A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset

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 har...

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Autores principales: López-Ahumada, Rafael, Jiménez-Naharro, Raúl, Gómez-Bravo, Fernando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255990/
https://www.ncbi.nlm.nih.gov/pubmed/37300066
http://dx.doi.org/10.3390/s23115339
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author López-Ahumada, Rafael
Jiménez-Naharro, Raúl
Gómez-Bravo, Fernando
author_facet López-Ahumada, Rafael
Jiménez-Naharro, Raúl
Gómez-Bravo, Fernando
author_sort López-Ahumada, Rafael
collection PubMed
description 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.
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spelling pubmed-102559902023-06-10 A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset López-Ahumada, Rafael Jiménez-Naharro, Raúl Gómez-Bravo, Fernando Sensors (Basel) Article 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. MDPI 2023-06-05 /pmc/articles/PMC10255990/ /pubmed/37300066 http://dx.doi.org/10.3390/s23115339 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
López-Ahumada, Rafael
Jiménez-Naharro, Raúl
Gómez-Bravo, Fernando
A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset
title A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset
title_full A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset
title_fullStr A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset
title_full_unstemmed A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset
title_short A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset
title_sort hardware-based configurable algorithm for eye blink signal detection using a single-channel bci headset
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255990/
https://www.ncbi.nlm.nih.gov/pubmed/37300066
http://dx.doi.org/10.3390/s23115339
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