Results 31 to 40 of about 740,292 (226)
A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
Objective. Most current electroencephalography (EEG)-based brain–computer interfaces (BCIs) are based on machine learning algorithms. There is a large diversity of classifier types that are used in this field, as described in our 2007 review paper.
F. Lotte+6 more
semanticscholar +1 more source
Qualitative and Quantitative Characteristics of the Electroencephalogram in Normal Horses during Administration of Inhaled Anesthesia. [PDF]
BackgroundThe effects of anesthesia on the equine electroencephalogram (EEG) after administration of various drugs for sedation, induction, and maintenance are known, but not that the effect of inhaled anesthetics alone for EEG recording.ObjectiveTo ...
Aleman, M+8 more
core +1 more source
Sustainability indicators should implement the United Nations Sustainable Development Goals (UN SDGs). Indicators in literature often consider large sets of actions and are thus complex in application.
Matthias Maldet+4 more
doaj
TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition [PDF]
The high temporal resolution and the asymmetric spatial activations are essential attributes of electroencephalogram (EEG) underlying emotional processes in the brain.
Yi Ding+4 more
semanticscholar +1 more source
EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification [PDF]
Objective. Classification of electroencephalography (EEG)-based motor imagery (MI) is a crucial non-invasive application in brain–computer interface (BCI) research.
Ce Zhang, Young-Keun Kim, A. Eskandarian
semanticscholar +1 more source
The self-penguin contribution to $K \to 2 \pi$
We consider the contribution to $K \rightarrow 2 \pi$ decays from the non-diagonal $s \ra d$ quark transition amplitude. First, we calculate the most important part of the $s \rightarrow d$ transition, the so-called self-penguin amplitude $\sim G_F ...
A.E Bergan+46 more
core +1 more source
Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive functional neuroimaging.
Rihui Li+5 more
semanticscholar +1 more source
Non-leptonic decays in an extended chiral quark model
We consider the color suppressed (nonfactorizable) amplitude for the decay mode $\bar{B_{d}^0} \rightarrow \pi^0 \pi^{0} $. We treat the $b$-quark in the heavy quark limit and the energetic light ($u,d,s$) quarks within a variant of Large Energy ...
Eeg, J. O.
core +1 more source
A case of Creutzfeldt-Jakob disease in a 58-year-old Brazillian cattle rancher and businessman is presented. The EEG was normal, which is consistent with the fact that it was made during the first half of his illness; in a later stage suppression of ...
A.H. Chapman, Djalma Vieira e Silva
doaj +1 more source
Forventninger og helserett ved Ila fengsel og forvaringsanstalt
Soningsforholdene ved Ila fengsel og forvaringsanstalt har vært kritisert gjennom flere år, særlig med henblikk på isolasjon. Forventningene om forbedring er delvis utformet som forventninger til helsevesenet.
Øyvind Holst, Hanne Eeg-Henriksen
doaj +1 more source