title: Extraction of SSVEP signals of a capacitive EEG helmet for human machine interface.
abstract: The use of capacitive electrodes for measuring EEG eliminates the preparation procedure known from classical noninvasive EEG measurements. The insulated interface to the brain signals in combination with steady-state visual evoked potentials (SSVEP) enables a zero prep human machine interface triggered by brain signals. This paper presents a 28-channel EEG helmet system based on our capacitive electrodes measuring and analyzing SSVEPs even through scalp hair. Correlation analysis is employed to extract the stimulation frequency of the EEG signal. The system is characterized corresponding to the available detection time with different subjects. As demonstration of the use of capacitive electrodes for SSVEP measurements, preliminary online Brain-Computer Interface (BCI) results of the system are presented. Detection times lie about a factor of 3 higher than in galvanic EEG SSVEP measurements, but are low enough to establish a proper communication channel for Human Machine Interface (HMI).
authors.affiliation: Institute of Electrical Measurement and Fundamental Electrical Engineering, TU Braunschweig, 38106, Germany. m.oehler@tu-bs.de
authors.forename: Martin
authors.initials: M
authors.lastname: Oehler
authors.forename: Peter
authors.initials: P
authors.lastname: Neumann
authors.forename: Matthias
authors.initials: M
authors.lastname: Becker
authors.forename: Gabriel
authors.initials: G
authors.lastname: Curio
authors.forename: Meinhard
authors.initials: M
authors.lastname: Schilling
mesh_terms: D000465:Algorithms; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004566:Electrodes; D004569:Electroencephalography / Q000379:methods*; D004867:Equipment Design; D005074:Evoked Potentials, Visual / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods; D012680:Sensitivity and Specificity; D014584:User-Computer Interface; D014793:Visual Cortex / Q000502:physiology*