Theses and Dissertations - UTB/UTPA

Date of Award


Document Type


Degree Name

Master of Science (MS)


Electrical Engineering

First Advisor

Dr. Hasina Huq

Second Advisor

Dr. Heinrich Foltz

Third Advisor

Dr. Weidong Kuang


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.


Copyright 2014 Samuel A. Gallegos. All Rights Reserved.

Granting Institution

University of Texas-Pan American