DocumentCode :
3194988
Title :
A new architecture for neural signal amplification in implantable brain machine interfaces
Author :
Rehman, Saif Ur ; Kamboh, Awais Mehmood
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci, Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
2744
Lastpage :
2747
Abstract :
This paper reports a new architecture for variable gain-bandwidth amplification of neural signals to be used in implantable multi-channel recording systems. The two most critical requirements in such a front-end circuit are low power consumption and chip area, especially as number of channels increases. The presented architecture employs a single super-performing amplifier, with tunable gain and bandwidth, combined with several low-key preamplifiers and multiplexors for multi-channel recordings. This is in contrast to using copies of high performing amplifier for each channel as is typically reported in earlier literature. The resulting circuits consume lower power and require smaller area as compared to existing designs. Designed in 0.5μmCMOS, the 8-channel prototype can simultaneously record Local Field Potentials and neural spikes, with an effective power consumption of 3.5 μW per channel and net core area of 0.407mm2.
Keywords :
CMOS integrated circuits; biomedical electronics; brain-computer interfaces; digital signal processing chips; medical signal processing; multiplexing equipment; neurophysiology; power consumption; preamplifiers; CMOS; chip area; circuits; front-end circuit; high-performing amplifier; implantable brain machine interfaces; implantable multichannel recording systems; local field potentials; low-key preamplifiers; multiplexors; neural signal amplification; neural spikes; power 3.5 muW; power consumption; single superperforming amplifier; size 0.5 mum; variable gain-bandwidth amplification; 1f noise; Bandwidth; Electrodes; Power demand; Preamplifiers; Prototypes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610108
Filename :
6610108
Link To Document :
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