Signal Processing Apparatus for Biomagnetic Field Interference Removal
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Solution Overview
Problem
Current biomagnetic field measurement methods require multiple measurements to isolate the signal of interest from interference, leading to prolonged inspection times and potential failure to distinguish between magnetic field components, resulting in incomplete data.
Innovation Solution
A signal processing apparatus that estimates and extracts the signal source of both the signal of interest and interference, allowing for the removal of interference data from measurement data in a single measurement, using a processor and memory to process magnetic field data and extract the signal of interest by predicting and subtracting interference signal data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple measurements are performed to isolate the signal of interest from interference, then the signal quality is improved, but the measurement time is prolonged
Solution Approach 1:
The system performs preliminary estimation of interference signal sources and generates predictive models of interference patterns before the actual measurement is completed. By pre-characterizing the interference sources and their spatial-temporal patterns, the system can subsequently remove interference from a single measurement without requiring multiple repeated measurements, thus resolving the contradiction between signal quality and measurement time
Solution Approach 2:
The system creates a computational model (copy) of the interference signal based on preliminary measurements and signal source estimation. This interference model is then subtracted from the actual measurement data to isolate the signal of interest. This approach replaces the need for multiple physical measurements with a single measurement plus computational interference removal, thereby reducing measurement time while maintaining signal quality
2Measurement precision
If multiple measurements are performed to separate magnetic field components, then the signal isolation is improved, but the subject burden increases
Solution Approach 1:
The system performs preliminary estimation of signal sources and characterization of interference patterns before the subject needs to maintain a consistent posture for multiple measurements. By pre-establishing the interference model from initial signal source estimation, the system can process a single subsequent measurement without requiring the subject to repeatedly maintain fixed positions, thereby reducing subject burden while maintaining signal isolation quality
3Measurement precision
If traditional measurement methods are used to remove interference, then the interference removal is achieved, but the measurement complexity increases
Solution Approach 1:
The system extracts and isolates the interference signal component from the composite measurement data by identifying and separating it based on the estimated signal sources. By explicitly extracting the interference component rather than attempting to filter it through complex multi-measurement protocols, the system achieves effective interference removal with a simpler single-measurement approach, thereby reducing measurement complexity while maintaining interference removal effectiveness
Data Source
AI summary
A signal processing apparatus includes a memory, and a processor coupled to the memory and configured to perform a process including obtaining measurement data including a signal of interest and an interference signal generated in proximity to a signal source of the signal of interest, estimating a signal source in an extraction target area including the signal source of the signal of interest and a signal source of the interference signal based on the measurement data, selecting the signal source of the interference signal based on a result of the estimating a signal source and extracting interference signal data generated from the selected signal source of the interference signal, and extracting the signal of interest by removing a common part between the measurement data and the interference signal data.