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
Link To Document :
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