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A Two Stage Power Optimized Implantable Neural Amplifier Based on Cascoded Structures


Volume 1 Issue 3 June - August 2013
Research Paper
A Two Stage Power Optimized Implantable Neural Amplifier Based on Cascoded Structures
GuangleiAn*, Chris Hutchens**, Robert.L.Renneker II***
* PhD Student, MSVLSI Laboratory, School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, Oklahoma.
** MSVLSI Laboratory, School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, Oklahoma.
*** Department of Behavioral and Brain Sciences, Erik Jonsson School of Engineering, University of Texas at Dallas, Richardson, Texas.
GuangleiAn, Hutchens, C., and Renneker II, R. L. (2013). Two Stage Power Optimized Implantable Neural Amplifier Based On Cascoded Structures. i-manager’s Journal on Circuits and Systems, 1(3), 1-7. https://doi.org/10.26634/jcir.1.3.2441
Abstract
A low power, low noise of the two stage neural amplifier used in an intelligent Radio-Frequency Identification (RFID) based on folded cascode Operational Transconductance Amplifier (OTA) is presented. The optimization of the number of amplifier stages are discussed to achieve the minimum power and area consumption. The amplifier was submitted for fabrication in a 0.18 μm CMOS process. The amplifier power supply is 0.7V. The midband gain of amplifier is 58.4dB with a 3dB bandwidth from 0.71 to 8.26 kHz. Measured input-referred noise and total power consumption are 20.7μV rms and 1.90 μW respectively. The measured result shows that optimizing the number of stages can achieve lower power consumption and demonstrates the neural amplifier's suitability for instu neutral activity recording.

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