@article{256c03c5865f4171b166f82235a6b970,
title = "Automatic identification of artifacts and unwanted physiologic signals in EEG and EOG during wakefulness",
abstract = "A set of computationally inexpensive methods for reliable and robust detection of undesired signals in the EEG and EOG was designed, implemented, and tested. This strategy includes detection of eye blinking, eye movements, muscle activity, and flat lines in multichannel EEG and EOG data. The proposed methodology was verified on real awake data acquired in controlled conditions (44 recordings of total length 26.38 h) during Maintenance of Wakefulness Tests (MWT). The algorithms worked reliably (average precision was 0.992 ± 0.006, accuracy 0.988 ± 0.006, sensitivity 0.985 ± 0.009, and F1 score 0.988 ± 0.006) and fast (1 h of recording processed in 46.2 ± 5.3 s). We suggest testing this versatile and fast methodology on other type of EEG recordings with modification of threshold parameters if needed. This article reports data from a clinical trials no. NCT01433315 and NCT01580761.",
keywords = "Artifacts, Automatic, Detection, EEG, Identification, Wakefulness",
author = "V. Gerla and V. Kremen and N. Covassin and L. Lhotska and Saifutdinova, {E. A.} and J. Bukartyk and V. Marik and Somers, {V. K.}",
note = "Funding Information: V. Gerla was supported by the European social fund within the framework of the following project: Support of inter-sectoral mobility and quality enhancement of research teams at Czech Technical University in Prague, CZ.1.07/2.3.00/30.0034. N. Covassin was supported by AHA 13POST16420009. E.A. Saifutdinova was supported by project SGS13/203/OHK3/3T/13 of the Czech Technical University in Prague. These studies were also supported by NIH R01 HL 114024 Interactions between obesity risk and insufficient sleep, NIH R01 HL 114676 Sleep restriction and augmented vascular risk in prehypertension, European Regional Development Fund – project FNUSA-ICRC (CZ.1.05/1.1.00/02.0123) and CTSA Grant UL1 TR000135 from the National Center for Advancing Translational Sciences (NCATS) , a component of the National Institutes of Health (NIH) . Its contents are solely the responsibility of the authors and do not necessarily represent the official view of NIH. We also thank to Hugh D. Stier, Timothy L. Prince, Maria G. Prendergast and Trudy A. Hansen who contributed to the acquisition of the data. Publisher Copyright: {\textcopyright} 2016 Elsevier Ltd",
year = "2017",
month = jan,
day = "1",
doi = "10.1016/j.bspc.2016.09.006",
language = "English (US)",
volume = "31",
pages = "381--390",
journal = "Biomedical Signal Processing and Control",
issn = "1746-8094",
publisher = "Elsevier BV",
}