DocumentCode
1833404
Title
Low power ENG signal acquisition amplifier for Epileptic Seizure Prediction
Author
Alexander, J. ; Lakshmi, M.S. ; Renuga, M.
Author_Institution
Dept. of ECE, PSG Coll. of Technol., Coimbatore, India
fYear
2012
fDate
1-2 March 2012
Firstpage
1
Lastpage
4
Abstract
This paper deals with the design of low power low noise neural signal amplifier for Epileptic Seizure Prediction. The advent of Micro-electro Arrays has driven the need for implantable electronic circuitry to detect those Extracellular neural signals (ENG). We proposed a preamplifier of fully differential Low Noise Amplifier (LNA) with gm boosting in order to enhance the gain as well as reduce the power consumption. Low frequency high pass function has been realized with anti-parallel Diode connected PMOS. Simulation results shows that the input referred noise is 1.24μVrms from 100Hz to 5 KHz, mid-band voltage gain of 44.6dB, and the power consumption is 18.74μw. The results are validated using Cadence spectre simulator with 180nm technology. Simulation results show that this implantable amplifier is suitable for Epileptic seizure prediction.
Keywords
MOS integrated circuits; biomedical electrodes; biomedical electronics; diseases; lab-on-a-chip; low noise amplifiers; medical signal detection; microelectrodes; neurophysiology; power consumption; preamplifiers; prosthetics; Cadence spectre simulator; LNA; antiparallel diode connected PMOS; epileptic seizure prediction; extracellular neural signals; frequency 100 Hz to 5 kHz; gm boosting; gain 44.6 dB; implantable electronic circuitry; low frequency high pass function; low power ENG signal acquisition amplifier; low power low noise neural signal amplifier; microelectro arrays; midband voltage gain; power 18.74 muW; power consumption; preamplifier; Gain; Low pass filters; Noise; Power demand; Resistors; Transconductance; Transistors; Epileptic Seizure; Low frequency High Pass Function (LFHPF); NSA; pseudo resistor;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
Conference_Location
Bhopal
Print_ISBN
978-1-4673-1516-6
Type
conf
DOI
10.1109/SCEECS.2012.6184790
Filename
6184790
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