ArticleSensors (Basel, Switzerland)2023
A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- EEG based real time classification of consecutive two eye blinks for brain computer interface applications.Scientific reports · 2025Article
- Single-channel attention classification algorithm based on robust Kalman filtering and norm-constrained ELM.Frontiers in human neuroscience · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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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.
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Registered trials
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