Human Cardiac Measurements with Diamond Magnetometers

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Authors: Muhib Omar, Magnus Benke, Shaowen Zhang, Jixing Zhang, Michael Kuebler, Pouya Sharbati, Ara Rahimpour, Arno Gueck, Maryna Kapitonova, Devyani Balasaheb Kadam, Carlos Rene Izquierdo Geiser, Jens D. Haller
+18 more A. Trautmann, Katharina Jag-Lauber, R. Rölver, Thanh-Duc Nguyen, Leonardo Gizzi, Michelle Schweizer, Mena Abdelsayed, Ingo Wickenbrock, Andrew Mark Edmonds, Matthew Markham, Peter A. Koss, Oliver Schnell, Ulrich Hofmann, Tonio Ball A, Juergen Beck, Dmitry Budker, Jörg Wrachtrup, Arne Wickenbrock
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Abstract

We demonstrate direct, non-invasive and non-contact detection of human cardiac magnetic signals using quantum sensors based on nitrogen-vacancy (NV) centers in diamond. Three configurations were employed recording magnetocardiography (MCG) signals in various shielded and unshielded environments. The signals were averaged over a few hundreds up to several thousands of heart beats to detect the MCG traces. The compact room-temperature NV sensors exhibit sensitivities of 6-26 pT/Hz^(1/2) with active sensing volumes below 0.5 mm^3, defining the performance level of the demonstrated MCG measurements. While the present signals are obtained by averaging, this performance already indicates a clear path toward single-shot MCG sensing. To move beyond shielded environments toward practical clinical use, strong noise suppression is required. To this end, we implement NV-based gradiometry and achieve efficient common-mode noise rejection, enabled by the intrinsically small sensing volume of NV sensors. Together, these multi-platform results obtained across diverse magnetic environments provide a solid foundation for translating quantum sensors into human medical diagnostics such as MCG and magnetoencephalography (MEG).

Fields of Study & Subjects

Diamond and Carbon-based Materials Research Atomic and Subatomic Physics Research Magnetic Field Sensors Techniques

Publication details

Journal / source
arXiv (Cornell University)
Publication date
26 January 2026
Document type
Preprint