PREPROCESSING IN MAGNETIC FIELD IMAGING DATA

Dania Di Pietro Paolo, Tobias Toennis, Sergio Nicola Erne

Abstract

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.

References

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Paper Citation


in Harvard Style

Di Pietro Paolo D., Toennis T. and Nicola Erne S. (2011). PREPROCESSING IN MAGNETIC FIELD IMAGING DATA . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 463-466. DOI: 10.5220/0003160504630466


in Bibtex Style

@conference{biosignals11,
author={Dania Di Pietro Paolo and Tobias Toennis and Sergio Nicola Erne},
title={PREPROCESSING IN MAGNETIC FIELD IMAGING DATA},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={463-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003160504630466},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - PREPROCESSING IN MAGNETIC FIELD IMAGING DATA
SN - 978-989-8425-35-5
AU - Di Pietro Paolo D.
AU - Toennis T.
AU - Nicola Erne S.
PY - 2011
SP - 463
EP - 466
DO - 10.5220/0003160504630466