title: Circuit techniques for wireless brain interfaces.
abstract: Efficient, miniaturized wireless recording is critical for both existing and emerging health-monitoring applications. One important example of this is in the brain interface community, where new technologies allow improved observation and understanding of brain functions. This, in turn, drives the need for ever smaller, lower power, and higher performance circuitry for chronic recording. This paper describes circuit and system techniques for low power wireless brain interfaces. Active and passive architectures are described and compared, and measured in-vivo data from both are presented.
authors: Department of Electrical Engineering, University of Washington, Seattle, WA, 98195, USA.
authors: B
authors: B
authors: Otis
authors: C
authors: C
authors: Moritz
authors: J
authors: J
authors: Holleman
authors: A
authors: A
authors: Mishra
authors: J
authors: J
authors: Pandey
authors: S
authors: S
authors: Rai
authors: D
authors: D
authors: Yeager
authors: F
authors: F
authors: Zhang
mesh_terms: D000465:Algorithms; D000669:Amplifiers, Electronic; D000818:Animals; D001921:Brain / Q000473:pathology*; D003195:Computer Communication Networks / Q000295:instrumentation; D004566:Electrodes; D004867:Equipment Design / Q000295:instrumentation; D006801:Humans; D009036:Moths; D009474:Neurons / Q000473:pathology; D010363:Pattern Recognition, Automated; D051381:Rats; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012984:Software; D013119:Spinal Cord Injuries / Q000503:physiopathology; D013686:Telemetry / Q000295:instrumentation*; D014584:User-Computer Interface