title: Exploiting Electrocorticographic Spectral Characteristics for Optimized Signal Chain Design: A 1.08 Analog Front End With Reduced ADC Resolution Requirements.
abstract: Electrocorticography (ECoG) is an important area of research for Brain-Computer Interface (BCI) development. ECoG, along with some other biopotentials, has spectral characteristics that can be exploited for more optimal front-end performance than is achievable with conventional techniques. This paper optimizes noise performance of such a system and discusses an equalization technique that reduces the analog-to-digital converter (ADC) dynamic range requirements and eliminates the need for a variable gain amplifier (VGA). We demonstrate a fabricated prototype in 1p9m 65 nm CMOS that takes advantage of the presented findings to achieve high-fidelity, full-spectrum ECoG recording. It requires 1.08 μW over a 150 Hz bandwidth for the entire analog front end and only 7 bits of ADC resolution.
authors.forename: William A
authors.initials: WA
authors.lastname: Smith
authors.forename: Brian J
authors.initials: BJ
authors.lastname: Mogen
authors.forename: Eberhard E
authors.initials: EE
authors.lastname: Fetz
authors.forename: Visvesh S
authors.initials: VS
authors.lastname: Sathe
authors.forename: Brian P
authors.initials: BP
authors.lastname: Otis
mesh_terms: D000669:Amplifiers, Electronic; D062207:Brain-Computer Interfaces; D000069280:Electrocorticography / Q000295:instrumentation / Q000379:methods*; D004867:Equipment Design; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio