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dc.contributor.authorDuan, Lian
dc.contributor.authorWang, Tao
dc.contributor.authorWang, Siwei
dc.contributor.authorYazdanbakhsh, Amir
dc.date.accessioned2015-09-22T12:43:00Z
dc.date.available2015-09-22T12:43:00Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/1853/54042
dc.descriptionResearch area: Implantable Microelectronic Devicesen_US
dc.description.abstractAn integrated 4-channel wireless neural recording system architecture is proposed. The system was designed to detect extracellular activity potential in the brain. Highly power-efficient front-end signal processing, spike detector, analog-to-digital converter, on-chip power management system, and FSK transmitter are designed and implemented on 0.5 μm CMOS process.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesSCS Technical Report ; GT-CS-15-06en_US
dc.subjectAnalog designen_US
dc.subjectBiomedical electronicsen_US
dc.subjectCMOS integrated circuitsen_US
dc.subjectNeurophysiologyen_US
dc.subjectVLSIen_US
dc.titleA Wireless Neural Recording SoC and Implantable Microsystem Integrationen_US
dc.typeTechnical Reporten_US
dc.contributor.corporatenameGeorgia Institute of Technology. College of Computingen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Computer Scienceen_US
dc.embargo.termsnullen_US


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