An analog integrated front-end amplifier for neural applications

Abstract

-Within neural monitoring systems, the frontend amplifier forms the critical element for signal detection and pre-processing, which determines not only the fidelity of the biosignal, but also impacts power consumption and detector size. In this paper, a novel combined feedback loopcontrolled approach is proposed to compensate for input leakage currents generated by low noise amplifiers when in integrated circuit form, alongside signal leakage into the input bias network. This loop topology ensures the front-end amplifier maintains a high input impedance across all manufacturing and operational variations. This front-end amplifier consumes 30 µW in 0.053 mm 2 , achieves input impedance of 42 GΩ, and 58.7 /√ input-referred noise.