Title :
A 128.7nW neural amplifier and Gm-C filter for EEG, using gm/ID methodology and a current reference without resistance
Author :
Gallegos, Samuel A. ; Huq, Hasina F.
Author_Institution :
Electr. Eng. Dept., Univ. of Texas-Pan American, Edinburg, TX, USA
Abstract :
This paper presents a 128.7nW analog front-end amplifier and Gm-C filter for biomedical sensing applications, specifically for Electroencephalogram (EEG) use. The proposed neural amplifier has a supply voltage of 1.8V, consumes a total current of 71.59nA, for a total dissipated power of 128nW and has a gain of 40dB. Also, a 3th order Butterworth Low Pass Gm-C Filter with a 14.7nS transconductor is designed and presented. The filter has a pass band suitable for use in EEG (1-100Hz). The amplifier and filter utilize current sources without resistance which provide 56nA and (1.154nA ×5) respectively. The proposed amplifier occupies and area of 0.26mm2 in 0.3μm TSMC process.
Keywords :
Butterworth filters; band-pass filters; bioelectric potentials; biomedical equipment; electroencephalography; low-pass filters; operational amplifiers; 3th order Butterworth low pass Gm-C filter; EEG; TSMC process; analog front-end amplifier; biomedical sensing applications; current 71.59 nA; current reference; electroencephalogram; frequency 1 Hz to 100 Hz; gain 40 dB; gm/ID methodology; neural amplifier; pass band filter; power 128 nW; power 128.7 nW; size 0.3 mum; supply voltage; total dissipated power; transconductor; voltage 1.8 V; CMOS integrated circuits; Electroencephalography; Equations; Mathematical model; Noise; Transistors; EEG; Gm-C Filter; Gm/ID Methodology; Low Power; Neural Amplifier; TSMC 25 300nm; nanoWatt;
Conference_Titel :
Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on
Conference_Location :
College Station, TX
Print_ISBN :
978-1-4799-4134-6
DOI :
10.1109/MWSCAS.2014.6908555
