Automatic identification of artifacts and unwanted physiologic signals in EEG and EOG during wakefulness
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00303256" target="_blank" >RIV/68407700:21230/17:00303256 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/17:00303256
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S174680941630132X" target="_blank" >http://www.sciencedirect.com/science/article/pii/S174680941630132X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.bspc.2016.09.006" target="_blank" >10.1016/j.bspc.2016.09.006</a>
Alternative languages
Result language
angličtina
Original language name
Automatic identification of artifacts and unwanted physiologic signals in EEG and EOG during wakefulness
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Biomedical Signal Processing and Control
ISSN
1746-8094
e-ISSN
1746-8108
Volume of the periodical
31
Issue of the periodical within the volume
January
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
10
Pages from-to
381-390
UT code for WoS article
000386984300042
EID of the result in the Scopus database
2-s2.0-84987903150