DocumentCode
1376707
Title
Highly Accurate Dual-Band Cellular Field Potential Acquisition For Brain–Machine Interface
Author
GUO, Jun ; Yuan, Jiaxin ; Huang, Jie ; Law, James ; Yeung, Chi-Kong ; Chan, Mei-Lin
Author_Institution
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clearwater Bay, Kowloon, Hong Kong,
Volume
1
Issue
4
fYear
2011
Firstpage
461
Lastpage
468
Abstract
Cellular field potential includes local field potential (LFP, 0.1 Hz–200 Hz) and spike potential (SP, 200 Hz–10 kHz). In physiological studies of the brain, SP signal has been the focus. Various circuits have been reported to acquire SP signals in brain–machine interface (BMI) systems over the years. Recent study shows that the LFP signal plays important roles in modulating many profound neuronal mechanisms in the brain. It is important for new BMI design to record the dual-band signal accurately, which demands acquisition circuits to have low noise and good linearity in both bands. In this paper, we report the design of a dual-band acquisition integrated circuit (IC) for microelectrode recording. The novel design uses a continuous- time (CT) front-end with chopping to suppress the noise, and a discrete-time (DT) back-end to achieve good linearity. A prototype monolithic acquisition IC is fabricated in a 0.35
CMOS process. It has 16 acquisition channels and an 11 bit successive-approximation (SAR) analog-to-digital converter (ADC). Silicon measurements show that every channel has
noise and
nonlinearity. The good linearity effectively prevents the aliasing and mixing between the two bands. For LFP signals, the recording noise is
. For SP signals, the recording noise is
. Important to the microelectrode recording, the new design has high input impedance
at
, high common-mode rejection ratio (CMRR)
and power-supply rejection ratio (PSRR)
. Noise-efficiency factor (NEF) of the acquisition channel is 6.6. The IC is experimented with rat cardio-myocytes recording.
Keywords
Analog-digital conversion; Brain computer interfaces; Dual band; Integrated circuit synthesis; Linearity; Microelectrodes; Noise; Brain–machine interface (BMI); dual-band recording; field potential recording; low-noise front-end;
fLanguage
English
Journal_Title
Emerging and Selected Topics in Circuits and Systems, IEEE Journal on
Publisher
ieee
ISSN
2156-3357
Type
jour
DOI
10.1109/JETCAS.2011.2174471
Filename
6081951
Link To Document