D. Yeager, W. Biederman, Nathan Narevsky, E. Alon, J. Rabaey
{"title":"一个完全集成的10.5µW小型化(0.125mm2)无线神经传感器","authors":"D. Yeager, W. Biederman, Nathan Narevsky, E. Alon, J. Rabaey","doi":"10.1109/VLSIC.2012.6243795","DOIUrl":null,"url":null,"abstract":"A wirelessly powered 0.125mm2 65nm CMOS IC for BMI applications integrates four 1.5μW amplifiers (6.5μVrms input-referred noise for a 10kHz bandwidth) with power conditioning and communication circuitry. The multi-node backscatter FDMA communication scheme frequency locks to a wireless interrogator. The full system, verified wirelessly with MATLAB generated neural data, consumes 10.5μW, and operates at 1mm range in air with 50mW transmit power.","PeriodicalId":6347,"journal":{"name":"2012 Symposium on VLSI Circuits (VLSIC)","volume":"59 1","pages":"72-73"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"A fully-integrated 10.5µW miniaturized (0.125mm2) wireless neural sensor\",\"authors\":\"D. Yeager, W. Biederman, Nathan Narevsky, E. Alon, J. Rabaey\",\"doi\":\"10.1109/VLSIC.2012.6243795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A wirelessly powered 0.125mm2 65nm CMOS IC for BMI applications integrates four 1.5μW amplifiers (6.5μVrms input-referred noise for a 10kHz bandwidth) with power conditioning and communication circuitry. The multi-node backscatter FDMA communication scheme frequency locks to a wireless interrogator. The full system, verified wirelessly with MATLAB generated neural data, consumes 10.5μW, and operates at 1mm range in air with 50mW transmit power.\",\"PeriodicalId\":6347,\"journal\":{\"name\":\"2012 Symposium on VLSI Circuits (VLSIC)\",\"volume\":\"59 1\",\"pages\":\"72-73\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Symposium on VLSI Circuits (VLSIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VLSIC.2012.6243795\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Symposium on VLSI Circuits (VLSIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSIC.2012.6243795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fully-integrated 10.5µW miniaturized (0.125mm2) wireless neural sensor
A wirelessly powered 0.125mm2 65nm CMOS IC for BMI applications integrates four 1.5μW amplifiers (6.5μVrms input-referred noise for a 10kHz bandwidth) with power conditioning and communication circuitry. The multi-node backscatter FDMA communication scheme frequency locks to a wireless interrogator. The full system, verified wirelessly with MATLAB generated neural data, consumes 10.5μW, and operates at 1mm range in air with 50mW transmit power.