López de Ahumada Gutiérrez, RafaelJiménez Naharro, RaúlGómez Bravo, Fernando2023-06-072023-06-072023-06López-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/s231153391424-8220 (electrónico)https://hdl.handle.net/10272/22177Eye 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.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Eye blinking detectionFPGAArduinoMindwave headsetjournal article10.3390/s23115339open access33 Ciencias Tecnológicas