José Luis Valtierra, R. Fiorelli, M. Delgado-Restituto, Á. Rodríguez-Vázquez
{"title":"A Sub-µW Reconfigurable Front-End for Invasive Neural Recording","authors":"José Luis Valtierra, R. Fiorelli, M. Delgado-Restituto, Á. Rodríguez-Vázquez","doi":"10.1109/LASCAS.2019.8667584","DOIUrl":null,"url":null,"abstract":"This paper presents a sub-µW ac-coupled reconfigurable front-end for the purpose of neural recording. The proposed topology embeds in it filtering capabilities allowing it to select among different frequency bands inside the neural signal spectrum. Power consumption is optimized by designing for bandwidth-specific noise targets that take into account the spectral characteristics of the input signal as well as the noise bandwidths of the noise generators in the circuit itself. An experimentally verified prototype designed in a 180 nm CMOS process draws a maximum of 815 nW from a 1 V source. The measured input-referred spot-noise at 500 Hz is ${\\text{75}}\\,{\\text{nV}}/\\sqrt {{\\text{Hz}}} $ while the integrated noise in the 200 Hz - 5 kHz band is 4.1 µVrms.","PeriodicalId":142430,"journal":{"name":"2019 IEEE 10th Latin American Symposium on Circuits & Systems (LASCAS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 10th Latin American Symposium on Circuits & Systems (LASCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LASCAS.2019.8667584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents a sub-µW ac-coupled reconfigurable front-end for the purpose of neural recording. The proposed topology embeds in it filtering capabilities allowing it to select among different frequency bands inside the neural signal spectrum. Power consumption is optimized by designing for bandwidth-specific noise targets that take into account the spectral characteristics of the input signal as well as the noise bandwidths of the noise generators in the circuit itself. An experimentally verified prototype designed in a 180 nm CMOS process draws a maximum of 815 nW from a 1 V source. The measured input-referred spot-noise at 500 Hz is ${\text{75}}\,{\text{nV}}/\sqrt {{\text{Hz}}} $ while the integrated noise in the 200 Hz - 5 kHz band is 4.1 µVrms.