Title :
Optimized LNA for analog RF front-end circuit in brain-machine interface
Author :
Guo, Haizheng ; Wang, Bo ; Liang, Bangli ; Kwasniewski, Tad ; Sobot, Robert
Author_Institution :
Dept. of Electron., Carleton Univ., Ottawa, ON, Canada
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.
Keywords :
Biomedical monitoring; Circuits; Electroencephalography; Humans; Implants; Low-noise amplifiers; Noise figure; Patient monitoring; Radio frequency; Wireless sensor networks; BMI; LNA; RFID; front-end circuit; implants;
Conference_Titel :
Wireless Communications, Networking and Information Security (WCNIS), 2010 IEEE International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
978-1-4244-5850-9
DOI :
10.1109/WCINS.2010.5541746