Antenna Array Brain Sensing Using Pulsatility-Based Stroke Detection
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Solution Overview
Problem
Current medical imaging technologies like MRI and CT are expensive, limited in availability, and not portable, making them unsuitable for emergency situations, while electromagnetic-based imaging is more affordable and portable but struggles to differentiate ischemic strokes from normal tissue due to low spatial resolution.
Innovation Solution
A computer-implemented process and apparatus that uses an array of antennas to collect and process electromagnetic wave scattering data, generating spectral and pulsatility data to diagnose conditions like hemorrhagic stroke, ischemic stroke, traumatic brain injury, and hydrocephalus by analyzing pulsations within the brain, with temporal spacing of measurements as low as 0.03 seconds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If MRI and CT are used for medical imaging, then imaging accuracy and diagnostic capability are improved, but cost, availability, and portability deteriorate
Solution Approach 1:
The patent replaces complex mechanical imaging systems (MRI, CT) with an electromagnetic-based system using antenna arrays and signal processing. This substitution maintains diagnostic capability while dramatically reducing cost, improving portability, and enabling real-time monitoring through software-based analysis of electromagnetic scattering patterns.
Solution Approach 2:
The patent changes the operating parameters by using electromagnetic frequencies in the 100 MHz to 4 GHz range, which provides adequate penetration into human tissue while enabling portable operation. This parameter selection allows the system to achieve useful imaging depth and resolution without requiring the bulky, expensive infrastructure of traditional MRI or CT systems.
2Device complexity
If electromagnetic based imaging is used, then cost, availability, and portability are improved, but spatial resolution and ability to differentiate ischemic strokes deteriorate
Solution Approach 1:
The patent segments the imaging problem by focusing on detecting blood pulsations in specific brain regions rather than attempting to image entire brain structures at high resolution. By dividing the brain into regions of interest and using multiple antenna elements to sample different locations, the system achieves sufficient diagnostic precision for stroke detection without requiring high overall spatial resolution.
Solution Approach 2:
The patent exploits the periodic nature of blood pulsations to enhance detection capability. By measuring electromagnetic scattering at multiple time points during the cardiac cycle and analyzing temporal variations, the system can differentiate ischemic tissue from healthy tissue based on pulsation characteristics, effectively improving measurement precision through temporal sampling rather than spatial resolution.
3Device complexity
If traditional electromagnetic imaging is used, then portability is improved, but ability to detect and differentiate stroke types in real-time deteriorates
Solution Approach 1:
The patent implements feedback through real-time signal processing and analysis of electromagnetic scattering patterns. By continuously monitoring pulsation data and comparing it against diagnostic criteria for different stroke types (ischemic vs. hemorrhagic), the system provides reliable, real-time diagnosis that maintains portability. The feedback loop enables dynamic adjustment and confirmation of diagnostic results.
Solution Approach 2:
The patent uses periodic measurements at multiple time points (including temporal spacing of about 0.03 seconds) to capture the dynamic characteristics of blood flow and pulsations. This temporal sampling approach enables real-time detection and differentiation of stroke types by analyzing how pulsation patterns evolve over time, maintaining both portability and diagnostic reliability.
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 localization and differentiation of brain conditions, including ischemic strokes, by providing high spatial resolution images and real-time detection of blood pulsations, improving diagnostic capabilities in emergency situations.
Implementation Method 1
accessing scattering data representing successive sets of measurements of electromagnetic wave scattering by internal features of a body part
Implementation Method 2
each said measurement representing scattering of electromagnetic waves emitted by a corresponding antenna of an array of antennas
Implementation Method 3
processing the spectral data of each antenna for successive times to generate corresponding pulsatility data representing pulsations within a corresponding spatially localized region
Data Source
AI summary
A computer-implemented process for medical sensing, the process including the steps of: accessing scattering data representing successive sets of measurements of electromagnetic wave scattering by internal features of a body part of a living subject, each said measurement representing scattering of electromagnetic waves emitted by a corresponding antenna of an array of antennas disposed about the body part as measured by a corresponding antenna of the array of antennas at a corresponding time, wherein the successive sets of measurements are temporally spaced apart; processing each of the measurements to generate corresponding spectral data representing intensities measured by the corresponding antenna at the corresponding time as a function of frequency; and processing the spectral data of each antenna for successive times to generate corresponding pulsatility data representing successive pulsations within a corresponding spatially localized region within the body part.