A. Rodríguez-Pérez, J. Ruiz-Amaya, Oscar Guerra, M. Delgado-Restituto
{"title":"A reconfigurable neural spike recording channel with feature extraction capabilities","authors":"A. Rodríguez-Pérez, J. Ruiz-Amaya, Oscar Guerra, M. Delgado-Restituto","doi":"10.1109/BIOCAS.2010.5709585","DOIUrl":null,"url":null,"abstract":"This paper describes the architecture of a neural spike recording channel with feature extraction capabilities and presents the design of one of its key elements, a reconfigurable 8-bit ADC. The ADC can be programmed for different conversion rates and embeds a 0–18dB programmable gain amplifier with discrete gain steps of 3dB. Simulation results from extracted layout of the ADC, designed in a 130nm CMOS technology, obtain almost 8-bit ENOB at 22.2kS/s and 90kS/s, with a power consumption of 500nW and 1.8μW, respectively.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"569 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2010.5709585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper describes the architecture of a neural spike recording channel with feature extraction capabilities and presents the design of one of its key elements, a reconfigurable 8-bit ADC. The ADC can be programmed for different conversion rates and embeds a 0–18dB programmable gain amplifier with discrete gain steps of 3dB. Simulation results from extracted layout of the ADC, designed in a 130nm CMOS technology, obtain almost 8-bit ENOB at 22.2kS/s and 90kS/s, with a power consumption of 500nW and 1.8μW, respectively.