Magnetic Sensor Array Signal Space Separation for Biomagnetic Measurement
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Solution Overview
Problem
Current magnetic field measurement devices face challenges in accurately separating internal and external magnetic field components, leading to interference from external and intermediate space magnetic fields, which affects the accuracy of measurements, particularly in applications like magnetocardiography.
Innovation Solution
A magnetic field measurement device equipped with a magnetic sensor array and signal processing sections that perform signal space separation using singular value decomposition and principal component analysis to extract common variation components from measurement data, effectively removing interference by correlating time domain bases and calculating expansion coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If signal space separation is performed using conventional methods, then separation of internal and external magnetic field components is attempted, but interference from external and intermediate space magnetic fields remains, affecting measurement accuracy
Solution Approach 1:
The patent segments the magnetic field measurement data into distinct spatial components (internal space, intermediate space, and external space) through iterative signal space separation. By dividing the measurement space into multiple regions and applying separate processing to each, the method achieves more effective isolation of the target magnetic field from interfering sources.
Solution Approach 2:
The patent introduces an intermediate space as a mediator between the internal and external spaces. This intermediate region serves as a buffer zone that helps distinguish between truly internal signals and external interference, allowing for more accurate separation by analyzing the spatial distribution characteristics across all three regions.
2Loss of information
If magnetic sensor array measures spatial distribution of magnetic field, then measurement data is obtained, but common variation components from external sources contaminate the internal space data
Solution Approach 1:
The patent employs periodic iterative processing where the signal space separation and common variation removal steps are repeated multiple times. Each iteration refines the separation by progressively eliminating residual contamination, converging toward a cleaner internal space signal while managing the complexity through systematic repetition.
Solution Approach 2:
The patent replaces traditional mechanical or simple electronic filtering methods with advanced mathematical processing techniques, including singular value decomposition, principal component analysis, and iterative optimization algorithms. This substitution enables more sophisticated separation of mixed signals while removing the need for physical isolation structures.
3Measurement precision
If conventional signal separation methods are used, then processing speed is maintained, but separation accuracy is insufficient due to remaining interference components
Solution Approach 1:
The patent performs preliminary signal space separation to identify and remove obvious external interference components before applying more refined separation techniques. By addressing the most prominent contamination sources first, the subsequent processing steps can focus on finer distinctions, improving overall accuracy without requiring excessive computational time.
Solution Approach 2:
The patent dynamically adjusts processing parameters such as the number of iterations, threshold values for component identification, and decomposition depths based on the characteristics of the input data. This adaptive parameter adjustment optimizes the balance between separation accuracy and processing time for different measurement scenarios.
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 device enhances the accuracy of magnetic field measurements by isolating internal space data from external and intermediate space interference, improving signal-to-noise ratios and reducing sensor noise, thereby providing clearer insights into cardiac and other biomagnetic fields.
Implementation Method 1
The magnetic sensor may include a magnetic resistance element
Data Source
AI summary
There is provide a magnetic field measurement device including: a magnetic sensor array configured by a plurality of magnetic sensor cells, each of which has a magnetic sensor; a magnetic field acquisition section configured to acquire measurement data measured by the magnetic sensor array; a signal space separation section configured to perform signal separation to separate, into internal space data and external space data, a spatial distribution of a magnetic field which is indicated by the measurement data, based on a position and a magnetic sensitivity of each magnetic sensor; and a calculation processing section configured to remove, from the internal space data, at least a part of a variation component common to magnetic field measurement data that indicates the spatial distribution of the magnetic field which is indicated by the measurement data, and the external space data.