Brain Activity Analysis System Noise-Resistant Source Estimation

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Solution Overview

Problem

Existing brain activity analysis methods using electroencephalographs or magnetoencephalographs face decreased spatial resolution due to noisy environments, affecting the accuracy of signal source estimation.

Innovation Solution

A brain activity analysis system that combines intracerebral signal measurement with biological reaction signal measurement from non-brain body sites, using both spatial filter and equivalent current dipole methods to estimate and calculate the source position of intracerebral signals, enhancing estimation accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If spatial filter method or equivalent current dipole method is used to estimate signal source, then brain activity can be visualized, but spatial resolution decreases in noisy environments

Engineering Contradiction:
Improvespatial resolution of signal source estimationVSAvoidnoise interference
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent combines multiple measurement approaches (spatial filter method and equivalent current dipole method) to estimate signal sources. By merging the results from different measurement units and methods, the system achieves more accurate spatial resolution that is resistant to noise interference, resolving the contradiction between measurement precision and noise susceptibility.

Inventive Principle:
Principle #5Merging (Combining)

2Ease of manufacture

If only maximum value and maximal value are spatially extracted and averaged, then processing is simplified, but estimation accuracy is reduced

Engineering Contradiction:
Improvesimplicity of processingVSAvoidsignal source estimation accuracy
Core Design Contradiction:
Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent segments the signal source estimation process into multiple independent measurement units, each using different methods (spatial filter and equivalent current dipole). Instead of simplifying to only maximum value extraction, the system divides the estimation into multiple segments that can be independently processed and then integrated, maintaining high accuracy while keeping individual processing steps manageable.

Inventive Principle:
Principle #1Segmentation

3Measurement precision

If multiple measurement and analysis units are integrated, then estimation accuracy improves, but device complexity increases

Engineering Contradiction:
Improvesignal source estimation accuracyVSAvoidsystem structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent designs measurement units that can perform multiple functions - each unit can operate with different measurement methods (spatial filter and equivalent current dipole approaches). This multi-functionality allows the system to achieve high estimation accuracy through multiple approaches while reducing overall complexity by using standardized, versatile measurement units rather than specialized components for each method.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20240382134A1Brain activity analysis system, brain activity analysis method, and computer-readable storage medium
Publication Date: 2024.11.21 JVC KENWOOD CORP
  • US20240382134A1 patent drawing
  • US20240382134A1 patent drawing
  • US20240382134A1 patent drawing

AI summary

A brain activity analysis system includes: a first measurement unit configured to measure an intracerebral signal based on a state of a brain; a second measurement unit configured to measure a biological reaction signal generated in a body site other than the brain in association with brain activity; a first analysis unit configured to estimate a first range indicating a range of a source of the intracerebral signal based on measurement data by the first measurement unit; a second analysis unit configured to estimate a second range indicating the range of the source of the intracerebral signal based on the measurement data by the second measurement unit; and a processing unit configured to calculate an estimated position of the source of the intracerebral signal based on the first range and the second range, and output information regarding the calculated estimated position.