Abstract
Accurately estimating and suppressing magnetic noise within magnetocardiography (MCG) devices is of great significance for improving the accuracy of MCG measurements. However, the calculation of magnetic noise inside a single-ended open magnetic shielding cylinder (MSC) lacks an accurate magnetic noise model. This article analyzes and reconstructs the magnetic noise model (R-MN model) based on the variable-parameter magnetic loss separation model to address this issue. By incorporating appropriate penalty terms into the objective function, the variable-parameter magnetic loss separation model achieves high-precision loss separation using the artificial hummingbird algorithm (AHA). Compared with the conventional magnetic noise calculation method, the proposed R-MN model can reduce the root-mean-square error (RMSE) of noise prediction by 96.8%. The permalloy-nanocrystalline MSC composite structure designed based on the R-MN-model reduces the intrinsic average magnetic noise of the conventional MSC within the frequency range of 1–40 Hz from 11.77 to 4.41 fT/Hz 1/2. This study provides theoretical foundations and technical support for designing low-noise, large-scale, and asymmetrically structured magnetic shielding devices.
| Original language | English |
|---|---|
| Article number | 4000610 |
| Journal | IEEE Transactions on Instrumentation and Measurement |
| Volume | 75 |
| DOIs | |
| State | Published - 2026 |
Keywords
- Composite structure
- magnetic loss separation
- magnetic noise
- magnetocardiography (MCG)
- single-ended open magnetic shielding cylinder (MSC)
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