Yi Chen, A. Basu, Xu Liu, Lei Yao, S. Nag, M. Je, N. Thakor
{"title":"A simultaneous neural recording and stimulation system using signal folding in recording circuits","authors":"Yi Chen, A. Basu, Xu Liu, Lei Yao, S. Nag, M. Je, N. Thakor","doi":"10.1109/BIOCAS.2017.8325190","DOIUrl":null,"url":null,"abstract":"A closed-loop brain-machine interface requires the integration of the neural stimulation and recording circuits with the microelectrode array. A challenge for simultaneous neural recording and stimulation is the large interference faced by the neural amplifier induced by stimulation artifacts. In this work, front-end circuit design technique and digital post-processing are combined to provide a solution for fast recovery of the neural amplifier from artifact, based on a signal folding scheme. A chip integrating the neural recording and stimulation circuits is implemented in GF-0.18μm CMOS process for proof of concept. In — vitro experiment is conducted using this chip, showing the viability of the proposed design. At stimulation current levels from 50 — 100 μA, which is sufficient for deep brain stimulation, a faster recovery time of around 1 ms is achieved with the proposed neural amplifier compared to 4 ms from conventional one.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"12 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2017.8325190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A closed-loop brain-machine interface requires the integration of the neural stimulation and recording circuits with the microelectrode array. A challenge for simultaneous neural recording and stimulation is the large interference faced by the neural amplifier induced by stimulation artifacts. In this work, front-end circuit design technique and digital post-processing are combined to provide a solution for fast recovery of the neural amplifier from artifact, based on a signal folding scheme. A chip integrating the neural recording and stimulation circuits is implemented in GF-0.18μm CMOS process for proof of concept. In — vitro experiment is conducted using this chip, showing the viability of the proposed design. At stimulation current levels from 50 — 100 μA, which is sufficient for deep brain stimulation, a faster recovery time of around 1 ms is achieved with the proposed neural amplifier compared to 4 ms from conventional one.