Surgical Simulation Model with Integrated Sensor Arrays
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Solution Overview
Problem
Current surgical simulation and training methods lack the ability to systematically measure and evaluate the performance of surgeons in complex scenarios, which hinders the improvement of patient safety and surgical precision.
Innovation Solution
Integration of sensors into anatomical model structures to register and store parameters such as pressure, accuracy, tension, position, and strength during simulations, along with timestamping and optical recording, allowing for comprehensive evaluation of surgical performance without compromising haptic and optical realism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are integrated into anatomical model structures to register surgical parameters, then measurement precision and evaluation capability are improved, but device complexity increases
Solution Approach 1:
The patent integrates sensors directly into the anatomical model structures, merging the measurement function with the anatomical representation. This allows surgical parameters (pressure, force, displacement) to be measured during simulation without requiring separate external measurement devices, thereby improving measurement precision while managing complexity through unified design.
Solution Approach 2:
The anatomical model structures serve multiple functions: they provide realistic anatomical representation for training, simultaneously act as sensor carriers for parameter measurement, and function as the surgical target. This multi-functionality enables comprehensive evaluation of surgical skills while reducing the need for separate measurement systems.
2Adaptability or versatility
If multiple sensors are integrated to register various parameters (pressure, accuracy, tension, position, strength), then training evaluation capability is improved, but ease of operation decreases
Solution Approach 1:
The sensor system automatically registers and stores surgical parameters during the simulation without requiring manual intervention or complex setup procedures. The system self-monitors parameters such as pressure, force, and displacement, and automatically evaluates performance, reducing the operational burden on users while maintaining comprehensive evaluation capabilities.
Solution Approach 2:
The integrated sensor system provides real-time feedback on surgical parameters during training simulations. By automatically measuring and displaying parameters like pressure applied, force exerted, and positional accuracy, the system enables trainees to receive immediate feedback on their performance without adding operational complexity.
3Measurement precision
If sensors are seamlessly integrated into modeled anatomy parts, then measurement precision is improved, but manufacturing precision requirements increase
Solution Approach 1:
The patent employs composite material structures where sensors are embedded within or attached to anatomical model parts made of plastics or intelligent materials. This allows the sensor to become an integrated component of the model structure, achieving precise measurement while managing manufacturing complexity through established composite material techniques.
Solution Approach 2:
The sensor integration is optimized at specific locations within the anatomical model where measurement is most critical. By placing sensors at key positions (such as tissue interfaces or load-bearing areas), the system achieves high measurement precision without requiring uniformly high precision across the entire model structure.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the first-ever comprehensive evaluation of surgical training performance, enhancing patient safety by providing realistic and accurate assessments of surgical skills, which were previously unattainable with existing methods.
Implementation Method 1
a parameter of the surgery simulation, such as pressure, accuracy, tension, position and/or strength, is registered by a sensor
Implementation Method 2
provision is made for at least one of the parameters to be registered by way of an optical recording
Data Source
AI summary
The invention relates to a method and an arrangement for simulating neurosurgical and orthopaedic spinal colunm and cerebral surgery, provided in which method are model structures which form anatomical structures and which are optically, haptically and functionally modelled on organs or organ parts to be surgically treated, by means of which model structures simulated surgical operations are carried out. The problem addressed by the invention is that of making surgery safer by further improving training, and therefore increasing patient safety. This is solved by the sensing of a parameter of the operation simulation, such as pressure, accuracy, tension, position and/or force, by a sensor and the parameter is assigned to and stored with the simulation event, which is outputted in a processed form on request.