Title: Decoding SSVEP responses based on PARAFAC decomposition
Authors: Manyakov, Nikolay V. ×
Chumerin, Nikolay
Combaz, Adrien
Robben, Arne
van Vliet, Marijn
Van Hulle, Marc #
Issue Date: 2012
Conference: International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2012) location:Vilamoura (Algarve) date:1-4 Febuary 2012
Abstract: In this position paper, we investigate whether a parallel factor
analysis (Parafac) decomposition is beneficial to the decoding of
steady-state visual evoked potentials (SSVEP) present in
electroencephalogram (EEG) recordings taken from the subject's scalp. In
particular, we develop an automatic algorithm aimed at detecting the
stimulation frequency after Parafac decomposition. The results are
validated on recordings made from 54 subjects using consumer-grade EEG
hardware (Emotiv's EPOC headset) in a real-world environment. The
detection of one frequency among 12, 4 and 2 possible was considered
to assess the feasibility for Brain Computer Interfacing (BCI).
We determined the frequencies subsets, among all subjects, that maximize
the detection rate.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Group Neurophysiology
Laboratory for Neuro- and Psychofysiology
× corresponding author
# (joint) last author

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