A low-power ECoG/EEG processing IC with integrated multiband energy extractor

Fan Zhang, Apurva Mishra, Andrew G. Richardson, Brian Otis

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

Electrocorticography (ECoG) implants have recently demonstrated promising results towards potential use in brain-computer interfaces (BCIs). Spectral changes in ECoG signals can provide insight on functional mapping of sensorimotor cortex. We present a 6.4 W electrocorticography (ECoG)/electroencephalography (EEG) processing integrated circuit (EPIC) with 0.46 μVrms noise floor intended for emerging brain-computer interface (BCI) applications. This chip conditions the signal and simultaneously extracts energy in four fully programmable frequency bands. Functionality is demonstrated by tuning the four bands to important frequency bands used by ECoG/EEG applications: α (8-12 Hz), β (18-26 Hz), low-γ (30-50 Hz), and γ (70-100 Hz). Measured results from in vivo ECoG recording from the primary motor cortex of an awake monkey are presented.

Original languageEnglish (US)
Article number6012496
Pages (from-to)2069-2082
Number of pages14
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume58
Issue number9
DOIs
StatePublished - Sep 12 2011

Keywords

  • Analog integrated circuits
  • analog signal processing IC
  • brain-computer interface (BCI)
  • data reduction
  • electrocorticography (ECoG)
  • electroencephalography (EEG)
  • energy extractor
  • low power
  • subbanding
  • ultra-low power

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