Decoding SSVEP responses based on PARAFAC decomposition

Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Arne Robben; Marijn van Vliet; Marc M. Van Hulle

Decoding SSVEP responses based on PARAFAC decomposition

Nikolay V. Manyakov^*, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle

^*Corresponding author for this work

Not published at Aalto University

KU Leuven

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing
Pages	443-447
Number of pages	5
Publication status	Published - 13 Jun 2012
MoE publication type	A4 Conference publication
Event	International Conference on Bio-inspired Systems and Signal Processing - Vilamoura, Portugal Duration: 1 Feb 2012 → 4 Feb 2012

Conference

Conference	International Conference on Bio-inspired Systems and Signal Processing
Abbreviated title	BIOSIGNALS
Country/Territory	Portugal
City	Vilamoura
Period	01/02/2012 → 04/02/2012

Keywords

Decoding
EEG
Parafac
Steady-state visual evoked potential

Cite this

@inproceedings{26f48abdc5dc4691882fb9e79c5fad22,

title = "Decoding SSVEP responses based on PARAFAC decomposition",

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.",

keywords = "Decoding, EEG, Parafac, Steady-state visual evoked potential",

author = "Manyakov, {Nikolay V.} and Nikolay Chumerin and Adrien Combaz and Arne Robben and {van Vliet}, Marijn and {Van Hulle}, {Marc M.}",

year = "2012",

month = jun,

day = "13",

language = "English",

isbn = "9789898425898",

pages = "443--447",

booktitle = "BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing",

note = "International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS ; Conference date: 01-02-2012 Through 04-02-2012",

}

Manyakov, NV, Chumerin, N, Combaz, A, Robben, A, van Vliet, M & Van Hulle, MM 2012, Decoding SSVEP responses based on PARAFAC decomposition. in BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing. pp. 443-447, International Conference on Bio-inspired Systems and Signal Processing, Vilamoura, Portugal, 01/02/2012.

Decoding SSVEP responses based on PARAFAC decomposition. / Manyakov, Nikolay V.; Chumerin, Nikolay; Combaz, Adrien et al.
BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing. 2012. p. 443-447.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Decoding SSVEP responses based on PARAFAC decomposition

AU - Manyakov, Nikolay V.

AU - Chumerin, Nikolay

AU - Combaz, Adrien

AU - Robben, Arne

AU - van Vliet, Marijn

AU - Van Hulle, Marc M.

PY - 2012/6/13

Y1 - 2012/6/13

N2 - 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.

AB - 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.

KW - Decoding

KW - EEG

KW - Parafac

KW - Steady-state visual evoked potential

UR - http://www.scopus.com/inward/record.url?scp=84861989158&partnerID=8YFLogxK

M3 - Conference article in proceedings

AN - SCOPUS:84861989158

SN - 9789898425898

SP - 443

EP - 447

BT - BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing

T2 - International Conference on Bio-inspired Systems and Signal Processing

Y2 - 1 February 2012 through 4 February 2012

ER -

Decoding SSVEP responses based on PARAFAC decomposition

Abstract

Conference

Keywords

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