Title :
A Low-Power ECoG/EEG Processing IC With Integrated Multiband Energy Extractor
Author :
Zhang, Fan ; Mishra, Apurva ; Richardson, Andrew G. ; Otis, Brian
Author_Institution :
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
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 μ 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.
Keywords :
biomedical electronics; brain-computer interfaces; electroencephalography; low-power electronics; medical signal processing; neurophysiology; prosthetics; BCI; ECoG implants; ECoG recording; ECoG signals; EPIC; brain-computer interfaces; electrocorticography implants; electrocorticography processing integrated circuit; electroencephalography processing integrated circuit; functional mapping; integrated multiband energy extractor; low-power ECoG processing IC; low-power EEG rocessing IC; monkey; primary motor cortex; programmable frequency bands; sensorimotor cortex; Capacitors; Clocks; Electrodes; Electroencephalography; Integrated circuits; Noise; Tuning; 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;
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
DOI :
10.1109/TCSI.2011.2163972