Work

Performance of a Single-Flicker SSVEP BCI Using Single Channels

Year: 2025

Type: conference-paper

Abstract: This study investigated performance characteristics and channel selection strategies for single-flicker steady-state visual evoked potential (SSVEP) brain–computer interfaces (BCIs) using minimal recording channels. SSVEP clustering patterns from seven subjects, who focused on four static targets while being exposed to a central 15 Hz stimulus, were analyzed. Using a single-channel approach, signal energy patterns were examined, and principal component analysis (PCA) was performed, which explained over 90% of the data variance. The Calinski–Harabasz Index quantified state separability, identifying channels and comparisons with maximum clustering efficiency. The results demonstrate the feasibility of implementing single-flicker SSVEP BCIs with reduced recording channels, contributing to more practical and efficient BCI systems.

DOI: 10.3390/engproc2024081019

Authors: Gerardo Luis Padilla, Fernando Daniel Farfán

Institutions: National University of Tucumán, Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto Superior de Investigaciones Biológicas, Universitat de Miguel Hernández d'Elx

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Funders: Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Tucumán

OpenAlex ID: W4411093022

FWCI:

Cites: 8

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Related to: 10