Dipole location using SQUID based measurements: Application to magnetocardiography

We report a method of inferring the dipole location using iterative nonlinear least square optimization based on Levenberg-Marquardt algorithm, wherein, we use different sets of pseudo-random numbers as initial parameter values. The method has been applied to (i) the simulated data representing the...

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Bibliographic Details
Published in:Physica. C, Superconductivity Superconductivity, 2012-07, Vol.477, p.15-19
Main Authors: MARIYAPPA, N, PARASAKTHI, C, SENGOTTUVEL, S, GIREESAN, K, PATEL, Rajesh, JANAWADKAR, M. P, SUNDAR, C. S, RADHAKRISHNAN, T. S
Format: Article
Language:English
Subjects:
Biological and medical sciences
Dipoles
Diseases of the cardiovascular system
Least squares method
Magnetic fields
Mathematical analysis
Medical sciences
Position (location)
Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects)
SQUIDs
Superconducting quantum interference devices
Superconductivity
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Summary:We report a method of inferring the dipole location using iterative nonlinear least square optimization based on Levenberg-Marquardt algorithm, wherein, we use different sets of pseudo-random numbers as initial parameter values. The method has been applied to (i) the simulated data representing the calculated magnetic field distribution produced by a point dipole placed at a known position, (ii) the experimental data from SQUID based measurements of the magnetic field distribution produced by a source coil carrying current, and (iii) the actual experimentally measured magnetocardiograms of human subjects using a SQUID based system.
ISSN:0921-4534
1873-2143
DOI:10.1016/j.physc.2012.02.044