E. Vallicelli, A. Baschirotto, Lorenzo Stevenazzi, Luciano Rota, M. Matteis
{"title":"2.4 Hz–5 kHz Passband $11.8\\ \\mu \\mathrm{V}_{\\text{RMS}}$ Noise Power Neural Amplifier for Brain-Chip Interfaces","authors":"E. Vallicelli, A. Baschirotto, Lorenzo Stevenazzi, Luciano Rota, M. Matteis","doi":"10.1109/icecs53924.2021.9665636","DOIUrl":null,"url":null,"abstract":"This paper presents the complete transistor-level design of a Low-Noise-Amplifier (LNA) in CMOS 28 nm bulk technology for sensing the weak extracellular neuro-potentials signals in Electrolyte-Oxide-MOS (EOMOS) Brain-Chip Interfaces. The proposed LNA adopts an efficient pseudo-resistor topology that allow to synthesize a stable resistance (in the tens of $\\mathrm{G}\\Omega$ order) without any external calibration. The LNA has 2.4 Hz minimum passband frequency performing $7.8 \\mu \\mathrm{V}_{\\text{RMS}}$ and $8.8\\ \\mu \\mathrm{V}_{\\text{RMS}}$ input-referred noise power at 1 Hz – 300 Hz (Local Field Potential) and 300 Hz–5 kHz (Action Potentials) bandwidth, respectively. The device consumes $2.4 \\mu \\mathrm{W}$ power and has been designed in 28 nm CMOS technology.","PeriodicalId":448558,"journal":{"name":"2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icecs53924.2021.9665636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the complete transistor-level design of a Low-Noise-Amplifier (LNA) in CMOS 28 nm bulk technology for sensing the weak extracellular neuro-potentials signals in Electrolyte-Oxide-MOS (EOMOS) Brain-Chip Interfaces. The proposed LNA adopts an efficient pseudo-resistor topology that allow to synthesize a stable resistance (in the tens of $\mathrm{G}\Omega$ order) without any external calibration. The LNA has 2.4 Hz minimum passband frequency performing $7.8 \mu \mathrm{V}_{\text{RMS}}$ and $8.8\ \mu \mathrm{V}_{\text{RMS}}$ input-referred noise power at 1 Hz – 300 Hz (Local Field Potential) and 300 Hz–5 kHz (Action Potentials) bandwidth, respectively. The device consumes $2.4 \mu \mathrm{W}$ power and has been designed in 28 nm CMOS technology.