Title :
16-channel neural pre-conditioning device
Author :
Morizio, J. ; Won, D. ; Obeid, I. ; Bossetti, C. ; Nicolelis, M. ; Wolf, P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
Abstract :
We present the mixed-signal circuit design, layout, implementation techniques, and test data for a 16-channel neural pre-conditioning device that is used to amplify and filter signals acquired from chronically implanted electrodes in an animal´s brain. Schematics and simulation data for each of the subcircuit macros are presented which include a high gain, continuous time first order bandpass filter pre-amplifier, a cascaded bandpass switch capacitor filter, a selectable gain output buffer, and a voltage controlled oscillator based clock generation circuitry. This device was implemented using AMI´s, 0.5 μm, double poly, triple level metal, 5 V, CMOS technology. The layout and floorplan, specifications and test data for this device conclude this paper.
Keywords :
CMOS integrated circuits; analogue processing circuits; band-pass filters; biomedical electrodes; biomedical electronics; integrated circuit layout; medical signal processing; mixed analogue-digital integrated circuits; neurophysiology; preamplifiers; prosthetics; switched capacitor filters; voltage-controlled oscillators; 0.5 micron; 16-channel neural pre-conditioning device; 5 V; brain; cascaded bandpass switch capacitor filter; chronically implanted electrodes; double poly CMOS technology; floorplan; high gain continuous time first order bandpass filter pre-amplifier; implementation techniques; layout; mixed-signal circuit design; neural prosthetics; selectable gain output buffer; signal amplification; signal filtering; simulation data; specifications; subcircuit macros; test data; triple level metal CMOS technology; voltage controlled oscillator based clock generation circuitry; Band pass filters; Brain modeling; CMOS technology; Circuit simulation; Circuit synthesis; Circuit testing; Electrodes; Switched capacitor circuits; Switches; Switching circuits;
Conference_Titel :
Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
Print_ISBN :
0-7803-7579-3
DOI :
10.1109/CNE.2003.1196767
