Magnetic Field Compensation Using Sensor-Location Feedback
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Solution Overview
Problem
Conventional magnetic field detection systems, particularly MEG systems, struggle to effectively and efficiently mitigate environmental magnetic fields due to the inability to tailor compensation fields at the location of the sensors, leading to degraded measurement quality and user experience.
Innovation Solution
The system utilizes MEG sensor outputs to dynamically control compensation fields by measuring background magnetic fields at the sensor's location, adjusting the compensation magnetic fields in real-time based on sensor position and orientation changes, using a controller to generate spatially and temporally varying magnetic fields to null environmental interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static reference sensors are used to control active shielding, then the shielding can be implemented with a fixed system configuration, but the compensation field is not tailored to the actual sensor location and orientation, reducing effectiveness
Solution Approach 1:
The system uses real-time feedback from MEG sensors to dynamically adjust the compensation field. The MEG sensors continuously measure the background magnetic field at their actual location and orientation, and this measurement feedback is used to control the compensation coils, ensuring the compensation field is always tailored to the current sensor state
Solution Approach 2:
The system transitions from a static reference sensor configuration to a dynamic configuration where MEG sensors continuously provide location and orientation information. This allows the compensation field to dynamically adapt to sensor movement and repositioning, maintaining optimal compensation accuracy throughout the measurement process
2Adaptability or versatility
If MEG sensors are moved or repositioned on the body, then the system provides flexibility and conformability to different subjects, but the compensation field becomes misaligned with the sensor location, degrading measurement quality
Solution Approach 1:
When MEG sensors are moved or repositioned on the body, they continuously provide feedback about their new location and orientation. This feedback is used to recalculate and adjust the compensation field parameters in real-time, ensuring the compensation remains accurate even as the sensor configuration changes to conform to different subjects
Solution Approach 2:
The system enables dynamic reconfiguration of the compensation field to match the dynamic positioning of MEG sensors on the body. As sensors are moved to conform to different head shapes or positions, the compensation field automatically adapts through continuous calculation based on the new sensor locations, maintaining measurement quality throughout the process
3Device complexity
If conventional active shielding with static reference sensors is used, then the system structure is simpler, but it cannot effectively mitigate time-varying magnetic fields at the sensor location
Solution Approach 1:
The system uses real-time feedback from MEG sensors measuring the actual magnetic field environment at the sensor location to dynamically control the compensation coils. This feedback mechanism enables the system to effectively counteract time-varying magnetic fields and environmental interference that static reference sensors cannot detect or compensate for
Solution Approach 2:
The MEG sensors serve dual purposes: they both measure the target neural magnetic fields and provide information about the background magnetic field environment. This self-service approach eliminates the need for separate reference sensors while enabling effective real-time compensation of environmental magnetic interference at the actual sensor locations
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
This approach enhances the effectiveness of compensation fields, improving measurement accuracy and user experience by effectively nulling background magnetic fields at the sensor's location, even as the sensor moves or environmental conditions change.
Implementation Method 1
a coil to generate a spatially and temporally varying magnetic field
Implementation Method 2
a magnetic field sensor to measure the magnetic field and a background magnetic field
Implementation Method 3
The controller determines the position and orientation of the magnetic field sensor based on the magnetic field measurement
Implementation Method 4
The coil receives the control signaling and modifies the spatially and temporally varying magnetic field based on the control signaling to null the background magnetic field
Data Source
AI summary
Various embodiments disclosed herein comprise a system. The system comprises a coil, a magnetic field sensor, and a controller. The coil generates a spatially and temporally varying magnetic field. The magnetic field sensor measures the magnetic field and a background magnetic field. The magnetic field sensor provides a magnetic field measurement and a background magnetic field measurement to the controller. The controller determines the position and orientation of the magnetic field sensor based on the magnetic field measurement and the background magnetic field measurement. The controller transfers control signaling to modify the magnetic field based on the position and orientation of the magnetic field sensor to null the background magnetic field. The coil receives the control signaling and modifies the spatially and temporally varying magnetic field based on the control signaling to null the background magnetic field.