Results 21 to 30 of about 27,220,972 (292)
An Over-Complete Independent Component Analysis (ICA) Approach to Magnetic Resonance Image Analysis [PDF]
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005 This paper presents a new application of independent component analysis (ICA) in magnetic resonance (MR) image analysis. One of most successful applications for ICA-based approaches in MR imaging is functional MRI (fMRI) which basically deals with one-dimensional temporal signals.
Jing, Wang +5 more
openaire +2 more sources
Data in Brief, 2019 Here we present an electroencephalographic (EEG) collection of 71-channel datasets recorded from 14 subjects (7 males, 7 females, aged 20–40 years) while performing a visual working memory task with a T set of 150 Independent Component Analysis (ICA ...
Fiorenzo Artoni +2 more
doaj +1 more source
Watermark Detection and Extraction Using Independent Component Analysis Method
EURASIP Journal on Advances in Signal Processing, 2002 This paper proposes a new image watermarking technique, which adopts Independent Component Analysis (ICA) for watermark detection and extraction process (i.e., dewatermarking). Watermark embedding is performed in the spatial domain of the original image.
Yu Dan, Sattar Farook, Ma Kai-Kuang
doaj +1 more source
An algorithm for separation of mixed sparse and Gaussian sources. [PDF]
PLoS ONE, 2017 Independent component analysis (ICA) is a ubiquitous method for decomposing complex signal mixtures into a small set of statistically independent source signals.
Ameya Akkalkotkar, Kevin Scott Brown
doaj +1 more source
Correction of blink artifacts using independent component analysis and empirical mode decomposition. [PDF]
Blink-related ocular activity is a major source of artifacts in electroencephalogram (EEG) data. Independent component analysis (ICA) is a well-known technique for the correction of such ocular artifacts, but one of the limitations of ICA is that the ICs
Bhattacharya, Joydeep, Lindsen, Job P.
core +5 more sources
, 2009 Source analysis of the Auditory Evoked Potential (AEP) has been used before to evaluate the maturation of the auditory system in both adult and children; in the same way, this technique could be applied to ongoing EEG recordings, in response to acoustic ...
Castaneda-Villa, N.
core +2 more sources
Independent EEG sources are dipolar. [PDF]
PLoS ONE, 2012 Independent component analysis (ICA) and blind source separation (BSS) methods are increasingly used to separate individual brain and non-brain source signals mixed by volume conduction in electroencephalographic (EEG) and other electrophysiological ...
Arnaud Delorme +4 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk +10 more
wiley +1 more source
A multivariate generalized independent factor GARCH model with an application to financial stock returns [PDF]
, 2008 We propose a new multivariate factor GARCH model, the GICA-GARCH model , where the data are assumed to be generated by a set of independent components (ICs).
García-Ferrer, Antonio +2 more
core +1 more source
Leaf Vein Extraction Using Independent Component Analysis [PDF]
, 2006 The purpose of this work is to develop an interactive tool which helps botanists to extract the vein system with its hierarchical properties with as little user interaction as possible.
David D. Feng +5 more
core +1 more source