DocumentCode :
700164
Title :
Time Delay Neural Network with Fourier transform for multiple channel detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces
Author :
Cecotti, Hubert ; Graser, Axel
Author_Institution :
Inst. fur Automatisierungstechnik (IAT), Univ. of Bremen, Bremen, Germany
fYear :
2008
fDate :
25-29 Aug. 2008
Firstpage :
1
Lastpage :
5
Abstract :
In BCI (Brain-Computer Interface) systems, brain signals must be processed to identify distinct activities that convey different mental states. For example, in BCIs that rely on Steady-State Visual Evoked Potentials (SSVEP) recognize EEG activity that reflects attention to a particular stimulus. In this paper, we propose a new technique for the classification of SSVEP-activity for non-invasive BCI. The proposed method is based on a Time Delay Neural Network that includes a Fourier transform in order to switch between the analysis of layers in the time domain to layers in the frequency domain. The first step allows the creation of different channels. The second step is dedicated to signal processing of these channels in the frequency domain. The last step is the classification. The presented results on offline processing correspond for electroencephalographic (EEG) signals obtained with 6 electrodes on 3 subjects. We compare our method on two time segments with the average combination method. These results outperform the average combination method and are promising for online processing.
Keywords :
Fourier transforms; brain-computer interfaces; electroencephalography; frequency-domain analysis; medical signal detection; medical signal processing; neural nets; signal classification; time-domain analysis; visual evoked potentials; BCI systems; EEG activity recognition; Fourier transform; SSVEP-activity classification; average combination method; brain signals; brain-computer interfaces; electroencephalographic signals; frequency domain analysis; multiple channel detection; noninvasive BCI; offline processing; online processing; signal processing; steady-state visual evoked potentials; time delay neural network; time domain analysis; time segments; Biological neural networks; Databases; Electrodes; Electroencephalography; Neurons; Signal processing; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2008 16th European
Conference_Location :
Lausanne
ISSN :
2219-5491
Type :
conf
Filename :
7080696
Link To Document :
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