Medical Device Simulation Mode via Sensor Data Interception
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Solution Overview
Problem
Current medical simulation methods are not sufficiently realistic, costly, and require dedicated hardware, limiting their flexibility and practicality for training medical personnel, especially since they often rely on artificial data and cannot be used in the actual clinical environment.
Innovation Solution
A method that allows any medical device to be transformed into a simulator by intercepting sensor input data and replacing it with simulated data, enabling realistic training on the actual device in its intended environment without the need for additional hardware, using a processor to generate user outputs based on simulation signals that mimic real clinical parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated simulation hardware or specialized mannequins are used to simulate clinical parameters, then training realism is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses software to create virtual copies of clinical parameter data that mimic real sensor inputs. Instead of physical simulation hardware, the system generates digital replicas of physiological signals (ECG, SpO2, respiratory rate, etc.) that are fed into the medical device, allowing realistic training without complex physical simulators
Solution Approach 2:
The patent replaces mechanical/physical simulation systems with software-based signal generation. The control device uses software modules to generate simulation signals that substitute for physical sensor connections, eliminating the need for specialized mannequins or dedicated simulation hardware while maintaining training realism
2Reliability
If specialized simulation equipment is used, then training capability is improved, but cost increases
Solution Approach 1:
The system creates virtual copies of clinical data through software, eliminating the need for expensive physical simulation equipment. The control device generates digital simulation signals that replicate real patient data, providing comprehensive training capability at minimal cost
Solution Approach 2:
The control device can connect to multiple different medical devices and simulate various clinical parameters through software configuration. A single control device can train on different device types (patient monitors, infusion pumps, etc.) without requiring specialized hardware for each, achieving universal training capability
3Adaptability or versatility
If artificial simulation data is used, then simulation flexibility is improved, but realism decreases
Solution Approach 1:
The system incorporates feedback mechanisms where the control device receives configuration input about the desired clinical scenario and adjusts the simulation signals accordingly. The software can be configured to generate specific pathological patterns, normal variants, or emergency scenarios while maintaining realistic signal characteristics through iterative refinement
Solution Approach 2:
The patent dynamically changes parameters of the simulation signals to reflect different clinical states. The software can adjust frequency, amplitude, and temporal characteristics of simulated physiological signals to represent various patient conditions (e.g., arrhythmias, hypoxia, respiratory distress) while maintaining overall realism
4Reliability
If simulation training is conducted in external simulation centers, then training environment is controlled, but accessibility and convenience decrease
Solution Approach 1:
The control device is designed to be easily configured and operated by end users without requiring specialized training or external support. The software provides intuitive controls for selecting simulation scenarios and configuring parameters, allowing hospitals to independently conduct simulation training programs
Solution Approach 2:
The control device can operate with multiple different medical device types through standardized connections and software configuration. This universality allows the same control device to provide training across different clinical departments and device platforms, greatly enhancing accessibility
Data Source
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AI summary
A method and apparatus for implementing a simulation mode on a medical device, the medical device arranged in a normal operating mode to receive sensor input data, and to generate a sensory output based on the data. The method is based on taking control of the medical device to interrupt the flow of data between the sensor inputs and a monitoring processor of the medical device, and inputting to the processor, in place of the sensor input data, simulation signal data.