| This Thesis presents a low-power analog front-end amplifier and G m-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 3 rd 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 amplifier occupies a chip area of 0.275mm2 in a 0.3mum 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. |
