A real-time signal space separation method fora 32-channel planar sensor array

Magnetocardiography (MCG) is a medical measurement technique for diagnosing heart diseases. The MCG signal is extremely weak, so magnetic field compensation techniques and signal processing methods are typically used to enhance its signal-to-noise ratio (SNR). In this work, the singularity of the signal space separation (SSS) method on low-channel planar sensors is addressed with the help of the regularization method based on optimal signal-to-noise ratio estimation, and a real-time SSS method for 32-channel planar sensor arrays is presented for the first time. Experiments with a single magnetic dipole coil validate the approach, demonstrating an average SNR improvement of 32.28 dB for 32 sensor channels. Inhuman MCG signal measurement applications, this method can effectively suppress the same-frequency band noise of MCG signals and significantly improve the quality of signals. This provides a new technical idea for the environmental noise suppression and real-time magnetic field compensation method for compact MCG systems.