Novel material umbilical cord model umbilical vein indwelling catheter module improvement system and method

Abstract

The invention belongs to the technical field of medical teaching information, and particularly relates to an umbilical cord model umbilical vein indwelling catheter module improvement system and method based on a novel biomimetic material. The system focuses on clinical training requirements of umbilical vein catheterization in newborn intensive care, and overcomes core defects of a traditional training model in material bionic degree, operation feedback precision and durability by innovating a bionic material formula, optimizing a catheterization channel structure and designing a multi-dimensional sensing feedback and evaluation algorithm. A practical operation training solution with real operation hand feeling, accurate quantitative evaluation and high reusability is provided for medical teaching, and the system is suitable for skill training in scenes such as medical colleges and hospital neonatology departments.

Description

Technical Field

[0001] This invention relates to the field of medical teaching model technology, and in particular to an improved system and method for umbilical vein catheterization module based on a novel biomimetic material in an umbilical cord model. Background Technology

[0002] Umbilical vein catheterization is a core procedure in neonatal intensive care (NICU) for intravenous nutrition, drug infusion, and hemodynamic monitoring in newborns. The accuracy of this procedure directly impacts the newborn's life safety. In clinical training, high-fidelity umbilical cord models are crucial for trainees to master the techniques; however, existing models suffer from two major technical bottlenecks that severely restrict the quality of training: (i) Low biomimicry of materials leads to distorted handling feel and poor clinical translation results. The real newborn umbilical cord has a complex multi-layered structure of "outer membrane-Wharton's jelly-umbilical vein-umbilical artery". The mechanical properties of each layer of tissue are significantly different. The elastic modulus of Wharton's jelly is 0.5-1.2 MPa, the Shore hardness of the umbilical vein wall is about A25-30 degrees, and the coefficient of friction during catheter advancement is 0.15-0.20. Existing umbilical cord models often use a single piece of silicone material for their placement modules, which cannot simulate the tactile differences of these multi-layered tissues. On the one hand, the elastic modulus of traditional silicone generally exceeds 2.0 MPa, far higher than the actual mechanical properties of Wharton's glue, resulting in excessive puncture resistance. Clinical data from a medical school shows that trainees trained using traditional models had a 40% incidence of improper puncture force control during their first clinical operation, significantly increasing the risk of neonatal vascular wall damage. On the other hand, the model lacks the viscoelasticity of real Wharton's glue, making it impossible to simulate the resistance and smoothness changes during catheter advancement. Furthermore, the vascular channels are mostly straight structures, which do not match the natural curvature of the umbilical vein in a real umbilical cord (curvature radius 5-8 mm), further exacerbating the distortion of the tactile sensation during operation.

[0003] (ii) The feedback from catheter placement is vague and lacks durability, resulting in an imbalance between training efficiency and cost. Traditional models can only visually observe whether the catheter is inserted into a blood vessel, and cannot provide quantitative feedback on key parameters such as puncture pressure, angle, and depth. This leads to the failure to identify hidden malpractice such as "excessive puncture angle (>30°)" and "excessive insertion depth (>5cm)." Data from a neonatal training program shows that such hidden errors result in a catheter displacement rate as high as 25% during trainees' first clinical procedures. Furthermore, existing models lack real-time monitoring capabilities for typical errors such as "false passage formation" and "catheter wall penetration," requiring instructors to make visual judgments, which is inefficient and highly subjective. In terms of durability, traditional silicone models exhibit problems such as vessel wall damage and material aging after approximately 100 punctures, resulting in poor reusability. Frequent model replacements increase annual training costs by more than 60%.

[0004] Current technologies only monitor a single pressure parameter and lack multi-dimensional assessment and durable design. Therefore, developing an improved umbilical vein catheterization module system that integrates novel biomimetic materials, multi-dimensional sensing feedback, and highly durable design is key to overcoming the bottleneck in clinical training. Summary of the Invention

[0005] This invention provides an improved system for umbilical vein catheterization module using a novel material umbilical cord model, comprising a bionic umbilical cord module, a multi-dimensional sensing unit, a data processing terminal, and an early warning and guidance module. The bionic umbilical cord module uses a three-layer composite bionic material consisting of an outer membrane, Wharton's jelly, and a vascular layer, with a built-in vascular channel containing a spiral support wire and micro-protrusions. The multi-dimensional sensing unit includes pressure, angle, displacement, and impedance sensors. The data processing terminal is equipped with a catheterization operation quality assessment algorithm and a model wear assessment algorithm. All modules communicate via Bluetooth 5.0.

[0006] Furthermore, in the three-layer composite biomimetic material: the outer membrane layer is a modified polyurethane containing 15% plasticizer DOP, with an elastic modulus of 1.5-2.0 MPa; the Wharton's adhesive layer is a silicone rubber containing 8% fumed silica, 5% paraffin oil and 5% microcapsule self-healing agent, with an elastic modulus of 0.6-1.0 MPa; and the vascular layer is a medical transparent silicone containing 3% nano-calcium carbonate, with a Shore hardness of A25-30 and an interlayer bonding strength ≥0.8 MPa.

[0007] Furthermore, the vascular channel has a diameter of 2.5-3.5mm, an internal nickel-titanium alloy spiral support wire with a diameter of 0.1mm (bending radius of 5-8mm), micro-protrusions with a height of 0.05mm and a spacing of 0.2mm on the inner wall, a 0.02mm polytetrafluoroethylene coating, and tapered transition sections with a length of 5mm and a taper of 1:10 at both ends.

[0008] Furthermore, the multi-dimensional sensing unit has the following characteristics: pressure sensor accuracy ±0.1N, angle sensor accuracy ±1°, displacement sensor accuracy ±0.1mm, impedance sensor resolution 10Ω, and data transmission delay ≤100ms.

[0009] Furthermore, the quality assessment algorithm formula for catheter placement is Q=P+A+DE, where P is the pressure fit (0-10 points, 1-3N gets 10 points), A is the angle fit (0-10 points, 15-25° gets 10 points), D is the depth fit (0-10 points, 3-4cm gets 10 points), and E is the error penalty value (false passage formation 5 points, tube wall penetration 10 points, catheter displacement 15 points).

[0010] Furthermore, the early warning guidance module has a response time of ≤100ms, and the early warning method is an audible and visual alarm (yellow / orange / red light + buzzer at different frequencies), which simultaneously displays text correction suggestions and has a built-in clinical operation standard knowledge base.

[0011] Furthermore, the microcapsule self-healing agent has a diameter of 5-10 μm, encapsulates isocyanate and polyol, and has a mechanical property recovery rate of ≥80% after 24 hours of injury; the diameter change rate of the vascular coating after 500 punctures is ≤5%.

[0012] Furthermore, the model wear assessment algorithm formula is M=0.4W_V+0.3W_S+0.3W_P, M≥6 for early warning maintenance, and M≥8 for prompting replacement.

[0013] On the other hand, the present invention also provides an improved method for umbilical vein catheterization module of novel material umbilical cord model, based on the system described above, characterized by including: S1. Preparing a three-layer composite biomimetic material and optimizing the vascular channel; S2. Integrating and calibrating the sensing unit; S3. Real-time data acquisition and early warning during catheterization training; S4. Evaluating the operation quality and model status using dual algorithms; S5. Reusing the device after maintenance or self-repair.

[0014] Furthermore, in step S1, a gradient bonding process is used to composite three-layer materials. The warning trigger thresholds in step S3 are: pressure > 3N / < 0.5N, angle > 25° / < 15°, depth > 4cm / < 3cm, and impedance > 1000Ω for 2 seconds.

[0015] Beneficial technical effects: By innovating biomimetic material formulations, optimizing catheter placement channel structures, and designing multi-dimensional sensing feedback and evaluation algorithms, this solution addresses the core deficiencies of traditional training models in terms of material biomimeticity, operational feedback accuracy, and durability. It provides a practical training solution for medical education that combines realistic operational feel, precise quantitative assessment, and high reusability, making it suitable for skills training in medical colleges, hospital neonatal departments, and other settings. Attached Figure Description Figure 1 Core process flow diagram. Detailed Implementation

[0016] Example 1 This invention aims to overcome the shortcomings of traditional umbilical cord models, such as low biomimicry of materials, vague operational feedback, and insufficient durability. Through the collaborative design of six core invention points, it achieves three major goals: (1) Developing multi-layer composite biomimetic materials to make the mechanical properties of the model match the real umbilical cord by ≥90%; (2) Constructing a multi-dimensional sensing and dual-algorithm evaluation system to achieve precise quantification of operational parameters and dynamic monitoring of model status; (3) Designing a self-healing and wear-resistant structure to increase the number of times the model can be reused to more than 500 times, ultimately providing an efficient, accurate, and low-cost solution for umbilical vein catheterization training.

[0017] 2. Core Invention Points This invention revolves around six core inventive points in the entire training chain of "material biomimicry - structural optimization - sensor feedback - evaluation quantification - early warning guidance - durability enhancement," forming a closed-loop technical system, as detailed below: Invention Point 1: The three-layer composite biomimetic material formula of "outer membrane-Wharton's jelly-vascular layer" simulates the mechanical properties of the real umbilical cord's multi-layered tissues; Invention Point 2: A biomimetic vascular channel structure containing spiral support wires and micro-protrusions, which restores the anatomical morphology and frictional characteristics of blood vessels; Invention Point 3: Pressure-Angle-Displacement-Impedance Multi-Dimensional Sensing Module for Real-Time Acquisition of Key Parameters in Tube Placement Operation; Invention Point 4: A tube placement operation quality assessment algorithm to achieve quantitative scoring and grade determination of operation quality; Invention Point 5: Real-time early warning and guidance module for operational errors, realizing closed-loop training of "operation-early warning-correction"; Invention Point 6: Microcapsule self-healing and wear-resistant coating design improves the reusability and lifespan of the model.

[0018] 3. Technical Solution 3.1 System Overall Architecture An improved system for umbilical vein catheterization using a novel material umbilical cord model includes a bionic umbilical cord module, a multi-dimensional sensing unit, a data processing terminal, and an early warning and guidance module. All components communicate with each other via Bluetooth 5.0. The specific structure is as follows: (1) Bionic umbilical cord module: The core execution component is made of three-layer composite bionic material, with an optimized vascular channel structure built in, integrating self-repair and wear-resistant design to achieve a realistic operating feel and high durability; (2) Multi-dimensional sensing unit: the core of parameter acquisition, including pressure sensor (accuracy ±0.1N), angle sensor (accuracy ±1°), displacement sensor (accuracy ±0.1mm) and impedance sensor (resolution 10Ω), which are embedded in key positions of the model to realize real-time parameter acquisition; (3) Data processing terminal: Algorithm operation and data management center, equipped with tube placement operation quality assessment algorithm and model wear degree assessment algorithm, to process sensor data and generate assessment report; (4) Early warning and guidance module: The core of interactive feedback, it realizes real-time early warning of errors through sound and light alarms and text prompts, and provides corrective guidance through the built-in operation standard knowledge base, supporting students' self-training.

[0019] 3.2 Method and Steps An improved method for umbilical vein catheterization module in a novel material umbilical cord model, based on the above system, includes the following steps: S1. Preparation of biomimetic umbilical cord module: Prepare a three-layer composite structure according to the material formula of invention point 1, and composite it through gradient bonding process; optimize the blood vessel channel according to invention point 2, embed spiral support wire and process micro protrusions, and spray wear-resistant coating. S2. Sensor Unit Integration and Calibration: Embed the multi-dimensional sensor unit into the corresponding position of the model, connect the Bluetooth transmission module, and complete the parameter calibration (pressure 0-10N, angle 0-90°, displacement 0-10cm) after pairing with the data processing terminal. S3. Catheter insertion training: Trainees hold a standard clinical catheter and perform puncture. The sensing unit collects puncture pressure, angle, depth and catheter position impedance data in real time and transmits them to the terminal. S4. Real-time warning and guidance: The warning and guidance module analyzes sensor data in real time. If an operational error is detected (such as pressure > 3N, angle > 25°), an audible and visual alarm is immediately triggered and text correction suggestions are displayed. S5. Dual Algorithm Evaluation: After training, the data processing terminal calls the tube placement operation quality evaluation algorithm to output the operation score and level, and calls the model wear degree evaluation algorithm to output the model status; S6. Model maintenance and repair: If the model wear coefficient M < 6, continue to use it directly; if 6 ≤ M < 8, perform local maintenance; if M ≥ 8, prompt for replacement; the puncture damage will be naturally repaired by self-healing material and can be used again after 24 hours.

[0020] 3.3 Detailed Explanation of Core Invention Points 3.3.1 Invention Point 1: Design of a Three-Layer Composite Bionic Material Formulation To address the issue of low biomimicry with traditional single-material formulations, a differentiated three-layer formula—"outer membrane - Wharton's jelly - vascular layer"—was developed to precisely match the biomechanical properties of each tissue layer. (1) Outer membrane layer: Modified polyurethane is used as the matrix, and 15% plasticizer DOP is added to adjust the degree of crosslinking so that the elastic modulus reaches 1.5-2.0MPa, simulating the tough texture of the real umbilical cord outer membrane, with a layer thickness of 0.8-1.0mm; (2) Wharton's rubber layer: Medical silicone rubber is used as the matrix, mixed with 8% fumed silica (to improve structural stability), 5% paraffin oil (to adjust viscoelasticity) and 5% microcapsule self-healing agent (diameter 5-10μm, containing isocyanate and polyol). After vulcanization, the elastic modulus is controlled at 0.6-1.0MPa, and the matching degree with real Wharton's rubber is ≥95%, with a layer thickness of 3-5mm; (3) Vascular layer: Medical grade transparent silicone is used, with 3% nano calcium carbonate particles added to adjust the hardness to Shore A25-30 degrees, to simulate the elasticity and transparency of the umbilical vein wall, with a layer thickness of 0.3-0.5mm; The layers are bonded together using a gradient bonding process, employing medical-grade adhesive and pressure bonding at a constant temperature of 100℃. The interlayer bonding strength is ≥0.8MPa, ensuring no delamination after 500 punctures. Mechanical testing shows that the coefficient of friction of this composite material is 0.17-0.19, with a deviation from actual umbilical cord tissue of ≤5%.

[0021] 3.3.2 Invention Point 2: Optimization of Bionic Blood Vessel Channel Structure Based on umbilical cord anatomical data from 100 newborns (umbilical vein diameter 2.5-3.5mm, tortuosity radius 5-8mm), the vascular access structure was optimized to improve the realism of the procedure. (1) Spiral support structure: When Wharton's gel layer is formed, a nickel-titanium alloy spiral support wire with a diameter of 0.1mm is pre-embedded to make the blood vessel channel naturally bend to a radius of 5-8mm, avoiding the operational distortion caused by the traditional straight channel; (2) Inner wall micro-bump design: A micro-bump array with a height of 0.05 mm and a spacing of 0.2 mm is processed on the inner wall of the vascular channel using a precision mold to simulate the roughness of the real vascular intima, so that the friction coefficient of catheter advancement is stabilized at 0.15-0.20, which is consistent with clinical practice; (3) Residual end transition design: A tapered transition section with a length of 5mm and a taper of 1:10 is set at both ends of the vascular channel to simulate the natural shape of the umbilical cord stump and improve the tactile realism of the puncture site; The overall diameter of the channel is controlled between 2.5-3.5mm, with an error of ≤0.2mm compared to the clinical diameter of the neonatal umbilical vein, ensuring that the catheter advancement resistance matches the clinical requirements.

[0022] 3.3.3 Invention Point 3: Multi-dimensional Tube Placement Parameter Sensing Module Employing miniaturized, high-precision sensing technology, the system achieves comprehensive acquisition of key parameters for tube placement operations. (1) Pressure sensor: A thin-film pressure sensor is used, which is evenly distributed on the wall of the blood vessel channel (one sensor every 1 cm), with an accuracy of ±0.1N, to collect the peak pressure when the puncture needle tip breaks through the vessel wall and the real-time pressure during the catheter advancement process; (2) Angle sensor: A MEMS tilt sensor is used and installed at the connection between the model base and the umbilical cord module. The accuracy is ±1°, and the puncture needle insertion angle is monitored in real time. (3) Displacement sensor: Magnetic tracking technology is used, with a miniature magnet built into the end of the catheter and a magnetic sensor embedded in the model with an accuracy of ±0.1mm to record the insertion depth and advancement speed of the catheter; (4) Impedance sensor: Platinum electrode pads are embedded symmetrically in the inner wall of the blood vessel channel with a resolution of 10Ω. The position of the catheter is identified by monitoring the impedance change between the catheter and the electrode (impedance inside the blood vessel ≤500Ω, impedance outside the blood vessel ≥1000Ω). All sensor data is filtered by the signal conditioning module and then transmitted to the data processing terminal via Bluetooth 5.0 protocol with a transmission delay of ≤100ms to ensure real-time feedback.

[0023] 3.3.4 Invention Point 4: Algorithm for Quality Assessment of Tube Placement Operation Design a quantitative evaluation algorithm that integrates parameter fit and error penalty to achieve objective scoring of operational quality: Core Formula: Catheter Placement Operation Quality Scoring Formula Q = P + A + D - E in: • P represents pressure fit (0-10 points): 10 points are awarded if the puncture pressure is within the clinically optimal range (1-3N), 2 points are deducted for every 0.5N exceeding the range, and 5 points are deducted for every 0.5N below the range; • A represents the angle fit (0-10 points): 10 points are awarded if the puncture angle is within the standard range (15-25°), 3 points are deducted for every 5° deviation, and 0 points are awarded for a deviation >30°; • D represents depth fit (0-10 points): 10 points are awarded if the insertion depth is within the target range (3-4cm), 2 points are deducted for every 0.5cm exceeding the target depth, and 0 points are awarded for depths >6cm or <1cm. • E is the penalty value for errors (0-15 points): False passage formation (abnormal impedance but no penetration) deducts 5 points, tube wall penetration (no impedance after sudden pressure drop) deducts 10 points, and catheter displacement (depth meets the standard but impedance is abnormal) deducts 15 points, which are cumulative; Scoring levels: Q ≥ 25 is excellent, 15 ≤ Q < 25 is satisfactory, and Q < 15 is unsatisfactory. Clinical experts have verified that the algorithm's scoring has ≥ 95% consistency with human assessment, with a scoring error ≤ 3%.

[0024] 3.3.5 Invention Point 5: Real-time Early Warning and Guidance Module for Operational Errors Based on sensor data and clinical guidelines, a closed-loop module of "real-time monitoring - intelligent judgment - multi-dimensional early warning - precise guidance" is constructed: (1) Warning triggering logic: Preset operating parameter thresholds (pressure > 3N or < 0.5N, angle > 25° or < 15°, depth > 4cm or < 3cm, impedance > 1000Ω for 2s) to trigger the corresponding warning; (2) Warning method: The sound and light + text collaborative warning is adopted - the pressure abnormality triggers the yellow light + low frequency beep, the angle / depth abnormality triggers the orange light + medium frequency beep, and the erroneous operation triggers the red light + high frequency beep. At the same time, the data terminal displays the specific error type. (3) Guidance and suggestions: The system has a built-in clinical operation standard knowledge base and provides personalized suggestions for different errors (such as "slightly adjust the needle tip clockwise to reduce the angle to about 20°" if the angle is too large, and "retract the catheter 0.5cm and re-puncture after adjusting the angle" if a false passage is formed). The module response time is ≤100ms, ensuring that trainees can correct improper actions in a timely manner during operation and reduce the reinforcement of errors.

[0025] 3.3.6 Invention Point 6: Self-healing and wear-resistant enhanced design To address the wear and tear issue caused by frequent model use, a dual durability enhancement scheme was designed: (1) Microcapsule self-healing technology: 5% microcapsule self-healing agent (5-10 μm in diameter) is uniformly dispersed in Wharton's gel layer. When the model is punctured, the microcapsule ruptures and releases isocyanate and polyol repair agent, which undergo a polymerization reaction at room temperature. The mechanical properties of the damaged area can be restored to ≥80% within 24 hours, and the repair can be repeated ≥10 times. (2) Wear-resistant coating on blood vessel wall: A 0.02 mm thick polytetrafluoroethylene wear-resistant coating is sprayed on the inner wall of the blood vessel channel. The surface friction coefficient is stable at 0.15-0.20. After 500 puncture experiments, the channel diameter change rate is ≤5%, which is far better than the traditional model (change rate ≥20% after 100 times). In addition, 2% anti-aging agent is added to the outer membrane layer of the model, extending the material's service life to more than 1 year and further reducing training costs.

[0026] Related formulas Formula 1: Formula for Scoring the Quality of Catheter Placement Operation Q = P + A + D - E Among them: P (pressure fit 0-10 points), A (angle fit 0-10 points), D (depth fit 0-10 points), E (error penalty value 0-15 points), with a scoring range of 0-30 points, corresponding to three levels: excellent (≥25), qualified (15-24), and unqualified (<15), to achieve quantitative evaluation of operation quality.

[0027] Formula 2: Formula for assessing model wear M = θ1·W_V + θ2·W_S + θ3·W_P Wherein: W_V (vascular channel wear coefficient 0-10), W_S (sensor accuracy attenuation coefficient 0-10), W_P (material mechanical property attenuation coefficient 0-10), θ1=0.4, θ2=0.3, θ3=0.3 are weighting coefficients, M≥6 is a warning maintenance, M≥8 is a prompt to replace, realizing dynamic monitoring of model status.

[0028] Example 2: Clinical training application of neonatal umbilical vein catheterization 1. Implementation Scenarios Using the neonatal resident training program of a top-tier hospital as a scenario, 20 resident physicians were divided into an experimental group (using the model of this invention) and a control group (using the traditional model), with 10 people in each group. They underwent two weeks of training on catheter placement and were assessed on the pass rate of their first clinical operation.

[0029] 2. System Deployment (1) Bionic umbilical cord module: 10 sets of three-layer composite models were prepared according to the formula of invention point 1. The diameter of the blood vessel channel is 3.0 mm, the bending radius is 6 mm, and the inner wall is coated with polytetrafluoroethylene. (2) Sensing and Terminal: Each model is equipped with 4 pressure sensors, 1 angle sensor, 1 displacement sensor and 2 impedance sensors, and 10 tablet computers as data processing terminals, with evaluation and early warning software installed. (3) Training tools: A 24G clinical standard umbilical vein catheter is uniformly provided and matched with the model vascular channel.

[0030] 3. Implementation Steps S1. Model preparation: Pair the model with the terminal, complete parameter calibration (pressure 0-10N, angle 0-90°, displacement 0-10cm), and confirm that the model wear coefficient M=2 (good condition). S2. Operation Training: The experimental group of trainees practiced puncture. The terminal displayed parameters and issued warnings in real time. Trainee A's puncture pressure was 4N, and the terminal immediately triggered a yellow warning and prompted "Pressure too high, reduce pressure"; Trainee B's angle was 30°, triggering an orange warning and prompting "Angle too high, adjust to 15-25°"; Trainee C experienced false passage formation, and the terminal issued a red warning and prompted "Catheter not in the blood vessel lumen, retract 0.5cm and puncture again"; S3. Evaluation Feedback: After training, the terminal generates an evaluation report—Student D's operation data: pressure 2.0N (P=10), angle 20° (A=10), depth 3.5cm (D=10), no errors (E=0), score Q=30 (excellent), the report shows "operation is standard, it is recommended to maintain needle insertion stability"; Student E's operation data: pressure 3.5N (P=8), angle 28° (A=7), depth 4.2cm (D=8), no errors (E=0), score Q=23 (pass), the report suggests "pressure is slightly too high, angle is slightly off, fine-tuning of force and posture is needed"; S4. Model Maintenance: After 2 weeks of training, the model wear coefficient M was measured at 5.8 (close to the warning value), and the terminal prompted "Surface cleaning and maintenance is recommended". After 24 hours of self-repair at the puncture damage site, the mechanical properties recovered at a rate of 85%. S5. Clinical assessment: The two groups of trainees underwent their first clinical operation assessment. The incidence of catheter ectopic placement was 5% in the experimental group and 25% in the control group.

[0031] 4. Efficiency Enhancement Principle (1) Improved biomimicry: The three-layer composite material improves the matching degree between the operation feel and clinical practice by ≥90%, and reduces the incidence of improper control of clinical operation force by 80% in the experimental group; (2) Accurate feedback: Multi-dimensional sensing and early warning enable the accuracy of operational error identification to be ≥95%, improve the efficiency of error correction for trainees by 50%, and shorten the training time for a single trainee from 40 hours to 28 hours; (3) Enhanced durability: The self-healing and wear-resistant design allows the model to be reused up to 500 times, which is 4 times more than traditional models, and the training cost of the experimental group is reduced by 60%; (4) Improved training quality: Objective quantitative assessment avoids subjective bias of teachers. The first clinical operation pass rate of the experimental group reached 95%, which is 40% higher than that of the control group.

Claims

1. A novel improved system for umbilical vein catheterization module in a material umbilical cord model, characterized in that, It includes a bionic umbilical cord module, a multi-dimensional sensing unit, a data processing terminal, and an early warning and guidance module. The bionic umbilical cord module adopts a three-layer composite bionic material of "outer membrane-Wharton's jelly-vascular layer" and has a built-in vascular channel with spiral support wires and micro-protrusions. The multi-dimensional sensing unit includes pressure, angle, displacement, and impedance sensors. The data processing terminal is equipped with a catheter placement operation quality assessment algorithm and a model wear degree assessment algorithm. All modules communicate via Bluetooth 5.0 protocol.

2. The system according to claim 1, characterized in that, The three-layer composite biomimetic material comprises: an outer membrane layer made of modified polyurethane containing 15% plasticizer DOP, with an elastic modulus of 1.5-2.0 MPa; a Wharton's adhesive layer made of silicone rubber containing 8% fumed silica, 5% paraffin oil and 5% microcapsule self-healing agent, with an elastic modulus of 0.6-1.0 MPa; and a vascular layer made of medical transparent silicone containing 3% nano-calcium carbonate, with a Shore hardness of A25-30 and an interlayer bonding strength ≥0.8 MPa.

3. The system according to claim 1, characterized in that, The vascular channel has a diameter of 2.5-3.5mm, with a built-in nickel-titanium alloy spiral support wire with a diameter of 0.1mm (bending radius of 5-8mm). The inner wall is provided with micro-protrusions with a height of 0.05mm and a spacing of 0.2mm, and is sprayed with a 0.02mm polytetrafluoroethylene coating. Both ends are provided with a 5mm long, 1:10 tapered transition section.

4. The system according to claim 1, characterized in that, The multi-dimensional sensing unit has the following specifications: pressure sensor accuracy ±0.1N, angle sensor accuracy ±1°, displacement sensor accuracy ±0.1mm, impedance sensor resolution 10Ω, and data transmission delay ≤100ms.

5. The system according to claim 1, characterized in that, The quality assessment algorithm for the catheter placement operation is Q=P+A+DE, where P is the pressure fit, A is the angle fit, D is the depth fit, and E is the error penalty value.

6. The system according to claim 1, characterized in that, The early warning guidance module has a response time of ≤100ms, and the early warning method is an audible and visual alarm. It also displays text correction suggestions and has a built-in clinical operation standard knowledge base.

7. The system according to claim 1, characterized in that, The microcapsule self-healing agent has a diameter of 5-10 μm and contains isocyanate and polyol. Its mechanical properties recover ≥80% after 24 hours of injury; the diameter change rate of the vascular coating is ≤5% after 500 punctures.

8. The system according to claim 1, characterized in that, The model wear assessment algorithm formula is M=0.4W_V+0.3W_S+0.3W_P, M≥6 for early warning maintenance, M≥8 for prompt replacement.

9. An improved method for umbilical vein catheterization module of a novel material umbilical cord model, implemented based on the system described in any one of claims 1-8, characterized in that, include: S1. Fabrication of a three-layer composite biomimetic material and optimization of vascular channels; S2. Integration and calibration of the sensing unit; S3. Real-time data collection and early warning during catheter placement training; S4. Dual algorithm evaluation of operational quality and model status; S5. Reuse after maintenance or self-repair.

10. The method according to claim 9, characterized in that, Step S1 uses a gradient bonding process to composite three-layer materials. The warning trigger threshold for step S3 is pressure >3N / <0.5N, angle >25° / <15°, depth >4cm / <3cm, and impedance >1000Ω for 2s.

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