Paper Info
Title
Optimized LNA for analog RF front-end circuit in brain-machine interface
Abstract
Advances in hardware technology, and wireless network have led to widely usage of implantable wireless micro-systems. These applications demand for small, low-cost, and low-power wireless transceivers. One of the most important blocks in wireless receivers is the low-noise amplifier (LNA). This paper presents a biasing optimized LNA for analog front-end circuit in brain-machine interface. An optimized biasing technique is thoroughly analyzed first in this paper, and a LNA circuit is designed based on this technique.
Year
DOI
Venue
2010
10.1109/WCINS.2010.5541746
WCNIS
Keywords
Field
DocType
lna,implants,bmi,rfid,front-end circuit,patient monitoring,wireless sensor networks,transceivers,electroencephalography,noise measurement,circuits,brain machine interface,noise figure,brain computer interfaces,wireless network,front end,radio frequency,low noise amplifier
RF front end,Wireless network,Transceiver,Wireless,Noise measurement,Computer science,Radio frequency,Electrical engineering,Amplifier,Biasing
Conference
ISBN
Citations 
PageRank 
978-1-4244-5850-9
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Haizheng Guo132.65
Bo Wang202.03
Bangli Liang302.37
Tad A. Kwasniewski44313.71
Robert Sobot5165.70