A Low-Power Low-Noise Biomedical Instrumentation Amplifier Using Novel Ripple-Reduction Technique

Yizhao Zhou, Menglian Zhao, Yangtao Dong, Xiaobo Wu, Lihan Tang
{"title":"A Low-Power Low-Noise Biomedical Instrumentation Amplifier Using Novel Ripple-Reduction Technique","authors":"Yizhao Zhou, Menglian Zhao, Yangtao Dong, Xiaobo Wu, Lihan Tang","doi":"10.1109/BIOCAS.2018.8584744","DOIUrl":null,"url":null,"abstract":"This paper presents a low-power low-noise capacitively-coupled chopper instrumentation amplifier (CCIA), which is suitable for biomedical applications such as EEG, ECG and neural recoding. A novel ripple-reduction technique combined with ping-pong auto-zeroing is employed to suppress the ripple at the output of the instrumentation amplifier (IA) by the up-modulated amplifier offset and flicker noise. By using a positive feedback loop in the IA, the IA's input impedance is increased. The complete CCIA is simulated in a standard 0.18 μm CMOS process. The simulated result shows the IA consumes several µA current at 1.8 V supply. The equivalent input noise power spectrum density (PSD) is 54 nV/√Hz and the noise efficiency factor (NEF) achieves 4.05 within 1 kHz, while the equivalent input noise PSD is 55.4 nV/√Hz and NEF is 4.15 within 10 kHz. And the input impedance is about 100MΩ.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2018.8584744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

This paper presents a low-power low-noise capacitively-coupled chopper instrumentation amplifier (CCIA), which is suitable for biomedical applications such as EEG, ECG and neural recoding. A novel ripple-reduction technique combined with ping-pong auto-zeroing is employed to suppress the ripple at the output of the instrumentation amplifier (IA) by the up-modulated amplifier offset and flicker noise. By using a positive feedback loop in the IA, the IA's input impedance is increased. The complete CCIA is simulated in a standard 0.18 μm CMOS process. The simulated result shows the IA consumes several µA current at 1.8 V supply. The equivalent input noise power spectrum density (PSD) is 54 nV/√Hz and the noise efficiency factor (NEF) achieves 4.05 within 1 kHz, while the equivalent input noise PSD is 55.4 nV/√Hz and NEF is 4.15 within 10 kHz. And the input impedance is about 100MΩ.
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
一种采用新型纹波降频技术的低功耗低噪声生物医学仪器放大器
提出了一种低功耗、低噪声的电容耦合斩波仪器放大器(CCIA),它适用于脑电图、心电和神经编码等生物医学应用。提出了一种结合乒乓自动调零的新型纹波抑制技术,通过上调放大器偏置和闪烁噪声抑制仪表放大器输出端的纹波。通过在IA中使用正反馈回路,增加了IA的输入阻抗。在标准的0.18 μm CMOS工艺中模拟了完整的CCIA。仿真结果表明,在1.8 V电源下,IA消耗了几µA的电流。等效输入噪声功率谱密度(PSD)为54 nV/√Hz,在1khz范围内噪声效率因子(NEF)为4.05;等效输入噪声PSD为55.4 nV/√Hz,在10khz范围内NEF为4.15。输入阻抗大约是100MΩ。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Smart Prosthesis System: Continuous Automatic Prosthesis Fitting Adjustment and Real-time Stress Visualization Framework of Applying Independent Component Analysis After Compressed Sensing for Electroencephalogram Signals Live Demonstration: A Bluetooth Low Energy (BLE)-enabled Wireless Link for Bidirectional Communications with a Neural Microsystem The Spectral Calibration of Swept-Source Optical Coherence Tomography Systems Using Unscented Kalman Filter An Ultra-Wideband-Inspired System-on-Chip for an Optical Bidirectional Transcutaneous Biotelemetry
×
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