title: A power-efficient analog integrated circuit for amplification and detection of neural signals.
abstract: We present a neural amplifier that optimizes the trade-off between power consumption and noise performance down to the best so far reported. In the perspective of realizing a fully autonomous implantable system we also address the problem of spike detection by using a new simple algorithm and we discuss the implementation with analog integrated circuits. Implemented in 0.35-microm CMOS technology and with total current consumption of about 20 microA, the whole circuit occupies an area of 0.18 mm(2). Reduced power consumption and small area make it suited to be used in chronic multichannel recording systems for neural prosthetics and neuroscience experiments.
authors.affiliation: Dip. di Elettronica e Informazione, Politecnico di Milano - IU.NET, piazza L. da Vinci 32, 20133, Italy. borghi@elet.polimi.it
authors.forename: T
authors.initials: T
authors.lastname: Borghi
authors.forename: A
authors.initials: A
authors.lastname: Bonfanti
authors.forename: R
authors.initials: R
authors.lastname: Gusmeroli
authors.forename: G
authors.initials: G
authors.lastname: Zambra
authors.forename: A S
authors.initials: AS
authors.lastname: Spinelli
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D011211:Electric Power Supplies; D004581:Electronics / Q000295:instrumentation*; D004594:Electrophysiology / Q000295:instrumentation*; D004735:Energy Transfer; D004867:Equipment Design; D019544:Equipment Failure Analysis; D009474:Neurons / Q000502:physiology*; D015203:Reproducibility of Results; D012666:Semiconductors; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*