AI and Quantum Sensors: Realization of a Safe and Effective Unshielded Bedside Magnetocardiogram to Detect Ischemia in the Emergency Room

Magnetocardiography (MCG) has potential to significantly improve cardiac disease diagnosis, but adoption in clinical practice is hindered by high cost and large footprints of traditional systems. Hence, we developed a bedside, non-contact MCG system that utilizes quantum magnetometers and AI methods to extract validated cardiac biomarkers, while rejecting ambient magnetic interference.

Goal: To investigate the safety and efficacy of the bedside MCG device in identifying non-ST-segment elevation myocardial infarction (N-STEMI) among patients from an urban emergency department.