@inproceedings{32e3301d9f4a4e5d9d6dbc9b7c42e1de,
title = "Real-time detection and filtering of eye blink related artifacts for brain-computer interface applications",
abstract = "Artifacts related with eye movements are the most significant source of noise in EEG signals. Although there are many methods of their filtering available, most of them are not suitable for real-time applications, such as Brain-Computer Interfaces. In addition, most of those methods require an additional recording of noise signal to be provided. Applying filtering to the recorded EEG signal may unintentionally distort its uncontaminated segments. To reduce that effect filtering should be applied only to those parts of signal that were marked as artifacts. In this paper it was proven that it is possible to detect and filter those artifacts in real-time, without the need of providing an additional recording of noise signal.",
keywords = "Artifact detection, Artifact filtering, BCI, Brain computer interfaces, EEG, Ocular artifacts, Real-time artifact detection",
author = "Bartosz Binias and Henryk Palus and Krzysztof Jaskot",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 4th International Conference on Man{\textendash}Machine Interactions, ICMMI 2015 ; Conference date: 06-10-2015 Through 09-10-2015",
year = "2016",
doi = "10.1007/978-3-319-23437-3\_24",
language = "English",
isbn = "9783319234366",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "281--290",
editor = "Tadeusz Czach{\'o}rski and Aleksandra Gruca and Agnieszka Brachman and Stanis{\l}aw Kozielski and Tadeusz Czach{\'o}rski",
booktitle = "Man{\textendash}Machine Interactions - 4th International Conference on Man{\textendash}Machine Interactions, ICMMI 2015",
address = "Germany",
}