DocumentCode
1685329
Title
A high spatial resolution 64-channel in-vivo neural recording system
Author
Masoumi, Mohammad ; Bertotti, Gabriel ; Keil, Stefan ; Thewes, Roland
Author_Institution
Fac. of Electr. Eng. & Comput. Sci., Berlin Inst. of Technol. (Tech. Univ. Berlin), Berlin, Germany
fYear
2015
Firstpage
254
Lastpage
257
Abstract
A high spatiotemporal resolution, wireline operation-based, in-vivo neural recording system is presented. The proposed system allows selecting 64 channels from 512 recording sites. The neural signals from the 64 selected sites are amplified, filtered, and finally multiplexed in the time domain. The output signals of each multiplexer are buffered, converted to the current domain, and then transferred to off-chip units for further signal processing purposes. The proposed chip is simulated in a standard 180 nm CMOS process. Estimated input referred noise in the frequency band from 1 Hz to 10 kHz is 5.1 μVrms, and the total power consumption amounts to 3.3 mW at a supply voltage of 1.8 V.
Keywords
CMOS integrated circuits; amplification; bioelectric phenomena; biomedical electronics; biomedical equipment; biomedical measurement; feature selection; filters; low-power electronics; medical signal processing; multiplexing; neurophysiology; noise; signal resolution; spatiotemporal phenomena; 64-channel neural recording system; channel selection; chip simulation; current domain; frequency band; high spatial resolution neural recording system; high spatiotemporal resolution; in vivo neural recording system; input referred noise estimation; multiplexer output signal buffering; multiplexer output signal conversion; neural signal amplification; neural signal filtering; neural signal multiplexing; off-chip unit; power 3.3 mW; recording site; signal processing; signal transfer; size 180 nm; standard CMOS process; supply voltage; time domain; total power consumption; voltage 1.8 V; wireline operation-based neural recording system; Capacitance; Integrated circuit interconnections; Logic gates; MOSFET; Multiplexing; Noise; Extracellular neural recording; high spatiotemporal resolution; multichannel recording; neural amplifier;
fLanguage
English
Publisher
ieee
Conference_Titel
Mixed Design of Integrated Circuits & Systems (MIXDES), 2015 22nd International Conference
Conference_Location
Torun
Print_ISBN
978-8-3635-7806-0
Type
conf
DOI
10.1109/MIXDES.2015.7208521
Filename
7208521
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