Optimizing biomagnetic sensor performance through in silico diagnostics: A novel approach with BEST (Biomagnetism Evaluation via Simulated Testing)
Chenxi Sun,
Yike Liang,
Xiao Yang,
Biying Zhao,
Pengju Zhang,
Sirui Liu,
Dongyi Yang,
Teng Wu,
Jianwei Zhang,
Hong Guo
Affiliations
Chenxi Sun
State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, and Center for Quantum Information Technology, Peking University, Beijing 100871, China
Yike Liang
School of Life Sciences, Peking University, Beijing 100871, China
Xiao Yang
State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, and Center for Quantum Information Technology, Peking University, Beijing 100871, China
Biying Zhao
State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, and Center for Quantum Information Technology, Peking University, Beijing 100871, China
Pengju Zhang
Faculty of Engineering, University of Bristol, Bristol BS8 1TR, UK
Sirui Liu
School of Physics, Peking University, Beijing 100871, China
Dongyi Yang
School of Physics, Peking University, Beijing 100871, China
Teng Wu
State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, and Center for Quantum Information Technology, Peking University, Beijing 100871, China; Corresponding author
Jianwei Zhang
School of Physics, Peking University, Beijing 100871, China
Hong Guo
State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, and Center for Quantum Information Technology, Peking University, Beijing 100871, China; Corresponding author
Summary: Advancing biomagnetic measurement capabilities requires a nuanced understanding of sensor performance beyond traditional metrics. This study introduces Biomagnetism Evaluation via Simulated Testing (BEST), a novel methodology combining a current dipole model simulating cardiac biomagnetic fields with a convolutional neural network. Our investigation reveals that optimal sensor array performance is achieved when sensors are in close proximity to the magnetic source, with a shorter effective domain. Contrary to common assumptions, the bottom edge length of the sensor has a negligible impact on array performance. BEST provides a versatile framework for exploring the influence of diverse technical indicators on biomagnetic sensor performance, offering valuable insights for sensor development and selection.
