NDLI: Design of an electronic device for brain computer interface applications

Content Provider	IEEE Xplore Digital Library
Author	Palumbo, A. Vizza, P. Veltri, P. Gambardella, A. Pucci, F. Sturniolo, M.
Copyright Year	2009
Description	Author affiliation: Institute of Neurology, University Magna Graecia of Catanzaro, 88100, Italy (Gambardella, A.; Pucci, F.) \|\| School of Computer and Biomedical Engineering, University Magna Græcia of Catanzaro, 88100, Italy (Palumbo, A.; Vizza, P.; Veltri, P.) \|\| Institute of Neurological Sciences, National Research Council, Piano Lago (CS), Italy (Sturniolo, M.)
Abstract	This paper presents the design of an amplifier for EEG signals. The study of EEG signals is very important for the detection of cerebral rhythmic and any abnormalities. Brain waves are classified with respect to human activity; these signals represent an extremely low dynamic range (5 – 200µV), in a frequency band of 0.5 – 40Hz. Brain electrical potentials are acquired through the use of special surface electrodes, with a monopolar mounting: sensing electrode is placed over the skull of interest, while along the mid line a second electrode is positioned for reference electrode. This work describes the single electronic stage for the conditioning of the analog acquired signal. The final simulations of the whole electronic circuit are showed and a comparison with the devices on the market is reported.
Starting Page	99
Ending Page	103
File Size	767433
Page Count	5
File Format	PDF
ISBN	9781424435982
DOI	10.1109/MEMEA.2009.5167963
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-29
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brain computer interfaces Application software Electrodes Consumer electronics Electroencephalography Signal design Humans Dynamic range Frequency Electric potential power dissipation signal conditioning noise level
Content Type	Text
Resource Type	Article

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