Theses and Dissertations - UTB/UTPA
Date of Award
12-2014
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical Engineering
First Advisor
Dr. Hasina Huq
Second Advisor
Dr. Heinrich Foltz
Third Advisor
Dr. Weidong Kuang
Abstract
This Thesis presents a low-power analog front-end amplifier and Gm-C filter for biomedical sensing applications, specifically for Electroencephalogram (EEG) use. The proposed neural amplifier uses a supply voltage of 1.8V, it has a mid-band gain of 40.75dB, and consumes a total current of 71.82nA, for a total dissipated power of 129.276nW. Also presented is the design of a 3rd order Butterworth Low Pass Gm-C Filter which makes use of 14.7nS transconductors; the proposed filter has a pass band suitable for EEG recording use (1-100Hz). The amplifier and filter utilize current sources without bias resistances which provide 56nA and (1.154nA x 5) respectively. The proposed neural amplifier occupies a chip area of 0.275mm2 in a 0.3μm TSMC process. Simulation of the schematic and extracted chip layout is presented, along with a comparison of similar published works. Finally, a projected power consumption calculation for a multichannel system based on this system is offered.
Granting Institution
University of Texas-Pan American
Comments
Copyright 2014 Samuel A. Gallegos. All Rights Reserved.
https://www.proquest.com/dissertations-theses/129nw-neural-amplifier-g-sub-m-c-filter-eeg-using/docview/1658783812/se-2