This paper presents a brain-computer interface (BCI) that can help users to input phone
numbers. The system is based on the steady-state visual evoked potential (SSVEP). Twelve …

In this paper, novel methods for detecting steady-state visual evoked potentials using
multiple electroencephalogram (EEG) signals are presented. The methods are tailored for …

Goal: Motor imagery-related mu/beta rhythms, which can be voluntarily modulated by
subjects, have been widely used in EEG-based brain computer interfaces (BCIs). Moreover …

Spectral analysis of repeatedly evoked potentials (EPs) is challenging since recordings
contain a superposition of evoked signals and spontaneous activity. We developed a novel …

This paper proposes the integration of two systems: a brain-computer interface (BCI) based
on steady-state visual evoked potentials (SSVEPs) and an autonomous robotic wheelchair …

Power Spectral Density (PSD) is an essential representation of the signal spectrum that
depicts the power measurement content versus frequency. PSD is typically used to …

In this work, a brain-computer interface (BCI) based on steady-state visual evoked potentials
(SSVEP) is presented as an input device for the human machine interface (HMI) of the semi …

Brain-computer interface systems with Electroencephalogram (EEG), especially those use
motor-imagery (MI) signals, have demonstrated the ability to control electromechanical …

This work presents a Brain-Computer Interface (BCI) based on the Steady-State Visual
Evoked Potential (SSVEP) that can discriminate four classes once per second. A statistical …

Objective. Spatial filtering has proved to be a powerful pre-processing step in detection of
steady-state visual evoked potentials and boosted typical detection rates both in offline …