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Content Provider | IEEE Xplore Digital Library |
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Author | Major, T.C. Conrad, J.M. |
Copyright Year | 2014 |
Description | Author affiliation: Electr. & Comput. Eng, Univ. of North Carolina at Charlotte, Charlotte, NC, USA (Major, T.C.; Conrad, J.M.) |
Abstract | This paper concerns the theory behind developing a brain computer interface (BCI) and the applications of such a system. Signal acquisition methods such as Functional Magnetic Resonance Imaging (fMRI), Near-Infrared Spectroscopy (NIRS), Magnetoencephalography (MEG), Electrocorticography (ECoG), and Electroencephalography (EEG) are discussed. There is also a review of the different types of Event Related Potentials (ERP) and signal extraction methods for generating filters from the captured data to generate a model for a BCI. Finally, this paper covers a review of notable BCIs that are being utilized in a wide range of applications and gives a working example using BCILAB to generate results from a sample data set using the techniques discussed in the paper. |
Starting Page | 1 |
Ending Page | 8 |
File Size | 586892 |
Page Count | 8 |
File Format | |
ISBN | 9781479965854 |
ISSN | 1558058X |
DOI | 10.1109/SECON.2014.6950751 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-03-13 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Electroencephalography Electrodes Sensors Magnetic resonance imaging Signal resolution Arrays Control systems Signal Processing Brain Computer Interface Control Systems |
Content Type | Text |
Resource Type | Article |
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