Name
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). |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ESSCIRC.2007.4430341 | Munich |
Keywords | DocType | ISSN |
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,high pass filters,high pass filter,front end | Conference | 1930-8833 |
ISBN | Citations | PageRank |
978-1-4244-1125-2 | 4 | 0.54 |
References | Authors | |
2 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| t borghi | 1 | 17 | 2.32 |
| Andrea Bonfanti | 2 | 4 | 1.56 |
| g zambra | 3 | 4 | 0.54 |
| r gusmeroli | 4 | 4 | 0.54 |
| Andrea L. Lacaita | 5 | 320 | 42.41 |
| alessandro s spinelli | 6 | 24 | 5.13 |
| g baranauskas | 7 | 5 | 0.94 |