Riccardo Della Sala, F. Centurelli, P. Monsurrò, G. Scotti
{"title":"Sub-μW Front-End Low Noise Amplifier for Neural Recording Applications","authors":"Riccardo Della Sala, F. Centurelli, P. Monsurrò, G. Scotti","doi":"10.1109/prime55000.2022.9816833","DOIUrl":null,"url":null,"abstract":"Multi-channel neural recording systems are more and more required for neuroscience research and to cope with neurological disorders. Such systems are based on brain-implantable integrated devices with stringent requirements on supply voltage, power consumption and area footprint. A very low power, low noise fully differential front-end amplifier for neural signals processing is presented in this paper. The proposed amplifier architecture exploits two fully differential OTAs with Arbel topology operating in sub-threshold, and allows AC coupling with a high offset electrode while guaranteeing a very low high-pass cut-off frequency without increasing the equivalent input noise. The neural recording front-end has been designed referring to a 0.13-μm CMOS process. The proposed amplifier operates with a supply voltage as low as 0. 3V with a mid-band gain of 40dB and a -3dB bandwidth from 0.1 Hz to 10 kHz. Input referred noise and total power consumption are 11 μVrms and 277nW respectively.","PeriodicalId":142196,"journal":{"name":"2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/prime55000.2022.9816833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Multi-channel neural recording systems are more and more required for neuroscience research and to cope with neurological disorders. Such systems are based on brain-implantable integrated devices with stringent requirements on supply voltage, power consumption and area footprint. A very low power, low noise fully differential front-end amplifier for neural signals processing is presented in this paper. The proposed amplifier architecture exploits two fully differential OTAs with Arbel topology operating in sub-threshold, and allows AC coupling with a high offset electrode while guaranteeing a very low high-pass cut-off frequency without increasing the equivalent input noise. The neural recording front-end has been designed referring to a 0.13-μm CMOS process. The proposed amplifier operates with a supply voltage as low as 0. 3V with a mid-band gain of 40dB and a -3dB bandwidth from 0.1 Hz to 10 kHz. Input referred noise and total power consumption are 11 μVrms and 277nW respectively.