Patient privacy-enabled health data recordings with optically pumped magnetoencephalography data catalogue and tooling

Patient data privacy of optically pumped magnetoencephalography for functional brain imaging is a growing concern in scientific communities and healthcare practitioners. While prior research has identified the existence of dataset dispersion and widespread metadata omissions across public repositories, the academia and industry also face critical challenges on the strict privacy regulations governing human health data. Unlike previous census efforts that merely documented these standardization gaps, this work presents a functional solution by introducing a comprehensively harmonized data catalogue and technical corpus. To ensure strict compliance with modern data protection regulations, our architecture fundamentally separates technical validation data from sensitive human recordings. We provide a unified technical corpus containing exclusively empty room recordings and inactive source runs, which are fully standardized using consistent channel naming and uniform quality control measures. Furthermore, we provide a custom data loading tool that seamlessly applies these harmonized naming conventions and metadata parameters to the local dataset copies. By bridging existing metadata gaps and enforcing patient privacy by design, our work provides a compliant and practical framework to support robust technical comparisons across diverse optically pumped magnetoencephalography architectures.