题目/Title：A Low-Noise Chopper Amplifier Designed for Multi-Channel Neural Signal Acquisition

作者/Author：
                        Deng Luo,Milin Zhang,Zhihua Wang

期刊/Journal：IEEE Journal of Solid-State Circuits

年份/Issue Date：2019Aug.

卷（期）及页码/Volume（No.）&pages：Vol.54, No.8, pp. 2255 - 2265

摘要/Abstract：
This paper proposed the design of a low-noise, low total harmonic distortion (THD) chopper amplifier for neural signal acquisition. A dc servo loop (DSL) based on active Gm-C integrator is proposed to reject the electrode-dc-offset (EDO). Architecture of a complementary input very low-transconductance (VLT) operational transconductance amplifier (OTA) was proposed and integrated in the active Gm-C integrator to improve the linearity as well as to reduce the noise, featuring a transconductance ranging from 45 pS to a few nS. The proposed amplifier was fabricated in a TSMC 0.18-渭m CMOS process, occupying an area of 0.2 mm2, featuring a power consumption of 3.24 渭W/channel under a 1.8-V supply voltage. The THD for a 5-mVpp input is lower than -61 dB. An input-referred thermal noise power spectral density (PSD) of 39 nV/鈭欻z is measured. The measured input-referred noise is 0.65 渭Vrms in the 0.3-200-Hz frequency band and 2.14 渭Vrms in the 200-Hz- 5-kHz frequency band, respectively, leading to a noise-efficiency factor of 2.37 (0.3-200 Hz) and 1.56 (0.2 k-5 kHz). In addition, the high-pass corner frequency can be precisely configured and linearly adjusted with the external bias current from 0.35 to 54.5 Hz.