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https://doi.org/10.5772/38497...
Part of book or chapter of book . 2012 . Peer-reviewed
Data sources: Crossref
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Real-Time Low-Latency Estimation of the Blinking and EOG Signals

Authors: Robert Krupi; Przemysaw Mazurek;

Real-Time Low-Latency Estimation of the Blinking and EOG Signals

Abstract

Electrooculography biosignals (EOG) are very important for the eye orientation and eyelid movements (blinking) estimation. There are many applications of the EOG signals. Most important applications are related to the medical applications [Duchowski (2007)]. The EOG signal is used for the analysis of eye movement in the selected medical test of the eye related health problems. It is also important for the sleep analysis. The EOG signal has much higher level than the important EEG (electroencephalography) signals and should be removed from the EEG measurements [Duchowski (2007); Shayegh & Erfanian (2006)]. The reduction of the EOG artifacts from EEG is considered by many researchers and it is also important for the practical applications of the EEG–based Human–Computer Interfaces.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid