Stochastic Gabor Function Electrical Impedance Spectroscopy for Brain Injury Detection
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Solution Overview
Problem
Current methods for detecting and monitoring intracranial hemorrhage, stroke, and traumatic brain injury are limited by their inability to accurately and non-invasively distinguish between hemorrhagic and non-hemorrhagic injuries, provide spatial localization, and assess lesion size effectively, especially in deep brain tissues, due to limitations in depth penetration and sensitivity of existing electrical impedance spectroscopy (EIS) devices.
Innovation Solution
The use of Stochastic Gabor Function (SGF) based dual energy pulses in EIS systems, which apply current with a waveform optimized for deeper tissue penetration, enabling greater sensitivity and specificity in distinguishing hemorrhagic from non-hemorrhagic brain injuries and improving anatomic localization and size assessment of intracranial lesions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional single pulse EIS paradigms are used, then the device portability and noninvasive capability are maintained, but the depth penetration and sensitivity for detecting deep brain tissue impedance are insufficient
Solution Approach 1:
The patent applies parameter changes by transitioning from conventional single frequency or single energy pulse EIS to dual energy SGF pulses. The SGF pulses utilize stochastic modulation with Gaussian envelope functions, varying both frequency and energy parameters to optimize penetration depth while maintaining portability. This resolves the contradiction by enhancing measurement precision through parameter optimization without proportionally increasing device complexity.
Solution Approach 2:
The patent employs periodic action through the use of pulsed stimulation rather than continuous signals. The SGF pulses are applied in sequential pairs with specific timing intervals, allowing the tissue to return to baseline between pulses. This periodic pulsed approach enhances deep tissue penetration capability while keeping the device portable and noninvasive, resolving the technical contradiction between penetration depth and device complexity.
2Measurement precision
If single pulse EIS paradigms are used, then the device remains portable and simple to operate, but the ability to distinguish hemorrhagic from non-hemorrhagic injuries is insufficient
Solution Approach 1:
The patent applies segmentation by dividing the measurement process into distinct phases using sequential pulse pairs. Each pulse in the pair targets different tissue properties, and the differential response between pulses provides enhanced contrast for distinguishing hemorrhagic from non-hemorrhagic injuries. This segmentation approach improves measurement precision while maintaining manageable device complexity through systematic protocol design.
Solution Approach 2:
The patent utilizes parameter changes by varying pulse energy levels within the SGF framework. The dual energy approach applies pulses at different energy levels to the same tissue region, and the differential impedance responses provide enhanced specificity for injury characterization. This resolves the contradiction between injury differentiation accuracy and device complexity through intelligent parameter variation rather than hardware complexity.
3Measurement precision
If conventional EIS methods are used, then the system remains simple and portable, but the sensitivity for detecting subtle histological changes in acute TBI is insufficient
Solution Approach 1:
The patent applies feedback through the analysis of differential responses between sequential SGF pulses. The system measures impedance changes in response to each pulse and compares them to establish a differential signal that enhances sensitivity to subtle tissue changes. This feedback mechanism improves measurement precision for detecting acute TBI histological changes while maintaining portability, as the enhanced sensitivity is achieved through signal processing rather than hardware complexity.
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
The SGF dual energy pulse approach enhances the ability of EIS systems to detect and characterize brain injuries by increasing depth penetration, sensitivity, and specificity, allowing for more accurate and rapid monitoring of intracranial hemorrhage, stroke, and traumatic brain injuries, making them suitable for portable, point-of-care applications in ambulances, battlefields, and intensive care units.
Implementation Method 1
Electrical Impedance Spectroscopy (EIS) devices are portable, noninvasive devices that can provide accurate point-of-care detection
Implementation Method 2
an improved EIS that employs the Stochastic Gabor Function (SGF) as an EIS stimulus current shape
Data Source
AI summary
Systems and methods for determining brain health of a subject include or employ an electrical stimulator configured to apply a current to at least one pair of electrodes, and the electrodes are positioned on a skull of the subject to apply the current and to receive brain activity of the subject. The electrical stimulator is configured to apply a current having a waveform according to a Stochastic Gabor Function (SGF). A signal processor is configured to record the brain activity of the subject in the form of spectral electrical impedance data, and a computer system having non-transient computer readable media is programmed and configured to process the spectral electrical impedance data and indicate an impedance change within the brain of the subject.