RT Journal Article
T1 A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset
A1 López de Ahumada Gutiérrez, Rafael
A1 Jiménez Naharro, Raúl
A1 Gómez Bravo, Fernando
AB Eye blink artifacts in electroencephalographic (EEG) signals have been used in multiple applications as an effective method for human-computer interaction. Hence, an effective and low-cost blinking detection method would be an invaluable aid for the development of this technology. A configurable hardware algorithm, described using hardware description language, for eye blink detection based on EEG signals from a one-channel brain-computer interface (BCI) headset was developed and implemented, showing better performance in terms of effectiveness and detection time than manufacturer-provided software.
PB MDPI
SN 1424-8220 (electrónico)
YR 2023
FD 2023-06
LK https://hdl.handle.net/10272/22177
UL https://hdl.handle.net/10272/22177
LA eng
NO López-Ahumada, R., Jiménez-Naharro, R. &  Gómez-Bravo, F. (2023) . A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset, In Sensors (V. 23, n. 11. p. 5339). https://doi.org/10.3390/s23115339
DS Repositorio Institucional de la Universidad de Huelva
RD 2 jun 2026