Design of a Low-Noise Low-Power Fourth Order Complementary Super Source Follower Filter for EEG Applications

Abstract

Design of a filter for biomedical application is a challenging task owing to its low-power and low-noise values introduced at low frequencies. This paper describes the design of a Complementary Super Source Follower (CSSF-C) Low Pass Filter (LPF) circuit and the same has been compared with Complementary Source Follower (CSF-C) LPF targeted for the detection of EEG signals. Simulated results obtained in Cadence Analog Design Environment using CMOS 0.18 µm technology node shows the CSSF-C LPF circuit emulates gain of -528 mdB, bandwidth of 100 Hz, power consumption of 12.6 nW from 0.5 V supply voltage. Further, the proposed LPF circuit is capable of achieving Dynamic Range (DR) of 63 dB with an Input Referred Noise (IRN) of 36 µVrms. The proposed CSSF-C LPF is expected to improve the quality of acquired EEG signals.