用于神经记录应用的亚μ w前端低噪声放大器

Riccardo Della Sala, F. Centurelli, P. Monsurrò, G. Scotti
{"title":"用于神经记录应用的亚μ w前端低噪声放大器","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":"{\"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}","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

摘要

多通道神经记录系统在神经科学研究和应对神经系统疾病方面的需求越来越大。此类系统基于可植入大脑的集成设备,对供电电压、功耗和占地面积有严格的要求。介绍了一种用于神经信号处理的低功耗、低噪声全差分前端放大器。所提出的放大器架构利用两个完全差分ota, Arbel拓扑在亚阈值下工作,并允许与高偏置电极进行交流耦合,同时保证非常低的高通截止频率,而不会增加等效输入噪声。神经记录前端采用0.13 μm CMOS工艺设计。所提出的放大器在低至0的电源电压下工作。3V,中频增益为40dB,带宽为-3dB,范围为0.1 Hz至10khz。输入参考噪声和总功耗分别为11 μVrms和277nW。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Sub-μW Front-End Low Noise Amplifier for Neural Recording Applications
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Using Formal Methods to Evaluate Hardware Reliability in the Presence of Soft Errors Leaky Integrate-and-Fire Neuron with a Refractory Period Mechanism for Invariant Spikes Phase-change memory cells characterization in an analog in-memory computing perspective Analysis of Current-Reuse and Split-Voltage Topology for Biomedical Amplifier Arrays Influence of Amplitude and Phase Imbalance on a Y-band Bootstrapped Frequency Doubler using 130-nm SiGe Technology
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1