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

Active magnetic shielding systems are crucial for precise magnetic field measurements, such as those required in magnetoencephalography (MEG). This study introduces a novel real-time, motion-adaptive active magnetic shielding system that utilizes a pre-computed model to dynamically update control logic based on sensor positions, ensuring a rapid response with an update interval as short as 8 ms. The system's active compensation maintained stable readings for moving sensors and effectively suppressed low-frequency noise during rotations exceeding 180°. In addition, a dry phantom experiment demonstrated the system's capability to detect weak 31 Hz magnetic signals, achieving a noise reduction of 50 dB and meeting the sensitivity requirements for MEG applications. These findings underscore the system's potential for real-time magnetic field measurements, expanding the possibilities for MEG in dynamic scenarios.