AI Stent with Nanoscale Flowmeter Layer for Cerebral Blood Monitoring
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Solution Overview
Problem
Current methods for monitoring mental performance lack a comprehensive and universal approach, especially for real-time applications in human-machine interface systems, with existing techniques offering poor sensitivity and specificity or being cumbersome for use in scenarios like battlefield situations.
Innovation Solution
The AI-NANOFLOWMETER system, which includes a biodegradable endovascular nanoscale-structured flowmeter layer on a vascular stent, uses artificial intelligence and nanoscale microwave ferrites to detect changes in cerebral blood flow by converting blood flow into frequency signals for real-time monitoring and communication through a human-machine interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional monitoring methods are used, then device portability is improved, but measurement precision and sensitivity deteriorate
Solution Approach 1:
The patent replaces conventional mechanical/electronic flow sensors with nanoscale microwave ferrite-based detection. The nanoscale structured flowmeter layer converts blood flow dynamics into frequency signals through microwave interaction, achieving high measurement precision while maintaining device portability through miniaturization and integration with the stent structure.
Solution Approach 2:
The patent utilizes changes in microwave frequency parameters caused by blood flow through the nanoscale structured flowmeter layer. By detecting frequency shifts in microwave signals interacting with the nanoscale ferrite structures, the system achieves precise measurement of cerebral blood flow without requiring bulky conventional monitoring equipment.
2Measurement precision
If nanoscale microwave ferrites are used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges the flow detection function with the stent structure by integrating the nanoscale structured flowmeter layer directly onto the stent surface. This consolidation eliminates separate flow sensors and monitoring devices, reducing overall device complexity while maintaining high measurement precision through the nanoscale ferrite-based detection mechanism.
Solution Approach 2:
The stent structure serves multiple functions: providing vascular support, enabling flow measurement through the integrated nanoscale flowmeter layer, and facilitating wireless communication of data. This multi-functionality reduces the need for separate components, thereby simplifying the overall device while achieving precise flow monitoring.
3Productivity
If real-time monitoring is implemented, then productivity is improved, but loss of energy increases
Solution Approach 1:
The nanoscale microwave ferrite structures utilize the kinetic energy of blood flow itself to generate frequency signals. The blood flow dynamics directly drive the detection mechanism without requiring external power sources or active energy consumption, enabling real-time monitoring while minimizing energy loss.
Solution Approach 2:
The patent replaces active electronic sensing and processing systems with passive nanoscale microwave-ferrite interactions. The frequency signal generation occurs through the physical interaction between blood flow and nanoscale ferrite structures, eliminating the need for energy-intensive electronic components while maintaining real-time monitoring capability.
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 real-time monitoring of mental performance with high sensitivity and specificity, facilitating mental communication without visible devices, and can detect changes in cerebral blood flow for tasks like in-stent re-stenosis and thromboembolism diagnosis.
Implementation Method 1
uses artificial intelligence and nanoscale microwave ferrites to detect changes in cerebral blood flow by converting blood flow into frequency signals
Implementation Method 2
The AI-NANOFLOWMETER detects changes in cerebral blood flow during mental performance by inducing changes in frequency of the nanoparticles placed on the surface of a stent
Data Source
AI summary
This invention is related to artificial intelligent (AI) system with biodegradable endovascular nanoscale-structured flowmeter layer for monitoring cerebral blood flow during mental performance, blood flow through in-stent re-stenosis (ISR) and thromboembolism. The invention is based on blood flow inducing changes in magnetization of nanoscale microwave ferrites. These changes in magnetization, then interact with the microwave in a frequency-dependent manner using a microprocessor for processing and transmission via cellular phone network to human-machine interface for control of computers, machines or weapon systems. It detects reduction of blood flow through ISR and microembolic signals due to thromboembolism of the vessel much earlier before severe symptoms develop.