Frequency-Encoded Source Imaging for Multi-Band EEG/MEG Localization
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Solution Overview
Problem
Conventional electric/magnetic source imaging methods are limited to a single frequency range, typically 1-70 Hz, which restricts the detection and analysis of brain and heart signals, hindering accurate diagnosis and treatment of conditions like epilepsy.
Innovation Solution
A method and system for electric/magnetic source imaging that analyzes signals in multiple frequency bands from 0.0000001 Hz to 20,000 Hz, utilizing a sensor array and 3D localization to visualize and quantify electrical and magnetic fluctuations, enabling high-resolution EEG/MEG imaging with color-coded 3D patterns to identify lesions and dysfunctions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional single frequency source scanning is used, then the analysis is simplified and focused on one frequency range, but the detection capability is limited to a narrow frequency range (1-70 Hz)
Solution Approach 1:
The patent segments the frequency spectrum into multiple bands (e.g., delta, theta, alpha, beta, gamma bands) and performs independent source imaging analysis for each band. This allows the system to detect signals across a wide frequency range (0.5 Hz to 20,000 Hz) while maintaining manageable analysis complexity by processing each band separately rather than attempting to analyze the entire spectrum simultaneously.
Solution Approach 2:
The patent adds the frequency dimension to the traditional source imaging approach. Instead of performing single-frequency source imaging, the system performs multi-frequency source imaging by analyzing signals across multiple frequency bands, creating a four-dimensional analysis (x, y, z spatial coordinates plus frequency dimension) that significantly enhances detection capability.
2Measurement precision
If multi-frequency band analysis is performed, then the detection and diagnosis capability is enhanced across wide frequency ranges, but the signal analysis complexity increases
Solution Approach 1:
The patent divides the complex multi-frequency analysis into separate source imaging calculations for each frequency band. By performing independent source imaging for delta, theta, alpha, beta, and gamma bands separately, the system achieves precise source localization in each band while avoiding the computational complexity of attempting to analyze all frequencies simultaneously in a single operation.
Solution Approach 2:
The patent applies frequency-specific analysis to different spatial locations in the brain. Each frequency band is associated with specific brain regions and functional activities, allowing the system to provide localized, frequency-specific diagnostic information that enhances measurement precision for different neural processes.
3Reliability
If conventional EEG/MEG analysis is limited to 1-70 Hz, then the processing is simpler and faster, but clinical outcomes are hindered due to inability to detect high frequency epileptic activities
Solution Approach 1:
The patent segments the frequency analysis into conventional bands (1-70 Hz) and high-frequency bands (70-20,000 Hz), allowing simultaneous processing of both ranges. This segmentation enables the system to maintain processing efficiency for conventional signals while adding high-frequency detection capability, thereby improving diagnosis accuracy for epilepsy without completely sacrificing processing speed.
Solution Approach 2:
The patent performs source imaging analysis for all frequency bands (excessive action) rather than limiting to only the conventional 1-70 Hz range. This partial or excessive analysis of high-frequency signals provides additional diagnostic information that improves reliability of epilepsy diagnosis and treatment planning, with the computational burden managed through efficient algorithms.
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
Enhances clinical diagnosis and treatment outcomes by providing high-resolution imaging that detects epileptic activities across a wide frequency range, improving post-operative seizure freedom through precise localization and visualization of brain and heart signals.
Implementation Method 1
Magnetoencephalography (MEG) is an imaging technique for mapping brain (or other body parts) activity by recording magnetic fields produced by electrical currents occurring in the brain
Implementation Method 2
Electroencephalography (EEG) is an electrophysical monitoring method to record electrical activity of the brain (or other body parts). Electrodes are paces along the body part and EEG measures voltage fluctuations
Data Source
AI summary
A frequency encoded source imaging system includes an EEG or MEG sensor array and a processing system for analyzing the signals from the sensor array in at least two different frequency bands, where the analysis is localized with respect to a three-dimensional grid corresponding to the portion of the human body. Alternately, a frequency encoded source imaging system includes an EEG or MEG sensor array and a processing system for analyzing the signals from the sensor array in a high-definition frequency band comprising frequencies greater than 70 Hz, where the analysis is localized with respect to a three-dimensional grid corresponding to the portion of the human body.