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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hartmann, M. Kluge, T. |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of Neuroinformatics, Austrian Res. Centers, Vienna (Hartmann, M.; Kluge, T.) |
| Abstract | In this paper a novel phase coherent detection method for discrimination of steady-state evoked potentials is introduced. This method utilizes information on the stimulus phase, resulting in significantly decreased classification error probabilities compared to non-coherent methods. Moreover it allows for detection of phase shifted stimuli. A theoretical framework for non-stationary modelling and analysis of steady-state evoked potentials is proposed. A detection scheme is presented and analyzed in terms of error probabilities in order to allow for optimization of design parameters. Experimental results demonstrate the consistency of the theoretical results and experimental data. |
| Starting Page | 179 |
| Ending Page | 183 |
| File Size | 259145 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424407915 |
| DOI | 10.1109/CNE.2007.369641 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-05-02 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fourier transforms Error probability Frequency Brain modeling Electroencephalography Steady-state Performance analysis Phase detection Design optimization Brain computer interfaces |
| Content Type | Text |
| Resource Type | Article |
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