Ensemble Deep Neural Network for Automatic Classification of EEG Independent Components
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3154891
Abstract: Objective: Independent component analysis (ICA) is commonly used to remove noisy artifacts from multi-channel scalp electroencephalogram (EEG) signals. ICA decomposes EEG into different independent components (ICs) and then, experts remove the noisy ones. This process… read more here.
Keywords: neural network; ensemble deep; independent components; deep neural ... See more keywords
Impact of reduced-dimensionality independent components analysis on event-related potential measurements.
Sign Up to like & getrecommendations! Published in 2022 at "Psychophysiology"
DOI: 10.1111/psyp.14223
Abstract: Independent components analysis (ICA) is an effective and ubiquitous tool for cleaning EEG. To reduce computation time, many analysis pipelines decrease EEG dimensionality prior to ICA. A 2018 report by Artoni and colleagues detailed the… read more here.
Keywords: ica; components analysis; independent components; reduced dimensionality ... See more keywords
Investigation of Origanum libanoticum Essential Oils Chemical Polymorphism by Independent Components Analysis (ICA)
Sign Up to like & getrecommendations! Published in 2018 at "Natural Product Communications"
DOI: 10.1177/1934578x1801301237
Abstract: The essential oils obtained from Origanum libanoticum Boiss., a plant endemic to Lebanon, were analyzed by GC/MS. Seventy compounds were identified, covering till 99.8% of the total oil composition. All samples were p-cymene and/or β-caryophyllene… read more here.
Keywords: components analysis; origanum libanoticum; analysis ica; independent components ... See more keywords
Investigating Brain Connectomic Alterations in Autism Using the Reproducibility of Independent Components Derived from Resting State Functional MRI Data
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2017.00459
Abstract: Significance: Autism is a developmental disorder that is currently diagnosed using behavioral tests which can be subjective. Consequently, objective non-invasive imaging biomarkers of Autism are being actively researched. The common theme emerging from previous functional… read more here.
Keywords: autism; independent components; resting state; reproducibility independent ... See more keywords