@article{10272/22177,
year = {2023},
month = {6},
url = {https://hdl.handle.net/10272/22177},
abstract = {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.},
publisher = {MDPI},
title = {A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset},
doi = {10.3390/s23115339},
author = {López de Ahumada Gutiérrez, Rafael and Jiménez Naharro, Raúl and Gómez Bravo, Fernando},
}