Frequency-Encoded Source Imaging for Multi-Band 3D EEG Localization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional electric and 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 system and method for electric/magnetic source imaging that analyzes signals in multiple frequency bands from 0.0000001 Hz to 20,000 Hz, using a sensor array and 3D localization, enabling high-resolution EEG/MEG analysis with color-coded 3D visualization 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 broad frequency spectrum into multiple distinct frequency bands (e.g., delta, theta, alpha, beta, gamma bands). Each frequency band is analyzed separately through independent signal processing pipelines, allowing the system to handle wide frequency ranges while maintaining manageable complexity through modular analysis approaches.
Solution Approach 2:
The patent creates a universal source imaging system that can analyze multiple frequency bands simultaneously using the same sensor array and processing framework. The system performs multi-frequency source localization and visualization across different frequency ranges, enabling one system to serve multiple diagnostic purposes that would otherwise require separate analysis procedures.
2Measurement precision
If multiple frequency bands are analyzed simultaneously, then the detection and diagnostic capability is enhanced, but the signal processing and analysis complexity increases
Solution Approach 1:
The patent divides the complex multi-frequency analysis into separate processing pipelines for each frequency band. Each pipeline performs source localization independently for its designated frequency range, then results are integrated to provide comprehensive multi-frequency source imaging with high precision while keeping individual processing tasks manageable.
Solution Approach 2:
The patent adds a frequency dimension to the traditional source imaging approach. Instead of analyzing only spatial distribution of sources, the system incorporates frequency band information as an additional dimension, creating multi-frequency source maps that provide both spatial localization and frequency characterization of neural sources.
3Reliability
If high frequency signals (above 70 Hz) are included in analysis, then new biomarkers for clinical diagnosis can be discovered, but the conventional digitalization and analysis methods become inadequate
Solution Approach 1:
The patent changes the sampling rate parameter to accommodate high frequency signals. By increasing the sampling rate beyond conventional limits, the system can capture and analyze high frequency neural activity (gamma band and above) that contains potential biomarkers for epilepsy and other neurological conditions, while maintaining reliable clinical diagnosis capability.
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.