Shuoshuo Zhu, Bin Wang, Xiaokun Lin, Lu Liu, Xiao Qu, Weitao Yang
{"title":"A low noise instrument amplifier in 40 nm CMOS with positive feedback loop and DC servo loop for neural signal acquisition","authors":"Shuoshuo Zhu, Bin Wang, Xiaokun Lin, Lu Liu, Xiao Qu, Weitao Yang","doi":"10.1016/j.vlsi.2024.102304","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a low-noise instrument amplifier (LNA) for neural signal acquisition. The proposed LNA consists of two operational transconductance amplifiers (OTA), feedback loops, a positive feedback loop (PFL), a DC servo loop (DSL) and the internal chopper switch located between the capacitive feedback loop and op-amp. The LNA employs the capacitively coupled amplifier with the internal chopper to obtain the rail to rail electrode dc offset (EDO) rejection ability and eliminate the flicker noise of OTA. The PFL is designed to improve the input impedance of the circuit, and the DSL is introduced to suppress the residual offset introduced by the chopper switch. Realized in a 40 nm CMOS technology with 0.69 × 0.1 mm<sup>2</sup>, the LNA draws 7.4 μA from a supply voltage of 2.5Vand exhibits 1.69 μVrms input-referred noise (IRN) over 1–200 Hz for low frequency and low amplitude neural signals. Besides, the simulation results show that the LNA achieves 87.12 dB common-mode rejection ratio (CMRR), 87.64 dB power-supply rejection ratio (PSRR) and 2.75 GΩ input impedance at 50 Hz.</div></div>","PeriodicalId":54973,"journal":{"name":"Integration-The Vlsi Journal","volume":"100 ","pages":"Article 102304"},"PeriodicalIF":2.2000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integration-The Vlsi Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167926024001688","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a low-noise instrument amplifier (LNA) for neural signal acquisition. The proposed LNA consists of two operational transconductance amplifiers (OTA), feedback loops, a positive feedback loop (PFL), a DC servo loop (DSL) and the internal chopper switch located between the capacitive feedback loop and op-amp. The LNA employs the capacitively coupled amplifier with the internal chopper to obtain the rail to rail electrode dc offset (EDO) rejection ability and eliminate the flicker noise of OTA. The PFL is designed to improve the input impedance of the circuit, and the DSL is introduced to suppress the residual offset introduced by the chopper switch. Realized in a 40 nm CMOS technology with 0.69 × 0.1 mm2, the LNA draws 7.4 μA from a supply voltage of 2.5Vand exhibits 1.69 μVrms input-referred noise (IRN) over 1–200 Hz for low frequency and low amplitude neural signals. Besides, the simulation results show that the LNA achieves 87.12 dB common-mode rejection ratio (CMRR), 87.64 dB power-supply rejection ratio (PSRR) and 2.75 GΩ input impedance at 50 Hz.
期刊介绍:
Integration''s aim is to cover every aspect of the VLSI area, with an emphasis on cross-fertilization between various fields of science, and the design, verification, test and applications of integrated circuits and systems, as well as closely related topics in process and device technologies. Individual issues will feature peer-reviewed tutorials and articles as well as reviews of recent publications. The intended coverage of the journal can be assessed by examining the following (non-exclusive) list of topics:
Specification methods and languages; Analog/Digital Integrated Circuits and Systems; VLSI architectures; Algorithms, methods and tools for modeling, simulation, synthesis and verification of integrated circuits and systems of any complexity; Embedded systems; High-level synthesis for VLSI systems; Logic synthesis and finite automata; Testing, design-for-test and test generation algorithms; Physical design; Formal verification; Algorithms implemented in VLSI systems; Systems engineering; Heterogeneous systems.