Real-Time Motion-Adaptive Active Magnetic Shielding for MEG with Enhanced Response Speed

Area of Science:

• Biophysics
• Biomedical Engineering
• Instrumentation

Background:

• Precise magnetic field measurements are essential for applications like magnetoencephalography (MEG).
• Existing active magnetic shielding systems face challenges in dynamic environments with moving sensors.
• Low-frequency noise can significantly impact the sensitivity of magnetic field measurements.

Purpose of the Study:

• To introduce a novel real-time, motion-adaptive active magnetic shielding system.
• To ensure rapid response and stable magnetic field readings for moving sensors.
• To evaluate the system's noise suppression capabilities and sensitivity for MEG applications.

Main Methods:

• Development of a real-time active magnetic shielding system with motion-adaptive control logic.
• Utilization of a pre-computed model for dynamic updates based on sensor positions (8 ms interval).
• Performance evaluation using sensor movement (rotations >180°) and a dry phantom experiment (31 Hz signal detection).

Main Results:

• The system demonstrated rapid response and maintained stable readings for moving sensors.
• Effective suppression of low-frequency noise during extensive rotations (>180°).
• Achieved 50 dB noise reduction in detecting weak 31 Hz magnetic signals, meeting MEG sensitivity requirements.

Conclusions:

• The novel system provides effective real-time magnetic shielding adaptable to dynamic scenarios.
• It significantly enhances the stability and reduces noise in magnetic field measurements.
• The system holds potential for advancing magnetoencephalography (MEG) applications, particularly in dynamic measurement conditions.