title: A Double-Partial Least-Squares Model for the Detection of Steady-State Visual Evoked Potentials.
abstract: Establishing a high-accuracy and training-free brain-computer interface (BCI) system is essential for improving BCI practicality. In this study, we propose for the first time a training-free double-partial least-squares (D-PLS) model for steady-state visual evoked potential (SSVEP) detection that consists of double-layer PLS, a PLS spatial filter, and a PLS feature extractor. Electroencephalographic data from 11 healthy volunteers under four different visual stimulation frequencies were used to test the proposed method. Compared with commonly used spatial filters, minimum energy combination and average maximum contrast combination, the classification accuracies could be improved 2-10% by our proposed PLS spatial filter. Furthermore, our proposed PLS feature extractor achieved better performance than current feature extraction methods, namely power spectral density analysis, canonical correlation analysis, and the use of the least absolute shrinkage and selection operator. The average classification accuracy for our proposed D-PLS model exceeded [Formula: see text] when the signal time window was longer than 3.5 s and reached as high as [Formula: see text] when the time window was 5 s. Moreover, the D-PLS model can be easily set without training data, so it can be used widely in SSVEP-based BCI systems.
authors.forename: Sheng
authors.initials: S
authors.lastname: Ge
authors.forename: Ruimin
authors.initials: R
authors.lastname: Wang
authors.forename: Yue
authors.initials: Y
authors.lastname: Leng
authors.forename: Haixian
authors.initials: H
authors.lastname: Wang
authors.forename: Pan
authors.initials: P
authors.lastname: Lin
authors.forename: Keiji
authors.initials: K
authors.lastname: Iramina
mesh_terms: D000293:Adolescent; D000328:Adult; D062207:Brain-Computer Interfaces; D004569:Electroencephalography / Q000379:methods*; D005074:Evoked Potentials, Visual / Q000502:physiology*; D005260:Female; D006801:Humans; D016018:Least-Squares Analysis; D008297:Male; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult