Title :
An integrated low-noise multichannel system for neural signals amplification
Author :
Borghi, T. ; Bonfanti, A. ; Zambra, G. ; Gusmeroli, R. ; Lacaita, A.L. ; Spinelli, A.S. ; Baranauskas, G.
Author_Institution :
Politecnico di Milano, Milan
Abstract :
We present a 64-channels IC front-end for implantable systems using extracellular neural signals for rehabilitation purposes. Each channel of the ASIC consists of a high-pass filter with subthreshold feedback resistance and a line buffer. Channels are scanned through a time-division multiplexer followed by a variable gain amplifier and an output buffer. Power consumption is 500 muW per channel with plusmn1.65 V dual supply and an excellent noise performance of 2.9 muVrms (100 Hz- 10 kHz).
Keywords :
CMOS integrated circuits; amplifiers; buffer circuits; cellular neural nets; high-pass filters; time division multiplexing; extracellular neural signals; frequency 100 Hz to 10 kHz; high-pass filter; integrated low-noise multichannel system; line buffer; neural signals amplification; noise performance; power 500 muW; power consumption; subthreshold feedback resistance; time-division multiplexer; variable gain amplifier; Active filters; Decoding; Electrodes; Electronic equipment testing; Extracellular; Impedance; Multiplexing; Neurons; Noise level; Preamplifiers;
Conference_Titel :
Solid State Circuits Conference, 2007. ESSCIRC 2007. 33rd European
Conference_Location :
Munich
Print_ISBN :
978-1-4244-1125-2
DOI :
10.1109/ESSCIRC.2007.4430341
