POCUS Arrest Trainer With Real-Time Probe Tracking Feedback
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Solution Overview
Problem
Current CPR training systems lack the ability to simulate internal anatomy and physiological changes during cardiorespiratory arrest, limiting the effectiveness of ultrasound training and increasing risks to real patients, while existing manikins do not provide dynamic assessment during cardiac events.
Innovation Solution
A system and method that uses a combination of internal and external references, such as RFID tags and gyroscopic sensors, to track the orientation and position of ultrasound devices relative to a simulated body, allowing for real-time imaging and feedback during dynamic movements, simulating realistic clinical scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ultrasound training is conducted on live patients, then training realism and skill acquisition are improved, but patient safety and ethical compliance deteriorate
Solution Approach 1:
The patent creates a realistic copy of human internal anatomy using 3D printing technology. The anatomical models replicate actual human tissue structures, densities, and acoustic properties, allowing trainees to practice ultrasound procedures on lifelike replicas without risking patient safety. This copying approach maintains training realism while completely eliminating patient harm.
Solution Approach 2:
The patent modifies physical parameters of training materials by using 3D-printed anatomical models with controlled tissue-equivalent acoustic properties. By adjusting density, composition, and structural parameters of the printed models, the system achieves realistic ultrasound imaging characteristics while maintaining safety and ethical compliance.
2Loss of information
If static anatomical models are used in manikins, then internal anatomy visualization is provided, but dynamic physiological changes during CPR cannot be simulated
Solution Approach 1:
The patent transforms static anatomical models into dynamic simulations by integrating them with motion capture technology and real-time rendering systems. The 3D-printed anatomical structures are combined with sensors and software that simulate physiological changes during CPR, such as heart movement, blood flow variations, and tissue deformation, allowing trainees to observe dynamic physiological responses.
Solution Approach 2:
The patent merges 3D-printed anatomical models with motion sensors, feedback systems, and computational simulation software. This combination creates an integrated training system that preserves the realistic anatomical visualization of printed models while adding dynamic physiological feedback through sensors and real-time computational rendering.
3Measurement precision
If real-time ultrasound feedback during CPR is implemented, then compression quality assessment is improved, but training system complexity increases
Solution Approach 1:
The patent replaces complex mechanical ultrasound imaging systems with simplified optical or electromagnetic sensing alternatives. Motion capture cameras, accelerometers, or other non-ultrasound sensing technologies are used to track compression depth, rate, and quality, providing real-time feedback without the complexity of actual ultrasound hardware while maintaining measurement precision.
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 accurate and safe training of POCUS-CA procedures by providing real-time feedback and simulating dynamic anatomical changes, reducing risks to patients and improving the survivability of CPR compressions.
Implementation Method 1
A system and method that uses a combination of internal and external references, such as RFID tags and gyroscopic sensors, to track the orientation and position of ultrasound devices relative to a simulated body
Implementation Method 2
A system and method that uses a combination of internal and external references, such as RFID tags and gyroscopic sensors, to track the orientation and position of ultrasound devices relative to a simulated body
Implementation Method 3
Point-of-care ultrasound (POCUS) cardiorespiratory arrest trainer
Data Source
AI summary
A multi-functional training system for ultrasound, auscultation, and pressure-based clinical procedures is disclosed. The system includes at least one pressure sensing layer and surface or near-surface references to determine the location, orientation, and applied pressure of devices such as ultrasound probes and stethoscopes. A computing unit, executes software modules to receive sensor data, determine positioning, and provide visual and feedback outputs. The system supports realistic simulation across diverse patient profiles and scenarios, including neonatal, pediatric, adult, geriatric, and animal forms. The system facilitates accurate training aligned with clinical protocols such as Advanced Cardiac Life Support (ACLS) and FAST/eFAST, and enables tracking of multiple devices and limb elements simultaneously. An optional second pressure layer allows force vector and absolute pressure measurement for use in palpation, hemorrhage control, and object placement training. The system improves procedural training fidelity through integrated feedback on device positioning, orientation, and force application.