Literature DB >> 15866182

Independent component analysis: an introduction.

James V Stone1.   

Abstract

Independent component analysis (ICA) is a method for automatically identifying the underlying factors in a given data set. This rapidly evolving technique is currently finding applications in analysis of biomedical signals (e.g. ERP, EEG, fMRI, optical imaging), and in models of visual receptive fields and separation of speech signals. This article illustrates these applications, and provides an informal introduction to ICA.

Entities:  

Year:  2002        PMID： 15866182     DOI： 10.1016/s1364-6613(00)01813-1

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN： 1364-6613            Impact factor:   20.229


  47 in total

1.  Independent component analysis of the EEG: is this the way forward for understanding abnormalities of brain-gut signalling?

Authors:  A R Hobson; A Hillebrand
Journal:  Gut       Date:  2006-05       Impact factor: 23.059

2.  The effect of a serotonin-induced dissociation between spiking and perisynaptic activity on BOLD functional MRI.

Authors:  Alexander Rauch; Gregor Rainer; Nikos K Logothetis
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-02       Impact factor: 11.205

3.  Blind Source Separation - Based Motion Detector for Sub-Micrometer, Periodic Displacement in Ultrasonic Imaging.

Authors:  Md Murad Hossain; Diwash Thapa; Justin Sierchio; Amy Oldenburg; Caterina Gallippil
Journal:  IEEE Int Ultrason Symp       Date:  2016-11-03

4.  Cerebral processing of painful oesophageal stimulation: a study based on independent component analysis of the EEG.

Authors:  A M Drewes; S A K Sami; G Dimcevski; K D Nielsen; P Funch-Jensen; M Valeriani; L Arendt-Nielsen
Journal:  Gut       Date:  2005-10-06       Impact factor: 23.059

5.  Neural changes after phonological treatment for anomia: An fMRI study.

Authors:  Elizabeth Rochon; Carol Leonard; Hana Burianova; Laura Laird; Peter Soros; Simon Graham; Cheryl Grady
Journal:  Brain Lang       Date:  2010-06-14       Impact factor: 2.381

6.  Maternal MCG interference cancellation using splined independent component subtraction.

Authors:  Suhong Yu; Ronald T Wakai
Journal:  IEEE Trans Biomed Eng       Date:  2011-06-27       Impact factor: 4.538

7.  Performance of principal component analysis and independent component analysis with respect to signal extraction from noisy positron emission tomography data - a study on computer simulated images.

Authors:  Pasha Razifar; Hamid Hamed Muhammed; Fredrik Engbrant; Per-Edvin Svensson; Johan Olsson; Ewert Bengtsson; Bengt Långström; Mats Bergström
Journal:  Open Neuroimag J       Date:  2009-04-01

8.  Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics.

Authors:  J William Allwood; Alexander Erban; Sjaak de Koning; Warwick B Dunn; Alexander Luedemann; Arjen Lommen; Lorraine Kay; Ralf Löscher; Joachim Kopka; Royston Goodacre
Journal:  Metabolomics       Date:  2009-07-24       Impact factor: 4.290

9.  Effects of continuous positive airway pressure on neurocognitive function in obstructive sleep apnea patients: The Apnea Positive Pressure Long-term Efficacy Study (APPLES).

Authors:  Clete A Kushida; Deborah A Nichols; Tyson H Holmes; Stuart F Quan; James K Walsh; Daniel J Gottlieb; Richard D Simon; Christian Guilleminault; David P White; James L Goodwin; Paula K Schweitzer; Eileen B Leary; Pamela R Hyde; Max Hirshkowitz; Sylvan Green; Linda K McEvoy; Cynthia Chan; Alan Gevins; Gary G Kay; Daniel A Bloch; Tami Crabtree; William C Dement
Journal:  Sleep       Date:  2012-12-01       Impact factor: 5.849

10.  Prediction of human errors by maladaptive changes in event-related brain networks.

Authors:  Tom Eichele; Stefan Debener; Vince D Calhoun; Karsten Specht; Andreas K Engel; Kenneth Hugdahl; D Yves von Cramon; Markus Ullsperger
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-21       Impact factor: 11.205
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