基于标准65nm CMOS的64通道记录、共振刺激和伪影抑制的双向脑机接口

J. Uehlin, W. A. Smith, V. R. Pamula, S. Perlmutter, V. Sathe, J. Rudell
{"title":"基于标准65nm CMOS的64通道记录、共振刺激和伪影抑制的双向脑机接口","authors":"J. Uehlin, W. A. Smith, V. R. Pamula, S. Perlmutter, V. Sathe, J. Rudell","doi":"10.1109/ESSCIRC.2019.8902911","DOIUrl":null,"url":null,"abstract":"A single-chip bidirectional brain-computer interface (BBCI) enables neuromodulation through simultaneous neural recording and stimulation. This paper presents a prototype BBCI ASIC including a 64-channel time-multiplexed recording front-end, 4-channel high-voltage compliant resonant-stimulator and electronics to support concurrent multi-channel differential- and common-mode stimulus artifact cancellation. A cascaded charge pump-based stimulation driver provides +/-11V compliance using 1.2V devices. High-frequency (~3GHz), self-resonant clocking is used to reduce capacitor area while suppressing associated switching losses. A 32-tap LMS-based digital adaptive filter achieves 60-dB artifact suppression, enabling simultaneous neural stimulation and recording. The entire chip is powered by 2.5/1.2V supplies, dissipating 205µW in recording, 142µW in the cancellation back-end, and 31% DC-DC efficiency in the stimulation drivers, each with a maximum output power of 24mW. This 4mm2 neural interface chip was implemented in 65nm 1P9M LP CMOS.","PeriodicalId":402948,"journal":{"name":"ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Bidirectional Brain Computer Interface with 64-Channel Recording, Resonant Stimulation and Artifact Suppression in Standard 65nm CMOS\",\"authors\":\"J. Uehlin, W. A. Smith, V. R. Pamula, S. Perlmutter, V. Sathe, J. Rudell\",\"doi\":\"10.1109/ESSCIRC.2019.8902911\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A single-chip bidirectional brain-computer interface (BBCI) enables neuromodulation through simultaneous neural recording and stimulation. This paper presents a prototype BBCI ASIC including a 64-channel time-multiplexed recording front-end, 4-channel high-voltage compliant resonant-stimulator and electronics to support concurrent multi-channel differential- and common-mode stimulus artifact cancellation. A cascaded charge pump-based stimulation driver provides +/-11V compliance using 1.2V devices. High-frequency (~3GHz), self-resonant clocking is used to reduce capacitor area while suppressing associated switching losses. A 32-tap LMS-based digital adaptive filter achieves 60-dB artifact suppression, enabling simultaneous neural stimulation and recording. The entire chip is powered by 2.5/1.2V supplies, dissipating 205µW in recording, 142µW in the cancellation back-end, and 31% DC-DC efficiency in the stimulation drivers, each with a maximum output power of 24mW. This 4mm2 neural interface chip was implemented in 65nm 1P9M LP CMOS.\",\"PeriodicalId\":402948,\"journal\":{\"name\":\"ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESSCIRC.2019.8902911\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESSCIRC.2019.8902911","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

单芯片双向脑机接口(BBCI)通过同时记录和刺激神经来实现神经调节。本文提出了一个BBCI ASIC原型,包括一个64通道时间复用记录前端,4通道高压兼容谐振刺激器和电子设备,以支持并发多通道差分和共模刺激伪影消除。基于级联电荷泵的刺激驱动器使用1.2V设备提供+/-11V的合规性。高频(~3GHz)自谐振时钟用于减少电容器面积,同时抑制相关的开关损耗。基于lms的32分接数字自适应滤波器实现60db伪影抑制,同时实现神经刺激和记录。整个芯片由2.5/1.2V电源供电,记录功耗为205µW,取消后端功耗为142µW,激励驱动器的DC-DC效率为31%,每个驱动器的最大输出功率为24mW。该4mm2神经接口芯片采用65nm 1P9M LP CMOS实现。
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
A Bidirectional Brain Computer Interface with 64-Channel Recording, Resonant Stimulation and Artifact Suppression in Standard 65nm CMOS
A single-chip bidirectional brain-computer interface (BBCI) enables neuromodulation through simultaneous neural recording and stimulation. This paper presents a prototype BBCI ASIC including a 64-channel time-multiplexed recording front-end, 4-channel high-voltage compliant resonant-stimulator and electronics to support concurrent multi-channel differential- and common-mode stimulus artifact cancellation. A cascaded charge pump-based stimulation driver provides +/-11V compliance using 1.2V devices. High-frequency (~3GHz), self-resonant clocking is used to reduce capacitor area while suppressing associated switching losses. A 32-tap LMS-based digital adaptive filter achieves 60-dB artifact suppression, enabling simultaneous neural stimulation and recording. The entire chip is powered by 2.5/1.2V supplies, dissipating 205µW in recording, 142µW in the cancellation back-end, and 31% DC-DC efficiency in the stimulation drivers, each with a maximum output power of 24mW. This 4mm2 neural interface chip was implemented in 65nm 1P9M LP CMOS.
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
A 78 fs RMS Jitter Injection-Locked Clock Multiplier Using Transformer-Based Ultra-Low-Power VCO An Integrated Programmable High-Voltage Bipolar Pulser With Embedded Transmit/Receive Switch for Miniature Ultrasound Probes Machine Learning Based Prior-Knowledge-Free Calibration for Split Pipelined-SAR ADCs with Open-Loop Amplifiers Achieving 93.7-dB SFDR An 18 dBm 155-180 GHz SiGe Power Amplifier Using a 4-Way T-Junction Combining Network A Bidirectional Brain Computer Interface with 64-Channel Recording, Resonant Stimulation and Artifact Suppression in Standard 65nm CMOS
×
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