function: Based on the ankle-brachial index (ABI) and the peripheral blood flow velocity, calculate the vascular function recovery rate, and the formula is: If R vascular < 60%, then a warning signal is triggered and the patient is marked as a high-risk patient; S4: Statistical analysis of nerve function: Perform a paired t-test on the Michigan neurological signs score (MNSI) and the nerve conduction velocity, and the formula is: Among them, M1 and M2 are the mean scores of the improved technology and the traditional technology respectively, s p is the combined standard deviation, and n is the sample size; S5: Wound healing trend modeling Based on the wound area and healing time data, an exponential decay model is constructed to predict the healing cycle, and the formula is: A(t) = A0·e -kt where A(t) is the wound area at time t, A0 is the initial area, and k is the healing rate constant, and the parameters are fitted by the nonlinear least squares method; S6: Visualization of multi-dimensional results: Integrate the blood vessel function recovery rate, the statistical results of nerve function, and the wound healing model into a dynamic trend graph, including the comparison curves at 3 months and 6 months after surgery, and display the abnormal data threshold, the warning area, and the personalized intervention suggestions through the interactive interface; S7: Data encryption and cloud sharing: Encrypt the evaluation results using the AES-256 algorithm, synchronize the data to the cloud server through the HL7 / FHIR protocol, support multi-center research data sharing and remote consultation, and at the same time generate a clinical research report that meets the ISO standard and automatically archive it.

9. The method for evaluating vascular and nerve function after osteotomy of diabetic foot according to claim 1, wherein In S3, the normal ABI threshold is set to 0.

9. If the postoperative ABI continues to be lower than 0.5, it is determined that the vascular reconstruction fails and an emergency intervention process is initiated.

10. The method for evaluating vascular and nerve function after osteotomy of diabetic foot according to claim 1, wherein, The calculation of the healing rate constant k described in S5 needs to satisfy the goodness of fit R 2 > 0.85, otherwise, re - collect the data and optimize the model parameters.

Images