Abstract
The low-frequency and low-amplitude characteristics of neural signals poses challenges to neural signals recording. A low noise amplifier (LNA) plays an important role in the recording front-end. A chopper-stabilized analog front-end amplifier (FEA) for neural signal acquisition is presented in this paper. It solves the noise and offset interference caused by the servo loop in the chopper amplifier structure. The proposed FEA employs a switched-capacitor (SC) integrator with offset and low-frequency noise compensation. Moreover, a dc-blocking impedance is placed for ripple-rejection (RR), and a positive feedback loop is employed to increase input impedance. The proposed circuit is design in a 0.18-µm 1.8-V CMOS process. It achieves a bandwidth of up to 9 kHz for local field potential and action potential signals acquisition. The referred-to-input (RTI) noise is 0.72 µVrms in the 1 Hz~200 Hz frequency band and 3.46 µVrms in the 200 Hz~5 kHz frequency band. The noise effect factor is 0.43 (1 Hz~200 Hz) and 2.08 (200 Hz~5 kHz). CMRR higher than 87 dB and PSRR higher than 85 dB are achieved in the entire pass-band. It consumes a power of 3.96 µW/channel and occupies an area of 0.244 mm2/channel.
Highlights
High-density detection of neural signals has been a crucial step in emerging neurotherapy and physiology health recordings
Neural signals, such as local field potential (LFP), action potential (AP), electrocorticogram (ECoG), and electroencephalogram (EEG), have a weak amplitude ranging from tens of μV to a few mV and a frequency range below 5 kHz [1]
There will simultaneously exist a large electrode dc offset of tens of mV during the detection which needs to be suppressed by the recording front end
Summary
Yuekai Liu 1,2,† , Zhijun Zhou 1,2,† , Yixin Zhou 1,2 , Wenyuan Li 1,2, * and Zhigong Wang 1,2, *. Engineering Research Center of RF-ICs & RF-Systems, Ministry of Education, Nanjing 210096, China. Yuekai Liu and Zhijun Zhou contributed to this article. Received: 11 October 2020; Accepted: 27 October 2020; Published: 29 October 2020
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
