학술논문

A Modeling Method for Synthetic SQUID Gradiometer With Optimized Baseline in Magnetocardiography Measurement
Document Type
Periodical
Source
IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 24(10):15986-15993 May, 2024
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Robotics and Control Systems
Magnetometers
Noise
Magnetic flux
Coils
Finite element analysis
Magnetic sensors
Magnetic noise
Baseline optimization
finite element analysis (FEA) model
magnetocardiography (MCG)
superconducting quantum interference device (SQUID)
synthetic gradiometer
Language
ISSN
1530-437X
1558-1748
2379-9153
Abstract
Synthetic gradiometers constructed by superconducting quantum interference device (SQUID) magnetometers are effective ways to suppress the magnetic disturbance while keeping the useful signals unaffected. In this article, in order to obtain the optimal baseline for a first-order synthetic gradiometer (FOSG) inside a thin magnetically shielded room (MSR), a modeling method based on the magnetic flux distributions in the sensing and reference magnetometers is proposed. Then the model is built in the Ansys platform, and the baseline can be determined as 6 cm under a certain signal source depth of 4 cm after conducting the finite element calculation. Two kinds of magnetometers with different pickup coils contribute to the realization of the testing system. The testing results are in good agreement with the simulation ones. And depending on this optimized configuration of the FOSG, the residual field of a real thin MSR can be restrained from 2.0 nT to 4.0 pT. Moreover, a clear magnetocardiography (MCG) signal with an amplitude of 48 pT and stable zero-line can be observed when applying a subject for the test, which further verifies the effectiveness of this modeling method.