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Preprocessing in Magnetic Field Imaging Data

Magnetic Field Imaging (MFI) is a new method of diagnosis of increasing importance in cardiology. MFI records the magnetic fields (MF) of the electrical activity of the heart using many extremely sensitive sensors and displays them afterwards in a clinically applicable manner. Due to the relatively low signal to noise ratio (SNR) of the magnetic data, the recorded data are often averaged before analysis. We describe a standardized preprocessing method to be used before averaging MFI data with low SNR. The reported examples are data from 20 subjects out of a normal cohort examined at the Asklepios Klinik St. Georg.