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An instrumentation system based on magnetoresistive sensors for neuronal signal detection

This paper presents an instrumentation system based on magnetoresistive sensors for neuronal signal detection. The system includes a hardware section, which provides ultra-low noise magnetoresistive sensor biasing, signal amplification and filtering, and a software interface that allows signal visualizations and digital post processing. The results show that, compared to the current measurement setup, the proposed instrumentation system increases the measurement bandwidth from 70 Hz to 2.75 kHz, and reduces the integrated noise in the signal bandwidth from 1 μVRMS to 814 nVRMS.