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 language | English (US) |
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Article number | 6012496 |
Pages (from-to) | 2069-2082 |
Number of pages | 14 |
Journal | IEEE Transactions on Circuits and Systems I: Regular Papers |
Volume | 58 |
Issue number | 9 |
DOIs | |
State | Published - 2011 |
Externally published | Yes |
Bibliographical note
Funding Information:Manuscript received March 02, 2011; revised June 01, 2011; accepted July 01, 2011. Date of current version September 14, 2011. This work was supported in part by NSF Grant 0845120. This paper was recommended by Editor G. Man-ganaro.
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