EARNEST:一种用于神经义肢中神经记录和感觉触觉恢复的64通道装置

Caterina Carboni, Lorenzo Bisoni, R. Puddu, G. Barabino, D. Pani, L. Raffo, M. Barbaro
{"title":"EARNEST:一种用于神经义肢中神经记录和感觉触觉恢复的64通道装置","authors":"Caterina Carboni, Lorenzo Bisoni, R. Puddu, G. Barabino, D. Pani, L. Raffo, M. Barbaro","doi":"10.1109/BIOCAS.2017.8325549","DOIUrl":null,"url":null,"abstract":"EARNEST is a complete embedded system for neural prosthetic applications. It includes recording capabilities of electroneurographic (ENG) signals from up to 4 intrafascicular electrodes with 16 channels each, recording of electromyographic(EMG) signals from 4 differential surface electrodes and multi-channel programmable electrical stimulation. It realizes a complete system for closed-loop bidirectional communication between the Peripheral Neural System (PNS) and an artificial limb. The system is built upon a programmable core for System-on-Chip and 3 different application specific integrated circuits (ASIC) realized in a 0.35μ-m CMOS high-voltage process from ams designed to meet the constraints in terms of area, noise and power in view of a fully implantable system. The whole system has been successfully tested by means of in-vivo experiments with animal models.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"EARNEST: A 64 channel device for neural recording and sensory touch restoration in neural prosthetics\",\"authors\":\"Caterina Carboni, Lorenzo Bisoni, R. Puddu, G. Barabino, D. Pani, L. Raffo, M. Barbaro\",\"doi\":\"10.1109/BIOCAS.2017.8325549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"EARNEST is a complete embedded system for neural prosthetic applications. It includes recording capabilities of electroneurographic (ENG) signals from up to 4 intrafascicular electrodes with 16 channels each, recording of electromyographic(EMG) signals from 4 differential surface electrodes and multi-channel programmable electrical stimulation. It realizes a complete system for closed-loop bidirectional communication between the Peripheral Neural System (PNS) and an artificial limb. The system is built upon a programmable core for System-on-Chip and 3 different application specific integrated circuits (ASIC) realized in a 0.35μ-m CMOS high-voltage process from ams designed to meet the constraints in terms of area, noise and power in view of a fully implantable system. The whole system has been successfully tested by means of in-vivo experiments with animal models.\",\"PeriodicalId\":361477,\"journal\":{\"name\":\"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIOCAS.2017.8325549\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2017.8325549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

EARNEST是一个完整的嵌入式系统,用于神经假肢应用。它包括记录来自多达4个筋束内电极(每个电极有16个通道)的神经电图(ENG)信号的能力,记录来自4个差分表面电极的肌电图(EMG)信号和多通道可编程电刺激。它实现了一个完整的外周神经系统(PNS)与假肢之间的闭环双向通信系统。该系统基于一个可编程的片上系统(system -on- chip)核心和3个不同的专用集成电路(ASIC),在一个0.35μ m的CMOS高压工艺中实现,旨在满足完全可植入系统在面积、噪声和功耗方面的限制。整个系统已成功地通过动物模型的体内实验进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EARNEST: A 64 channel device for neural recording and sensory touch restoration in neural prosthetics
EARNEST is a complete embedded system for neural prosthetic applications. It includes recording capabilities of electroneurographic (ENG) signals from up to 4 intrafascicular electrodes with 16 channels each, recording of electromyographic(EMG) signals from 4 differential surface electrodes and multi-channel programmable electrical stimulation. It realizes a complete system for closed-loop bidirectional communication between the Peripheral Neural System (PNS) and an artificial limb. The system is built upon a programmable core for System-on-Chip and 3 different application specific integrated circuits (ASIC) realized in a 0.35μ-m CMOS high-voltage process from ams designed to meet the constraints in terms of area, noise and power in view of a fully implantable system. The whole system has been successfully tested by means of in-vivo experiments with animal models.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信