Subsystem simplification of SQUID magnetometer based magnetoencephalogram using application specific integrated circuits

Superconducting Quantum Interference Devices (SQUID) are capable of detecting extremely small magnetic fields, even those as small as the ones produced by the ionic channel flows in the neurons of the human brain. Magnetoencephalograms (MEGs) are far more accurate than the Electroencephalograms (EEGs) and are in most cases, more functional than functional Magnetic Resonance Images (fMRIs). This method is however not used much because of the complexities involved in the associated electronics that help in signal conditioning of the SQUID Magnetometer. In this paper, we propose Application Specific Integrated Circuits (ASIC) to simplify MEGs and make the subsystems more compact.