Steady state visual evoked potentials-based patient interface under breathing constraints
Résumé
Steady state visual evoked potentials (SSVEP)
have been widely utilized in brain computer interfacing (BCI)
in last years. In this paper, we present a study exploring
the possibilities of SSVEP to manage the communication
between patients suffering respiratory disorders and health
care providers. By imposing different breathing constraints,
five healthy subjects communicated their breathing sensations
(breathing well/breathing bad) using a visual frequency tagging
paradigm: two visual stimuli with different flickering
frequencies (15 and 20 Hz) were simultaneously presented on
a screen. Using electroencephalographic (EEG) signals from
only three EEG electrodes, two spectral features were extracted
by a spatial filter in a sliding window, then classified by an
unsupervised algorithm based on k-medians. Average detection
success rates were of 70% during breathing discomfort, and
of 83% when subjects breathed comfortably. Results suggest
that SSVEP-based BCI may be a promising choice to improve
patient-caregiver communication in situations of breathing
discomfort when verbal communication is difficult
Domaines
Ingénierie biomédicale
Origine : Fichiers produits par l'(les) auteur(s)
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