Reconstruction of the Bioelectric Distribution From Human Body Biomagnetic Field Measurements

To address the detection of current density distribution and magnetic source localization in biological electrophysiological activities, this study proposes an algorithm that establishes forward and inverse relationships between biological current density and gradients on parallel detection planes. A mathematical model is developed to link the measured gradients with magnetic field distributions. The multiscale algorithm with the Fourier frequency-domain transformation enables dynamic reconstruction of the current density distribution. An error evaluation system based on the Pearson correlation coefficient optimizes magnetic source localization parameters and accurately predicts the optimal observation distance within a typical detection range of 0.1–0.5 m. The validation using representative cardiac gradient data demonstrates that the reconstructed gradient fields align closely with the measured data in spatial structure, extreme value locations, and amplitude distribution, confirming the method’s effectiveness. While the heart is used as a case study, the method is highly generalizable and applicable to a wide range of biological magnetic source research.